From b43786552f0dd1973ac013c1fc185b34b7292119 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Tue, 30 Nov 2021 20:31:23 -0700 Subject: [PATCH 01/45] update submodule link to NoahMP master branch --- .gitmodules | 2 +- noahmp | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitmodules b/.gitmodules index 3e52658..81982ca 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,4 +1,4 @@ [submodule "noahmp"] path = noahmp url = https://github.com/NCAR/noahmp - branch = develop + branch = master diff --git a/noahmp b/noahmp index 4a871f6..2e8ab9d 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 4a871f6883f59537537f15a1dc4ceb93a6ff7cf2 +Subproject commit 2e8ab9d7fd0f38c0cbbc93d5f031c9b8d91ca11b From 6de0def73111ac54bbdc089707fa104bb0a60796 Mon Sep 17 00:00:00 2001 From: Cenlin_He Date: Tue, 30 Nov 2021 21:58:15 -0700 Subject: [PATCH 02/45] Update README.md --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index ce3a5b7..85080fa 100644 --- a/README.md +++ b/README.md @@ -5,14 +5,14 @@ This is the offical HRLDAS/Noah-MP unified Github repository for code downloadin HRLDAS (High Resolution Land Data Assimilation System) contains the Noah-MP Land Surface Model and can be executed in offline uncoupled mode for a 2-D gridded domain or a single point. -As of May 6, 2020, this repository does not explicitly contain the Noah-MP code and parameters, but +As of May 6, 2020, this repository does not explicitly contain the Noah-MP code and parameter tables, but connects to the Noah-MP repository (https://github.com/NCAR/noahmp) through git submodules. To clone this repository and populate with the Noah-MP code/parameters, use the following command: git clone --recurse-submodules https://github.com/NCAR/hrldas -Some changes have been made to the structure of archiving the stand-alone version of HRLDAS/Noah-MP code in the Github repository. Now, it separately archives the core Noah-MP source code (module_sf_noahmplsm.F & MPTABLE.TBL) in another core Noah-MP Github repository (https://github.com/NCAR/noahmp) and the rest of the driver and related files (e.g., module_sf_noahmpdrv.F, etc.) in this HRLDAS Github repository. The HRLDAS Github repo is already linked to thecore Noah-MP code repository through git submodules. This new archiving structure will allow different host model platforms/systems (e.g., HRLDAS, WRF, UFS, NWM, LIS, etc.) to connect to the core Noah-MP source code and develop their own host model drivers. +Some changes have been made to the structure of archiving the stand-alone version of HRLDAS/Noah-MP code in the Github repository. Now, it separately archives the core Noah-MP source code in another core Noah-MP Github repository (https://github.com/NCAR/noahmp) and the rest of the HRLDAS-related files in this HRLDAS Github repository. The HRLDAS Github repo is already linked to the core Noah-MP code repository through git submodules. This new archiving structure will allow different host model platforms/systems (e.g., HRLDAS, WRF, UFS, NWM, LIS, etc.) to connect to the core Noah-MP source code and develop their own host model drivers. Model developers can make code development based on the develop branch and create pull request to the develop branch. The pull request will be reviewed by Noah-MP model release team and if everything looks good, the new code development will be merged to the official 'develop' branch. Eventually, the updates in develop branch will be merged to the master branch for official Noah-MP model release. @@ -21,13 +21,13 @@ Branch structures of this Noah-MP repository: 1. "master" branch: most stable & recent version (we suggest users to use this branch), updated whenever there are bug fixes or major model update/release, automatically connected to the master branch of the Noah-MP core repository through git submodule; -2. "develop" branch: used for continuous HRLDAS/NoahMP development, keep being updated by including bug fixes and code updates (e.g., new physics options, processes, etc.), automatically connected to the master branch of the Noah-MP core repository through git submodule; +2. "develop" branch: used for continuous HRLDAS/NoahMP development, keep being updated by including bug fixes and code updates (e.g., new physics options, processes, etc.), automatically connected to the develop branch of the Noah-MP core repository through git submodule; 3. "release-v4.3-WRF" branch: stable version consistent with the WRF version 4.3 release; 4. "wrfv4.2" branch: stable version consistent with the WRF version 4.2 release; -*Note: Different from the core Noah-MP repository branch, the HRLDAS branches and codes include the gecros crop section and will always be consistent with WRF. +*Note: The HRLDAS branches and codes will always be consistent with WRF and currently include the gecros crop scheme. Some suggestions for model developers to contribute to Noah-MP code through the Github repository (typical procedures): @@ -45,4 +45,4 @@ Some suggestions for model developers to contribute to Noah-MP code through the 7. Step (7) The Noah-MP release team will merge the updated "develop" branch to the master branch and version-release branch during the annual model release. -Note: If updates are made to both the core NoahMP source code (module_sf_noahmplsm.F & MPTABLE.TBL) and other driver files (e.g., module_sf_noahmpdrv.F), two separate pull requests need to be submitted to the core NoahMP repository (https://github.com/NCAR/noahmp) and this HRLDAS repository, respectively, regarding the changes in the core code file and other driver files. This could be done by using the same titles for the two pull requests to ensure that the submitted code changes are handled together by the release team in the two repositories. +Note: If updates are made to both the core NoahMP source code and other HRLDAS-related files, two separate pull requests need to be submitted to the core NoahMP repository (https://github.com/NCAR/noahmp) and this HRLDAS repository, respectively, regarding the changes in the Noah-MP code file and other HRLDAS files. This could be done by using the same title for the two pull requests to ensure that the submitted code changes are handled together by the release team in the two repositories. From be9cd93c9735492570be005e0a7da30493bc07c4 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Tue, 30 Nov 2021 22:05:35 -0700 Subject: [PATCH 03/45] sync with latest NoahMP repo --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 2e8ab9d..ab71a06 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 2e8ab9d7fd0f38c0cbbc93d5f031c9b8d91ca11b +Subproject commit ab71a063523dbc3ea0de8f81a0e58112ee07cb2a From b4801a0d7522aa1f5ada43e445b6a81fe72035e4 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Mon, 6 Dec 2021 20:46:20 -0700 Subject: [PATCH 04/45] update with NoahMP new driver directory path --- noahmp | 2 +- phys_wrf/module_sf_noahmpdrv.F | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/noahmp b/noahmp index ab71a06..5abb3e7 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit ab71a063523dbc3ea0de8f81a0e58112ee07cb2a +Subproject commit 5abb3e73fdfe699792cddd8e7cbd4d93d304919f diff --git a/phys_wrf/module_sf_noahmpdrv.F b/phys_wrf/module_sf_noahmpdrv.F index 1e140fd..cc4ad30 120000 --- a/phys_wrf/module_sf_noahmpdrv.F +++ b/phys_wrf/module_sf_noahmpdrv.F @@ -1 +1 @@ -../noahmp/drv_WRF/module_sf_noahmpdrv.F \ No newline at end of file +../noahmp/drivers/wrf/module_sf_noahmpdrv.F \ No newline at end of file From c6f229c3bf0db468a6bca2c7ca51ca37b955c148 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Mon, 10 Jan 2022 11:56:38 -0700 Subject: [PATCH 05/45] sync with updated NoahMP repo --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 5abb3e7..5eeddb8 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 5abb3e73fdfe699792cddd8e7cbd4d93d304919f +Subproject commit 5eeddb834c444e076e0a55f02ee35f929860591d From 304419d49bf8dd77a09c0da61991feb506e9cf38 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 13 Jan 2022 21:27:07 -0700 Subject: [PATCH 06/45] update hrldas driver to sync up with NoahMP additonal water budget and soil timestep control update --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 243 ++++++++++++++++++- hrldas/run/README.namelist | 6 + noahmp | 2 +- 3 files changed, 237 insertions(+), 14 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 63bc72c..781acb2 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -84,6 +84,7 @@ module module_NoahMP_hrldas_driver INTEGER :: IOPT_IRRM ! irrigation method (0->dynamic; 1-> sprinkler; 2-> micro; 3-> flood) INTEGER :: IOPT_INFDV!infiltration options for dynamic VIC (1->Philip; 2-> Green-Ampt;3->Smith-Parlange) INTEGER :: IOPT_TDRN ! drainage option (0->off; 1->simple scheme; 2->Hooghoudt's scheme) + REAL :: soiltstep ! soil time step (s) control namelist option (default=0: same as main NoahMP timstep) REAL, ALLOCATABLE, DIMENSION(:,:,:) :: T_PHY ! 3D atmospheric temperature valid at mid-levels [K] REAL, ALLOCATABLE, DIMENSION(:,:,:) :: QV_CURR ! 3D water vapor mixing ratio [kg/kg_dry] REAL, ALLOCATABLE, DIMENSION(:,:,:) :: U_PHY ! 3D U wind component [m/s] @@ -278,6 +279,49 @@ module module_NoahMP_hrldas_driver REAL, ALLOCATABLE, DIMENSION(:,:) :: Z0 ! roughness length output to WRF REAL, ALLOCATABLE, DIMENSION(:,:) :: ZNT ! roughness length output to WRF REAL, ALLOCATABLE, DIMENSION(:,:) :: QTDRAIN ! tile drain discharge (mm) +! additional output variables + REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHXY ! precipitation advected heat + REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHGXY ! precipitation advected heat + REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHBXY ! precipitation advected heat + REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHVXY ! precipitation advected heat + REAL, ALLOCATABLE, DIMENSION(:,:) :: QINTSXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QINTRXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QDRIPSXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QDRIPRXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHROSXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHRORXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNSUBXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNFROXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QSUBCXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QFROCXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QEVACXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QDEWCXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QFRZCXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QMELTCXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNBOTXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: PONDINGXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: FPICEXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCTLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCQLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCPLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCZLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCWLSM + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_SSOILXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_QINSURXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_QSEVAXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: EFLXBXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: SOILENERGY + REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWENERGY + REAL, ALLOCATABLE, DIMENSION(:,:) :: CANHSXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_DWATERXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_PRCPXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_ECANXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_ETRANXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_EDIRXY + REAL, ALLOCATABLE, DIMENSION(:,:,:) :: ACC_ETRANIXY + INTEGER :: ids,ide, jds,jde, kds,kde, & ! d -> domain & ims,ime, jms,jme, kms,kme, & ! m -> memory & its,ite, jts,jte, kts,kte ! t -> tile @@ -308,6 +352,7 @@ module module_NoahMP_hrldas_driver REAL, ALLOCATABLE, DIMENSION(:,:) :: QRFXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QSPRINGXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QSLATXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QLATXY REAL, ALLOCATABLE, DIMENSION(:,:) :: RECHCLIM REAL, ALLOCATABLE, DIMENSION(:,:) :: RIVERMASK REAL, ALLOCATABLE, DIMENSION(:,:) :: NONRIVERXY @@ -624,6 +669,8 @@ module module_NoahMP_hrldas_driver integer :: irrigation_method = 0 integer :: dvic_infiltration_option = 1 integer :: tile_drainage_option = 0 + real :: soil_timestep_option = 0.0 + integer :: noahmp_output = 0 integer :: split_output_count = 1 logical :: skip_first_output = .false. @@ -661,7 +708,8 @@ module module_NoahMP_hrldas_driver pcp_partition_option, tbot_option, temp_time_scheme_option, & glacier_option, surface_resistance_option, & irrigation_option, irrigation_method, dvic_infiltration_option, & - tile_drainage_option,soil_data_option, pedotransfer_option, crop_option, & + tile_drainage_option,soil_timestep_option,noahmp_output,& + soil_data_option, pedotransfer_option, crop_option, & sf_urban_physics,use_wudapt_lcz,num_urban_hi,urban_atmosphere_thickness, & num_urban_ndm,num_urban_ng,num_urban_nwr ,num_urban_ngb , & num_urban_nf ,num_urban_nz,num_urban_nbui, & @@ -743,6 +791,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) IOPT_IRRM = irrigation_method IOPT_INFDV= dvic_infiltration_option IOPT_TDRN = tile_drainage_option + soiltstep = soil_timestep_option !--------------------------------------------------------------------- ! NAMELIST end @@ -1203,6 +1252,48 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ALLOCATE ( ZNT (XSTART:XEND,YSTART:YEND) ) ! roughness length output to WRF ALLOCATE ( QTDRAIN (XSTART:XEND,YSTART:YEND) ) ! tile drainage (mm) ALLOCATE ( TD_FRACTION (XSTART:XEND,YSTART:YEND) )! tile drainage fraction +! additional output variables + ALLOCATE ( PAHXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( PAHGXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( PAHBXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( PAHVXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QINTSXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QINTRXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QDRIPSXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QDRIPRXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QTHROSXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QTHRORXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QSNSUBXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QSNFROXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QSUBCXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QFROCXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QEVACXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QDEWCXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QFRZCXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QMELTCXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QSNBOTXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( PONDINGXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FPICEXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( RAINLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( SNOWLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FORCTLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FORCQLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FORCPLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FORCZLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( FORCWLSM (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_SSOILXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_QINSURXY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_QSEVAXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_ETRANIXY(XSTART:XEND,1:NSOIL,YSTART:YEND) ) + ALLOCATE ( EFLXBXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( SOILENERGY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( SNOWENERGY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( CANHSXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_DWATERXY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_PRCPXY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_ECANXY(XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_ETRANXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( ACC_EDIRXY(XSTART:XEND,YSTART:YEND) ) ALLOCATE ( XLONG (XSTART:XEND,YSTART:YEND) ) ! longitude ALLOCATE ( TERRAIN (XSTART:XEND,YSTART:YEND) ) ! terrain height @@ -1226,6 +1317,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ALLOCATE ( QRFXY (XSTART:XEND,YSTART:YEND) ) ! ALLOCATE ( QSPRINGXY (XSTART:XEND,YSTART:YEND) ) ! ALLOCATE ( QSLATXY (XSTART:XEND,YSTART:YEND) ) ! + ALLOCATE ( QLATXY (XSTART:XEND,YSTART:YEND) ) ! ALLOCATE ( RECHCLIM (XSTART:XEND,YSTART:YEND) ) ! ALLOCATE ( RIVERMASK (XSTART:XEND,YSTART:YEND) ) ! ALLOCATE ( NONRIVERXY (XSTART:XEND,YSTART:YEND) ) ! @@ -1541,6 +1633,49 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) CHV2XY = undefined_real CHB2XY = undefined_real RS = undefined_real +! additional output + PAHXY = undefined_real + PAHGXY = undefined_real + PAHBXY = undefined_real + PAHVXY = undefined_real + QINTSXY = undefined_real + QINTRXY = undefined_real + QDRIPSXY = undefined_real + QDRIPRXY = undefined_real + QTHROSXY = undefined_real + QTHRORXY = undefined_real + QSNSUBXY = undefined_real + QSNFROXY = undefined_real + QSUBCXY = undefined_real + QFROCXY = undefined_real + QEVACXY = undefined_real + QDEWCXY = undefined_real + QFRZCXY = undefined_real + QMELTCXY = undefined_real + QSNBOTXY = undefined_real + PONDINGXY = 0.0 + FPICEXY = undefined_real + RAINLSM = undefined_real + SNOWLSM = undefined_real + FORCTLSM = undefined_real + FORCQLSM = undefined_real + FORCPLSM = undefined_real + FORCZLSM = undefined_real + FORCWLSM = undefined_real + ACC_SSOILXY = 0.0 + ACC_QINSURXY = 0.0 + ACC_QSEVAXY = 0.0 + ACC_ETRANIXY = 0.0 + EFLXBXY = undefined_real + SOILENERGY = 0.0 + SNOWENERGY = 0.0 + CANHSXY = undefined_real + ACC_DWATERXY = 0.0 + ACC_PRCPXY = 0.0 + ACC_ECANXY = 0.0 + ACC_ETRANXY = 0.0 + ACC_EDIRXY = 0.0 + TERRAIN = undefined_real GVFMIN = undefined_real GVFMAX = undefined_real @@ -1557,6 +1692,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) QRFXY = undefined_real QSPRINGXY = undefined_real QSLATXY = undefined_real + QLATXY = undefined_real CHSTARXY = undefined_real Z0 = undefined_real ZNT = undefined_real @@ -1857,6 +1993,17 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",SFCRUNOFF) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,UDRUNOFF ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,QTDRAIN ) +! additional inout variable + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , ACC_SSOILXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", ACC_QINSURXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , ACC_QSEVAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", ACC_ETRANIXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", ACC_DWATERXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , ACC_PRCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , ACC_ECANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , ACC_ETRANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , ACC_EDIRXY ) + ! below for irrigation scheme IF (irrigation_option > 0) THEN call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , IRNUMSI ) @@ -2172,8 +2319,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) num_soil_layers, dzs, isltyp, ivgtyp, wtddt , & fdepthxy , terrain , riverbedxy, eqzwt , & rivercondxy, pexpxy , areaxy , zwtxy , & - smois , sh2o , smoiseq , smcwtdxy , deeprechxy, & - rechxy , qslatxy , qrfsxy , qspringsxy, & + smois , sh2o , smoiseq , smcwtdxy , & + QLATXY , qslatxy , QRFXY , qrfsxy , & + deeprechxy , rechxy , QSPRINGXY , qspringsxy, & rechclim , & ids,ide, jds,jde, kds,kde, & ims,ime, jms,jme, kms,kme, & @@ -2247,7 +2395,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) print*, dz_urban(1,:,1) ENDIF - endif + endif ! restart flag NTIME=(KHOUR)*3600./nint(dtbl)*(spinup_loops+1) spinup_loop = 0 @@ -2481,7 +2629,7 @@ subroutine land_driver_exe(itime) IDVEG, IOPT_CRS, IOPT_BTR, IOPT_RUN, IOPT_SFC, IOPT_FRZ, & IOPT_INF, IOPT_RAD, IOPT_ALB, IOPT_SNF, IOPT_TBOT, IOPT_STC, & IOPT_GLA, IOPT_RSF,IOPT_SOIL,IOPT_PEDO,IOPT_CROP, IOPT_IRR, & - IOPT_IRRM,IOPT_INFDV,IOPT_TDRN,IZ0TLND, sf_urban_physics, & + IOPT_IRRM,IOPT_INFDV,IOPT_TDRN,soiltstep,IZ0TLND, sf_urban_physics, & SOILCOMP, SOILCL1, SOILCL2, SOILCL3, SOILCL4, & T_PHY, QV_CURR, U_PHY, V_PHY, SWDOWN, SWDDIR, & SWDDIF, GLW, & @@ -2509,7 +2657,16 @@ subroutine land_driver_exe(itime) BGAPXY, WGAPXY, TGVXY, TGBXY, CHVXY, CHBXY, & SHGXY, SHCXY, SHBXY, EVGXY, EVBXY, GHVXY, & GHBXY, IRGXY, IRCXY, IRBXY, TRXY, EVCXY, & - CHLEAFXY, CHUCXY, CHV2XY, CHB2XY, RS, & + CHLEAFXY, CHUCXY, CHV2XY, CHB2XY, RS, & + QINTSXY ,QINTRXY ,QDRIPSXY ,& + QDRIPRXY ,QTHROSXY ,QTHRORXY ,& + QSNSUBXY ,QSNFROXY ,QSUBCXY ,& + QFROCXY ,QEVACXY ,QDEWCXY ,QFRZCXY ,QMELTCXY ,& + QSNBOTXY ,PONDINGXY ,PAHXY ,PAHGXY, PAHVXY, PAHBXY,& + FPICEXY,RAINLSM,SNOWLSM,FORCTLSM ,FORCQLSM,FORCPLSM,FORCZLSM,FORCWLSM,& + ACC_SSOILXY, ACC_QINSURXY, ACC_QSEVAXY, ACC_ETRANIXY, EFLXBXY, & + SOILENERGY, SNOWENERGY, CANHSXY, & + ACC_DWATERXY, ACC_PRCPXY, ACC_ECANXY, ACC_ETRANXY, ACC_EDIRXY, & ! BEXP_3D,SMCDRY_3D,SMCWLT_3D,SMCREF_3D,SMCMAX_3D, & ! DKSAT_3D,DWSAT_3D,PSISAT_3D,QUARTZ_3D, & ! REFDK_2D,REFKDT_2D, & @@ -2604,7 +2761,7 @@ subroutine land_driver_exe(itime) FDEPTHXY, AREAXY, TERRAIN, ISURBAN, IVGTYP, & RIVERCONDXY, RIVERBEDXY, EQZWT, PEXPXY, & SMOIS, SH2O, SMCWTDXY, ZWTXY, & - QRFXY, DEEPRECHXY, QSPRINGXY, & + QLATXY, QRFXY, DEEPRECHXY, QSPRINGXY, & QSLATXY, QRFSXY, QSPRINGSXY, RECHXY, & IDS,IDE, JDS,JDE, KDS,KDE, & IMS,IME, JMS,JME, KMS,KME, & @@ -2777,6 +2934,53 @@ subroutine land_driver_exe(itime) call add_to_output(NPPXY , "NPP" , "Net primary productivity" , "g m{-2} s{-1} C" ) call add_to_output(PSNXY , "PSN" , "Total photosynthesis" , "umol CO@ m{-2} s{-1}") call add_to_output(APARXY , "APAR" , "Photosynthesis active energy by canopy" , "W m{-2}" ) + ! additional NoahMP output + if (noahmp_output > 0) then + ! additional water budget terms + call add_to_output(QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm s{-1}" ) + call add_to_output(QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm s{-1}" ) + call add_to_output(QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm s{-1}" ) + call add_to_output(QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm s{-1}" ) + call add_to_output(QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm s{-1}" ) + call add_to_output(QTHRORXY , "QTHROR" , "throughfall for rain" , "mm s{-1}" ) + call add_to_output(QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm s{-1}" ) + call add_to_output(QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm s{-1}" ) + call add_to_output(QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm s{-1}" ) + call add_to_output(QFROCXY , "QFROC" , "canopy snow frost rate" , "mm s{-1}" ) + call add_to_output(QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm s{-1}" ) + call add_to_output(QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm s{-1}" ) + call add_to_output(QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm s{-1}" ) + call add_to_output(QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm s{-1}" ) + call add_to_output(QSNBOTXY , "QSNBOT" , "melting water out of snow bottom" , "mm s{-1}" ) + call add_to_output(PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm s{-1}" ) + call add_to_output(FPICEXY , "FPICE" , "snow fraction in precipitation" , "" ) + call add_to_output(ACC_QINSURXY,"ACC_QINSUR","accumuated water flux to soil within soil timestep","mm s{-1}" ) + call add_to_output(ACC_QSEVAXY, "ACC_QSEVA" ,"accumulated soil surface evap rate within soil timestep","mm s{-1}") + call add_to_output(ACC_ETRANIXY,"ACC_ETRANI","accumualted transpiration rate within soil timestep", "mm s{-1}", "SOIL") + call add_to_output(ACC_DWATERXY,"ACC_DWATER","accumulated snow,soil,canopy water change within soil timestep", "mm") + call add_to_output(ACC_PRCPXY , "ACC_PRCP", "accumulated precipitation within soil timestep", "mm") + call add_to_output(ACC_ECANXY , "ACC_ECAN", "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output(ACC_ETRANXY, "ACC_ETRAN","accumulated transpiration within soil timestep", "mm") + call add_to_output(ACC_EDIRXY , "ACC_EDIR", "accumulated net soil/snow evaporation within soil timestep", "mm") + ! additional energy terms + call add_to_output(PAHXY , "PAH" , "Precipitation advected heat flux" , "W m{-2}" ) + call add_to_output(PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground", "W m{-2}" ) + call add_to_output(PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W m{-2}" ) + call add_to_output(PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W m{-2}" ) + call add_to_output(ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow and soil layers within soil timestep","W m{-2}" ) + call add_to_output(EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J m{-2}" ) + call add_to_output(SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ m{-2}") + call add_to_output(SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ m{-2}") + call add_to_output(CANHSXY , "CANHS" , "canopy heat storage change" , "W m{-2}" ) + ! additional forcing terms + call add_to_output(RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm s{-1}") + call add_to_output(SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm s{-1}") + call add_to_output(FORCTLSM , "FORCTLSM", "lowest model T into LSM" , "K" ) + call add_to_output(FORCQLSM , "FORCQLSM", "lowest model Q into LSM" , "kg kg{-1}") + call add_to_output(FORCPLSM , "FORCPLSM", "lowest model P into LSM" , "Pa" ) + call add_to_output(FORCZLSM , "FORCZLSM", "lowest model Z into LSM" , "m" ) + call add_to_output(FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m s{-1}" ) + endif ! Irrigation IF (irrigation_option > 0) THEN call add_to_output(IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) @@ -2788,13 +2992,17 @@ subroutine land_driver_exe(itime) call add_to_output(IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) call add_to_output(IRRSPLH , "IRRSPLH" , "Latent heating due to sprinkler" , "W m{-2}" ) ENDIF - ! Carbon allocation model + ! MMF groundwater model IF(RUNOFF_OPTION == 5) THEN - call add_to_output(SMCWTDXY , "SMCWTD" , "Leaf mass" , "g m{-2}" ) - call add_to_output(RECHXY , "RECH" , "Mass of fine roots" , "g m{-2}" ) - call add_to_output(QRFSXY , "QRFS" , "Stem mass" , "g m{-2}" ) - call add_to_output(QSPRINGSXY , "QSPRINGS" , "Mass of wood and woody roots" , "g m{-2}" ) - call add_to_output(QSLATXY , "QSLAT" , "Stable carbon in deep soil" , "g m{-2}" ) + call add_to_output(SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3 m{-3}") + call add_to_output(RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output(DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output(QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output(QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output(QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output(QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output(QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output(QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) ENDIF ! For now, no urban output variables included @@ -2916,6 +3124,15 @@ subroutine lsm_restart() call add_to_restart(SFCRUNOFF , "SFCRUNOFF") call add_to_restart(UDRUNOFF , "UDRUNOFF" ) call add_to_restart(QTDRAIN , "QTDRAIN" ) + call add_to_restart(ACC_SSOILXY ,"ACC_SSOIL" ) + call add_to_restart(ACC_QINSURXY,"ACC_QINSUR") + call add_to_restart(ACC_QSEVAXY ,"ACC_QSEVA" ) + call add_to_restart(ACC_ETRANIXY,"ACC_ETRANI", layers="SOIL") + call add_to_restart(ACC_DWATERXY,"ACC_DWATER") + call add_to_restart(ACC_PRCPXY ,"ACC_PRCP" ) + call add_to_restart(ACC_ECANXY ,"ACC_ECAN" ) + call add_to_restart(ACC_ETRANXY ,"ACC_ETRAN" ) + call add_to_restart(ACC_EDIRXY ,"ACC_EDIR" ) ! irrigation scheme IF (irrigation_option > 0) THEN call add_to_restart(IRNUMSI , "IRNUMSI") diff --git a/hrldas/run/README.namelist b/hrldas/run/README.namelist index 63dd8c0..b22fc54 100644 --- a/hrldas/run/README.namelist +++ b/hrldas/run/README.namelist @@ -238,4 +238,10 @@ 1 -> Simple drainage 2 -> Hooghoudt's equation based tile drainage + SOIL_TIMESTEP_OPTION = 0.0, ! Noah-MP soil process timestep (seconds) for solving soil water and temperature + 0 -> default, the same as main NoahMP model timestep + N * dt_noahmp -> longer than main NoahMP model timestep (often used for WRF coupled run) + NOAHMP_OUTPUT = 0, ! NoahMP output level + 0 -> standard output + 1 -> standard output with additional water and energy budget term output / diff --git a/noahmp b/noahmp index 5eeddb8..aed82e1 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 5eeddb834c444e076e0a55f02ee35f929860591d +Subproject commit aed82e17e95b510beff8dc06438f7f331c660cab From e6d328fc7cba7e7e30cd61526b48fb4ae54fb5d2 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Sun, 20 Mar 2022 22:31:17 -0600 Subject: [PATCH 07/45] sync with updated NoahMP master branch --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index aed82e1..35b30b9 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit aed82e17e95b510beff8dc06438f7f331c660cab +Subproject commit 35b30b968cd96cf2d82353eab2afea66aeec8a52 From 53268c92bf558d22ac8c083684010013285b1048 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Wed, 23 Mar 2022 14:25:50 -0600 Subject: [PATCH 08/45] bring local QMELT to output --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 8 ++++++-- noahmp | 2 +- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 781acb2..0415727 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -291,6 +291,7 @@ module module_NoahMP_hrldas_driver REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHROSXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHRORXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNSUBXY + REAL, ALLOCATABLE, DIMENSION(:,:) :: QMELTXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNFROXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QSUBCXY REAL, ALLOCATABLE, DIMENSION(:,:) :: QFROCXY @@ -1272,6 +1273,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ALLOCATE ( QFRZCXY (XSTART:XEND,YSTART:YEND) ) ALLOCATE ( QMELTCXY (XSTART:XEND,YSTART:YEND) ) ALLOCATE ( QSNBOTXY (XSTART:XEND,YSTART:YEND) ) + ALLOCATE ( QMELTXY (XSTART:XEND,YSTART:YEND) ) ALLOCATE ( PONDINGXY (XSTART:XEND,YSTART:YEND) ) ALLOCATE ( FPICEXY (XSTART:XEND,YSTART:YEND) ) ALLOCATE ( RAINLSM (XSTART:XEND,YSTART:YEND) ) @@ -1653,6 +1655,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) QFRZCXY = undefined_real QMELTCXY = undefined_real QSNBOTXY = undefined_real + QMELTXY = undefined_real PONDINGXY = 0.0 FPICEXY = undefined_real RAINLSM = undefined_real @@ -2662,7 +2665,7 @@ subroutine land_driver_exe(itime) QDRIPRXY ,QTHROSXY ,QTHRORXY ,& QSNSUBXY ,QSNFROXY ,QSUBCXY ,& QFROCXY ,QEVACXY ,QDEWCXY ,QFRZCXY ,QMELTCXY ,& - QSNBOTXY ,PONDINGXY ,PAHXY ,PAHGXY, PAHVXY, PAHBXY,& + QSNBOTXY ,QMELTXY ,PONDINGXY ,PAHXY ,PAHGXY, PAHVXY, PAHBXY,& FPICEXY,RAINLSM,SNOWLSM,FORCTLSM ,FORCQLSM,FORCPLSM,FORCZLSM,FORCWLSM,& ACC_SSOILXY, ACC_QINSURXY, ACC_QSEVAXY, ACC_ETRANIXY, EFLXBXY, & SOILENERGY, SNOWENERGY, CANHSXY, & @@ -2951,7 +2954,8 @@ subroutine land_driver_exe(itime) call add_to_output(QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm s{-1}" ) call add_to_output(QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm s{-1}" ) call add_to_output(QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm s{-1}" ) - call add_to_output(QSNBOTXY , "QSNBOT" , "melting water out of snow bottom" , "mm s{-1}" ) + call add_to_output(QSNBOTXY , "QSNBOT" , "total liquid water (melt+rain through) out of snow bottom", "mm s{-1}" ) + call add_to_output(QMELTXY , "QMELT" , "snow melt due to phase change" , "mm s{-1}" ) call add_to_output(PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm s{-1}" ) call add_to_output(FPICEXY , "FPICE" , "snow fraction in precipitation" , "" ) call add_to_output(ACC_QINSURXY,"ACC_QINSUR","accumuated water flux to soil within soil timestep","mm s{-1}" ) diff --git a/noahmp b/noahmp index 35b30b9..8b860ef 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 35b30b968cd96cf2d82353eab2afea66aeec8a52 +Subproject commit 8b860ef805a6e4c0c1069639e5f5d88dbae39295 From c28c0c141fe58681aecf6768f2cf517a79a5dabd Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 31 Mar 2022 15:19:53 -0600 Subject: [PATCH 09/45] sync with NoahMP for glacier cosz<0 bug fix --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 8b860ef..b0ec68c 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 8b860ef805a6e4c0c1069639e5f5d88dbae39295 +Subproject commit b0ec68cb23c8782f3816472265199c13424a669b From 6c438382d885e3a11e63667f206b2e816fb05d77 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Tue, 5 Apr 2022 16:40:08 -0600 Subject: [PATCH 10/45] bug fix for rainrate output variable and sync with NoahMP --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 9 +++++---- noahmp | 2 +- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 0415727..aacc720 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -92,7 +92,8 @@ module module_NoahMP_hrldas_driver REAL, ALLOCATABLE, DIMENSION(:,:) :: SWDOWN ! solar down at surface [W m-2] REAL, ALLOCATABLE, DIMENSION(:,:) :: GLW ! longwave down at surface [W m-2] REAL, ALLOCATABLE, DIMENSION(:,:,:) :: P8W ! 3D pressure, valid at interface [Pa] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINBL, RAINBL_tmp ! precipitation entering land model [mm] + REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINBL ! precipitation entering land model [mm] per time step + REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINBL_tmp! precipitation forcingentering land model [mm/s] REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWBL ! snow entering land model [mm] REAL, ALLOCATABLE, DIMENSION(:,:) :: SR ! frozen precip ratio entering land model [-] REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINCV ! convective precip forcing [mm] @@ -1067,8 +1068,8 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ALLOCATE ( SWDDIF (XSTART:XEND,YSTART:YEND) ) ! solar down at surface [W m-2] for new urban solar panel ALLOCATE ( GLW (XSTART:XEND,YSTART:YEND) ) ! longwave down at surface [W m-2] ALLOCATE ( P8W (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D pressure, valid at interface [Pa] - ALLOCATE ( RAINBL (XSTART:XEND,YSTART:YEND) ) ! total precipitation entering land model [mm] - ALLOCATE ( SNOWBL (XSTART:XEND,YSTART:YEND) ) ! snow entering land model [mm] + ALLOCATE ( RAINBL (XSTART:XEND,YSTART:YEND) ) ! total precipitation entering land model [mm] per time step + ALLOCATE ( SNOWBL (XSTART:XEND,YSTART:YEND) ) ! snow entering land model [mm] per time step ALLOCATE ( RAINBL_tmp (XSTART:XEND,YSTART:YEND) ) ! precipitation entering land model [mm] ALLOCATE ( SR (XSTART:XEND,YSTART:YEND) ) ! frozen precip ratio entering land model [-] ALLOCATE ( RAINCV (XSTART:XEND,YSTART:YEND) ) ! convective precip forcing [mm] @@ -2845,7 +2846,7 @@ subroutine land_driver_exe(itime) call add_to_output(SWDOWN , "SWFORC" , "Shortwave forcing" , "W m{-2}" ) call add_to_output(COSZEN , "COSZ" , "Cosine of zenith angle" , "W m{-2}" ) call add_to_output(GLW , "LWFORC" , "Longwave forcing" , "W m{-2}" ) - call add_to_output(RAINBL , "RAINRATE", "Precipitation rate" , "kg m{-2} s{-1}" ) + call add_to_output(RAINBL_tmp , "RAINRATE", "Precipitation rate" , "mm s{-1}" ) ! Grid energy budget terms call add_to_output(EMISS , "EMISS" , "Grid emissivity" , "" ) call add_to_output(FSAXY , "FSA" , "Total absorbed SW radiation" , "W m{-2}" ) diff --git a/noahmp b/noahmp index b0ec68c..a85b864 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit b0ec68cb23c8782f3816472265199c13424a669b +Subproject commit a85b864b7c255a484c468c58f1c812f735adfc99 From 3c52a9b51e123d0b5f4a46e38ee8d81c39d53f7f Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 8 Sep 2022 12:54:50 -0600 Subject: [PATCH 11/45] sync with noahmp update for bug fix --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index a85b864..2fe8bf9 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit a85b864b7c255a484c468c58f1c812f735adfc99 +Subproject commit 2fe8bf9d08289a9a9b035f74274482d5490d44a8 From 84821f1e7cc7a0be26743a92a905af7693820d5d Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 8 Sep 2022 13:00:10 -0600 Subject: [PATCH 12/45] bug fix for output vars unit with develop#8250597 --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index aacc720..f445222 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -2959,9 +2959,9 @@ subroutine land_driver_exe(itime) call add_to_output(QMELTXY , "QMELT" , "snow melt due to phase change" , "mm s{-1}" ) call add_to_output(PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm s{-1}" ) call add_to_output(FPICEXY , "FPICE" , "snow fraction in precipitation" , "" ) - call add_to_output(ACC_QINSURXY,"ACC_QINSUR","accumuated water flux to soil within soil timestep","mm s{-1}" ) - call add_to_output(ACC_QSEVAXY, "ACC_QSEVA" ,"accumulated soil surface evap rate within soil timestep","mm s{-1}") - call add_to_output(ACC_ETRANIXY,"ACC_ETRANI","accumualted transpiration rate within soil timestep", "mm s{-1}", "SOIL") + call add_to_output(ACC_QINSURXY,"ACC_QINSUR","accumuated water flux to soil within soil timestep","m/s*dt_soil/dt_main" ) + call add_to_output(ACC_QSEVAXY, "ACC_QSEVA" ,"accumulated soil surface evap rate within soil timestep","m/s*dt_soil/dt_main") + call add_to_output(ACC_ETRANIXY,"ACC_ETRANI","accumualted transpiration rate within soil timestep", "m/s*dt_soil/dt_main", "SOIL") call add_to_output(ACC_DWATERXY,"ACC_DWATER","accumulated snow,soil,canopy water change within soil timestep", "mm") call add_to_output(ACC_PRCPXY , "ACC_PRCP", "accumulated precipitation within soil timestep", "mm") call add_to_output(ACC_ECANXY , "ACC_ECAN", "accumulated net canopy evaporation within soil timestep", "mm") From b26960407b8980ce6cef562c538b675b0dce42d2 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Tue, 13 Sep 2022 12:56:24 -0600 Subject: [PATCH 13/45] bug fix for gfortran compatibility issue --- .../HRLDAS_forcing/lib/module_grib_common.F | 4 +-- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 9 +++--- .../arch/user_build_options.gfortran.serial | 30 +++++++++---------- hrldas/arch/user_build_options.pgf90.mpi | 7 +++-- 4 files changed, 26 insertions(+), 24 deletions(-) diff --git a/hrldas/HRLDAS_forcing/lib/module_grib_common.F b/hrldas/HRLDAS_forcing/lib/module_grib_common.F index 1ba9092..d1e954a 100644 --- a/hrldas/HRLDAS_forcing/lib/module_grib_common.F +++ b/hrldas/HRLDAS_forcing/lib/module_grib_common.F @@ -2,8 +2,8 @@ module module_grib_common use module_mapinfo ! Low-level stuff used by both module_grib1 and module_grib2 implicit none - integer, parameter :: string_sevens = Z"37373737" ! Encodes "7777", which marks the end of a GRIB record. - integer, parameter :: string_grib = Z"47524942" ! Encodes "GRIB", which marks the beginning of a GRIB record + integer, parameter :: string_sevens = int(Z"37373737") ! Encodes "7777", which marks the end of a GRIB record. + integer, parameter :: string_grib = int(Z"47524942") ! Encodes "GRIB", which marks the beginning of a GRIB record type G1Section1Struct integer :: isize diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index f445222..0244145 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -2755,7 +2755,8 @@ subroutine land_driver_exe(itime) ENDIF - IF(RUNOFF_OPTION.EQ.5.AND.MOD(ITIME,STEPWTD).EQ.0)THEN + IF (RUNOFF_OPTION == 5) THEN + IF (MOD(ITIME,STEPWTD) ==0) THEN CALL wrf_message('calling WTABLE' ) !gmm update wtable from lateral flow and shed water to rivers @@ -2811,7 +2812,7 @@ subroutine land_driver_exe(itime) ! ENDDO !urban ! ENDDO !urban ! ENDIF - + ENDIF ENDIF !------------------------------------------------------------------------ @@ -3326,8 +3327,8 @@ SUBROUTINE CALC_DECLIN ( NOWDATE, LATITUDE, LONGITUDE, COSZ, JULIAN, & !-----CALCULATE LONGITUDE OF THE SUN FROM VERNAL EQUINOX: - IF(JULIAN.GE.80.)SXLONG=DPD*(JULIAN-80.)*DEGRAD - IF(JULIAN.LT.80.)SXLONG=DPD*(JULIAN+285.)*DEGRAD + IF(JULIAN .GE. 80.) SXLONG=DPD*(JULIAN-80.)*DEGRAD + IF(JULIAN .LT. 80.) SXLONG=DPD*(JULIAN+285.)*DEGRAD ARG=SINOB*SIN(SXLONG) DECLIN=ASIN(ARG) diff --git a/hrldas/arch/user_build_options.gfortran.serial b/hrldas/arch/user_build_options.gfortran.serial index d3a69d4..5fee3af 100644 --- a/hrldas/arch/user_build_options.gfortran.serial +++ b/hrldas/arch/user_build_options.gfortran.serial @@ -1,23 +1,23 @@ #============================================================================================= -# Options for Linux with gfortran (not fully tested) +# Options for Linux with gnu gfortran MPI +# Please change the library paths according to your computer setup #============================================================================================= - COMPILERF90 = /opt/local/bin/gfortran-mp-4.8 + COMPILERF90 = gfortran FREESOURCE = -ffree-form -ffree-line-length-none - F90FLAGS = -g -fconvert=big-endian -fbounds-check -fno-range-check + F90FLAGS = -g -fconvert=big-endian -fbounds-check -fno-range-check -fallow-argument-mismatch MODFLAG = -I - LDFLAGS = - CPP = /opt/local/bin/cpp-mp-4.8 - CPPFLAGS = -P -traditional -D_GFORTRAN_ - LIBS = - LIBJASPER = -ljpeg -L/opt/local/lib -ljasper - INCJASPER = -I/opt/local/include/jasper - NETCDFMOD = -I/opt/local/include - NETCDFLIB = -L/opt/local/lib -lnetcdf -lnetcdff + LDFLAGS = + CPP = cpp + CPPFLAGS = -P -traditional -D_GFORTRAN_ # -DSPATIAL_SOIL + LIBS = + LIBJASPER = -ljasper + INCJASPER = -I/usr/include/jasper + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.8.1/gnu/10.1.0/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.8.1/gnu/10.1.0/lib -lnetcdf -lnetcdff BZIP2 = NO - BZIP2_LIB = -lbz2 - BZIP2_INCLUDE = -I/opt/local/include + BZIP2_INCLUDE = -I/usr/include + BZIP2_LIB = -L/usr/lib64 -lbz2 RM = rm -f - CC = /opt/local/bin/gcc-mp-4.8 - + CC = cc diff --git a/hrldas/arch/user_build_options.pgf90.mpi b/hrldas/arch/user_build_options.pgf90.mpi index 503cad7..6a2a3b4 100644 --- a/hrldas/arch/user_build_options.pgf90.mpi +++ b/hrldas/arch/user_build_options.pgf90.mpi @@ -1,6 +1,7 @@ #============================================================================================= # Options for Linux with pgf90 MPI +# Please change the library paths according to your computer setup #============================================================================================= COMPILERF90 = mpif90 @@ -15,10 +16,10 @@ LIBS = LIBJASPER = -ljpeg -L/usr/lib -ljasper INCJASPER = -I/usr/include - NETCDFMOD = -I/usr/local/netcdf4-pgi/include - NETCDFLIB = -L/usr/local/netcdf4-pgi/lib -lnetcdf -lnetcdff + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.7.3/pgi/19.3/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.7.3/pgi/19.3/lib -lnetcdf -lnetcdff BZIP2 = NO - BZIP2_LIB = -lbz2 + BZIP2_LIB = -L/usr/lib64 -lbz2 BZIP2_INCLUDE = -I/usr/include RM = rm -f CC = cc From f3acee5f8f79a20d15f1b5f73768257558715f38 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Mon, 3 Oct 2022 09:41:52 -0600 Subject: [PATCH 14/45] sync with noahmp for bug fix of LCZ and INFIL max --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 2fe8bf9..5bc08ad 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 2fe8bf9d08289a9a9b035f74274482d5490d44a8 +Subproject commit 5bc08ad05a079a193915df42ae0ae39e121e910f From 9071a2c3f69e1d701bd29d278cf2b28526488650 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Wed, 5 Oct 2022 12:02:36 -0600 Subject: [PATCH 15/45] Sync with develop branch for Pre-processing ERA5-Land data in create_forcing program --- hrldas/HRLDAS_forcing/create_forcing.F | 440 +++++++++++++++++- hrldas/HRLDAS_forcing/lib/module_grib1.F | 10 +- hrldas/HRLDAS_forcing/run/README.namelist | 7 + .../run/examples/ERA5/calculate_Q_era5.py | 89 ++++ .../run/examples/ERA5/deaccumulate_era5.py | 81 ++++ .../run/examples/ERA5/extract_era5.py | 72 +++ .../run/examples/ERA5/extract_era5_init.py | 33 ++ .../run/examples/ERA5/namelist.input.ERA5 | 79 ++++ .../run/examples/GLDAS/namelist.input.GLDAS | 1 + .../run/examples/NARR/namelist.input.NARR | 1 + .../run/examples/NLDAS/namelist.input.NLDAS | 1 + hrldas/docs/README.ERA5 | 244 ++++++++++ 12 files changed, 1040 insertions(+), 18 deletions(-) create mode 100644 hrldas/HRLDAS_forcing/run/examples/ERA5/calculate_Q_era5.py create mode 100644 hrldas/HRLDAS_forcing/run/examples/ERA5/deaccumulate_era5.py create mode 100644 hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5.py create mode 100644 hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5_init.py create mode 100644 hrldas/HRLDAS_forcing/run/examples/ERA5/namelist.input.ERA5 create mode 100644 hrldas/docs/README.ERA5 diff --git a/hrldas/HRLDAS_forcing/create_forcing.F b/hrldas/HRLDAS_forcing/create_forcing.F index db7281d..f807912 100644 --- a/hrldas/HRLDAS_forcing/create_forcing.F +++ b/hrldas/HRLDAS_forcing/create_forcing.F @@ -1,9 +1,17 @@ +module variables + type string + character(len=:), allocatable :: str + end type string +end module variables + program create_forcing + use netcdf use module_grib use module_geo_em use kwm_grid_utilities use kwm_date_utilities use kwm_string_utilities + use variables implicit none character(len=9), parameter :: version = "v20150518" @@ -97,6 +105,7 @@ program create_forcing character(len=256) :: OutputDir character(len=256) :: geo_em_flnm character(len=256) :: initial_flnm + character(len=256) :: forcing_type integer :: rainfall_interp ! 0=Nearest Neighbor; 1=more expensive, grid fill method integer :: full_ic_frq ! How frequently (hours) to make full surface initial conditions. ! FULL_IC_FRC==0 means do this only at the startdate. @@ -133,7 +142,7 @@ program create_forcing namelist /files/ startdate, enddate, DataDir, OutputDir, & - geo_em_flnm, & + geo_em_flnm, forcing_type, & rainfall_interp, full_ic_frq, rescale_shortwave, & update_snow, forcing_height_2d, & truncate_sw, expand_loop, & @@ -204,6 +213,7 @@ program create_forcing endif read(12,files) close(12) + write(*,*) "Forcing type: ",forcing_type !-------------------------------------------------------------------------- ! Read Vtable @@ -343,7 +353,6 @@ program create_forcing ! Not certain why the following is necessary since we are simulating over the WRF points ! so they should have been filled properly already, commenting (Barlage 20140529) ! call fillsm(vegfra%field, (geo_em%use /= geo_em%iswater), geo_em%idim, geo_em%jdim) - call process(date, Tcurrent, Tprev, Tpost, geo_em, expand_loop) call process(date, Qcurrent, Qprev, Qpost, geo_em, expand_loop) call process(date, Pcurrent, Pprev, Ppost, geo_em, expand_loop) @@ -469,7 +478,7 @@ program create_forcing call process(date, WEASDcurrent, WEASDprev, WEASDpost, geo_em, expand_loop); where (WEASDcurrent%field < 0) WEASDcurrent%field = 0 call output_databuffer(ncid, WEASDcurrent) - + call process(date, CANWTcurrent, CANWTprev, CANWTpost, geo_em, expand_loop); where (CANWTcurrent%field < 0) CANWTcurrent%field = 0 call output_databuffer(ncid, CANWTcurrent) @@ -498,7 +507,7 @@ program create_forcing call output_to_netcdf_vector(ncid, "ZS", "m", 4, zs) unmatched = count(STcurrent(1)%field < -1.e30 .and. geo_em%use /= geo_em%iswater) - if(unmatched > 0) then + if(unmatched > 1) then print *, "You have this many undefined soil points over valid land points: ", unmatched print *, "This tends to happen around coastlines or for unresolved islands in your forcing data" print *, "===== Consider increasing expand_loop in namelist =====" @@ -916,7 +925,12 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) return endif - call grib_file_search_now(current, datastruct, ierr) + if (forcing_type=="ERA5" .or. forcing_type=="NARR" .or. forcing_type=="NLDAS") then + call grib_file_search_now(current, datastruct, ierr) + elseif(forcing_type=="GLDAS") then + call netcdf_file_search_now(current, datastruct, ierr) + endif + if (ierr == 0) then @@ -931,7 +945,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) if (current%label == "T2D") then ! Get the source model terrain data file. Zcurrent%hdate = current%hdate - call grib_file_search_now(Zcurrent, Zdatastruct, ierr) + if (forcing_type=="NARR" .or. forcing_type=="NLDAS") then + call grib_file_search_now(Zcurrent, Zdatastruct, ierr) + elseif(forcing_type=="ERA5" .or. forcing_type=="GLDAS") then + call netcdf_file_search_now(Zcurrent, Zdatastruct, ierr) + endif if (ierr /= 0) then stop "Source model terrain data not found" endif @@ -940,7 +958,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) stop "1) Source model terrain dimensions do not match source model temperature dimensions" endif where(Zdatastruct%data < 0.0) Zdatastruct%data = 0.0 ! Barlage 20140529 - datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) + if (forcing_type=="ERA5") then ! ERA5 only provides geopotential, will need to convert to height by dividing g0 (9.806) + datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data/9.806 ) + else + datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) + endif deallocate(Zdatastruct%data) nullify(Zdatastruct%data) endif @@ -951,7 +973,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) if ( (current%label(1:6) == "STEMP_") .or. (current%label(1:6) == "SMOIS_") ) then ! Get the source model Land/Sea mask data. LANDSEA%hdate = current%hdate - call grib_file_search_now(LANDSEA, LANDSEAdatastruct, ierr) + if (forcing_type=="NARR" .or. forcing_type=="NLDAS") then + call grib_file_search_now(LANDSEA, LANDSEAdatastruct, ierr) + elseif(forcing_type=="ERA5" .or. forcing_type=="GLDAS") then + call netcdf_file_search_now(LANDSEA, LANDSEAdatastruct, ierr) + endif if (ierr /= 0) then print*, "Source model land/sea data not found; assuming a bitmap exists" LANDSEAdatastruct%data = -1 ! Initialize LS mask to -1, if not available we assume bitmap Barlage @@ -1083,7 +1109,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) ! No post buffer, so we must read some new data into a post buffer - call grib_file_search_future(current, post, datastruct, ierr) + if (forcing_type=="ERA5" .or. forcing_type=="NARR" .or. forcing_type=="NLDAS") then + call grib_file_search_future(current, post, datastruct, ierr) + elseif(forcing_type=="GLDAS") then + call netcdf_file_search_future(current, post, datastruct, ierr) + endif if (ierr /= 0) then @@ -1109,7 +1139,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) if (current%label == "T2D") then ! Get the source model terrain data file. Zcurrent%hdate = post%hdate - call grib_file_search_now(Zcurrent, Zdatastruct, ierr) + if (forcing_type=="NARR" .or. forcing_type=="NLDAS") then + call grib_file_search_now(Zcurrent, Zdatastruct, ierr) + elseif(forcing_type=="ERA5" .or. forcing_type=="GLDAS") then + call netcdf_file_search_now(Zcurrent, Zdatastruct, ierr) + endif if (ierr /= 0) then stop "Source model terrain data not found" endif @@ -1117,7 +1151,11 @@ subroutine process(input_date, current, prev, post, geo_em, expand_loop) stop "2) Source model terrain dimensions do not match source model temperature dimensions" endif where(Zdatastruct%data < 0.0) Zdatastruct%data = 0.0 ! Barlage 20140529 - datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) + if (forcing_type=="ERA5") then + datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data/9.806 ) + else + datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) + endif deallocate(Zdatastruct%data) nullify(Zdatastruct%data) endif @@ -1217,7 +1255,11 @@ subroutine remap(datastruct, geo_em, buff) endif call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), east_longitude, etax(i,j), etay(i,j)) #else - call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), geo_em%lon(i,j), etax(i,j), etay(i,j)) + if (forcing_type=="ERA5") then + call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), geo_em%lon(i,j)+360., etax(i,j), etay(i,j)) + else + call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), geo_em%lon(i,j), etax(i,j), etay(i,j)) + endif #endif if (buff%remap_type=="bint") then @@ -1294,7 +1336,7 @@ subroutine grib_file_search_future(current, post, datastruct, ierr) ! If we haven't found any matching data yet, then get out of here. if (ierr == 1) return - + call get_single_datastruct_from_grib(trim(flnm), kdate, datastruct, ierr) post%hdate = kdate//":00:00" post%units = datastruct%units @@ -1348,7 +1390,7 @@ subroutine grib_file_search_now(current, datastruct, ierr) call get_single_datastruct_from_grib(trim(flnm), kdate, datastruct, ierr) current%units = datastruct%units - + if (forcing_type/="ERA5") then if ( current%label /= datastruct%field ) then write(*,'(/,1x,80("*"))') write(*,'(" ***** PROBLEM: Requested field name does not match the name in the Vtable entry.")') @@ -1361,9 +1403,125 @@ subroutine grib_file_search_now(current, datastruct, ierr) write(*,'(1x,80("*"),/)') stop endif - + else + if (current%label=="CANWAT")then + datastruct%data = 0 + write(*,*) "ERA5 doesn't provide canopy water for initialization, set CANWAT = 0" + endif + endif end subroutine grib_file_search_now +!============================================================================== +!============================================================================== + + subroutine netcdf_file_search_future(current, post, datastruct, ierr) + use module_input_data_structure + implicit none + type(DataBuffer), intent(inout) :: current + type(DataBuffer), intent(inout) :: post + type(input_data_type), intent(out) :: datastruct + integer, intent(out) :: ierr + + character(len=13) :: kdate + integer :: i, j + character(len=256) :: flnm + + logical :: lexist + + nullify(datastruct%data) + + ierr = 1 + kdate = current%hdate(1:13) + + DATE_SEEK_LOOP : do i = 1, 12 + + TEMPLATE_LOOP : do j = 1, MAXTEMPLATE + if (current%flnm_template(j) /= " ") then + flnm = current%flnm_template(j) + + call fill_template(flnm, kdate) + + write(*,'(A)') " "//": Checking for file '"//trim(flnm)//"'" + + inquire(file=trim(flnm), exist=lexist) + if ( .not. lexist ) then + inquire(file=trim(flnm)//".bz2", exist=lexist) + if (lexist) then + flnm = trim(flnm)//".bz2" + endif + endif + + if (lexist) then + write(*,'(A)') " "//": Found file "//trim(flnm) + ierr = 0 + exit DATE_SEEK_LOOP + endif + endif + enddo TEMPLATE_LOOP + + call geth_newdate(kdate, kdate, 1) + + enddo DATE_SEEK_LOOP + + ! If we haven't found any matching data yet, then get out of here. + if (ierr == 1) return + + call get_single_datastruct_from_netcdf(trim(flnm),kdate,datastruct, ierr, current) + post%hdate = kdate//":00:00" + post%units = datastruct%units + + end subroutine netcdf_file_search_future + +!============================================================================== +!============================================================================== + + subroutine netcdf_file_search_now(current, datastruct, ierr) + use module_input_data_structure + implicit none + type(DataBuffer), intent(inout) :: current + type(input_data_type), intent(out) :: datastruct + integer, intent(out) :: ierr + character(len=256) :: flnm + logical :: lexist + integer :: j + character(len=13) :: kdate + + kdate = current%hdate(1:13) + + ierr = 1 + + TEMPLATE_LOOP : do j = 1, MAXTEMPLATE + if (current%flnm_template(j) /= " ") then + flnm = current%flnm_template(j) + + call fill_template(flnm, kdate) + + write(*,'(A)') " "//": Checking for file '"//trim(flnm)//"'" + + inquire(file=trim(flnm), exist=lexist) + if ( .not. lexist ) then + inquire(file=trim(flnm)//".bz2", exist=lexist) + if (lexist) then + flnm = trim(flnm)//".bz2" + endif + endif + + if (lexist) then + write(*,'(A)') " "//": Found file "//trim(flnm) + ierr = 0 + exit TEMPLATE_LOOP + endif + endif + enddo TEMPLATE_LOOP + if (ierr == 1) return + + nullify(datastruct%data) + + call get_single_datastruct_from_netcdf(trim(flnm), kdate, datastruct, ierr, current) + current%units = datastruct%units + + end subroutine netcdf_file_search_now + !============================================================================== !============================================================================== @@ -1659,6 +1817,12 @@ subroutine read_grib_unit(nunit, datastruct, ierr, info) ! where (datastruct%data <= 0) datastruct%data = -1.E36 endif + if ((datastruct%field == "SNOW").and.(datastruct%units == "m")) then!StS + ! Convert SWE from m to kg m{-2} (that is, mm)!StS + datastruct%data = datastruct%data * 1.E3!StS + datastruct%units = "mm"!StS + endif!StS + !MB: want mm units in v3.7 !KWM if (description == "Plant Canopy Surface Water") then ! if (datastruct%field == "CANWAT") then @@ -1716,6 +1880,20 @@ subroutine read_grib_unit(nunit, datastruct, ierr, info) else stop "Precip Problem A?" endif + elseif ( (datastruct%units == "m") ) then!StS + if (processing(1:12) == "Accumulation") then!StS + oldmax = maxval(datastruct%data, mask=(datastruct%data > -1.E25))!StS + write(*,'(13x, "Maxval adjusted from ", F12.6)', advance="no") oldmax!StS + where (datastruct%data > -1.E25) !StS + datastruct%data = datastruct%data*1000. * (1.0 / float(p2_seconds - p1_seconds))!StS + endwhere!StS + newmax = maxval(datastruct%data, mask=(datastruct%data > -1.E25))!StS + write(*,'(" to ", F12.6, ": factor of ", I8)') newmax, NINT(oldmax/newmax)!StS + ! Change the units to mm/s, reflecting the rescaling we just did.!StS + datastruct%units = "mm/s"!StS + else !StS + stop "Precip Problem A?"!StS + endif!StS elseif ( (datastruct%units == "kg/m^2/s") ) then ! For example, GLDAS; MB v3.7 datastruct%units = "mm/s" else @@ -1723,8 +1901,240 @@ subroutine read_grib_unit(nunit, datastruct, ierr, info) endif endif + if ((datastruct%field == "LWDOWN") .or. (datastruct%field == "SWDOWN")) then!StS + if ( (datastruct%units == "J m-2") .and. (processing(1:12) == "Accumulation") ) then!StS + datastruct%data = datastruct%data * (1.0 / float(p2_seconds - p1_seconds))!StS + datastruct%units = "W/m^2 "!StS + endif + endif + end subroutine read_grib_unit +!============================================================================== +!============================================================================== + + subroutine get_single_datastruct_from_netcdf(ncflnm, kdate, datastruct, ierr, current) + use module_grib + use netcdf + use kwm_string_utilities + use module_input_data_structure + implicit none + character(len=*), intent(in) :: ncflnm, kdate + type(DataBuffer), intent(in) :: current + ! define some variables for reading ncfile + integer :: ncid + + ! define data structure + type(input_data_type), intent(out) :: datastruct + integer, intent(out) :: ierr + character(len=256) :: flnm + + !------------------------------------------------------------------------- + flnm = ncflnm + + call fill_template(flnm, kdate) + ! Open the netcdf file and read data record + ierr = nf90_open(flnm,nf90_nowrite,ncid) + if (ierr /= 0) then + if (ierr ==2) then + write(*, '("File does not exist: ",A)') trim(flnm) + else + write(*, '("Undetermined problem opening file: ", A)') trim(flnm) + endif + return + stop "get_single_datastruct_from_netcdf" + endif + if (associated(datastruct%data)) then + deallocate(datastruct%data) + nullify(datastruct%data) + endif + if (current%label=="TERRAIN" .or. current%label=="LANDSEA") then + if (forcing_type=="ERA5") then + call read_era5_netcdf_unit(ncid,datastruct,ierr,current) + elseif (forcing_type=="GLDAS" .or. forcing_type=="NLDAS") then + call read_gldas_netcdf_unit(ncid,datastruct,ierr,current) + endif + else + call read_gldas_netcdf_unit(ncid,datastruct,ierr,current) + endif + + if (ierr /= 0) then + print*, 'Returning error flag from get_single_datastruct_from_netcdf (1)' + print*, 'flnm = ', trim(flnm) + print*, 'ierr = ', ierr + if (associated(datastruct%data)) then + deallocate(datastruct%data) + nullify(datastruct%data) + endif + return + endif + ierr = nf90_close(ncid) + end subroutine get_single_datastruct_from_netcdf + +!============================================================================== +!============================================================================== + + subroutine read_gldas_netcdf_unit(ncid, datastruct, ierr, current) + use netcdf + use variables + use module_input_data_structure + implicit none + integer, intent(in) :: ncid + type(string) :: array(21) + type(input_data_type), intent(out) :: datastruct + type(DataBuffer), intent(in) :: current + integer, parameter :: NDIMS = 3, NRECS = 1 + integer, parameter :: NLATS = 600, NLONS = 1440 + character (len = *), parameter :: LAT_NAME = "lat" + character (len = *), parameter :: LON_NAME = "lon" + character (len = *), parameter :: REC_NAME = "time" + integer :: lon_dimid, lat_dimid, rec_dimid + integer :: start(NDIMS), count(NDIMS) + real :: lats(NLATS), lons(NLONS) + integer :: ierr, lon_varid, lat_varid + integer :: astat + character (len = 256) :: VAR_NAME + integer :: varid + integer :: dimids(NDIMS) + ! Read the data into these arrays + real :: var_in(NLONS,NLATS) + integer :: ndims_in, nvars_in, ngatts_in, unlimdimid_in + integer :: lat, lon + array = [string('Tair_f_inst'),string('Q_f_inst'),string('U_f_inst'),string("V_f_inst"),string("Psurf_f_inst"), & + string("Precf_tavg"),string("SWdown_f_tavg"),string("LWdown_f_tavg"),string("GLDAS_elevation"),& + string("AvgSurfT_inst"),string("SWE_inst"),string("CanopInt_inst"),& + string("SoilMoi0_10cm_inst"),string("SoilMoi10_40cm_inst"),string("SoilMoi40_100cm_inst"),string("SoilMoi100_200cm_inst"),& + string("SoilTMP0_10cm_inst"),string("SoilTMP10_40cm_inst"),string("SoilTMP40_100cm_inst"),string("SoilTMP100_200cm_inst"),& + string("GLDAS_mask")] + nullify(datastruct%data) + ! Match the netcdf attribute with one of the Vtable entries + VARSEARCH : do j = 1, vtable_count + if (current%label == vtable(j)%name) then + VAR_NAME = array(j)%str + datastruct%field = vtable(j)%name + datastruct%desc = vtable(j)%desc + datastruct%units = vtable(j)%units + exit VARSEARCH + endif + if (j == vtable_count) then + write(*,'(/," ***** ERROR *****")') + write(*,'(" ***** NetCDF data does not match a Vtable entry")') + stop "Edition 1" + endif + enddo VARSEARCH + datastruct%nx = NLONS + datastruct%ny = NLATS + call map_set(PROJ_LATLON, datastruct%proj, lat1=-59.875, lon1=-179.875, & + latinc=0.25, loninc=0.25, knowni=1.0, knownj=1.0) + if (associated(datastruct%data)) then + deallocate(datastruct%data) + nullify(datastruct%data) + endif + allocate(datastruct%data(datastruct%nx,datastruct%ny), stat=astat) + if (astat /= 0) stop "Problem (A) allocating datastruct%data" + ierr = nf90_inq_varid(ncid, VAR_NAME, varid) + ierr = nf90_get_var(ncid, varid, var_in) + datastruct%data = var_in +! Some modification for SMOIS unit + if (datastruct%field(1:6) == "SMOIS_") then + ! If units are kg m{-2} (that is, mm), convert to volumetric + if ( (datastruct%units == "kg/m^2") .or. (datastruct%units == "mm") ) then + print *, "I am in this loop: if units == kg/m^2" + write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & + (datastruct%layer2 - datastruct%layer1) + datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) + datastruct%units = "m^3/m^3" + elseif (datastruct%units == "gldas") then ! hack to take care of bad units in GLDAS MBv3.7 + print *, "I am in this loop: if units == glads" + if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer1 = 0 + if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer2 = 0.1 + if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer1 = 0.1 + if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer2 = 0.4 + if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer1 = 0.4 + if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer2 = 1.0 + if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer1 = 1.0 + if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer2 = 2.0 + write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & + (datastruct%layer2 - datastruct%layer1) + datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) + datastruct%units = "m^3/m^3" + endif + endif + + if (ierr /=0 ) then + print *, "Can't read variable: ", VAR_NAME + else + print *, "Successfully read variable: ", VAR_NAME + endif + end subroutine read_gldas_netcdf_unit + +!============================================================================== +!============================================================================== + + subroutine read_era5_netcdf_unit(ncid, datastruct, ierr, current) + use netcdf + use variables + use module_input_data_structure + implicit none + integer, intent(in) :: ncid + type(string) :: array(3) + type(input_data_type), intent(out) :: datastruct + type(DataBuffer), intent(in) :: current + integer, parameter :: NDIMS = 3, NRECS = 1 + integer, parameter :: NLATS = 1801, NLONS = 3600 + character (len = *), parameter :: LAT_NAME = "lat" + character (len = *), parameter :: LON_NAME = "lon" + character (len = *), parameter :: REC_NAME = "time" + integer :: lon_dimid, lat_dimid, rec_dimid + integer :: start(NDIMS), count(NDIMS) + real :: lats(NLATS), lons(NLONS) + integer :: ierr, lon_varid, lat_varid + integer :: astat + character (len = 256) :: VAR_NAME + integer :: varid + integer :: dimids(NDIMS) + ! Read the data into these arrays + real :: var_in(NLONS,NLATS) + integer :: ndims_in, nvars_in, ngatts_in, unlimdimid_in + integer :: lat, lon + array = [string('Tair_f_inst'),string('z'),string('lsm')] ! Only z (for geopotential) and lsm (for land-sea mask) are needed + nullify(datastruct%data) + ! Match the netcdf attribute with one of the Vtable entries + VARSEARCH : do j = 0, vtable_count + if (current%label == vtable(j)%name) then + VAR_NAME = array(j)%str + datastruct%field = vtable(j)%name + datastruct%desc = vtable(j)%desc + datastruct%units = vtable(j)%units + exit VARSEARCH + endif + if (j == vtable_count) then + write(*,'(/," ***** ERROR *****")') + write(*,'(" ***** NetCDF data does not match a Vtable entry")') + stop "Edition 1" + endif + enddo VARSEARCH + datastruct%nx = NLONS + datastruct%ny = NLATS + call map_set(PROJ_LATLON, datastruct%proj, lat1=90.00, lon1=0.00, & + latinc=-0.1, loninc=0.1, knowni=1.0, knownj=1.0) + if (associated(datastruct%data)) then + deallocate(datastruct%data) + nullify(datastruct%data) + endif + allocate(datastruct%data(datastruct%nx,datastruct%ny), stat=astat) + if (astat /= 0) stop "Problem (A) allocating datastruct%data" + ierr = nf90_inq_varid(ncid, VAR_NAME, varid) + ierr = nf90_get_var(ncid, varid, var_in) + datastruct%data = var_in + + if (ierr /=0 ) then + print *, "Can't read variable: ", VAR_NAME + else + print *, "Successfully read variable: ", VAR_NAME + endif + end subroutine read_era5_netcdf_unit + !============================================================================== !============================================================================== diff --git a/hrldas/HRLDAS_forcing/lib/module_grib1.F b/hrldas/HRLDAS_forcing/lib/module_grib1.F index 6333c7d..50dd5d4 100644 --- a/hrldas/HRLDAS_forcing/lib/module_grib1.F +++ b/hrldas/HRLDAS_forcing/lib/module_grib1.F @@ -268,10 +268,11 @@ subroutine grib1_unpack_sec1(buffer, buffsize, iskip, sec1) integer, intent(inout) :: iskip type (G1Section1Struct), intent(out) :: sec1 - integer :: yy + integer :: yy,iskip0!StS integer :: century integer :: gdsbms + iskip0=iskip!StS sec1%isize = unpack_unsigned_integer(buffer, 3, iskip) sec1%ptvn = unpack_unsigned_integer(buffer, 1, iskip) sec1%center = unpack_unsigned_integer(buffer, 1, iskip) @@ -322,6 +323,7 @@ subroutine grib1_unpack_sec1(buffer, buffsize, iskip, sec1) century = unpack_unsigned_integer(buffer, 1, iskip) sec1%subcenter = unpack_unsigned_integer(buffer, 1, iskip) sec1%decimal_scale_factor = unpack_signed_integer(buffer, 2, iskip) + iskip = iskip0+sec1%isize*8!StS select case (gdsbms) case default @@ -363,15 +365,16 @@ subroutine grib1_unpack_sec2(buffer, buffsize, iskip, sec2) character(len=1), dimension(buffsize), intent(in) :: buffer integer, intent(inout) :: iskip type (G1Section2Struct), intent(inout) :: sec2 - integer :: idum + integer :: idum,iskip0!StS + iskip0=iskip!StS sec2%isize = unpack_unsigned_integer(buffer, 3, iskip) sec2%nv = unpack_unsigned_integer(buffer, 1, iskip) sec2%pv = unpack_unsigned_integer(buffer, 1, iskip) sec2%drt = unpack_unsigned_integer(buffer, 1, iskip) select case (sec2%drt) - case (0) ! Lat/Lon grid + case (0,1) ! Lat/Lon grid sec2%nx = unpack_unsigned_integer(buffer, 2, iskip) sec2%ny = unpack_unsigned_integer(buffer, 2, iskip) @@ -526,6 +529,7 @@ subroutine grib1_unpack_sec2(buffer, buffsize, iskip, sec2) stop end select + iskip=iskip0+sec2%isize*8!StS end subroutine grib1_unpack_sec2 diff --git a/hrldas/HRLDAS_forcing/run/README.namelist b/hrldas/HRLDAS_forcing/run/README.namelist index 9433042..d6bf368 100644 --- a/hrldas/HRLDAS_forcing/run/README.namelist +++ b/hrldas/HRLDAS_forcing/run/README.namelist @@ -41,6 +41,13 @@ OUTPUTDIR Default: No valid default value Example: DATADIR = "/data1/user2/ldasin" +FORCING_TYPE + + Enter the the name of the forcing in use. Currently there are four options: "NLDAS", "GLDAS", "NARR", "ERA5" + Type: character string + Default: No valid default value + Example: FORCING_TYPE = "ERA5" + RAINFALL_INTERP Specifies the option for remapping the precipitation field from diff --git a/hrldas/HRLDAS_forcing/run/examples/ERA5/calculate_Q_era5.py b/hrldas/HRLDAS_forcing/run/examples/ERA5/calculate_Q_era5.py new file mode 100644 index 0000000..ea4398d --- /dev/null +++ b/hrldas/HRLDAS_forcing/run/examples/ERA5/calculate_Q_era5.py @@ -0,0 +1,89 @@ +#!/usr/bin/python +### Zhe Zhang +### 2020-05-31 +### Calculate specific humidity +### from dew point temperature and surface pressure +### according to Bolton 1980 +### e = 6.112*exp((17.67*Td)/(Td + 243.5)); +### q = (0.622 * e)/(p - (0.378 * e)); +### where: +### e = vapor pressure in mb; +### Td = dew point in deg C; +### p = surface pressure in mb; +### q = specific humidity in kg/kg. +### (Note the final specific humidity units are in g/kg = (kg/kg)*1000.0) +### https://archive.eol.ucar.edu/projects/ceop/dm/documents/refdata_report/eqns.html + +import glob +import numpy as np +import sys,os + +### module load cdo +os.system("module load cdo ") + +### create date arrays +nums = ["00","01","02","03","04","05","06","07","08","09", + "10","11","12","13","14","15","16","17","18","19", + "20","21","22","23","24","25","26","27","28","29", + "30","31"] +yrs = ["01"] +day_start = 274 +day_end = 275 +cc = ["20"] # Manually set the century + +noleap_days = [0,31,59,90,120,151,181,212,243,273,304,334,365] +leap_days = [0,31,60,91,121,152,182,213,244,274,305,335,366] +vars_name = ["2D","SP"] +hours = np.linspace(0,23,24) +houre = np.linspace(1,24,24) +hh = ["00","01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","21","22","23"] + +data_dir = "/glade/scratch/zhezhang/ERA5/land/" +results_dir = "/glade/scratch/zhezhang/ERA5/land/extract/" + +for yy in range(len(yrs)): + modays = noleap_days + if (yrs[yy] == "92" or "96"): + modays = leap_days + if (yrs[yy] == "00" or "04" or "08" or "12" or "16"): + modays = leap_days + for julday in range(day_start+1,day_end+2,1): + for mo in range(0,12,1): + if (julday>modays[mo] and julday<=modays[mo+1]): + day = (julday - modays[mo]) + if (mo<9): + mon = "0"+str(mo+1) + else: + mon = str(mo+1) + if (day<10): + day = "0"+str(day) + else: + day = str(day) + inday = cc[0]+yrs[yy]+(mon)+(day) + +# Four steps are taken for calculating specific humidity +# (1) calculate saturated water pressure e from Td +# (2) combine e and SP +# (3) calculate q from e and SP +# (4) set the output parameter id + for hr in range(24): + print "working on time: ",inday+str(int(hours[hr]))+"-"+str(int(houre[hr])) + infile1= results_dir+"2D/ERA5_2D_"+inday+hh[hr] + outfile1= results_dir+"2D/ERA5_E_"+inday+hh[hr] + command1= 'cdo expr,"var1=6.112*exp(17.67*(var168-273.15)/(var168-273.15+243.5))" '+infile1+" "+outfile1 + os.system(command1) + + infile2 = results_dir+"/SP/ERA5_SP_"+inday+hh[hr] + outfile2= results_dir+"2D/ERA5_combine_"+inday+hh[hr] + command2= 'cdo merge '+outfile1+" "+infile2+" "+outfile2 + os.system(command2) + + outfile3= results_dir+"/Q/ERA5_Q1_"+inday+hh[hr] + command3= 'cdo expr,"var133=(0.622*var1)/(var134/100.-(0.378*var1))/1000." '+" "+outfile2+" "+outfile3 + os.system(command3) + + outfile4= results_dir+"/Q/ERA5_Q_"+inday+hh[hr] + command4= "cdo setparam,133.128 "+outfile3+" "+outfile4 + os.system(command4) + +print "Successfully calculate specific humidity!" diff --git a/hrldas/HRLDAS_forcing/run/examples/ERA5/deaccumulate_era5.py b/hrldas/HRLDAS_forcing/run/examples/ERA5/deaccumulate_era5.py new file mode 100644 index 0000000..cf78b20 --- /dev/null +++ b/hrldas/HRLDAS_forcing/run/examples/ERA5/deaccumulate_era5.py @@ -0,0 +1,81 @@ +#!/usr/bin/python +### Zhe Zhang +### 2020-05-31 +### There are three accumulated fields in ERA5 +### shortwave radiation (SSRD), longwave radiation (STRD) +### and total precipitation (TP) +### start accumulate by 00 hour, leave the first time step +### start subtracting the previous time step from the rest 01-23 time steps + +import glob +import numpy as np +import sys,os + +### module load cdo +os.system("module load cdo ") + +### create date arrays +nums = ["00","01","02","03","04","05","06","07","08","09", + "10","11","12","13","14","15","16","17","18","19", + "20","21","22","23","24","25","26","27","28","29", + "30","31"] +yrs = ["01"] +day_start = 274 +day_end = 275 +cc = ["20"] # Manually set the century + +noleap_days = [0,31,59,90,120,151,181,212,243,273,304,334,365] +leap_days = [0,31,60,91,121,152,182,213,244,274,305,335,366] +vars_name = ["SSRD","STRD","TP"] +vars_out = ["ACSSRD","ACSTRD","ACTP"] +hours = np.linspace(0,23,24) +houre = np.linspace(1,24,24) +hh = ["00","01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","21","22","23"] + +data_dir = "/glade/scratch/zhezhang/ERA5/land/" +results_dir = "/glade/scratch/zhezhang/ERA5/land/extract/" + +for yy in range(len(yrs)): + modays = noleap_days + if (yrs[yy] == "92" or "96"): + modays = leap_days + if (yrs[yy] == "00" or "04" or "08" or "12" or "16"): + modays = leap_days + for julday in range(day_start+1,day_end+2,1): + for mo in range(0,12,1): + if (julday>modays[mo] and julday<=modays[mo+1]): + day = (julday - modays[mo]) + if (mo<9): + mon = "0"+str(mo+1) + else: + mon = str(mo+1) + if (day<10): + day = "0"+str(day) + else: + day = str(day) + inday = cc[0]+yrs[yy]+(mon)+(day) + + for var in range(3): + for hr in range(1,24): + print "working on time: ",inday+str(int(hours[hr]))+"-"+str(int(houre[hr])) + infile1= results_dir+"/"+vars_name[var]+"/ERA5_"+vars_out[var]+"_"+inday+hh[hr] + infile2= results_dir+"/"+vars_name[var]+"/ERA5_"+vars_out[var]+"_"+inday+hh[hr-1] + outfile= results_dir+"/"+vars_name[var]+"/ERA5_"+vars_name[var]+"_"+inday+hh[hr] + commandline = "cdo sub "+infile1+" "+infile2+" "+outfile # subtract the time step before + print (commandline) + if not os.path.exists(outfile): + os.system(commandline) + else: + print "file exist, move to next one" + hr = 0 + print "working on time: ",inday+str(int(hours[hr]))+"-"+str(int(houre[hr])) + infile = results_dir+"/"+vars_name[var]+"/ERA5_"+vars_out[var]+"_"+inday+hh[hr] + outfile = results_dir+"/"+vars_name[var]+"/ERA5_"+vars_name[var]+"_"+inday+hh[hr] + commandline = "mv "+infile+" "+outfile # leave the 00 time step out + print (commandline) + if not os.path.exists(outfile): + os.system(commandline) + else: + print "file exist, move to next one" + +print "Successfully deaccumulate SSRD, STRD, TP!" diff --git a/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5.py b/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5.py new file mode 100644 index 0000000..7cc6837 --- /dev/null +++ b/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5.py @@ -0,0 +1,72 @@ +#!/usr/bin/python +### Zhe Zhang +### 2020-04-21 +### python script to extract gldas variables +### origional perl code from Mike's directory +### migrate from perl to python + +import glob +import numpy as np +import sys,os + +### create date arrays +nums = ["00","01","02","03","04","05","06","07","08","09", + "10","11","12","13","14","15","16","17","18","19", + "20","21","22","23","24","25","26","27","28","29", + "30","31"] +yrs = ["01"] +day_start = 274 +day_end = 275 +cc = ["20"] # Manually set the century + +noleap_days = [0,31,59,90,120,151,181,212,243,273,304,334,365] +leap_days = [0,31,60,91,121,152,182,213,244,274,305,335,366] +vars_name = ["10U","10V","2T","2D","SP","SSRD","STRD","TP"] +vars_out = ["10U","10V","2T","2D","SP","ACSSRD","ACSTRD","ACTP"] +vars_time = ["hr fcst:","hr fcst:","hr fcst:","hr fcst:","hr fcst:","hr acc:","hr acc:","hr acc:"] +hours = np.linspace(0,23,24) +houre = np.linspace(1,24,24) +hh = ["00","01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","21","22","23"] + +data_dir = "/glade/scratch/zhezhang/ERA5/land/" +infile = data_dir+"ERA5_global_2001-10-01.grib" +results_dir = "/glade/scratch/zhezhang/ERA5/land/extract/" + +for var in range(8): + if not os.path.exists(results_dir+"/"+vars_name[var]): + os.system("mkdir "+results_dir+"/"+vars_name[var]) +for yy in range(len(yrs)): + modays = noleap_days + if (yrs[yy] == "92" or "96"): + modays = leap_days + if (yrs[yy] == "00" or "04" or "08" or "12" or "16"): + modays = leap_days + for julday in range(day_start+1,day_end+2,1): + for mo in range(0,12,1): + if (julday>modays[mo] and julday<=modays[mo+1]): + day = (julday - modays[mo]) + if (mo<9): + mon = "0"+str(mo+1) + else: + mon = str(mo+1) + if (day<10): + day = "0"+str(day) + else: + day = str(day) + inday = cc[0]+yrs[yy]+(mon)+(day) + for hr in range(24): + for var in range(8): + print "working on time: ",inday+str(int(hours[hr]))+"-"+str(int(houre[hr])) + dforecast = "d="+inday+"00:"+vars_name[var]+":sfc:"+str(int(houre[hr]))+vars_time[var] + danalysis = "d="+inday+"00:"+vars_name[var]+":sfc:"+str(int(hours[hr]))+"-"+str(int(houre[hr]))+vars_time[var] + if (var <= 4): + dcommand = dforecast + else: + dcommand = danalysis + outfile= results_dir+"/"+vars_name[var]+"/ERA5_"+vars_out[var]+"_"+inday+hh[hr] + if not os.path.exists(outfile): + os.system("wgrib -s -4yr "+infile+" | grep '"+dcommand+"' | wgrib -i -grib "+infile+" -o "+outfile) + else: + print "file exist, move to next one" + +print "Successfully extract necessary variables!" diff --git a/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5_init.py b/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5_init.py new file mode 100644 index 0000000..6390a31 --- /dev/null +++ b/hrldas/HRLDAS_forcing/run/examples/ERA5/extract_era5_init.py @@ -0,0 +1,33 @@ +#!/usr/bin/python +### Zhe Zhang +### 2020-04-21 +### python script to extract gldas variables +### origional perl code from Mike's directory +### migrate from perl to python + +import glob +import numpy as np +import sys,os + +### create date arrays +yr = "01" +date = "1001" +cc = "20" # Manually set the century + +vars_name = ["SKT","SD","STL1","STL2","STL3","STL4","SWVL1","SWVL2","SWVL3","SWVL4"] +vars_time = ["hr fcst:","hr fcst:","hr fcst:","hr fcst:","hr fcst:","hr acc:","hr acc:","hr acc:"] + +data_dir = "/glade/scratch/zhezhang/ERA5/land/" +infile = data_dir+"ERA5_global_2001-10-01_init.grib" +results_dir = "/glade/scratch/zhezhang/ERA5/land/extract/INIT/" + +for var in range(10): + print "working on time: ",cc+yr+date+"00" + dcommand = "d="+cc+yr+date+"00:"+vars_name[var] + outfile= results_dir+"/ERA5_"+vars_name[var]+"_"+cc+yr+date+"00" + if not os.path.exists(outfile): + os.system("wgrib -s -4yr "+infile+" | grep '"+dcommand+"' | wgrib -i -grib "+infile+" -o "+outfile) + else: + print "file exist, move to next one" + +print "Successfully extract necessary variables!" diff --git a/hrldas/HRLDAS_forcing/run/examples/ERA5/namelist.input.ERA5 b/hrldas/HRLDAS_forcing/run/examples/ERA5/namelist.input.ERA5 new file mode 100644 index 0000000..1917968 --- /dev/null +++ b/hrldas/HRLDAS_forcing/run/examples/ERA5/namelist.input.ERA5 @@ -0,0 +1,79 @@ +&files + STARTDATE = "2001-10-01_00" + ENDDATE = "2001-10-02_00" + DataDir = "/glade/scratch/zhezhang/ERA5/land/extract" + OutputDir = "/glade/scratch/zhezhang/ERA5/land/LDASIN" + FORCING_TYPE = "ERA5" + FULL_IC_FRQ = 0 + RAINFALL_INTERP = 0 + RESCALE_SHORTWAVE = .FALSE. + UPDATE_SNOW = .FALSE. + FORCING_HEIGHT_2D = .FALSE. + TRUNCATE_SW = .FALSE. + EXPAND_LOOP = 10 + INIT_LAI = .TRUE. + VARY_LAI = .TRUE. + MASK_WATER = .FALSE. + + geo_em_flnm = "/glade/work/zhezhang/PPR/geo_em.d01.nc_ppr" + + Zfile_template = "./geo_1279l4_0.1x0.1.grib2_v4_unpack.nc" + LANDSfile_template = "./lsm_1279l4_0.1x0.1.grb_v4_unpack.nc" + Tfile_template = "/2T/ERA5_2T_" + Ufile_template = "/10U/ERA5_10U_", + Vfile_template = "/10V/ERA5_10V_", + Pfile_template = "/SP/ERA5_SP_", + Qfile_template = "/Q/ERA5_Q_", + LWfile_template = "/STRD/ERA5_STRD_", + SWfile_primary = "/SSRD/ERA5_SSRD_", + SWfile_secondary = "/SSRD/ERA5_SSRD_", + PCPfile_primary = "/TP/ERA5_TP_" + PCPfile_secondary = "/TP/ERA5_TP_", + + WEASDfile_template = "/INIT/ERA5_SD_", + CANWTfile_template = "/INIT/ERA5_SD_", ! ERA5 doesn't provide canopy water for initialization, will be set to 0 in the code + SKINTfile_template = "/INIT/ERA5_SKT_", + + STfile_template = "/INIT/ERA5_STL1_", + "/INIT/ERA5_STL2_", + "/INIT/ERA5_STL3_", + "/INIT/ERA5_STL4_", + + SMfile_template = "/INIT/ERA5_SWVL1_", + "/INIT/ERA5_SWVL2_", + "/INIT/ERA5_SWVL3_", + "/INIT/ERA5_SWVL4_", + +/ + + +-----+------+------+------+----------+----------+------------------------------------------+-----------------------+ +GRIB1| Level| From | To | | | |GRIB2|GRIB2|GRIB2|GRIB2| +Param| Type |Level1|Level2| Name | Units | Description |Discp|Catgy|Param|Level| +-----+------+------+------+----------+----------+------------------------------------------+-----------------------+ + 134 | 1 | 0 | | PSFC | Pa | | 0 | 3 | 0 | 1 | + 129 | 1 | 0 | | z | m2 s-2 | Geopotential | 0 | 3 | 4 | 1 | + 172 | 1 | 0 | | LANDSEA | fraction | Land/Sea flag | 2 | 0 | 0 | 1 | + 157 | 109 | 0 | | RH | % | Relative Humidity | 0 | 1 | 1 | 105 | + 165 | 1 | 0 | | U2D | m s-1 | U | 0 | 2 | 2 | 103 | + 166 | 1 | 0 | | V2D | m s-1 | V | 0 | 2 | 3 | 103 | + 167 | 1 | 0 | | T2D | K | Temperature | 0 | 0 | 0 | 103 | + 133 | 1 | 0 | | Q2D | kg kg-1 | | 0 | 1 | 0 | 1 | + 169 | 1 | 0 | | SWDOWN | J m-2 | Surface solar radiation downwards | 0 | 4 | 7 | 1 | + 175 | 1 | 0 | | LWDOWN | J m-2 | Surface thermal radiation downwards | 0 | 5 | 3 | 1 | + 198 | 1 | 0 | | CANWAT | m | Skin reservoir content/Canopy water | 192 | 128 | 198 | 1 | + 228 | 1 | 0 | | RAINRATE | m | Total Precipitation | 0 | 1 | 193 | 1 | + 235 | 1 | 0 | | TSK | K | Sea-Surface Temperature | 0 | 0 | 17 | 1 | + 34 | 1 | 0 | | SST | K | Sea-Surface Temperature | 10 | 3 | 0 | 1 | + 31 | 1 | 0 | | SEAICE | 0/1 Flag | Sea-Ice-Flag | 10 | 2 | 0 | 1 | + 141 | 1 | 0 | | SNOW | m |Water Equivalent of Accumulated Snow Depth| 0 | 1 | 254 | 1 | + 139 | 112 | 0 | 7 | STEMP_1 | K | T of 0-7 cm ground layer | 192 | 128 | 139 | 106 | + 170 | 112 | 7 | 28 | STEMP_2 | K | T of 7-28 cm ground layer | 192 | 128 | 170 | 106 | + 183 | 112 | 28 | 100 | STEMP_3 | K | T of 28-100 cm ground layer | 192 | 128 | 183 | 106 | + 236 | 112 | 100 | | STEMP_4 | K | T of 100-289 cm ground layer | 192 | 128 | 236 | 106 | + 39 | 112 | 0 | 7 | SMOIS_1 | fraction | Soil moisture of 0-7 cm ground layer | 192 | 128 | 39 | 106 | + 40 | 112 | 7 | 28 | SMOIS_2 | fraction | Soil moisture of 7-28 cm ground layer | 192 | 128 | 40 | 106 | + 41 | 112 | 28 | 100 | SMOIS_3 | fraction | Soil moisture of 28-100 cm ground layer | 192 | 128 | 41 | 106 | + 42 | 112 | 100 | | SMOIS_4 | fraction | Soil moisture of 100-289 cm ground layer | 192 | 128 | 42 | 106 | +-----+------+------+------+----------+----------+------------------------------------------+-----------------------+ + diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/namelist.input.GLDAS b/hrldas/HRLDAS_forcing/run/examples/GLDAS/namelist.input.GLDAS index c6fc60e..6768dfa 100644 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/namelist.input.GLDAS +++ b/hrldas/HRLDAS_forcing/run/examples/GLDAS/namelist.input.GLDAS @@ -3,6 +3,7 @@ ENDDATE = "2000-10-01_06" DataDir = "/glade/work/zhezhang/GLDAS/extracted" OutputDir = "/glade/work/zhezhang/GLDAS/LDASIN3/" + FORCING_TYPE = "GLDAS" FULL_IC_FRQ = 0 RAINFALL_INTERP = 0 RESCALE_SHORTWAVE = .FALSE. diff --git a/hrldas/HRLDAS_forcing/run/examples/NARR/namelist.input.NARR b/hrldas/HRLDAS_forcing/run/examples/NARR/namelist.input.NARR index 2c272c7..0636371 100644 --- a/hrldas/HRLDAS_forcing/run/examples/NARR/namelist.input.NARR +++ b/hrldas/HRLDAS_forcing/run/examples/NARR/namelist.input.NARR @@ -3,6 +3,7 @@ ENDDATE = "2010-01-03_00" DATADIR = "/d1/barlage/data/NARR/extracted" OUTPUTDIR = "/d1/barlage/data/NARR/LDASIN/" + FORCING_TYPE = "NARR" FULL_IC_FRQ = 0 RAINFALL_INTERP = 0 RESCALE_SHORTWAVE = .FALSE. diff --git a/hrldas/HRLDAS_forcing/run/examples/NLDAS/namelist.input.NLDAS b/hrldas/HRLDAS_forcing/run/examples/NLDAS/namelist.input.NLDAS index 0709b03..9189021 100644 --- a/hrldas/HRLDAS_forcing/run/examples/NLDAS/namelist.input.NLDAS +++ b/hrldas/HRLDAS_forcing/run/examples/NLDAS/namelist.input.NLDAS @@ -3,6 +3,7 @@ ENDDATE = "2010-01-03_00" DataDir = "/d1/barlage/data/NLDAS/extracted" OutputDir = "/d1/barlage/data/NLDAS/LDASIN/" + FORCING_TYPE = "NLDAS" FULL_IC_FRQ = 0 RAINFALL_INTERP = 0 RESCALE_SHORTWAVE = .FALSE. diff --git a/hrldas/docs/README.ERA5 b/hrldas/docs/README.ERA5 new file mode 100644 index 0000000..9d008ae --- /dev/null +++ b/hrldas/docs/README.ERA5 @@ -0,0 +1,244 @@ + +Steps for running a HRLDAS simulation using ERA5-Land for forcing. + +UPDATES in 2022-10-03, Zhe Zhang, with contribution from Dr. Stefano Serafin (University of Vienna) + +1. Create your geo_em file through WPS. These are not needed until the end of Step 2, but there is no point in creating the forcing if you don't have the domain. + +-------------------------------------------------- + +2. Compile HRLDAS + +Place the HRLDAS tar file where you will be running the model. + +tar xvf HRLDAS-v3.x.tar + +I will refer to this location as /root_path/HRLDAS-v3.x + +In /root_path/HRLDAS-v3.x, modify user_build_options to link to the proper compilers and paths. + + To compile with parallel version + edit the file 'user_build_options' + uncommment the compiler section with MPI (available for pgf90 and ifort compilers) + + To compile with sequential version + edit the file 'user_build_options' + uncommment the compiler section without MPI + +type 'make' + +If successful, there should be two executables created + +HRLDAS_forcing/create_forcing.exe + +and + +run/hrldas.exe + +-------------------------------------------------- + +3. Prepare ERA5-Land forcing data. +The ERA5-Land data are in 0.1-deg resolution for global coverage and hourly interval from 1950 to present. + +3.1 Get the ERA5-Land raw files in GRIB1 format. + +They can be retrieved from here: +https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview + +Users can select to download the necessary variables to create HRLDAS forcing, these include: +2m temperature, 2m dewpoint temperature, Surface downwards radiation (solar and thermal), +10m wind (u- and v-component), Surface pressure, and Total precipitation + +To use ERA5-Land data for initialization, please also download extra variables, but only for the first timestep: +Skin temperature, Soil temperature (level1-4), Snow depth water equivalent, Volumetric soil water (layer1-4) +(ERA5-Land doesn't provide Canopy water storage for initialization) + +I recommend download the forcing data with global coverage, since the current code only cope with global data array dimension. + +I put these "raw" files in one directory (e.g., /raw_ERA5_data_path) + +Two additional parameters are needed, (geopotential, converting to height, and the land-sea mask), and can be downloaded at: +https://confluence.ecmwf.int/display/CKB/ERA5-Land%3A+data+documentation#ERA5Land:datadocumentation-parameterlistingParameterlistings +These two datasets are provided in GRIB1, GRIB2, and netCDF4 format. I recommend download the netCDF4 format. + +-------------------------------------------------- + +3.2 extract_era5.py: extract the individual variables from the ERA5 files + +The current script uses wgrib program to extract individual fields from the compressed GRIB files. Users can change the processing time period by modifying the python script. + +Change these two paths for where raw ERA5 files are located and where separated(extracted) files will go. + +data_dir = "/raw_ERA5_data_path"; +results_dir = "/extracted_ERA5_data_path"; + +For convenience, you may want to create directories in the results_dir for each variable and a few more for processed fields. + +`cd /extracted_ERA5_data_path` +`mkdir Rainf/ Snowf/ Wind/ Tair/ Qair/ Psurf/ SWdown/ LWdown/ SWdown24/ Precip/ U/ V/ INIT/` + +Run the python code: +`python extract_era5.py` + +-------------------------------------------------- + +3.3 extract_era5_init.py: extract the initial-only fields (SWE_inst,Canopint_inst,AvgSurfT_inst,SoilMoi,SoilTMP) from the ERA5 output files + +Change the date of initialization and run the script one time. The files should appear in the /extracted_ERA5_data_path/INIT/ directory. + +Note: this step is not necessary unless you want to intialize using the ERA5 states + +Run the python code: +`python extract_era5_init.py` + +-------------------------------------------------- + +3.4 deaccumulate_era5.py: three variables are accumulated fields in ERA5: +shortwave radiation (SSRD), longwave radiation (STRD), total precipitation (TP) +start accumulate by 00 hour, neglect the first time step, until the end of the day +start subtracting the previous time step from the rest 01-23 time steps + +Run the python code: +`python deaccumulate_era5.py` + +3.5 calculate_Q_era5.py: the ERA5 data doesn't provide specific humidity directly, as needed in hrldas +So, will need to calculate the specific humidity (Q), from dewpoint temperature and surface pressure + +Run the python code: +`python calculate_Q_era5.py` + +3.6 intermediate clean-up (optional) + +If you are space-limited, at this point you can remove the raw ERA5 files. You have extracted all you need and they are no longer needed. + +-------------------------------------------------- + +3.7 Run the HRLDAS pre-processor code. + +At this point, you should have all the ERA5 output extracted into different directories at /extracted_ERA5_data_path/. Now it's finally time to run the first step of the HRLDAS. + +cd /root_path/HRLDAS-v3.x/HRLDAS_COLLECT_DATA/run + +In the examples/ERA5/ directory there is a namelist.input file that is consistent with the ERA5 procedure described above. You can modify this file for your case and place it in the pre-processor run directory: + +cp examples/ERA5/namelist.input.ERA5 . + +-------------------------------------------------- + +3.9.1 Modify the namelist +Note: I have made changes to this namelist here. Please see an updated version in /HRLDAS_forcing/run/example/ERA5/namelist.input.ERA5 +Modifying the namelist.input.ERA5 to your case. The following is a short description of each line in the file. A longer description is available in README.namelist + + STARTDATE : start date of your simulation + ENDDATE : end date of your simulation + DATADIR : base directory for your ERA5 GRIB files (will be substituted in the paths below) + OUTPUTDIR : where you want the forcing files to be placed + FORCING_TYPE : input forcing type = "ERA5" + FULL_IC_FRQ : set to 0 if you want initial conditions in the init file, -1 otherwise + RAINFALL_INTERP : rainfall interpolation procedure ! 0=Nearest Neighbor; 1=more expensive, grid fill method + RESCALE_SHORTWAVE : set to .FALSE. for ERA5 + UPDATE_SNOW : do you want to read in snow during the simulation? + FORCING_HEIGHT_2D : set to .FALSE. for ERA5 + TRUNCATE_SW : set to .FALSE. for ERA5 + EXPAND_LOOP : the number of loops to fill missing ERA5 data (e.g., soil over ocean). Set to at least 1 for ERA5, may need to set higher if, for example, you have islands in your WRF grid that are not resolved by ERA5. + INIT_LAI : .true. to put LAI in the init file + VARY_LAI : .true. to put time-varying LAI in the forcing files + MASK_WATER : .true. to put missing values over water points (could reduce size if you compress later) + + geo_em_flnm = path and name of your geo_em file + + Zfile_template = template for your ERA5 terrain height file + LANDSfile_template = template for your ERA5 land-sea file + Tfile_template = template for your ERA5 temperature file + Ufile_template = template for your ERA5 u-wind file + Vfile_template = template for your ERA5 v-wind file + Pfile_template = template for your ERA5 pressure file + Qfile_template = template for your ERA5 q file + LWfile_template = template for your ERA5 longwave file + SWfile_primary = template for your ERA5 primary shortwave file + SWfile_secondary = template for your ERA5 secondary shortwave file + PCPfile_primary = template for your ERA5 primary precipitation file + PCPfile_secondary = template for your ERA5 secondary precipitation file + WEASDfile_template = template for your ERA5 SWE file (not necessary if you don't want initial conditions) + CANWTfile_template = ERA5 doesn't provide canopy water for initialization, here only provide a file name, will be set to 0 in the code + SKINTfile_template = template for your ERA5 skin temperature file (not necessary if you don't want initial conditions) + STfile_template = template for your ERA5 soil temperature file (not necessary if you don't want initial conditions) + SMfile_template = template for your ERA5 soil moisture file (not necessary if you don't want initial conditions) + +Note: for ERA5 there will be no need to include a secondary SW and precipitation file, so just set them to be the same + +3.9.2 Run the pre-processor + +Note: please use create_forcing_netcdf.F for this purpose. +`cp create_forcing_netcdf.F create_forcing.F` +and compile again. + +Run the pre-processor with the ERA5 namelist + +./create_forcing.exe namelist.input.ERA5 + +In your OUTPUTDIR, you should now have all your LDASIN files. + +4. Run HRLDAS + +The hard part is over. Go to the HRLDAS Run directory: + +cd /root_path/HRLDAS-v3.x/run + +4.1 Modify the namelist + +There is an example namelist.hrldas in the examples/ERA5/ directory. Copy this to the run/ directory + +cp examples/ERA5/namelist.hrldas.ERA5 namelist.hrldas + +See the full documentation for a complete description of items, but these are the important modifications: + + HRLDAS_SETUP_FILE = path and name of your grid/initial conditions file (can also be a wrfinput file) + MMF_RUNOFF_FILE = special for OPT_RUN=5, which is unsupported, for now + INDIR = where the LDASIN files are located + OUTDIR = where the LDASOUT files will be located + + START_YEAR = start year of your simulation + START_MONTH = start month of your simulation + START_DAY = start day of your simulation + START_HOUR = start hour of your simulation + START_MIN = start minute of your simulation + + RESTART_FILENAME_REQUESTED = uncomment for a restart + + KHOUR = length of simulation in hours (either KHOUR or KDAY must be set) + KDAY = length of simulation in days + + DYNAMIC_VEG_OPTION = Noah-MP options + CANOPY_STOMATAL_RESISTANCE_OPTION = + BTR_OPTION = + RUNOFF_OPTION = + SURFACE_DRAG_OPTION = + FROZEN_SOIL_OPTION = + SUPERCOOLED_WATER_OPTION = + RADIATIVE_TRANSFER_OPTION = + SNOW_ALBEDO_OPTION = + PCP_PARTITION_OPTION = + TBOT_OPTION = + TEMP_TIME_SCHEME_OPTION = + + + FORCING_TIMESTEP = time increment of available forcing (3600 for ERA5) + NOAH_TIMESTEP = time increment for model (<= FORCING_TIMESTEP) + OUTPUT_TIMESTEP = time increment for output (>= NOAH_TIMESTEP) + + SPLIT_OUTPUT_COUNT = split output after this many writes, 0 = all in one file + RESTART_FREQUENCY_HOURS = write restart files after this many hours + + XSTART = uncomment and set if you want to run a subset of your domain + XEND = + YSTART = + YEND = + + ZLVL = forcing height + +4.2 Run the HRLDAS + +./hrldas.exe + +The output will be saved to the OUTDIR directory. From d6cbe6183d6d17eade3e53274c61868964eb6f6a Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 14 Oct 2022 13:43:49 -0600 Subject: [PATCH 16/45] Sync with NoahMP bug fix for crop and LCZ --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 5bc08ad..e87559e 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 5bc08ad05a079a193915df42ae0ae39e121e910f +Subproject commit e87559e3bc182f2383921ce0450f0b14a068c356 From 3ae060a98ba5e4c6ecf9563dae9a16f556002add Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Sat, 19 Nov 2022 21:17:56 -0700 Subject: [PATCH 17/45] sync with NoahMP for LCZ number update --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index e87559e..43bcf9d 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit e87559e3bc182f2383921ce0450f0b14a068c356 +Subproject commit 43bcf9d2f58cb43ccea2ab8d43b8fd3018c006b2 From a7a781b27f234c166d6b028eb7019b11c6eee143 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 1 Dec 2022 12:38:10 -0700 Subject: [PATCH 18/45] Sync with NoahMP for bug fix in Q2 in Jarvis --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index 43bcf9d..ba1699d 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 43bcf9d2f58cb43ccea2ab8d43b8fd3018c006b2 +Subproject commit ba1699d168fe145a15cd27f6a26ab8df28f3185f From 5f895224c3b570ca0d4c9e65f58f1b4965050239 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Sat, 10 Dec 2022 16:23:50 -0700 Subject: [PATCH 19/45] bug fix for itimestep update --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 1 + 1 file changed, 1 insertion(+) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 0244145..f68d927 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -2621,6 +2621,7 @@ subroutine land_driver_exe(itime) ! Call to Noah-MP driver same as surface_driver !------------------------------------------------------------------------ sflx_count_sum = 0 ! Timing + ITIMESTEP = ITIME ! update time step count ! Timing information for SFLX: call system_clock(count=count_before_sflx, count_rate=clock_rate) From 0c73a38d65cb1856e2795beeccea1d5ef5d8f876 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Mon, 19 Dec 2022 20:59:47 -0700 Subject: [PATCH 20/45] bug fix for urban dimension parameter in hrldas driver --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 33 +++++++++----------- hrldas/run/README.namelist | 26 +++++++++++++-- 2 files changed, 38 insertions(+), 21 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index f68d927..b025be8 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -383,10 +383,10 @@ module module_NoahMP_hrldas_driver INTEGER :: num_urban_atmosphere ! atmospheric levels including ZLVL for BEP/BEM models - REAL, ALLOCATABLE :: GMT ! Hour of day (fractional) (needed for urban) - INTEGER, ALLOCATABLE :: JULDAY ! Integer day (needed for urban) + REAL :: GMT ! Hour of day (fractional) (needed for urban) + INTEGER :: JULDAY ! Integer day (needed for urban) REAL, ALLOCATABLE, DIMENSION(:,:) :: HRANG ! hour angle (needed for urban) - REAL, ALLOCATABLE :: DECLIN ! declination (needed for urban) + REAL :: DECLIN ! declination (needed for urban) INTEGER :: num_roof_layers = 4 INTEGER :: num_road_layers = 4 INTEGER :: num_wall_layers = 4 @@ -614,18 +614,17 @@ module module_NoahMP_hrldas_driver integer :: sf_urban_physics = 0 integer :: use_wudapt_lcz = 0 ! add for LCZ urban - integer :: num_urban_ndm = 1 - integer :: num_urban_ng = 1 - integer :: num_urban_nwr = 1 - integer :: num_urban_ngb = 1 - integer :: num_urban_nf = 1 - integer :: num_urban_nz = 1 - integer :: num_urban_nbui = 1 + integer :: num_urban_ndm = 2 + integer :: num_urban_ng = 10 + integer :: num_urban_nwr = 10 + integer :: num_urban_ngb = 10 + integer :: num_urban_nf = 10 + integer :: num_urban_nz = 18 + integer :: num_urban_nbui = 15 integer :: num_urban_hi = 15 real :: urban_atmosphere_thickness = 2.0 ! new urban var for green roof and solar panel integer :: num_urban_ngr = 10 ! = ngr_u in bep_bem.F - integer :: urban_map_zgrd = 1 ! derived urban dimensions @@ -638,6 +637,7 @@ module module_NoahMP_hrldas_driver integer :: urban_map_wd integer :: urban_map_gbd integer :: urban_map_fbd + integer :: urban_map_zgrd character(len=256) :: forcing_name_T = "T2D" character(len=256) :: forcing_name_Q = "Q2D" @@ -714,7 +714,7 @@ module module_NoahMP_hrldas_driver soil_data_option, pedotransfer_option, crop_option, & sf_urban_physics,use_wudapt_lcz,num_urban_hi,urban_atmosphere_thickness, & num_urban_ndm,num_urban_ng,num_urban_nwr ,num_urban_ngb , & - num_urban_nf ,num_urban_nz,num_urban_nbui, & + num_urban_nf ,num_urban_nz,num_urban_nbui, num_urban_ngr,& split_output_count, & khour, kday, zlvl, hrldas_setup_file, & spatial_filename, agdata_flnm, tdinput_flnm, & @@ -963,9 +963,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) urban_map_gbd = num_urban_ndm * num_urban_ngb * num_urban_nbui urban_map_fbd = num_urban_ndm * (num_urban_nz - 1) * & num_urban_nf * num_urban_nbui - -! new urban var - urban_map_zgrd = num_urban_ndm * num_urban_ngr * num_urban_nz + urban_map_zgrd = num_urban_ndm * num_urban_ngr * num_urban_nz ! for green roof end if @@ -1348,9 +1346,6 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ALLOCATE ( rn_urb2d (XSTART:XEND, YSTART:YEND) ) ! ALLOCATE ( ts_urb2d (XSTART:XEND, YSTART:YEND) ) ! ALLOCATE ( HRANG (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( DECLIN ) ! - ALLOCATE ( GMT ) ! - ALLOCATE ( JULDAY ) ! ALLOCATE ( frc_urb2d (XSTART:XEND, YSTART:YEND) ) ! ALLOCATE ( utype_urb2d (XSTART:XEND, YSTART:YEND) ) ! ALLOCATE ( lp_urb2d (XSTART:XEND, YSTART:YEND) ) ! @@ -2621,7 +2616,7 @@ subroutine land_driver_exe(itime) ! Call to Noah-MP driver same as surface_driver !------------------------------------------------------------------------ sflx_count_sum = 0 ! Timing - ITIMESTEP = ITIME ! update time step count + ITIMESTEP = ITIME ! update time count ! Timing information for SFLX: call system_clock(count=count_before_sflx, count_rate=clock_rate) diff --git a/hrldas/run/README.namelist b/hrldas/run/README.namelist index b22fc54..4c5aca1 100644 --- a/hrldas/run/README.namelist +++ b/hrldas/run/README.namelist @@ -68,12 +68,34 @@ ! only needed for urban options 2 and 3 [default = 2.0 ] ! must be less than zlvl/3 - NUM_URBAN_LAYERS = 360 ! Number of urban building layers - ! only needed for urban options 2 and 3 [default = 360 ] + NUM_URBAN_NDM = 2 ! Maximum number of urban street dimensions + ! only needed for urban options 2 and 3 [default = 2 ] + + NUM_URBAN_NWR = 10 ! Number of urban grid levels in the walls or roof + ! only needed for urban options 2 and 3 [default = 10 ] + + NUM_URBAN_NZ = 18 ! Maximum number of urban vertical levels + ! only needed for urban options 2 and 3 [default = 18 ] + + NUM_URBAN_NG = 10 ! Number of urban grid levels in the ground + ! only needed for urban options 2 and 3 [default = 10 ] NUM_URBAN_HI = 15 ! Number of urban atmosphere layers ! only needed for urban options 2 and 3 [default = 15 ] + NUM_URBAN_NGB = 10 ! Number of urban grid levels in the ground below buildings + ! only needed for urban option 3 [default = 10 ] + + NUM_URBAN_NF = 10 ! Number of urban grid levels in the floors + ! only needed for urban option 3 [default = 10 ] + + NUM_URBAN_NBUI = 15 ! Maximum number of building types in an urban class + ! only needed for urban option 3 [default = 15 ], must <= NUM_URBAN_NZ + + NUM_URBAN_NGR = 10 ! Number of urban grid levels in the green roof + ! only needed for urban option 3 [default = 10 ] + + FORCING_NAME_T ! Forcing variable name for temperature [default = "T2D"] FORCING_NAME_Q ! Forcing variable name for spec humidity [default = "Q2D"] FORCING_NAME_U ! Forcing variable name for u-wind [default = "U2D"] From 7b9280655140a2a3622810fee0399c0c5edd208c Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 23 Dec 2022 12:16:49 -0700 Subject: [PATCH 21/45] sync with Noah-MP canopy heat capacity parameter update --- noahmp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noahmp b/noahmp index ba1699d..4b7870f 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit ba1699d168fe145a15cd27f6a26ab8df28f3185f +Subproject commit 4b7870fe723a7be339cf19991977a79917bc1192 From 51c53f1229a77e685d30cd87916112ab8eb4bc63 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 23 Dec 2022 12:30:26 -0700 Subject: [PATCH 22/45] correct Xinanjiang name in comment --- hrldas/run/README.namelist | 2 +- noahmp | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/hrldas/run/README.namelist b/hrldas/run/README.namelist index 4c5aca1..a7c65e1 100644 --- a/hrldas/run/README.namelist +++ b/hrldas/run/README.namelist @@ -153,7 +153,7 @@ ! 4 -> BATS surface and subsurface runoff (free drainage) ! 5 -> Miguez-Macho&Fan groundwater scheme (Miguez-Macho et al. 2007 JGR; Fan et al. 2007 JGR) ! 6 -> Variable Infiltration Capacity Model surface runoff scheme (Wood et al., 1992, JGR) - ! 7 -> Xiananjiang Infiltration and surface runoff scheme ((Jayawardena and Zhou, 2000) + ! 7 -> Xinanjiang Infiltration and surface runoff scheme ((Jayawardena and Zhou, 2000) ! 8 -> Dynamic VIC surface runoff scheme (Liang and Xie, 2001) DVIC_INFILTRATION_OPTION = 1 ! options for infiltration in dynamic VIC runoff scheme (only works when RUNOFF_OPTION=8, default=1) diff --git a/noahmp b/noahmp index 4b7870f..7ee673e 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 4b7870fe723a7be339cf19991977a79917bc1192 +Subproject commit 7ee673e88cc7a4351be329d92809a0c1ce027053 From 05391c5af82d2f484a4e5ecab15c2ff6bd39cb67 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Sun, 8 Jan 2023 16:43:03 -0700 Subject: [PATCH 23/45] bug fix for urban variable dimension in restart file --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 33 +++++++++++--------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index b025be8..423656d 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -638,6 +638,7 @@ module module_NoahMP_hrldas_driver integer :: urban_map_gbd integer :: urban_map_fbd integer :: urban_map_zgrd + integer :: max_urban_dim ! C. He: maximum urban dimension for urban variable character(len=256) :: forcing_name_T = "T2D" character(len=256) :: forcing_name_Q = "Q2D" @@ -963,7 +964,11 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) urban_map_gbd = num_urban_ndm * num_urban_ngb * num_urban_nbui urban_map_fbd = num_urban_ndm * (num_urban_nz - 1) * & num_urban_nf * num_urban_nbui - urban_map_zgrd = num_urban_ndm * num_urban_ngr * num_urban_nz ! for green roof + urban_map_zgrd = num_urban_ndm * num_urban_ngr * num_urban_nz ! for green roof + ! C. He: compute maximum urban dimension + max_urban_dim = max(num_urban_hi,urban_map_zrd,urban_map_zwd,urban_map_gd,& + urban_map_zd,urban_map_zdf,urban_map_bd,urban_map_wd, & + urban_map_gbd,urban_map_fbd,urban_map_zgrd) end if @@ -2049,9 +2054,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , HI_URB2D ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , LF_URB2D ) - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model +! IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , CMR_SFCDIF ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , CHR_SFCDIF ) @@ -2083,9 +2088,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,FLXHUMB_URB2D ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,FLXHUMG_URB2D ) - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models +! IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , TRB_URB4D ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , TW1_URB4D ) @@ -2096,9 +2101,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , SFR_URB3D ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , SFG_URB3D ) - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model +! IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , TLEV_URB3D ) call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , QLEV_URB3D ) @@ -3076,7 +3081,7 @@ subroutine lsm_restart() call prepare_restart_file (trim(outdir), version, igrid, llanduse, olddate, startdate, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, num_urban_hi, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, & + nsoil, nsnow, max_urban_dim, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, & cen_lon, iswater, ivgtyp) call add_to_restart(TSLB , "SOIL_T", layers="SOIL") @@ -3181,9 +3186,9 @@ subroutine lsm_restart() call add_to_restart( HI_URB2D , "HI_URB2D", layers="URBN") call add_to_restart( LF_URB2D , "LF_URB2D", layers="URBN") - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model +! IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model call add_to_restart( CMR_SFCDIF , "CMR_SFCDIF" ) call add_to_restart( CHR_SFCDIF , "CHR_SFCDIF" ) @@ -3215,9 +3220,9 @@ subroutine lsm_restart() call add_to_restart(FLXHUMB_URB2D , "FLXHUMB_URB2D" ) call add_to_restart(FLXHUMG_URB2D , "FLXHUMG_URB2D" ) - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models +! IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models call add_to_restart( TRB_URB4D , "TRB_URB4D", layers="URBN" ) call add_to_restart( TW1_URB4D , "TW1_URB4D", layers="URBN" ) @@ -3228,9 +3233,9 @@ subroutine lsm_restart() call add_to_restart( SFR_URB3D , "SFR_URB3D", layers="URBN" ) call add_to_restart( SFG_URB3D , "SFG_URB3D", layers="URBN" ) - ENDIF +! ENDIF - IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model +! IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model call add_to_restart( TLEV_URB3D , "TLEV_URB3D", layers="URBN" ) call add_to_restart( QLEV_URB3D , "QLEV_URB3D", layers="URBN" ) From 14f327f776d643ed9f9891a55d2dcff5c9286935 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Mon, 9 Jan 2023 09:50:36 -0700 Subject: [PATCH 24/45] update urban code to the latest WRF-urban v4.4.3 version --- phys_wrf/module_sf_bem.F | 107 ++++----- phys_wrf/module_sf_bep_bem.F | 16 +- phys_wrf/module_sf_urban.F | 452 ++++------------------------------- 3 files changed, 90 insertions(+), 485 deletions(-) diff --git a/phys_wrf/module_sf_bem.F b/phys_wrf/module_sf_bem.F index 5e0192e..2a632fa 100644 --- a/phys_wrf/module_sf_bem.F +++ b/phys_wrf/module_sf_bem.F @@ -20,7 +20,7 @@ MODULE module_sf_bem real hum_rat !power of the A.C. drying/moistening the indoor air [(Kg/kg)/s] parameter(hum_rat=1.e-06) - real,parameter :: effpv=0.15 ! Efficiency of PV panels installed at the roofs, typical values [0.10,0.15] + real,parameter :: effpv=0.19 ! Efficiency of PV panels installed at the roofs, typical values [0.10,0.15] CONTAINS @@ -33,7 +33,7 @@ subroutine BEM(nzcanm,nlev,nhourday,dt,bw,bl,dzlev, & latent,sigma,albwal,albwin,albrof, & emrof,emwal,emwin,rswal,rlwal,rair,cp, & rhoout,tout,humout,press, & - rs,rl,dzwal,cswal,kwal,pwin,cop,beta,sw_cond, & + rs,swddif,rl,dzwal,cswal,kwal,pwin,cop,beta,sw_cond, & timeon,timeoff,targtemp,gaptemp,targhum,gaphum, & perflo,gr_frac_roof,pv_frac_roof,gr_flag, & uout,vout, & @@ -153,8 +153,8 @@ subroutine BEM(nzcanm,nlev,nhourday,dt,bw,bl,dzlev, & real tr_av real latent !latent heat of evaporation [J/Kg] - - real rs !external short wave radiation [W/m2] + real swddif + real rs !external short wave radiation [W/m2] real rl !external long wave radiation [W/m2] real rswal(4,nzcanm) !short wave radiation reaching the exterior walls [W/m2] real rlwal(4,nzcanm) !long wave radiation reaching the walls [W/m2] @@ -417,7 +417,7 @@ subroutine BEM(nzcanm,nlev,nhourday,dt,bw,bl,dzlev, & call radfluxs(radflux,albrof,rs,emrof,rl,sigma,tr_av) hrrof=radflux else - call radfluxspv(nzcanm,nlev,albrof,rs,emrof,rl,tr_av,tout,sigma,radflux,pv_frac_roof,tpv) + call radfluxspv(nzcanm,nlev,albrof,rs,swddif,emrof,rl,tr_av,tout,sigma,radflux,pv_frac_roof,tpv) hrrof=radflux endif @@ -625,7 +625,7 @@ subroutine BEM(nzcanm,nlev,nhourday,dt,bw,bl,dzlev, & if(pv_frac_roof.gt.0)then - call hsfluxpv(nzcanm,nlev,bl,bw,albrof,rs,emrof,rl,tr_av,tout,sigma,hspv,eppv,pv_frac_roof,uout,vout,tpv) + call hsfluxpv(nzcanm,nlev,bl,bw,albrof,rs,swddif,emrof,rl,tr_av,tout,sigma,hspv,eppv,pv_frac_roof,uout,vout,tpv,dt) sfpv=hspv tpv_print=tpv endif @@ -813,7 +813,7 @@ subroutine BEM(nzcanm,nlev,nhourday,dt,bw,bl,dzlev, & end subroutine BEM !====6=8===============================================================72 !====6=8===============================================================72 - subroutine hsfluxpv(nz,n,bl,bw,albr,rs,emr,rl,tr,tair,sigma,hspv,eppv,pv_frac_roof,uout,vout,tpv) + subroutine hsfluxpv(nz,n,bl,bw,albr,rs,swddif,emr,rl,tr,tair,sigma,hspv,eppv,pv_frac_roof,uout,vout,tpv,dt) ! implicit none ! @@ -833,6 +833,8 @@ subroutine hsfluxpv(nz,n,bl,bw,albr,rs,emr,rl,tr,tair,sigma,hspv,eppv,pv_frac_ro integer,intent(in) :: n !number of floors in the building real,intent(in), dimension(1:nz) :: uout real,intent(in), dimension(1:nz) :: vout + real,intent(in) :: dt + real,intent(in) :: swddif ! Output variables ! real,intent(inout) :: hspv ! Sensible heat flux from the PV panels to the atmosphere [W/m2] @@ -842,12 +844,22 @@ subroutine hsfluxpv(nz,n,bl,bw,albr,rs,emr,rl,tr,tair,sigma,hspv,eppv,pv_frac_ro ! Local variables ! real,parameter :: albpv=0.11 ! albedo of the PV panels - real,parameter :: empv=0.93 ! emissivity of the PV panels + real,parameter :: empv_down=0.95 ! emissivity of the PV panels + real,parameter :: empv_up=0.79 real, parameter :: T_amb=25 real, parameter :: tiltangle=0. - real, parameter :: a=0.286 - real, parameter :: b=0.286 - + real, parameter :: a=3.8 + real, parameter :: b=6.9 + + real, parameter :: r1=2330. + real, parameter :: r2=1200. + real, parameter :: r3=3000. + real, parameter :: c1=677. + real, parameter :: c2=1250. + real, parameter :: c3=500. + real, parameter :: d1=0.0003 + real, parameter :: d2=0.0005 + real, parameter :: d3=0.003 real, parameter :: F12=1. real :: lwuppv !Long-wave emitted by the PV panels to the sky [W/m2] real :: lwdwr !Long-wave incoming radiation on the roof [W/m2] @@ -857,67 +869,31 @@ subroutine hsfluxpv(nz,n,bl,bw,albr,rs,emr,rl,tr,tair,sigma,hspv,eppv,pv_frac_ro real :: sw_d real :: lw_d real :: lwpv_out - real :: f - real :: f_prime real :: tpv_new real :: hdown real :: hup real :: deltat real :: uroof real :: hrad - - hrad=sigma/((1-empv)/empv+1/F12+(1-emr)/emr) - - uroof=(uout(n+1)**2+vout(n+1)**2)**0.5 - tpv=tair(n+1) - tpv_new=tpv+1 - if(pv_frac_roof.gt.0)then - do while(abs(tpv-tpv_new).gt.1E-3) - deltat=-tpv_new+tair(n+1) - if(deltat.lt.0)then - hc=9.842*abs(deltat)**(1/3)/(7.283-abs(cos(tiltangle))) - hup=sqrt(hc**2+(a*uroof**b)**2) - hc=1.810*abs(deltat)**(1/3)/(1.382+abs(cos(tiltangle))) - hdown=sqrt(hc**2+(a*uroof**b)**2) - ! hup=2.8+3.8*uroof - ! hdown=2.8+3.8*uroof - else - hc=9.842*abs(deltat)**(1/3)/(7.283-abs(cos(tiltangle))) - hdown=sqrt(hc**2+(a*uroof**b)**2) - hc=1.810*abs(deltat)**(1/3)/(1.382+abs(cos(tiltangle))) - hup=sqrt(hc**2+(a*uroof**b)**2) - ! hup=2.8+3.8*uroof - ! hdown=2.8+3.8*uroof - endif - tpv=tpv_new + real :: Cm + real :: hf + Cm=r1*c1*d1+r2*c2*d2+r3*c3*d3 + hrad=sigma/((1-empv_down)/empv_down+1/F12+(1-emr)/emr) + uroof=(uout(n+1)**2+vout(n+1)**2)**0.5 + deltat=tpv-tair(n+1) + hf=2.5*(40./100.*uroof)**(0.5) + hc=9.842*abs(deltat)**(1./3.)/(7.283-abs(cos(tiltangle))) + hup=sqrt(hc**2.+(hf)**2.) + hc=1.810*abs(deltat)**(1./3.)/(1.382+abs(cos(tiltangle))) + hdown=sqrt(hc**2.+(hf)**2.) enerpv=effpv*rs*min(1.,1.-0.005*(tpv-(T_amb+273.15))) - sw_d=(1-albpv)*rs; - lw_d=empv*rl; - lwpv_out=empv*sigma*tpv**4+(1-empv)*rl - lwupr=hrad*(tr**4-tpv**4) - f=(sw_d+lw_d+lwupr-lwpv_out-enerpv-(hup+hdown)*(tpv-tair(n+1))); - if(min(1.,1.-0.005*(tpv-(T_amb+273.15))).eq.1)then - f_prime=-4.*sigma*empv*tpv**3-(hup+hdown)-4*hrad*tpv**3 - else - f_prime=-4.*sigma*empv*tpv**3-(hup+hdown)-4*hrad*tpv**3-effpv*rs*(1-0.005) - endif - if(f_prime.eq.0)then - tpv_new=tair(n+1) - else - tpv_new = tpv_new -f/f_prime; - endif - end do - tpv=tpv_new - if(tpv_new.lt.250.or.tpv_new.gt.400)then - tpv=tair(n+1) - endif + sw_d=(1-albpv)*(rs) + lw_d=empv_up*rl + lwpv_out=empv_up*sigma*tpv**4. + lwupr=hrad*(tr**4-tpv**4.) hspv=(hup+hdown)*(tpv-tair(n+1)) + tpv=tpv+(sw_d+lw_d-lwpv_out+lwupr-hspv-enerpv)/Cm*dt eppv=enerpv*pv_frac_roof*bl*bw - else - tpv=0 - hspv=0 - eppv=0 - endif return end subroutine hsfluxpv !====6=8===============================================================72 @@ -2557,7 +2533,7 @@ subroutine radfluxs(radflux,alb,rs,em,rl,sigma,twal) end subroutine radfluxs !====6=8===============================================================72 !====6=8===============================================================72 - subroutine radfluxspv(nz,n,alb,rs,em,rl,twal,tair,sigma,radflux,pv_frac_roof,tpv) + subroutine radfluxspv(nz,n,alb,rs,swddif,em,rl,twal,tair,sigma,radflux,pv_frac_roof,tpv) ! implicit none ! @@ -2573,6 +2549,7 @@ subroutine radfluxspv(nz,n,alb,rs,em,rl,twal,tair,sigma,radflux,pv_frac_roof,tpv integer,intent(in) :: nz !Maximum number of vertical levels in the urban grid real,intent(in) :: alb !albedo of the surface real,intent(in) :: rs !shortwave radiation [W m-2] + real,intent(in) :: swddif real,intent(in) :: em !emissivity of the surface real,intent(in) :: rl !longwave radiation [W m-2] real,intent(in) :: twal !surface temperature [K] @@ -2590,7 +2567,7 @@ subroutine radfluxspv(nz,n,alb,rs,em,rl,twal,tair,sigma,radflux,pv_frac_roof,tpv ! ! Local variables F12=1. - empv=0.93 + empv=0.95 hrad=sigma/((1-empv)/empv+1/F12+(1-em)/em) if ((n+1).gt.nz) then write(*,*) 'Increase maximum number of vertical levels in the urban grid' diff --git a/phys_wrf/module_sf_bep_bem.F b/phys_wrf/module_sf_bep_bem.F index d1e72c2..6649f8b 100644 --- a/phys_wrf/module_sf_bep_bem.F +++ b/phys_wrf/module_sf_bep_bem.F @@ -1715,7 +1715,7 @@ subroutine BEP1D(itimestep,ix,iy,iurb,kms,kme,kts,kte,z,dt,ua,va,pt,da,pr,pt0, sfrbpv(1,ibui), & latent,sigma,albw,albwin,albr, & emr,emw,emwind,rsw,rlw,r,cp_u, & - da_u,tmp_u,qv_u,pr_u,rs,rld,dzw,csw,alaw,pwin_u(iurb), & + da_u,tmp_u,qv_u,pr_u,rs,swddif,rld,dzw,csw,alaw,pwin_u(iurb), & cop_u(iurb),beta_u(iurb),sw_cond_u(iurb),time_on_u(iurb), & time_off_u(iurb),targtemp_u(iurb),gaptemp_u(iurb), & targhum_u(iurb),gaphum_u(iurb),perflo_u(iurb), & @@ -4291,7 +4291,7 @@ subroutine flux_flat_ground(dz,z0,ua,va,pt,pt0,ptg, & data dzg_u /0.2,0.12,0.08,0.05,0.03,0.02,0.02,0.01,0.005,0.0025/ real gx,dzg_tot - integer gr_type, iz + integer gr_type,iz ! ---------------------------------------------------------------------- ! END VARIABLES DEFINITIONS ! ---------------------------------------------------------------------- @@ -5312,13 +5312,13 @@ subroutine upward_rad(ndu,nzu,ws,bs,sigma,pb,ss, & grdflx_urb=grdflx_urb-gfl*ws(id)/(ws(id)+bs(id))/ndu do iz=2,nzu - rl_emit=rl_emit-(emr_u*sigma*((1.-pv_frac_roof)*tr_av(id,iz)**4.+pv_frac_roof*tpvlev(id,iz)**4)+ & - (1-emr_u)*rld)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu - rl_inc=rl_inc+(1-pv_frac_roof*rld+pv_frac_roof*emr_u*sigma*tpvlev(id,iz)**4)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu - rs_abs=rs_abs+((1.-albr_u)*rs*(1.-pv_frac_roof))*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu - gfl=(1.-albr_u)*rs*(1-pv_frac_roof)+emr_u*rld*((1-pv_frac_roof)+pv_frac_roof*emr_u*sigma*tpvlev(id,iz)**4) & + rl_emit=rl_emit-(emr_u*sigma*(1.-pv_frac_roof)*tr_av(id,iz)**4.+0.79*sigma*pv_frac_roof*tpvlev(id,iz)**4+ & + (1-emr_u)*rld*(1.-pv_frac_roof)+(1-0.79)*pv_frac_roof*rld)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu + rl_inc=rl_inc+rld*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu + rs_abs=rs_abs+((1.-albr_u)*rs*(1.-pv_frac_roof)+(1.-0.11)*rs*pv_frac_roof)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu + gfl=(1.-albr_u)*rs*(1-pv_frac_roof)+emr_u*rld*((1-pv_frac_roof)+pv_frac_roof*emr_u*sigma*tpvlev(id,iz)**4) & -emr_u*sigma*(tr_av(id,iz)**4.)+(1-gr_frac_roof)*sfr(id,iz)+(sfrv(id,iz)+lfrv(id,iz))*gr_frac_roof+(1.-gr_frac_roof)*lfr(id,iz) - grdflx_urb=grdflx_urb-gfl*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu + grdflx_urb=grdflx_urb-gfl*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu enddo do iz=1,nzu diff --git a/phys_wrf/module_sf_urban.F b/phys_wrf/module_sf_urban.F index b9f3197..6a7eec5 100644 --- a/phys_wrf/module_sf_urban.F +++ b/phys_wrf/module_sf_urban.F @@ -686,7 +686,7 @@ SUBROUTINE urban(LSOLAR, & ! L SIGMA_ZED = stdh_urb !Calculate Wind Direction and Assign Appropriae lf_urb - !WDR = (180.0/PI)*ATAN2(U10,V10) + WDR = (180.0/PI)*ATAN2(U10,V10) IF(WDR.ge.0.0.and.WDR.lt.22.5)THEN lambda_f = lf_urb(1) @@ -698,7 +698,7 @@ SUBROUTINE urban(LSOLAR, & ! L lambda_f = lf_urb(1) ELSEIF(WDR.gt.22.5.and.WDR.le.67.5)THEN lambda_f = lf_urb(2) - ELSEIF(WDR.ge.-67.5.and.WDR.lt.-22.5)THEN + ELSEIF(WDR.ge.-157.5.and.WDR.lt.-112.5)THEN lambda_f = lf_urb(2) ELSEIF(WDR.gt.67.5.and.WDR.le.112.5)THEN lambda_f = lf_urb(3) @@ -706,7 +706,7 @@ SUBROUTINE urban(LSOLAR, & ! L lambda_f = lf_urb(3) ELSEIF(WDR.gt.112.5.and.WDR.le.157.5)THEN lambda_f = lf_urb(4) - ELSEIF(WDR.ge.-157.5.and.WDR.lt.-112.5)THEN + ELSEIF(WDR.ge.-67.5.and.WDR.lt.-22.5)THEN lambda_f = lf_urb(4) ELSE lambda_f = lf_urb(1) @@ -2008,6 +2008,11 @@ SUBROUTINE urban_param_init(DZR,DZB,DZG,num_soil_layers, & ACTION='READ', & POSITION='REWIND', & IOSTAT=IOSTATUS) + + IF (IOSTATUS > 0) THEN + FATAL_ERROR('Error opening URBPARM.TBL. Make sure URBPARM.TBL (found in run/) is linked to the running directory.') + ENDIF + else OPEN (UNIT=11, & FILE='URBPARM_LCZ.TBL', & @@ -2016,13 +2021,13 @@ SUBROUTINE urban_param_init(DZR,DZB,DZG,num_soil_layers, & ACTION='READ', & POSITION='REWIND', & IOSTAT=IOSTATUS) + + IF (IOSTATUS > 0) THEN + FATAL_ERROR('Error opening URBPARM_LCZ.TBL. Make sure URBPARM_LCZ.TBL (found in run/) is linked to the running directory.') + ENDIF endif - IF (IOSTATUS > 0) THEN - FATAL_ERROR('ERROR OPEN URBPARM.TBL') - ENDIF - READLOOP : do read(11,'(A512)', iostat=iostatus) string if (iostatus /= 0) exit READLOOP @@ -2642,7 +2647,7 @@ SUBROUTINE urban_var_init(ISURBAN, TSURFACE0_URB,TLAYER0_URB,TDEEP0_URB,IVGTYP, !m !FS FRC_URB2D(I,J)=0. UTYPE_URB2D(I,J)=0 - SWITCH_URB=0 + SWITCH_URB=1 IF( IVGTYP(I,J) == ISURBAN) THEN IF(use_wudapt_lcz==0) THEN @@ -2650,406 +2655,35 @@ SUBROUTINE urban_var_init(ISURBAN, TSURFACE0_URB,TLAYER0_URB,TDEEP0_URB,IVGTYP, ELSE UTYPE_URB2D(I,J) = 5 ! for default. high-intensity ENDIF - UTYPE_URB = UTYPE_URB2D(I,J) ! for default. high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF - -!!!!! - IF( IVGTYP(I,J) == LCZ_1) THEN - UTYPE_URB2D(I,J) = 1 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_2) THEN - UTYPE_URB2D(I,J) = 2 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_3) THEN - UTYPE_URB2D(I,J) = 3 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_4) THEN - UTYPE_URB2D(I,J) = 4 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 + ELSE IF( IVGTYP(I,J) == LCZ_1) THEN + UTYPE_URB2D(I,J) = 1 + ELSE IF( IVGTYP(I,J) == LCZ_2) THEN + UTYPE_URB2D(I,J) = 2 + ELSE IF( IVGTYP(I,J) == LCZ_3) THEN + UTYPE_URB2D(I,J) = 3 + ELSE IF( IVGTYP(I,J) == LCZ_4) THEN + UTYPE_URB2D(I,J) = 4 + ELSE IF( IVGTYP(I,J) == LCZ_5) THEN + UTYPE_URB2D(I,J) = 5 + ELSE IF( IVGTYP(I,J) == LCZ_6) THEN + UTYPE_URB2D(I,J) = 6 + ELSE IF( IVGTYP(I,J) == LCZ_7) THEN + UTYPE_URB2D(I,J) = 7 + ELSE IF( IVGTYP(I,J) == LCZ_8) THEN + UTYPE_URB2D(I,J) = 8 + ELSE IF( IVGTYP(I,J) == LCZ_9) THEN + UTYPE_URB2D(I,J) = 9 + ELSE IF( IVGTYP(I,J) == LCZ_10) THEN + UTYPE_URB2D(I,J) = 10 + ELSE IF( IVGTYP(I,J) == LCZ_11) THEN + UTYPE_URB2D(I,J) = 11 + ELSE + SWITCH_URB=0 ENDIF -!!!!! - - - IF( IVGTYP(I,J) == LCZ_5) THEN - UTYPE_URB2D(I,J) = 5 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_6) THEN - UTYPE_URB2D(I,J) = 6 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_7) THEN - UTYPE_URB2D(I,J) = 7 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_8) THEN - UTYPE_URB2D(I,J) = 8 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_9) THEN - UTYPE_URB2D(I,J) = 9 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_10) THEN - UTYPE_URB2D(I,J) = 10 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' - WRITE_MESSAGE(mesg) - LP_URB2D(I,J)=0. - LB_URB2D(I,J)=0. - HGT_URB2D(I,J)=0. - IF ( sf_urban_physics == 1 ) THEN - MH_URB2D(I,J)=0. - STDH_URB2D(I,J)=0. - DO K=1,4 - LF_URB2D(I,K,J)=0. - ENDDO - ELSE IF ( ( sf_urban_physics == 2 ) .or. ( sf_urban_physics == 3 ) ) THEN - DO K=1,num_urban_hi - HI_URB2D(I,K,J)=0. - ENDDO - ENDIF - ENDIF - IF (FRC_URB2D(I,J)>0.and.FRC_URB2D(I,J)<=1.) THEN - CONTINUE - ELSE - WRITE(mesg,*) 'WARNING, FRC_URB2D = 0 BUT IVGTYP IS URBAN' - WRITE_MESSAGE(mesg) - WRITE(mesg,*) 'WARNING, THE URBAN FRACTION WILL BE READ FROM URBPARM.TBL' - WRITE_MESSAGE(mesg) - FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) - ENDIF - SWITCH_URB=1 - ENDIF -!!!!! -!!!!! - IF( IVGTYP(I,J) == LCZ_11) THEN - UTYPE_URB2D(I,J) = 11 ! high-intensity - UTYPE_URB = UTYPE_URB2D(I,J) ! high-intensity - IF (HGT_URB2D(I,J)>0.) THEN + IF (SWITCH_URB == 1) THEN + UTYPE_URB = UTYPE_URB2D(I,J) ! for default. high-intensity + IF (HGT_URB2D(I,J)>0.) THEN CONTINUE ELSE WRITE(mesg,*) 'USING DEFAULT URBAN MORPHOLOGY' @@ -3078,12 +2712,6 @@ SUBROUTINE urban_var_init(ISURBAN, TSURFACE0_URB,TLAYER0_URB,TDEEP0_URB,IVGTYP, WRITE_MESSAGE(mesg) FRC_URB2D(I,J) = FRC_URB_TBL(UTYPE_URB) ENDIF - SWITCH_URB=1 - ENDIF -!!!!! - - IF (SWITCH_URB==1) THEN - CONTINUE ELSE FRC_URB2D(I,J)=0. LP_URB2D(I,J)=0. From 282fa45d09b2fe2183ef04803fd67a020057cd66 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Sun, 29 Jan 2023 16:51:10 -0700 Subject: [PATCH 25/45] bug fix for gfl in bep_bem --- phys_wrf/module_sf_bep_bem.F | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/phys_wrf/module_sf_bep_bem.F b/phys_wrf/module_sf_bep_bem.F index 6649f8b..a9bcf50 100644 --- a/phys_wrf/module_sf_bep_bem.F +++ b/phys_wrf/module_sf_bep_bem.F @@ -5316,7 +5316,7 @@ subroutine upward_rad(ndu,nzu,ws,bs,sigma,pb,ss, & (1-emr_u)*rld*(1.-pv_frac_roof)+(1-0.79)*pv_frac_roof*rld)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu rl_inc=rl_inc+rld*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu rs_abs=rs_abs+((1.-albr_u)*rs*(1.-pv_frac_roof)+(1.-0.11)*rs*pv_frac_roof)*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu - gfl=(1.-albr_u)*rs*(1-pv_frac_roof)+emr_u*rld*((1-pv_frac_roof)+pv_frac_roof*emr_u*sigma*tpvlev(id,iz)**4) & + gfl=(1.-albr_u)*rs*(1-pv_frac_roof)+emr_u*rld*(1-pv_frac_roof)+pv_frac_roof*emr_u*sigma*tpvlev(id,iz)**4 & -emr_u*sigma*(tr_av(id,iz)**4.)+(1-gr_frac_roof)*sfr(id,iz)+(sfrv(id,iz)+lfrv(id,iz))*gr_frac_roof+(1.-gr_frac_roof)*lfr(id,iz) grdflx_urb=grdflx_urb-gfl*ss(iz)*bs(id)/(ws(id)+bs(id))/ndu enddo From 01cc3264964814639df3aa68166bc66cc1a0d7a4 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 17 Feb 2023 21:31:24 -0700 Subject: [PATCH 26/45] update user_build_options files --- hrldas/arch/user_build_options.gfortran.mpi | 25 +++++++++++++++++++ .../arch/user_build_options.gfortran.serial | 2 +- hrldas/arch/user_build_options.ifort.mpi | 4 +-- hrldas/arch/user_build_options.ifort.serial | 4 +-- hrldas/arch/user_build_options.pgf90.mpi | 12 ++++----- hrldas/arch/user_build_options.pgf90.serial | 4 +-- 6 files changed, 38 insertions(+), 13 deletions(-) create mode 100644 hrldas/arch/user_build_options.gfortran.mpi diff --git a/hrldas/arch/user_build_options.gfortran.mpi b/hrldas/arch/user_build_options.gfortran.mpi new file mode 100644 index 0000000..ae8fa12 --- /dev/null +++ b/hrldas/arch/user_build_options.gfortran.mpi @@ -0,0 +1,25 @@ + +#============================================================================================= +# Options for Linux with gnu gfortran MPI +# Please change the library paths according to your computer setup +#============================================================================================= + + COMPILERF90 = mpif90 + MPPFLAG = YES + FREESOURCE = -ffree-form -ffree-line-length-none + F90FLAGS = -g -fconvert=big-endian -fbounds-check -fno-range-check -fallow-argument-mismatch + MODFLAG = -I ../MPP + HYDRO_LIB = ../MPP/mpp_land.o ../MPP/CPL_WRF.o + LDFLAGS = + CPP = cpp + CPPFLAGS = -P -traditional -DMPP_LAND -D_GFORTRAN_ # -DSPATIAL_SOIL + LIBS = + LIBJASPER = -ljasper + INCJASPER = -I/usr/include/jasper + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.8.1/gnu/10.1.0/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.8.1/gnu/10.1.0/lib -lnetcdf -lnetcdff + BZIP2 = NO + BZIP2_INCLUDE = -I/usr/include + BZIP2_LIB = -L/usr/lib64 -lbz2 + RM = rm -f + CC = cc diff --git a/hrldas/arch/user_build_options.gfortran.serial b/hrldas/arch/user_build_options.gfortran.serial index 5fee3af..247e870 100644 --- a/hrldas/arch/user_build_options.gfortran.serial +++ b/hrldas/arch/user_build_options.gfortran.serial @@ -1,6 +1,6 @@ #============================================================================================= -# Options for Linux with gnu gfortran MPI +# Options for Linux with gnu gfortran serial # Please change the library paths according to your computer setup #============================================================================================= diff --git a/hrldas/arch/user_build_options.ifort.mpi b/hrldas/arch/user_build_options.ifort.mpi index 1899cf4..ba9731e 100644 --- a/hrldas/arch/user_build_options.ifort.mpi +++ b/hrldas/arch/user_build_options.ifort.mpi @@ -15,8 +15,8 @@ LIBS = LIBJASPER = -ljasper INCJASPER = -I/usr/include/jasper - NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.4.1.1/intel/17.0.1/include - NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.4.1.1/intel/17.0.1/lib -lnetcdf -lnetcdff + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/lib -lnetcdf -lnetcdff BZIP2 = NO BZIP2_INCLUDE = -I/usr/include BZIP2_LIB = -L/usr/lib64 -lbz2 diff --git a/hrldas/arch/user_build_options.ifort.serial b/hrldas/arch/user_build_options.ifort.serial index 26bd8d8..3b744bc 100644 --- a/hrldas/arch/user_build_options.ifort.serial +++ b/hrldas/arch/user_build_options.ifort.serial @@ -13,8 +13,8 @@ LIBS = LIBJASPER = -ljasper INCJASPER = -I/usr/include/jasper - NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.4.1.1/intel/17.0.1/include - NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.4.1.1/intel/17.0.1/lib -lnetcdf -lnetcdff + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/lib -lnetcdf -lnetcdff BZIP2 = NO BZIP2_INCLUDE = -I/usr/include BZIP2_LIB = -L/usr/lib64 -lbz2 diff --git a/hrldas/arch/user_build_options.pgf90.mpi b/hrldas/arch/user_build_options.pgf90.mpi index 6a2a3b4..4e548c0 100644 --- a/hrldas/arch/user_build_options.pgf90.mpi +++ b/hrldas/arch/user_build_options.pgf90.mpi @@ -7,17 +7,17 @@ COMPILERF90 = mpif90 MPPFLAG = YES FREESOURCE = -Mfree - F90FLAGS = -g -byteswapio -Kieee + F90FLAGS = -g -byteswapio -Kieee MODFLAG = -I ../MPP HYDRO_LIB = ../MPP/mpp_land.o ../MPP/CPL_WRF.o LDFLAGS = CPP = cpp - CPPFLAGS = -P -traditional -DMPP_LAND + CPPFLAGS = -P -traditional -DMPP_LAND # -DSPATIAL_SOIL LIBS = - LIBJASPER = -ljpeg -L/usr/lib -ljasper - INCJASPER = -I/usr/include - NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.7.3/pgi/19.3/include - NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.7.3/pgi/19.3/lib -lnetcdf -lnetcdff + LIBJASPER = -ljasper + INCJASPER = -I/usr/include/jasper + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.7.4/pgi/20.4/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.7.4/pgi/20.4/lib -lnetcdf -lnetcdff BZIP2 = NO BZIP2_LIB = -L/usr/lib64 -lbz2 BZIP2_INCLUDE = -I/usr/include diff --git a/hrldas/arch/user_build_options.pgf90.serial b/hrldas/arch/user_build_options.pgf90.serial index c56d890..f2b474b 100644 --- a/hrldas/arch/user_build_options.pgf90.serial +++ b/hrldas/arch/user_build_options.pgf90.serial @@ -14,8 +14,8 @@ LIBS = LIBJASPER = -ljpeg -L/usr/lib -ljasper INCJASPER = -I/usr/include - NETCDFMOD = -I/usr/local/netcdf4-pgi/include - NETCDFLIB = -L/usr/local/netcdf4-pgi/lib -lnetcdf -lnetcdff + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.7.4/pgi/20.4/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.7.4/pgi/20.4/lib -lnetcdf -lnetcdff BZIP2 = NO BZIP2_LIB = -lbz2 BZIP2_INCLUDE = -I/usr/include From 8ff3ca61c16ff1f49e76c553d274276c2a03282a Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 24 Feb 2023 11:31:14 -0700 Subject: [PATCH 27/45] +1 to (i,j) loop in groundwater_init to include the outermost grids --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 423656d..c202329 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -2327,7 +2327,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) QLATXY , qslatxy , QRFXY , qrfsxy , & deeprechxy , rechxy , QSPRINGXY , qspringsxy, & rechclim , & - ids,ide, jds,jde, kds,kde, & + ids,ide+1, jds,jde+1, kds,kde, & ims,ime, jms,jme, kms,kme, & ims,ime, jms,jme, kms,kme, & its,ite, jts,jte, kts,kte ) From a631faaad1c9f0dc8610268de029be4b11ce054a Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Thu, 9 Mar 2023 14:34:04 -0700 Subject: [PATCH 28/45] bug fix bug fix for SLUCM initialization & CHS calc --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 236 +++++++++---------- phys_wrf/module_sf_urban.F | 6 +- 2 files changed, 121 insertions(+), 121 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index c202329..6e49a89 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -1728,124 +1728,124 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) LOCTIM = undefined_real IF(SF_URBAN_PHYSICS > 0 ) THEN ! any urban model - HRANG = undefined_real - DECLIN = undefined_real - sh_urb2d = undefined_real - lh_urb2d = undefined_real - g_urb2d = undefined_real - rn_urb2d = undefined_real - ts_urb2d = undefined_real - GMT = undefined_real - JULDAY = undefined_int - frc_urb2d = undefined_real - utype_urb2d= undefined_int - lp_urb2d = undefined_real - lb_urb2d = undefined_real - hgt_urb2d = undefined_real - ust = undefined_real - cmr_sfcdif = undefined_real - chr_sfcdif = undefined_real - cmc_sfcdif = undefined_real - chc_sfcdif = undefined_real - cmgr_sfcdif= undefined_real - chgr_sfcdif= undefined_real - tr_urb2d = undefined_real - tb_urb2d = undefined_real - tg_urb2d = undefined_real - tc_urb2d = undefined_real - qc_urb2d = undefined_real - uc_urb2d = undefined_real - xxxr_urb2d = undefined_real - xxxb_urb2d = undefined_real - xxxg_urb2d = undefined_real - xxxc_urb2d = undefined_real - trl_urb3d = undefined_real - tbl_urb3d = undefined_real - tgl_urb3d = undefined_real - psim_urb2d = undefined_real - psih_urb2d = undefined_real - u10_urb2d = undefined_real - v10_urb2d = undefined_real - GZ1OZ0_urb2d = undefined_real - AKMS_URB2D = undefined_real - th2_urb2d = undefined_real - q2_urb2d = undefined_real - ust_urb2d = undefined_real - dzr = undefined_real - dzb = undefined_real - dzg = undefined_real - cmcr_urb2d = undefined_real - tgr_urb2d = undefined_real - tgrl_urb3d = undefined_real - smr_urb3d = undefined_real - drelr_urb2d= undefined_real - drelb_urb2d= undefined_real - drelg_urb2d= undefined_real - flxhumr_urb2d = undefined_real - flxhumb_urb2d = undefined_real - flxhumg_urb2d = undefined_real - chs = undefined_real - chs2 = undefined_real - cqs2 = undefined_real - mh_urb2d = undefined_real - stdh_urb2d = undefined_real - lf_urb2d = undefined_real - trb_urb4d = undefined_real - tw1_urb4d = undefined_real - tw2_urb4d = undefined_real - tgb_urb4d = undefined_real - sfw1_urb3d = undefined_real - sfw2_urb3d = undefined_real - sfr_urb3d = undefined_real - sfg_urb3d = undefined_real - hi_urb2d = undefined_real - theta_urban= undefined_real - u_urban = undefined_real - v_urban = undefined_real - dz_urban = undefined_real - rho_urban = undefined_real - p_urban = undefined_real - a_u_bep = undefined_real - a_v_bep = undefined_real - a_t_bep = undefined_real - a_q_bep = undefined_real - a_e_bep = undefined_real - b_u_bep = undefined_real - b_v_bep = undefined_real - b_t_bep = undefined_real - b_q_bep = undefined_real - b_e_bep = undefined_real - dlg_bep = undefined_real - dl_u_bep = undefined_real - sf_bep = undefined_real - vl_bep = undefined_real - tlev_urb3d = undefined_real - qlev_urb3d = undefined_real - tw1lev_urb3d = undefined_real - tw2lev_urb3d = undefined_real - tglev_urb3d= undefined_real - tflev_urb3d= undefined_real - sf_ac_urb3d= undefined_real - lf_ac_urb3d= undefined_real - cm_ac_urb3d= undefined_real - sfvent_urb3d = undefined_real - lfvent_urb3d = undefined_real - sfwin1_urb3d = undefined_real - sfwin2_urb3d = undefined_real - ep_pv_urb3d= undefined_real - t_pv_urb3d = undefined_real - trv_urb4d = undefined_real - qr_urb4d = undefined_real - qgr_urb3d = undefined_real - tgr_urb3d = undefined_real - drain_urb4d= undefined_real - draingr_urb3d = undefined_real - sfrv_urb3d = undefined_real - lfrv_urb3d = undefined_real - dgr_urb3d = undefined_real - dg_urb3d = undefined_real - lfr_urb3d = undefined_real - lfg_urb3d = undefined_real + HRANG = -999.0 + DECLIN = -999.0 + sh_urb2d = -999.0 + lh_urb2d = -999.0 + g_urb2d = -999.0 + rn_urb2d = -999.0 + ts_urb2d = -999.0 + GMT = -999.0 + JULDAY = -999 + frc_urb2d = -999.0 + utype_urb2d= -999 + lp_urb2d = -999.0 + lb_urb2d = -999.0 + hgt_urb2d = -999.0 + ust = -999.0 + cmr_sfcdif = 1.0e-4 + chr_sfcdif = 1.0e-4 + cmc_sfcdif = 1.0e-4 + chc_sfcdif = 1.0e-4 + cmgr_sfcdif= 1.0e-4 + chgr_sfcdif= 1.0e-4 + tr_urb2d = -999.0 + tb_urb2d = -999.0 + tg_urb2d = -999.0 + tc_urb2d = -999.0 + qc_urb2d = -999.0 + uc_urb2d = -999.0 + xxxr_urb2d = -999.0 + xxxb_urb2d = -999.0 + xxxg_urb2d = -999.0 + xxxc_urb2d = -999.0 + trl_urb3d = -999.0 + tbl_urb3d = -999.0 + tgl_urb3d = -999.0 + psim_urb2d = -999.0 + psih_urb2d = -999.0 + u10_urb2d = -999.0 + v10_urb2d = -999.0 + GZ1OZ0_urb2d = -999.0 + AKMS_URB2D = -999.0 + th2_urb2d = -999.0 + q2_urb2d = -999.0 + ust_urb2d = -999.0 + dzr = -999.0 + dzb = -999.0 + dzg = -999.0 + cmcr_urb2d = -999.0 + tgr_urb2d = -999.0 + tgrl_urb3d = -999.0 + smr_urb3d = -999.0 + drelr_urb2d= -999.0 + drelb_urb2d= -999.0 + drelg_urb2d= -999.0 + flxhumr_urb2d = -999.0 + flxhumb_urb2d = -999.0 + flxhumg_urb2d = -999.0 + chs = 1.0e-4 + chs2 = 1.0e-4 + cqs2 = 1.0e-4 + mh_urb2d = -999.0 + stdh_urb2d = -999.0 + lf_urb2d = -999.0 + trb_urb4d = -999.0 + tw1_urb4d = -999.0 + tw2_urb4d = -999.0 + tgb_urb4d = -999.0 + sfw1_urb3d = -999.0 + sfw2_urb3d = -999.0 + sfr_urb3d = -999.0 + sfg_urb3d = -999.0 + hi_urb2d = -999.0 + theta_urban= -999.0 + u_urban = -999.0 + v_urban = -999.0 + dz_urban = -999.0 + rho_urban = -999.0 + p_urban = -999.0 + a_u_bep = -999.0 + a_v_bep = -999.0 + a_t_bep = -999.0 + a_q_bep = -999.0 + a_e_bep = -999.0 + b_u_bep = -999.0 + b_v_bep = -999.0 + b_t_bep = -999.0 + b_q_bep = -999.0 + b_e_bep = -999.0 + dlg_bep = -999.0 + dl_u_bep = -999.0 + sf_bep = -999.0 + vl_bep = -999.0 + tlev_urb3d = -999.0 + qlev_urb3d = -999.0 + tw1lev_urb3d = -999.0 + tw2lev_urb3d = -999.0 + tglev_urb3d= -999.0 + tflev_urb3d= -999.0 + sf_ac_urb3d= -999.0 + lf_ac_urb3d= -999.0 + cm_ac_urb3d= -999.0 + sfvent_urb3d = -999.0 + lfvent_urb3d = -999.0 + sfwin1_urb3d = -999.0 + sfwin2_urb3d = -999.0 + ep_pv_urb3d= -999.0 + t_pv_urb3d = -999.0 + trv_urb4d = -999.0 + qr_urb4d = -999.0 + qgr_urb3d = -999.0 + tgr_urb3d = -999.0 + drain_urb4d= -999.0 + draingr_urb3d = -999.0 + sfrv_urb3d = -999.0 + lfrv_urb3d = -999.0 + dgr_urb3d = -999.0 + dg_urb3d = -999.0 + lfr_urb3d = -999.0 + lfg_urb3d = -999.0 ENDIF diff --git a/phys_wrf/module_sf_urban.F b/phys_wrf/module_sf_urban.F index 6a7eec5..c03217d 100644 --- a/phys_wrf/module_sf_urban.F +++ b/phys_wrf/module_sf_urban.F @@ -376,7 +376,7 @@ SUBROUTINE urban(LSOLAR, & ! L REAL, INTENT(IN) :: XLAT ! latitude [deg] REAL, INTENT(IN) :: DELT ! time step [s] - REAL, INTENT(IN) :: CHS,CHS2 ! CH*U at za and 2 m [m/s] + REAL, INTENT(INOUT) :: CHS,CHS2 ! CH*U at za and 2 m [m/s] REAL, INTENT(INOUT) :: SSGD ! downward direct short wave radiation [W/m/m] REAL, INTENT(INOUT) :: SSGQ ! downward diffuse short wave radiation [W/m/m] @@ -1534,7 +1534,7 @@ SUBROUTINE urban(LSOLAR, & ! L CD = 0.4**2./(ALOG(Z/Z0)-PSIM)**2. ! !m CH = 0.4**2./(ALOG(Z/Z0)-PSIM)/(ALOG(Z/Z0H)-PSIH) -!m CHS = 0.4*UST/(ALOG(Z/Z0H)-PSIH) + CHS = 0.4*UST/(ALOG(Z/Z0H)-PSIH) !cenlin: uncomment to allow CHS2 calc for offline hrldas-urban !m TS = TA + FLXTH/CH/UA ! surface potential temp (flux temp) !m QS = QA + FLXHUM/CH/UA ! surface humidity ! @@ -1558,7 +1558,7 @@ SUBROUTINE urban(LSOLAR, & ! L PSIH2 = 2.*ALOG((1.+X*X)/2.) END IF ! -!m CHS2 = 0.4*UST/(ALOG(2./Z0H)-PSIH2) + CHS2 = 0.4*UST/(ALOG(2./Z0H)-PSIH2) !cenlin: uncomment to allow CHS2 calc for offline hrldas-urban ! XXX10 = (10./Z)*XXX From a6d52c61a3ac6f14e30e56ad9966836afe4dce41 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 10 Mar 2023 11:14:44 -0700 Subject: [PATCH 29/45] release of version 5.0 --- hrldas/HRLDAS_forcing/create_forcing_netcdf.F | 2953 ------------ .../run/examples/GLDAS/GLDAS_ELEVATION.grb.gz | Bin 458156 -> 0 bytes .../run/examples/GLDAS/combine_precips.f90 | 67 - .../run/examples/GLDAS/combine_precips.perl | 58 - .../run/examples/GLDAS/create_UV.f90 | 63 - .../run/examples/GLDAS/create_UV.perl | 61 - .../run/examples/GLDAS/extract_gldas.perl | 67 - .../examples/GLDAS/extract_gldas_init.perl | 27 - .../run/examples/GLDAS/gribtab_GLDAS_NOAH.gtb | 27 - hrldas/IO_code/Makefile | 4 +- hrldas/IO_code/main_hrldas_driver.F | 4 +- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 4079 +++++------------ hrldas/IO_code/module_hrldas_netcdf_io.F | 61 +- hrldas/Makefile | 15 +- ...s.pgf90.mpi => user_build_options.pgi.mpi} | 0 ...0.serial => user_build_options.pgi.serial} | 0 hrldas/docs/README.vector | 2 +- hrldas/run/GENPARM.TBL | 1 - hrldas/run/MPTABLE.TBL | 1 - hrldas/run/Makefile | 171 +- hrldas/run/NoahmpTable.TBL | 1 + hrldas/run/README.namelist | 142 +- hrldas/run/SOILPARM.TBL | 1 - hrldas/run/URBPARM.TBL | 559 +-- hrldas/run/URBPARM_LCZ.TBL | 648 +-- hrldas/run/URBPARM_UZE.TBL | 416 +- hrldas/run/namelist.hrldas_example | 76 + hrldas/user_build_options | 24 + noahmp | 2 +- phys_wrf/Makefile | 54 - phys_wrf/module_sf_gecros.F | 2411 ---------- phys_wrf/module_sf_noahmp_glacier.F | 1 - phys_wrf/module_sf_noahmp_groundwater.F | 1 - phys_wrf/module_sf_noahmpdrv.F | 1 - urban/wrf/Makefile | 46 + urban/wrf/NoahmpUrbanDriverMainMod.F | 790 ++++ urban/wrf/URBPARM.TBL | 558 +++ urban/wrf/URBPARM_LCZ.TBL | 647 +++ urban/wrf/URBPARM_UZE.TBL | 415 ++ .../wrf}/module_bep_bem_helper.F | 0 {phys_wrf => urban/wrf}/module_sf_bem.F | 0 {phys_wrf => urban/wrf}/module_sf_bep.F | 0 {phys_wrf => urban/wrf}/module_sf_bep_bem.F | 0 {phys_wrf => urban/wrf}/module_sf_urban.F | 10 +- 44 files changed, 4015 insertions(+), 10449 deletions(-) delete mode 100644 hrldas/HRLDAS_forcing/create_forcing_netcdf.F delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/GLDAS_ELEVATION.grb.gz delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/combine_precips.f90 delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/combine_precips.perl delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.f90 delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.perl delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas.perl delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas_init.perl delete mode 100644 hrldas/HRLDAS_forcing/run/examples/GLDAS/gribtab_GLDAS_NOAH.gtb rename hrldas/arch/{user_build_options.pgf90.mpi => user_build_options.pgi.mpi} (100%) rename hrldas/arch/{user_build_options.pgf90.serial => user_build_options.pgi.serial} (100%) delete mode 120000 hrldas/run/GENPARM.TBL delete mode 120000 hrldas/run/MPTABLE.TBL create mode 120000 hrldas/run/NoahmpTable.TBL delete mode 120000 hrldas/run/SOILPARM.TBL mode change 100644 => 120000 hrldas/run/URBPARM.TBL mode change 100644 => 120000 hrldas/run/URBPARM_LCZ.TBL mode change 100644 => 120000 hrldas/run/URBPARM_UZE.TBL create mode 100644 hrldas/run/namelist.hrldas_example create mode 100644 hrldas/user_build_options delete mode 100644 phys_wrf/Makefile delete mode 100644 phys_wrf/module_sf_gecros.F delete mode 120000 phys_wrf/module_sf_noahmp_glacier.F delete mode 120000 phys_wrf/module_sf_noahmp_groundwater.F delete mode 120000 phys_wrf/module_sf_noahmpdrv.F create mode 100644 urban/wrf/Makefile create mode 100644 urban/wrf/NoahmpUrbanDriverMainMod.F create mode 100644 urban/wrf/URBPARM.TBL create mode 100644 urban/wrf/URBPARM_LCZ.TBL create mode 100644 urban/wrf/URBPARM_UZE.TBL rename {phys_wrf => urban/wrf}/module_bep_bem_helper.F (100%) rename {phys_wrf => urban/wrf}/module_sf_bem.F (100%) rename {phys_wrf => urban/wrf}/module_sf_bep.F (100%) rename {phys_wrf => urban/wrf}/module_sf_bep_bem.F (100%) rename {phys_wrf => urban/wrf}/module_sf_urban.F (99%) diff --git a/hrldas/HRLDAS_forcing/create_forcing_netcdf.F b/hrldas/HRLDAS_forcing/create_forcing_netcdf.F deleted file mode 100644 index 071fb29..0000000 --- a/hrldas/HRLDAS_forcing/create_forcing_netcdf.F +++ /dev/null @@ -1,2953 +0,0 @@ -module variables - - type string - - character(len=:), allocatable :: str - - end type string - -end module variables - -program create_forcing - use netcdf - use module_grib - use module_geo_em - use kwm_grid_utilities - use kwm_date_utilities - use kwm_string_utilities - use variables - implicit none - - character(len=9), parameter :: version = "v20200426" - - character(len=256) :: namelist_file - character(len=13) :: date - - type (geo_em_type) :: geo_em - - - integer, parameter :: MAXTEMPLATE = 10 - - type DataBuffer - character(len=256) :: label - character(len=256) :: units - real, pointer, dimension(:,:) :: field - character(len=19) :: hdate ! A punctuated date, out to seconds. - character(len=256), dimension(MAXTEMPLATE) :: flnm_template - real :: layer1 - real :: layer2 - character(len=4) :: remap_type - integer :: fatality ! How we may or may not handle missing data. - end type DataBuffer - - type VtableEntry - integer :: g1_parm - integer :: g1_levtyp - integer :: level1 - integer :: level2 - character(len=32) :: name - character(len=32) :: units - character(len=32) :: desc - integer :: g2_discp - integer :: g2_cat - integer :: g2_parm - integer :: g2_levtyp - end type VtableEntry - - type(VtableEntry), dimension(64) :: vtable - integer :: vtable_count - - type (DataBuffer) :: Tprev, Tcurrent, Tpost - type (DataBuffer) :: Qprev, Qcurrent, Qpost - type (DataBuffer) :: Pprev, Pcurrent, Ppost - type (DataBuffer) :: Uprev, Ucurrent, Upost - type (DataBuffer) :: Vprev, Vcurrent, Vpost - type (DataBuffer) :: LWprev, LWcurrent, LWpost - type (DataBuffer) :: SW1prev, SW1current, SW1post - type (DataBuffer) :: SW2prev, SW2current, SW2post - type (DataBuffer) :: PCP1prev, PCP1current, PCP1post - type (DataBuffer) :: PCP2prev, PCP2current, PCP2post - type (DataBuffer) :: Hprev, Hcurrent, Hpost - - type (DataBuffer) :: WEASDprev, WEASDcurrent, WEASDpost - type (DataBuffer) :: CANWTprev, CANWTcurrent, CANWTpost - type (DataBuffer) :: SKTprev, SKTcurrent, SKTpost - type (DataBuffer), dimension(4) :: STprev, STcurrent, STpost - type (DataBuffer), dimension(4) :: SMprev, SMcurrent, SMpost - - type (DataBuffer) :: Zcurrent - type (DataBuffer) :: LANDSEA - type (DataBuffer) :: gvfmin - type (DataBuffer) :: gvfmax - type (DataBuffer) :: vegfra - type (DataBuffer) :: lai - - integer, pointer, dimension(:,:) :: tempint ! temporary array - - real , dimension(4) :: dzs, zs - - integer :: i, j - integer :: ierr - character(len=1) :: hgrid - character(len=8) :: name - - integer :: ncid - integer :: ihour - integer :: numarg - integer :: unmatched -#ifndef _GFORTRAN_ - ! For some reason, gfortran does not like this declared external, - ! but everyone else wants it declared external. So we use #ifndef - integer, external :: iargc -#endif - - - ! Namelist variables - character(len=13) :: startdate ! A punctuated date out to hours - character(len=13) :: enddate ! A punctuated date out to hours - character(len=256) :: DataDir - character(len=256) :: OutputDir - character(len=256) :: geo_em_flnm - character(len=256) :: initial_flnm - integer :: rainfall_interp ! 0=Nearest Neighbor; 1=more expensive, grid fill method - integer :: full_ic_frq ! How frequently (hours) to make full surface initial conditions. - ! FULL_IC_FRC==0 means do this only at the startdate. - ! FULL_IC_FRC==-1 means never make full surface initial conditions. - logical :: rescale_shortwave - logical :: update_snow - logical :: forcing_height_2d - logical :: truncate_sw - integer :: expand_loop - logical :: init_lai - logical :: vary_lai - logical :: mask_water - character(len=256), dimension(MAXTEMPLATE) :: Tfile_template ! T forcing - character(len=256), dimension(MAXTEMPLATE) :: Qfile_template ! Q forcing - character(len=256), dimension(MAXTEMPLATE) :: Pfile_template ! P forcing - character(len=256), dimension(MAXTEMPLATE) :: Ufile_template ! U forcing - character(len=256), dimension(MAXTEMPLATE) :: Vfile_template ! V forcing - character(len=256), dimension(MAXTEMPLATE) :: LWfile_template ! LW forcing - character(len=256), dimension(MAXTEMPLATE) :: SWfile_primary ! SW forcing - character(len=256), dimension(MAXTEMPLATE) :: SWfile_secondary ! Optional SW forcing - character(len=256), dimension(MAXTEMPLATE) :: PCPfile_primary ! Precipitation forcing - character(len=256), dimension(MAXTEMPLATE) :: PCPfile_secondary ! Optional precipitation forcing - character(len=256), dimension(MAXTEMPLATE) :: Hfile_template ! Optional 2D forcing height - - character(len=256), dimension(MAXTEMPLATE) :: WEASDfile_template ! SWE initial field - character(len=256), dimension(MAXTEMPLATE) :: CANWTfile_template ! Canopy water initial field - character(len=256), dimension(MAXTEMPLATE) :: SKINTfile_template ! Skin temperature initial - character(len=256), dimension(4,MAXTEMPLATE) :: STfile_template ! Soil temperature initial - character(len=256), dimension(4,MAXTEMPLATE) :: SMfile_template ! Soil moisture initial - - character(len=256), dimension(MAXTEMPLATE) :: Zfile_template ! source model surface elevation - character(len=256), dimension(MAXTEMPLATE) :: LANDSfile_template ! Land-sea mask from forcing - - - - namelist /files/ startdate, enddate, DataDir, OutputDir, & - geo_em_flnm, & - rainfall_interp, full_ic_frq, rescale_shortwave, & - update_snow, forcing_height_2d, & - truncate_sw, expand_loop, & - init_lai, vary_lai,mask_water, & - Tfile_template, Qfile_template, Pfile_template, & - Ufile_template, Vfile_template, LWfile_template, & - SWfile_primary, SWfile_secondary, PCPfile_primary, & - PCPfile_secondary, Hfile_template, WEASDfile_template,& - CANWTfile_template, SKINTfile_template, STfile_template, & - SMfile_template, Zfile_template, LANDSfile_template - - - full_ic_frq = 0 - rainfall_interp = 1 - rescale_shortwave = .FALSE. - update_snow = .FALSE. - forcing_height_2d = .FALSE. - truncate_sw = .FALSE. - init_lai = .FALSE. - vary_lai = .FALSE. - mask_water = .FALSE. - expand_loop = 0 - Tfile_template = " " - Qfile_template = " " - Pfile_template = " " - Ufile_template = " " - Vfile_template = " " - LWfile_template = " " - SWfile_primary = " " - SWfile_secondary = " " - PCPfile_primary = " " - PCPfile_secondary = " " - Hfile_template = " " - WEASDfile_template = " " - CANWTfile_template = " " - SKINTfile_template = " " - STfile_template = " " - SMfile_template = " " - Zfile_template = " " - LANDSfile_template = " " - - -!-------------------------------------------------------------------------- -! Read namelist -!-------------------------------------------------------------------------- - - numarg = iargc() - if (numarg > 0) then - call getarg(1, namelist_file) - else - namelist_file = "namelist.input" - endif - - open(12,file=trim(namelist_file), form='formatted', action='read', status='old', iostat=ierr) - if (ierr /= 0) then - write(*,*) - write(*,'(" ***** Failure trying to open file ''", A, "''")') trim(namelist_file) - write(*,*) - write(*,'("Program takes an optional command-line argument, the name of the namelist file.")') - if ( numarg > 0 ) then - write(*,'("In this case, you provided the name ''", A, "''")') trim(namelist_file) - endif - write(*,*) - write(*,'("With no command-line argument, program expects the namelist file to be")') - write(*,'("called ''namelist.input'', which must be present in the working directory. ")') - write(*,*) - stop - endif - read(12,files) - close(12) - -!-------------------------------------------------------------------------- -! Read Vtable -!-------------------------------------------------------------------------- - - call read_vtable(trim(namelist_file)) ! subroutine below - -!-------------------------------------------------------------------------- -! Begin to fill in our file name template strings -!-------------------------------------------------------------------------- - - do j = 1, maxtemplate - call strrep( Tfile_template(j), "", trim(DataDir)) - call strrep( Qfile_template(j), "", trim(DataDir)) - call strrep( Pfile_template(j), "", trim(DataDir)) - call strrep( Ufile_template(j), "", trim(DataDir)) - call strrep( Vfile_template(j), "", trim(DataDir)) - call strrep( LWfile_template(j), "", trim(DataDir)) - call strrep( SWfile_primary(j), "", trim(DataDir)) - call strrep( SWfile_secondary(j), "", trim(DataDir)) - call strrep( PCPfile_primary(j), "", trim(DataDir)) - call strrep( PCPfile_secondary(j), "", trim(DataDir)) - call strrep( Hfile_template(j), "", trim(DataDir)) - call strrep(WEASDfile_template(j), "", trim(DataDir)) - call strrep(CANWTfile_template(j), "", trim(DataDir)) - call strrep(SKINTfile_template(j), "", trim(DataDir)) - do i = 1, 4 - call strrep(STfile_template(i,j), "", trim(DataDir)) - call strrep(SMfile_template(i,j), "", trim(DataDir)) - enddo - call strrep( Zfile_template(j), "", trim(DataDir)) - call strrep(LANDSfile_template(j), "", trim(DataDir)) - enddo - -!------------------------------------------------------------------------ -! Read the geo_em file -!------------------------------------------------------------------------ - - call strrep(geo_em_flnm, "", trim(DataDir)) - write(*,'(A)') 'geo_em_flnm = "'//trim(geo_em_flnm)//'"' - - call read_geo_em_file(trim(geo_em_flnm), geo_em, ierr) - if (ierr /= 0) stop "Problem reading geo_em file" - write(hgrid,'(I1)') geo_em%grid_id - - nullify(gvfmin%field) - nullify(gvfmax%field) - nullify(vegfra%field) - allocate(gvfmin%field(geo_em%idim, geo_em%jdim)) - allocate(gvfmax%field(geo_em%idim, geo_em%jdim)) - allocate(vegfra%field(geo_em%idim, geo_em%jdim)) - if(vary_lai .or. init_lai) allocate(lai%field(geo_em%idim, geo_em%jdim)) - - gvfmin%field(:,:) = minval(geo_em%veg,3) - gvfmax%field(:,:) = maxval(geo_em%veg,3) - -! Not certain why the following is necessary since we are simulating over the WRF points -! so they should have been filled properly already, commenting (Barlage 20140529) - -! call fillsm(gvfmin%field, (geo_em%use /= geo_em%iswater), geo_em%idim, geo_em%jdim) -! call fillsm(gvfmax%field, (geo_em%use /= geo_em%iswater), geo_em%idim, geo_em%jdim) - - where (gvfmin%field < 0.0) gvfmin%field = 0.0 - where (gvfmax%field < 0.0) gvfmax%field = 0.0 - -!-------------------------------------------------------------------------- -! Data buffer structure initializations -!-------------------------------------------------------------------------- - - call data_buffer_init( Tprev, Tcurrent, Tpost, Tfile_template,"bint", "T2D" ) - call data_buffer_init( Qprev, Qcurrent, Qpost, Qfile_template,"bint", "Q2D" ) - call data_buffer_init( Pprev, Pcurrent, Ppost, Pfile_template,"bint", "PSFC" ) - call data_buffer_init( Uprev, Ucurrent, Upost, Ufile_template,"bint", "U2D" ) - call data_buffer_init( Vprev, Vcurrent, Vpost, Vfile_template,"bint", "V2D" ) - call data_buffer_init( LWprev, LWcurrent, LWpost, LWfile_template,"bint", "LWDOWN" ) - call data_buffer_init( SW1prev, SW1current, SW1post, SWfile_primary,"bint", "SWDOWN" ,fatality=2) - call data_buffer_init( SW2prev, SW2current, SW2post, SWfile_secondary,"bint", "SWDOWN" ) - call data_buffer_init( PCP1prev, PCP1current, PCP1post, PCPfile_primary, "4pt", "RAINRATE",fatality=2) - call data_buffer_init( PCP2prev, PCP2current, PCP2post, PCPfile_secondary, "4pt", "RAINRATE" ) - call data_buffer_init( Hprev, Hcurrent, Hpost, Hfile_template,"bint", "ZLVL2D" ) - call data_buffer_init(WEASDprev,WEASDcurrent,WEASDpost, WEASDfile_template,"16pt", "SNOW" ) - call data_buffer_init(CANWTprev,CANWTcurrent,CANWTpost, CANWTfile_template,"16pt", "CANWAT" ) - call data_buffer_init( SKTprev, SKTcurrent, SKTpost, SKINTfile_template,"bint", "TSK" ) - do i = 1, 4 - write(name, '("STEMP_",i1)') i - call data_buffer_init( STprev(i), STcurrent(i), STpost(i), STfile_template(i,:), "16pt", name ) - write(name, '("SMOIS_",i1)') i - call data_buffer_init( SMprev(i), SMcurrent(i), SMpost(i), SMfile_template(i,:), "16pt", name ) - enddo - - Zcurrent%label = "TERRAIN" - Zcurrent%hdate = "0000-00-00_00:00:00" - Zcurrent%flnm_template = Zfile_template - - LANDSEA%label = "LANDSEA" - LANDSEA%hdate = "0000-00-00_00:00:00" - LANDSEA%flnm_template = LANDSfile_template - - gvfmin%label = "SHDMIN" - gvfmin%units = "%" - gvfmin%layer1 = -1.E36 - gvfmin%layer2 = -1.E36 - - gvfmax%label = "SHDMAX" - gvfmax%units = "%" - gvfmax%layer1 = -1.E36 - gvfmax%layer2 = -1.E36 - - vegfra%label = "VEGFRA" - vegfra%units = "%" - vegfra%layer1 = -1.E36 - vegfra%layer2 = -1.E36 - - if(vary_lai .or. init_lai) then - lai%label = "LAI" - lai%units = "m^2/m^2" - lai%layer1 = -1.E36 - lai%layer2 = -1.E36 - end if - -!-------------------------------------------------------------------------- -! Loop DATELOOP is the main loop over time. -!-------------------------------------------------------------------------- - - date = startdate - - DATELOOP : do while ( date <= enddate ) - - call geth_idts(date(1:13), startdate(1:13), ihour) - - print*, 'Date = ', Date, " ihour = ", ihour - - call interpolate_vegetation("VEGFRA", date, geo_em%idim, geo_em%jdim, geo_em%veg, vegfra%field) - - if(vary_lai) call interpolate_vegetation("LAI", date, geo_em%idim, geo_em%jdim, geo_em%lai, lai%field) - -! Not certain why the following is necessary since we are simulating over the WRF points -! so they should have been filled properly already, commenting (Barlage 20140529) -! call fillsm(vegfra%field, (geo_em%use /= geo_em%iswater), geo_em%idim, geo_em%jdim) - - call process(date, Tcurrent, Tprev, Tpost, geo_em, expand_loop) - call process(date, Qcurrent, Qprev, Qpost, geo_em, expand_loop) - call process(date, Pcurrent, Pprev, Ppost, geo_em, expand_loop) - call process(date, Ucurrent, Uprev, Upost, geo_em, expand_loop) - call process(date, Vcurrent, Vprev, Vpost, geo_em, expand_loop) - call process(date, LWcurrent, LWprev, LWpost, geo_em, expand_loop) - call process(date, SW1current, SW1prev, SW1post, geo_em, expand_loop) - call process(date, SW2current, SW2prev, SW2post, geo_em, expand_loop) - call process(date, PCP1current, PCP1prev, PCP1post, geo_em, expand_loop) - call process(date, PCP2current, PCP2prev, PCP2post, geo_em, expand_loop) - if(forcing_height_2d) call process(date, Hcurrent, Hprev, Hpost, geo_em, expand_loop) - - call open_netcdf_for_output( & - trim(OutputDir)//date(1:4)//date(6:7)//date(9:10)//date(12:13)//".LDASIN_DOMAIN"//hgrid, & - ncid, version, geo_em%idim, geo_em%jdim, geo_em, .false.) - - ! For output, the Tcurrent%field needs to be readjusted to model elevation - Tcurrent%field = Tcurrent%field + ( -0.0065 * geo_em%ter ) - - ! Fill in missing areas in PCP1 with data from PCP2 - where (PCP2current%field <=0) PCP2current%field=0 - where (PCP1current%field <-1.E25) PCP1current%field=PCP2current%field - where (PCP1current%field <=0) PCP1current%field=0 - - ! Fill in missing areas in SW1 with data from SW2 - where (SW2current%field <= 0) SW2current%field = 0 - where (SW1current%field <= 0) SW1current%field = SW2current%field - where (SW1current%field <= 0) SW1current%field = 0 - - ! If the sun isn't up, there shouldn't be any SW. - ! This may be a little extreme (ignores atmospheric refraction effects, e.g.); it - ! causes an awfully abrupt terminator. Will have to consider. - - if (truncate_sw) & - call nighttime_SW(SW1current%hdate, SW1current%field, geo_em%idim, geo_em%jdim, geo_em) - - if (mask_water) then - where(geo_em%use == geo_em%iswater) Tcurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) Qcurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) Pcurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) Ucurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) Vcurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) LWcurrent%field = -1.e36 - where(geo_em%use == geo_em%iswater) SW1current%field = -1.e36 - where(geo_em%use == geo_em%iswater) PCP1current%field = -1.e36 - if(forcing_height_2d) where(geo_em%use == geo_em%iswater) Hcurrent%field = -1.e36 - end if - - if(date == startdate) then ! Do a quick test to see if any valid land points have problems - unmatched = count(Tcurrent%field < -1.e30 .and. geo_em%use /= geo_em%iswater) - if(unmatched > 0) then - print *, "You have this many undefined T points over valid land points: ", unmatched - print *, "This tends to happen around coastlines or for unresolved islands in your forcing data" - print *, "===== Consider increasing expand_loop in namelist =====" - print *, "However, this may also occur if your forcing source does not cover your domain." - stop - end if - end if - - call output_databuffer(ncid, Tcurrent) - call output_databuffer(ncid, Qcurrent) - call output_databuffer(ncid, Pcurrent) - call output_databuffer(ncid, Ucurrent) - call output_databuffer(ncid, Vcurrent) - call output_databuffer(ncid, LWcurrent) - call output_databuffer(ncid, SW1current) - call output_databuffer(ncid, PCP1current) - if(forcing_height_2d) call output_databuffer(ncid, Hcurrent) - - if (date(12:13) == "00" .and. update_snow) then - where (WEASDcurrent%field < 0) WEASDcurrent%field = 0.0 - where (geo_em%use == geo_em%iswater) WEASDcurrent%field = 0.0 - call output_databuffer(ncid, WEASDcurrent) - endif - - if (date(12:13) == "00") then - where (geo_em%use == geo_em%iswater .or. geo_em%use == geo_em%islake) vegfra%field = 0.0 - call output_databuffer(ncid, vegfra) - endif - - if (date(12:13) == "00" .and. vary_lai) then - where (geo_em%use == geo_em%iswater .or. geo_em%use == geo_em%islake) lai%field = 0.0 - call output_databuffer(ncid, lai) - endif - - ierr = nf90_close(ncid) - call error_handler(ierr, "Problem closing Netcdf file") - - if ( full_ic_frq > -1 ) then ! full_ic_frq == -1 turns off extra processing for initial conditions. - if ( ( (full_ic_frq>0) .and. (mod(ihour, full_ic_frq)==0) ) .or. ( ihour==0 ) ) then - - call open_netcdf_for_output( trim(OutputDir)//"HRLDAS_setup_"//date(1:4)//date(6:7)//date(9:10)//date(12:13)//"_d"//hgrid, & - ncid, version, geo_em%idim, geo_em%jdim, geo_em, .true.) - - call output_timestring_to_netcdf(ncid, date) - - where(geo_em%use == geo_em%iswater .or. geo_em%use == geo_em%islake) geo_em%tmn = -1.e36 - - call output_to_netcdf(ncid, "XLAT", "degree_north", geo_em%lat, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "XLONG", "degree_east" , geo_em%lon, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "TMN", "K" , geo_em%tmn, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "HGT", "m" , geo_em%ter, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "SEAICE", "" , geo_em%ice, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid,"MAPFAC_MX", "" , geo_em%mmx, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid,"MAPFAC_MY", "" , geo_em%mmy, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "SHDMAX", "%" , gvfmax%field, geo_em%idim, geo_em%jdim) - call output_to_netcdf(ncid, "SHDMIN", "%" , gvfmin%field, geo_em%idim, geo_em%jdim) - - if(init_lai) then - call interpolate_vegetation("LAI", date, geo_em%idim, geo_em%jdim, geo_em%lai, lai%field) - call output_to_netcdf(ncid, "LAI", "m^2/m^2" , lai%field, geo_em%idim, geo_em%jdim) - end if - - allocate(tempint(geo_em%idim, geo_em%jdim)) - tempint = int(geo_em%msk) - call output_to_netcdf_int(ncid, "XLAND", "" , tempint, geo_em%idim, geo_em%jdim) - tempint = int(geo_em%use) - call output_to_netcdf_int(ncid,"IVGTYP", "" , tempint, geo_em%idim, geo_em%jdim) - tempint = int(geo_em%soi) - call output_to_netcdf_int(ncid,"ISLTYP", "" , tempint, geo_em%idim, geo_em%jdim) - - - call process(date, WEASDcurrent, WEASDprev, WEASDpost, geo_em, expand_loop); - where (WEASDcurrent%field < 0) WEASDcurrent%field = 0 - call output_databuffer(ncid, WEASDcurrent) - - call process(date, CANWTcurrent, CANWTprev, CANWTpost, geo_em, expand_loop); - where (CANWTcurrent%field < 0) CANWTcurrent%field = 0 - call output_databuffer(ncid, CANWTcurrent) - deallocate(CANWTprev%field, stat=ierr) - deallocate(CANWTcurrent%field, stat=ierr) - deallocate(CANWTpost%field, stat=ierr) - - call process(date, SKTcurrent, SKTprev, SKTpost, geo_em, expand_loop); - call output_databuffer(ncid, SKTcurrent) - deallocate(SKTprev%field, stat=ierr) - deallocate(SKTcurrent%field, stat=ierr) - deallocate(SKTpost%field, stat=ierr) - - do i = 1, 4 - call process(date, STcurrent(i), STprev(i), STpost(i), geo_em, expand_loop); - call process(date, SMcurrent(i), SMprev(i), SMpost(i), geo_em, expand_loop); - dzs(i) = SMcurrent(i)%layer2 - SMcurrent(i)%layer1 - if (i == 1) then - zs(i) = 0.5 * SMcurrent(i)%layer2 - else - zs(i) = 0.5*dzs(i) + sum(dzs(1:i-1)) - end if - enddo - - call output_to_netcdf_vector(ncid, "DZS", "m", 4, dzs) - call output_to_netcdf_vector(ncid, "ZS", "m", 4, zs) - - unmatched = count(STcurrent(1)%field < -1.e30 .and. geo_em%use /= geo_em%iswater) - if(unmatched > 0) then - print *, "You have this many undefined soil points over valid land points: ", unmatched - print *, "This tends to happen around coastlines or for unresolved islands in your forcing data" - print *, "===== Consider increasing expand_loop in namelist =====" - print *, "However, this may also occur if your forcing source does not cover your domain." - stop - end if - - call output_to_netcdf_soil(ncid, "TSLB", "K", STcurrent(1)%field, STcurrent(2)%field, STcurrent(3)%field, & - STcurrent(4)%field, geo_em%idim, geo_em%jdim, 4) - do i = 1, 4 - deallocate(STprev(i)%field, stat=ierr) - deallocate(STcurrent(i)%field, stat=ierr) - deallocate(STpost(i)%field, stat=ierr) - enddo - - do i = 1, 4 - ! Put a rough maximum on soil moisture, before we write it out. - where (SMcurrent(i)%field > 0.5) SMcurrent(i)%field = 0.5 ! Change to 0.5 (Barlage 20140529) - enddo - - call output_to_netcdf_soil(ncid, "SMOIS", "m^3/m^3", SMcurrent(1)%field, SMcurrent(2)%field, SMcurrent(3)%field, & - SMcurrent(4)%field, geo_em%idim, geo_em%jdim, 4) - do i = 1, 4 - deallocate(SMprev(i)%field, stat=ierr) - deallocate(SMcurrent(i)%field, stat=ierr) - deallocate(SMpost(i)%field, stat=ierr) - enddo - - ierr = nf90_close(ncid) - call error_handler(ierr, "Problem closing initial file") - - endif - endif - - call geth_newdate(date, date, 1) - enddo DATELOOP - - - deallocate(Tprev%field, stat=ierr) - deallocate(Tcurrent%field, stat=ierr) - deallocate(Tpost%field, stat=ierr) - - deallocate(Qprev%field, stat=ierr) - deallocate(Qcurrent%field, stat=ierr) - deallocate(Qpost%field, stat=ierr) - - deallocate(Pprev%field, stat=ierr) - deallocate(Pcurrent%field, stat=ierr) - deallocate(Ppost%field, stat=ierr) - - deallocate(Uprev%field, stat=ierr) - deallocate(Ucurrent%field, stat=ierr) - deallocate(Upost%field, stat=ierr) - - deallocate(Vprev%field, stat=ierr) - deallocate(Vcurrent%field, stat=ierr) - deallocate(Vpost%field, stat=ierr) - - deallocate(LWprev%field, stat=ierr) - deallocate(LWcurrent%field, stat=ierr) - deallocate(LWpost%field, stat=ierr) - - deallocate(SW1prev%field, stat=ierr) - deallocate(SW1current%field, stat=ierr) - deallocate(SW1post%field, stat=ierr) - - deallocate(SW2prev%field, stat=ierr) - deallocate(SW2current%field, stat=ierr) - deallocate(SW2post%field, stat=ierr) - - deallocate(PCP1prev%field, stat=ierr) - deallocate(PCP1current%field, stat=ierr) - deallocate(PCP1post%field, stat=ierr) - - deallocate(PCP2prev%field, stat=ierr) - deallocate(PCP2current%field, stat=ierr) - deallocate(PCP2post%field, stat=ierr) - - deallocate(Hprev%field, stat=ierr) - deallocate(Hcurrent%field, stat=ierr) - deallocate(Hpost%field, stat=ierr) - - deallocate(WEASDprev%field, stat=ierr) - deallocate(WEASDcurrent%field, stat=ierr) - deallocate(WEASDpost%field, stat=ierr) - - deallocate(LANDSEA%field, stat=ierr) - deallocate(zcurrent%field, stat=ierr) - deallocate(gvfmin%field, stat=ierr) - deallocate(gvfmax%field, stat=ierr) - deallocate(vegfra%field, stat=ierr) - deallocate(geo_em%lat, stat=ierr) - deallocate(geo_em%lon, stat=ierr) - deallocate(geo_em%ter, stat=ierr) - deallocate(geo_em%use, stat=ierr) - deallocate(geo_em%veg, stat=ierr) - - call grib2_clear_parameter_table - - -contains - -!============================================================================== -!============================================================================== - subroutine read_vtable(filename) - implicit none - character(len=*), intent(in) :: filename - - character(len=256) :: string - integer :: ierr - integer :: jstart, jbar - character(len=64) :: val - integer :: vcount - - ! - ! Open the file - ! - open(12, file=filename, status='old', form='formatted', iostat=ierr) - - ! - ! Scan forward until we find the string - ! - do - read(12, '(A255)', iostat=ierr) string - if (ierr /= 0) stop "Problem searching for " - if (string == "") exit - enddo - - ! - ! We've found the marker. Now read the table information - ! - - vcount = 0 - VLOOP : do - read(12, '(A255)', iostat=ierr) string - if (ierr /= 0) stop "Problem reading Variable Table" - if (string == "") exit - if (string(1:1) == "-") cycle - if (string(1:1) == "#") cycle - if (string(1:5) == "GRIB1") cycle - if (string(1:5) == "Param") cycle - write(*, '(A)') trim(string) - - jstart = 1 - vcount = vcount + 1 - if (vcount > size(vtable)) then - write(*,'(/," ***** ERROR *****")') - write(*,'(" ***** Parameterized size of vtable (",I4,") is too small.")') size(vtable) - write(*,'(" ***** Change the dimensions of vtable and recompile.",/)') - stop - endif - - BLOOP : do j = 1, 11 - ! The fields are delimited by '|' - jbar = index(string(jstart:255),'|') + jstart - 2 - val = trim(adjustl(string(jstart:jbar))) - jstart = jbar + 2 - select case (j) - case (1) - read(val,*,iostat=ierr) vtable(vcount)%g1_parm - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (2) - read(val,*,iostat=ierr) vtable(vcount)%g1_levtyp - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (3) - read(val,*,iostat=ierr) vtable(vcount)%level1 - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (4) - if (val == " ") then - vtable(vcount)%level2 = 999 - else - read(val,*,iostat=ierr) vtable(vcount)%level2 - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - endif - case (5) - vtable(vcount)%name = val - case (6) - vtable(vcount)%units = val - case (7) - vtable(vcount)%desc = val - case (8) - read(val,*,iostat=ierr) vtable(vcount)%g2_discp - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (9) - read(val,*,iostat=ierr) vtable(vcount)%g2_cat - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (10) - read(val,*,iostat=ierr) vtable(vcount)%g2_parm - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - case (11) - read(val,*,iostat=ierr) vtable(vcount)%g2_levtyp - if (ierr /= 0) then - write(*,'("Vtable read problem, entry ", I4, " column ", I4)') vcount, j - stop - endif - end select - - enddo BLOOP - - ! write(*,'(I4,I4,I4,I4,1x,A,1x,A,1x,A,I4,I4,I4,I4)') vtable(vcount)%g1_parm, vtable(vcount)%g1_levtyp, & - ! vtable(vcount)%level1, vtable(vcount)%level2, trim(vtable(vcount)%name), & - ! trim(vtable(vcount)%units), trim(vtable(vcount)%desc), vtable(vcount)%g2_discp, & - ! vtable(vcount)%g2_cat, vtable(vcount)%g2_parm, vtable(vcount)%g2_levtyp - - enddo VLOOP - - vtable_count = vcount - - end subroutine read_vtable - -!============================================================================== -!============================================================================== - - subroutine data_buffer_init(prev, current, post, file_template, remap_type, label, fatality) - implicit none - type (DataBuffer) :: prev, current, post - character(len=256), dimension(MAXTEMPLATE), intent(in) :: file_template - character(len=*), intent(in) :: label - character(len=*), intent(in) :: remap_type - integer, optional, intent(in) :: fatality - prev%label = label - prev%hdate = "0000-00-00_00:00:00" - prev%flnm_template = file_template - prev%remap_type = remap_type - if (present(fatality)) then - prev%fatality=fatality - else - prev%fatality=0 - endif - current = prev - post = prev - end subroutine data_buffer_init - -!============================================================================== -!============================================================================== - - subroutine copy_data_buffer(out, in) - ! - ! Copy the databuffer type from to - ! - ! We do this to be explicit in allocating new memory for - ! pointer array , and copying the data from - ! to (instead of merely pointing - ! => - implicit none - type(DataBuffer), intent(out) :: out - type(DataBuffer), intent(in) :: in - - - out%label = in%label - out%units = in%units - out%hdate = in%hdate - out%flnm_template = in%flnm_template - out%layer1 = in%layer1 - out%layer2 = in%layer2 - out%remap_type = in%remap_type - out%fatality = in%fatality - - if (associated(in%field)) then - allocate(out%field(size(in%field,1), size(in%field,2))) - out%field = in%field - else - nullify(out%field) - endif - - - end subroutine copy_data_buffer - -!============================================================================== -!============================================================================== - - subroutine process(input_date, current, prev, post, geo_em, expand_loop) - use module_input_data_structure - implicit none - character(len=*), intent(in) :: input_date - type(DataBuffer), intent(inout) :: current - type(DataBuffer), intent(inout) :: prev - type(DataBuffer), intent(inout) :: post - type (geo_em_type), intent(in) :: geo_em - integer, intent(in) :: expand_loop - - type(input_data_type) :: datastruct - type(input_data_type) :: Zdatastruct - type(input_data_type) :: LANDSEAdatastruct - - real :: xval - - integer :: ierr - integer :: idts - - integer :: idim - integer :: jdim - - character(len=256) :: teststring - - - ! The fatality level in the DataBuffer structure indicates what sort - ! of errors are fatal and what sort of errors we want to try to - ! recover from. - ! - ! fatality==0 means that any problem is a fatal error, and we stop. - ! - ! fatality==2 means that if we cannot find a matching file, and we - ! cannot find files from which we may do temporal interpolation, we - ! do not stop, but return a missing-data field. The calling routine - ! is responsible for filling in missing data. - nullify(datastruct%data) - nullify(zdatastruct%data) - nullify(LANDSEAdatastruct%data) - - idim = geo_em%idim - jdim = geo_em%jdim - - current%hdate = input_date(1:13)//":00:00" - - if (associated(current%field)) then - deallocate(current%field) - nullify(current%field) - endif - - ! First, check if a post buffer matches the current date. - if (post%hdate == current%hdate) then - ! The post buffer matches the current date. This is the data we want. - - call copy_data_buffer(current, post) - if (associated(prev%field)) deallocate(prev%field) - call copy_data_buffer(prev, post) - - deallocate(post%field) - nullify(post%field) - post%hdate = "0000-00-00_00:00:00" - return - endif - - ! Next, search for a GRIB file matching the current date. - - teststring = upcase(current%flnm_template(1)) - teststring = unblank(teststring) - - if ( teststring(1:9) == "CONSTANT:") then - read(teststring(10:),*) xval - allocate(current%field(idim,jdim)) - current%field = xval - select case ( current%label ) - case ("WEASD") - current%units = "kg/m^2" - current%layer1 = -1.E36 - current%layer2 = -1.E36 - case ("CANWAT") - current%units = "kg/m^2" - current%layer1 = -1.E36 - current%layer2 = -1.E36 - case ("SKINTEMP") - current%units = "K" - current%layer1 = -1.E36 - current%layer2 = -1.E36 - case ("STEMP_1") - current%units = "K" - current%layer1 = 0.0 - current%layer2 = 0.1 - case ("STEMP_2") - current%units = "K" - current%layer1 = 0.1 - current%layer2 = 0.4 - case ("STEMP_3") - current%units = "K" - current%layer1 = 0.4 - current%layer2 = 1.0 - case ("STEMP_4") - current%units = "K" - current%layer1 = 1.0 - current%layer2 = 2.0 - case ("SMOIS_1") - current%units = "m^3/m^3" - current%layer1 = 0.0 - current%layer2 = 0.1 - case ("SMOIS_2") - current%units = "m^3/m^3" - current%layer1 = 0.1 - current%layer2 = 0.4 - case ("SMOIS_3") - current%units = "m^3/m^3" - current%layer1 = 0.4 - current%layer2 = 1.0 - case ("SMOIS_4") - current%units = "m^3/m^3" - current%layer1 = 1.0 - current%layer2 = 2.0 - case default - write(*,'("Constant field not allowed for field ",A)') trim(current%label) - stop - end select - - return - endif - call grib_file_search_now(current, datastruct, ierr) - - if (ierr == 0) then - - ! - ! Attempt to fill in masked-out data in the original data array. - ! - - if(expand_loop > 0) call expand_9pt_input(datastruct%data,datastruct%nx, datastruct%ny, expand_loop) - - ! If this is air temperature data, we need to adjust to sea-level: - ! This will later be adjusted back to the destination surface elevation. - if (current%label == "T2D") then - ! Get the source model terrain data file. - Zcurrent%hdate = current%hdate - call grib_file_search_now(Zcurrent, Zdatastruct, ierr) - if (ierr /= 0) then - stop "Source model terrain data not found" - endif - - if ( .not. check_if_same_map(datastruct, Zdatastruct) ) then - stop "1) Source model terrain dimensions do not match source model temperature dimensions" - endif - where(Zdatastruct%data < 0.0) Zdatastruct%data = 0.0 ! Barlage 20140529 - datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) - deallocate(Zdatastruct%data) - nullify(Zdatastruct%data) - endif - - ! If this field is soil temperature or moisture, fill in some water points - ! with a smooth expansion of the land-point data. We do this - ! so that interpolation can be a little more sane. - if ( (current%label(1:6) == "STEMP_") .or. (current%label(1:6) == "SMOIS_") ) then - ! Get the source model Land/Sea mask data. - LANDSEA%hdate = current%hdate - call grib_file_search_now(LANDSEA, LANDSEAdatastruct, ierr) - if (ierr /= 0) then - print*, "Source model land/sea data not found; assuming a bitmap exists" - LANDSEAdatastruct%data = -1 ! Initialize LS mask to -1, if not available we assume bitmap Barlage - else - where(LANDSEAdatastruct%data == 0) datastruct%data = -1e36 - deallocate(LANDSEAdatastruct%data) - endif -! Barlage 20140529: comment the following and use expand_9pt to deal with missing values -! call fillsm(datastruct%data, (LANDSEAdatastruct%data /= 0), datastruct%nx, datastruct%ny) - - where(datastruct%data < 0) datastruct%data = -1e36 ! This used for bitmap data Barlage 20150520 - -! Barlage 20140529: the following will probably do an additional expansion, but it won't hurt - call expand_9pt_input(datastruct%data,datastruct%nx, datastruct%ny, expand_loop) - nullify(LANDSEAdatastruct%data) - endif - - ! remap the datastruct data to the model grid - if (current%label == "RAINRATE") then - allocate(current%field(idim, jdim)) - if (rainfall_interp == 0) then - call interp_rainfall_nearest_neighbor(datastruct, current%field, geo_em%idim, geo_em%jdim, geo_em) - else if (rainfall_interp == 1) then - call interp_rainfall(datastruct, current%field, geo_em%idim, geo_em%jdim, geo_em) - ! call another_interp_rainfall(datastruct, current%field, geo_em%idim, geo_em%jdim, geo_em) - endif - else - ! This remap function allocates current%field and fills it. - call remap(datastruct, geo_em, current) - endif - deallocate(datastruct%data) - nullify(datastruct%data) - -! Barlage 20140529: comment the following -! if ( (current%label(1:6) == "STEMP_") .or. (current%label(1:6) == "SMOIS_") ) then -! where (geo_em%use == geo_em%iswater) current%field=-1.E36 -! endif - - ! Make the current data available as previous data, in preparation for the next time step. - if (associated(prev%field)) deallocate(prev%field) - call copy_data_buffer(prev, current) - - ! Clear post - if (associated(post%field)) then - deallocate(post%field) - nullify(post%field) - endif - post%hdate = "0000-00-00_00:00:00" - - ! We've got the data we wanted, so get out of here. - return - - endif - - ! We did not find data. Let's try to temporally interpolate. - - ! A "prev" buffer must exist for us. Check that. - - if (prev%hdate == "0000-00-00_00:00:00") then - - if (current%fatality == 2) then - allocate(current%field(idim, jdim)) - current%field = -1.E36 - write(*,'(13x, ": Prior data missing for ", A, ". Returning missing-data field.")') & - trim(current%label) - return - endif - - write(*,'("Field label= ",A)') trim(current%label) - write(*,'("No previous data.")') - stop - endif - - ! The "prev" buffer must be recent. Check that - call geth_idts (current%hdate, prev%hdate, idts) - if (idts > 43200) then - - if (current%fatality == 2) then - allocate(current%field(idim, jdim)) - current%field = -1.E36 - if (associated(prev%field)) then - deallocate(prev%field) - nullify(prev%field) - endif - prev%hdate = "0000-00-00_00:00:00" - write(*,'(13x, ": Prior data is out-of-date for ", A, ". Returning missing-data field.")') & - trim(current%label) - return - endif - - write(*,'("Previous data is out of date.")') - stop - endif - - ! Check for a "post" buffer. - - if (post%hdate > current%hdate) then - call geth_idts(post%hdate, prev%hdate, idts) - if (idts > 43200) then - - if (current%fatality == 2) then - allocate(current%field(idim, jdim)) - current%field = -1.E36 - if (associated(prev%field)) then - deallocate(prev%field) - nullify(prev%field) - endif - prev%hdate = "0000-00-00_00:00:00" - write(*,'(13x, ": Time range for interpolation of ", A, " is too large. ",& - &"Returning missing-data field.")') & - trim(current%label) - return - endif - stop - endif - - if (current%label == "RAINRATE") then - ! Don't temporally interpolate the rain rate. - allocate(current%field(size(prev%field,1), size(prev%field,2))) - ! Take the "post" field, because that field should be the accumulation - ! between "prev" and "post" - current%field = post%field - else - call temporal_interpolation(prev, post, current) - endif - ! We have the data we want, so we can exit. - return - endif - - ! No post buffer, so we must read some new data into a post buffer - - call grib_file_search_future(current, post, datastruct, ierr) - - ! Also call expand_9pt_input in future file - if(expand_loop > 0) call expand_9pt_input(datastruct%data,datastruct%nx, datastruct%ny, expand_loop) - - if (ierr /= 0) then - - if (current%fatality == 2) then - allocate(current%field(idim, jdim)) - current%field = -1.E36 - if (associated(prev%field)) then - deallocate(prev%field) - nullify(prev%field) - endif - prev%hdate = "0000-00-00_00:00:00" - write(*,'(13x, ": No later data for interpolation of ", A, ". Returning missing-data field.")') & - trim(current%label) - return - endif - - write(*,'("We could not find later data to interpolate")') - stop - endif - - ! If this is air temperature data, we need to adjust to sea-level: - ! This will later be adjusted back to the destination surface elevation. - if (current%label == "T2D") then - ! Get the source model terrain data file. - Zcurrent%hdate = post%hdate - call grib_file_search_now(Zcurrent, Zdatastruct, ierr) - if (ierr /= 0) then - stop "Source model terrain data not found" - endif - if ( .not. check_if_same_map(datastruct, Zdatastruct) ) then - stop "2) Source model terrain dimensions do not match source model temperature dimensions" - endif - where(Zdatastruct%data < 0.0) Zdatastruct%data = 0.0 ! Barlage 20140529 - datastruct%data = datastruct%data - ( -0.0065 * Zdatastruct%data ) - deallocate(Zdatastruct%data) - nullify(Zdatastruct%data) - endif - - ! remap the datastruct data to the model grid - - ! This remap function allocates post%field and fills it. - call remap(datastruct, geo_em, post) - deallocate(datastruct%data) - nullify(datastruct%data) - - if (current%label == "RAINRATE") then - ! Don't temporally interpolate the rain rate. - ! Simply carry the previous value forward. - allocate(current%field(size(prev%field,1), size(prev%field,2))) - current%field = post%field - else - call temporal_interpolation(prev, post, current) - endif - - ! We have the data we want, and prev and post are both up-to-date, - ! so we can exit. - - end subroutine process - -!============================================================================== -!============================================================================== - - subroutine expand_9pt_input(data, nx, ny, maxloop) - - ! This routine checks for missing data in the input forcing and - ! expands using a 9pt average; Added to deal with input data such - ! as NLDAS which doesn't have any values over water - - implicit none - integer, intent(in) :: nx - integer, intent(in) :: ny - real, dimension(nx, ny), intent(inout) :: data - integer, intent(in) :: maxloop - - integer :: i, k, ilo, ihi, klo, khi, loop, testnum - real, dimension(nx,ny) :: hold - - do loop = 1, maxloop - hold = data - do i = 1, nx - do k = 1, ny - if (hold(i,k) < -1e1 ) then - !if (hold(i,k) < -1e10 ) then - ilo = max( 1,i-1) - ihi = min(nx,i+1) - klo = max( 1,k-1) - khi = min(ny,k+1) - testnum = count(hold(ilo:ihi,klo:khi) > -1e1 ) - !testnum = count(hold(ilo:ihi,klo:khi) > -1e10) - if(testnum > 0) then - ! data(i,k) = sum(hold(ilo:ihi,klo:khi), hold(ilo:ihi,klo:khi) > -1e10)/testnum - data(i,k) = sum(hold(ilo:ihi,klo:khi), hold(ilo:ihi,klo:khi) > -1e1 )/testnum - endif - endif - enddo - enddo - enddo - - end subroutine expand_9pt_input - -!============================================================================== -!============================================================================== - - subroutine remap(datastruct, geo_em, buff) - use module_input_data_structure - implicit none - type(input_data_type), intent(in) :: datastruct - type (geo_em_type), intent(in) :: geo_em - type(DataBuffer), intent(inout) :: buff - - integer :: i, j - integer :: idim, jdim - real, allocatable, dimension(:,:) :: etax, etay - real :: east_longitude - - buff%layer1 = datastruct%layer1 - buff%layer2 = datastruct%layer2 - - idim = geo_em%idim - jdim = geo_em%jdim - allocate(buff%field(idim,jdim)) - allocate(etax(idim,jdim)) - allocate(etay(idim,jdim)) - - do i = 1, idim - do j = 1, jdim -#if 0 -!Removed, because this seemed to break some grids. - ! Lon must be between 0 and 360 E - if (geo_em%lon(i,j) < 0) then - east_longitude = geo_em%lon(i,j) + 360. - else - east_longitude = geo_em%lon(i,j) - endif - call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), east_longitude, etax(i,j), etay(i,j)) -#else - call latlon_to_ij(datastruct%proj, geo_em%lat(i,j), geo_em%lon(i,j), etax(i,j), etay(i,j)) -#endif - - if (buff%remap_type=="bint") then - buff%field(i,j) = bint_p(datastruct%data, datastruct%nx, datastruct%ny, etax(i,j), etay(i,j)) - else if (buff%remap_type == "4pt") then - buff%field(i,j) = four_point_p(datastruct%data, datastruct%nx, datastruct%ny, etax(i,j), etay(i,j)) - else if (buff%remap_type == "16pt") then - buff%field(i,j) = wt_sixteen_pt_average(datastruct%data, datastruct%nx, datastruct%ny, & - etax(i,j), etay(i,j),-1E+36,-1E+36) - else - print*, "'"//trim(buff%remap_type)//"'" - stop "remap type" - endif - - enddo - enddo - deallocate(etax) - deallocate(etay) - - - end subroutine remap - -!============================================================================== -!============================================================================== - - subroutine grib_file_search_future(current, post, datastruct, ierr) - use module_input_data_structure - implicit none - type(DataBuffer), intent(inout) :: current - type(DataBuffer), intent(inout) :: post - type(input_data_type), intent(out) :: datastruct - integer, intent(out) :: ierr - - character(len=13) :: kdate - integer :: i, j - character(len=256) :: flnm - - logical :: lexist - - nullify(datastruct%data) - - ierr = 1 - kdate = current%hdate(1:13) - - DATE_SEEK_LOOP : do i = 1, 12 - - TEMPLATE_LOOP : do j = 1, MAXTEMPLATE - if (current%flnm_template(j) /= " ") then - flnm = current%flnm_template(j) - - call fill_template(flnm, kdate) - - write(*,'(A)') " "//": Checking for file '"//trim(flnm)//"'" - - inquire(file=trim(flnm), exist=lexist) - if ( .not. lexist ) then - inquire(file=trim(flnm)//".bz2", exist=lexist) - if (lexist) then - flnm = trim(flnm)//".bz2" - endif - endif - - if (lexist) then - write(*,'(A)') " "//": Found file "//trim(flnm) - ierr = 0 - exit DATE_SEEK_LOOP - endif - endif - enddo TEMPLATE_LOOP - - call geth_newdate(kdate, kdate, 1) - - enddo DATE_SEEK_LOOP - - ! If we haven't found any matching data yet, then get out of here. - if (ierr == 1) return - - !call get_single_datastruct_from_grib(trim(flnm), kdate, datastruct, ierr) - call get_single_datastruct_from_netcdf(trim(flnm),kdate,datastruct, ierr, current) - post%hdate = kdate//":00:00" - post%units = datastruct%units - - end subroutine grib_file_search_future - -!============================================================================== -!============================================================================== - - subroutine grib_file_search_now(current, datastruct, ierr) - use module_input_data_structure - implicit none - type(DataBuffer), intent(inout) :: current - type(input_data_type), intent(out) :: datastruct - integer, intent(out) :: ierr - character(len=256) :: flnm - logical :: lexist - integer :: j - character(len=13) :: kdate - - kdate = current%hdate(1:13) - - ierr = 1 - - TEMPLATE_LOOP : do j = 1, MAXTEMPLATE - if (current%flnm_template(j) /= " ") then - flnm = current%flnm_template(j) - - call fill_template(flnm, kdate) - - write(*,'(A)') " "//": Checking for file '"//trim(flnm)//"'" - - inquire(file=trim(flnm), exist=lexist) - if ( .not. lexist ) then - inquire(file=trim(flnm)//".bz2", exist=lexist) - if (lexist) then - flnm = trim(flnm)//".bz2" - endif - endif - - if (lexist) then - write(*,'(A)') " "//": Found file "//trim(flnm) - ierr = 0 - exit TEMPLATE_LOOP - endif - endif - enddo TEMPLATE_LOOP - if (ierr == 1) return - nullify(datastruct%data) ! Barlage: move from above - !call get_single_datastruct_from_grib(trim(flnm), kdate, datastruct, ierr) - call get_single_datastruct_from_netcdf(trim(flnm),kdate,datastruct, ierr, current) - current%units = datastruct%units - - if ( current%label /= datastruct%field ) then - write(*,'(/,1x,80("*"))') - write(*,'(" ***** PROBLEM: Requested field name does not match the name in the Vtable entry.")') - write(*,'(" ***** ")') - write(*,'(" ***** Requested field name: ''",A,"''")') trim(current%label) - write(*,'(" ***** Field name in the Vtable entry: ''",A,"''")') trim(datastruct%field) - write(*,'(" ***** ")') - write(*,'(" ***** Please check your VTable entries and filename templates in your namelist")') - write(*,'(" ***** to be sure you are getting the fields you think you are getting.")') - write(*,'(1x,80("*"),/)') - stop - endif - - end subroutine grib_file_search_now - -!============================================================================== -!============================================================================== - - subroutine temporal_interpolation(prev, post, current) - implicit none - type(DataBuffer), intent(in) :: prev - type(DataBuffer), intent(in) :: post - type(DataBuffer), intent(inout) :: current - - integer :: xdiff - integer :: tdiff - real :: fraction - - call geth_idts(current%hdate, prev%hdate, xdiff) - call geth_idts(post%hdate, prev%hdate, tdiff) - - fraction = real(xdiff)/real(tdiff) - - allocate(current%field(size(prev%field,1), size(prev%field,2))) - current%field = (prev%field)*(1.0-fraction) + (post%field)*(fraction) - -!KWM if (prev%layer1 /= post%layer1) then -!KWM print*, 'prev%layer1 = ', prev%layer1 -!KWM print*, 'post%layer1 = ', post%layer1 -!KWM stop "layer1 mismatch" -!KWM endif -!KWM if (prev%layer2 /= post%layer2) then -!KWM print*, 'prev%layer2 = ', prev%layer2 -!KWM print*, 'post%layer2 = ', post%layer2 -!KWM stop "layer2 mismatch" -!KWM endif -!KWM current%layer1 = prev%layer1 -!KWM current%layer2 = prev%layer2 - - end subroutine temporal_interpolation - -!============================================================================== -!============================================================================== - - subroutine output_databuffer(ncid, buff) - implicit none - integer, intent(in) :: ncid - type (DataBuffer), intent(in) :: buff - ! Wrapper around call to output_to_netcdf - call output_to_netcdf(ncid, buff%label, buff%units, buff%field, & - size(buff%field,1), size(buff%field,2)) - end subroutine output_databuffer - -!============================================================================== -!============================================================================== - - subroutine get_single_datastruct_from_grib(gribflnm, kdate, datastruct, ierr) - use module_grib - use kwm_string_utilities - use module_input_data_structure - implicit none - character(len=*), intent(in) :: gribflnm, kdate - type(input_data_type), intent(out) :: datastruct - integer, intent(out) :: ierr - - character(len=256) :: flnm - integer(kind=8) :: gribunit - integer :: istat - - !------------------------------------------------------------------------- - nullify(datastruct%data) - - flnm = gribflnm - - call fill_template(flnm, kdate) - - ! Open the unit and read the first GRIB record - call gribopen(flnm, gribunit, ierr); - if (ierr /= 0) then - if (ierr == 2) then - write(*, '("File does not exist: ",A)') trim(flnm) - else - write(*, '("Undetermined problem opening file: ", A)') trim(flnm) - endif - return - stop "get_single_datastruct_from_grib" - endif - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - call read_grib_unit(gribunit, datastruct, ierr, trim(flnm)) - if (ierr /= 0) then - print*, 'Returning error flag from get_single_datastruct_from_grib (1)' - print*, 'gribunit = ', gribunit - print*, 'flnm = ', trim(flnm) - print*, 'ierr = ', ierr - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - return - endif - call gribclose(gribunit) - - end subroutine get_single_datastruct_from_grib - -!============================================================================== -!============================================================================== - - subroutine get_single_datastruct_from_netcdf(ncflnm, kdate, datastruct, ierr, current) - use module_grib - use netcdf - use kwm_string_utilities - use module_input_data_structure - implicit none - character(len=*), intent(in) :: ncflnm, kdate - type(DataBuffer), intent(in) :: current - ! define some variables for reading ncfile - integer :: ncid - - ! define data structure - type(input_data_type), intent(out) :: datastruct - integer, intent(out) :: ierr - character(len=256) :: flnm - - !------------------------------------------------------------------------- - flnm = ncflnm - - call fill_template(flnm, kdate) - ! Open the netcdf file and read data record - ierr = nf90_open(flnm,nf90_nowrite,ncid) - if (ierr /= 0) then - if (ierr ==2) then - write(*, '("File does not exist: ",A)') trim(flnm) - else - write(*, '("Undetermined problem opening file: ", A)') trim(flnm) - endif - return - stop "get_single_datastruct_from_netcdf" - endif - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - call read_netcdf_unit(ncid,datastruct,ierr,current) - if (ierr /= 0) then - print*, 'Returning error flag from get_single_datastruct_from_netcdf (1)' - print*, 'flnm = ', trim(flnm) - print*, 'ierr = ', ierr - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - return - endif - ierr = nf90_close(ncid) - end subroutine get_single_datastruct_from_netcdf - - -!============================================================================== -!============================================================================== - - subroutine read_netcdf_unit(ncid, datastruct, ierr, current) - use netcdf - use variables - use module_input_data_structure - implicit none - integer, intent(in) :: ncid - type(string) :: array(20) - type(input_data_type), intent(out) :: datastruct - type(DataBuffer), intent(in) :: current - integer, parameter :: NDIMS = 3, NRECS = 1 - integer, parameter :: NLATS = 600, NLONS = 1440 - character (len = *), parameter :: LAT_NAME = "lat" - character (len = *), parameter :: LON_NAME = "lon" - character (len = *), parameter :: REC_NAME = "time" - integer :: lon_dimid, lat_dimid, rec_dimid - integer :: start(NDIMS), count(NDIMS) - real :: lats(NLATS), lons(NLONS) - integer :: ierr, lon_varid, lat_varid - integer :: astat - character (len = 256) :: VAR_NAME - integer :: varid - integer :: dimids(NDIMS) - ! Read the data into these arrays - real :: var_in(NLONS,NLATS) - integer :: ndims_in, nvars_in, ngatts_in, unlimdimid_in - integer :: lat, lon - array = [string('Tair_f_inst'),string('Qair_f_inst'),string('U_f_inst'),string("V_f_inst"),string("Psurf_f_inst"), & - string("Precf_tavg"),string("SWdown_f_tavg"),string("LWdown_f_tavg"),string("GLDAS_elevation"),string("AvgSurfT_inst"), & - string("SWE_inst"),string("CanopInt_inst"),string("SoilMoi0_10cm_inst"),string("SoilMoi10_40cm_inst"),string("SoilMoi40_100cm_inst"), & - string("SoilMoi100_200cm_inst"),string("SoilTMP0_10cm_inst"),string("SoilTMP10_40cm_inst"),string("SoilTMP40_100cm_inst"),string("SoilTMP100_200cm_inst")] - nullify(datastruct%data) - ! Match the netcdf attribute with one of the Vtable entries - VARSEARCH : do j = 1, vtable_count - if (current%label == vtable(j)%name) then - VAR_NAME = array(j)%str - datastruct%field = vtable(j)%name - datastruct%desc = vtable(j)%desc - datastruct%units = vtable(j)%units - exit VARSEARCH - endif - if (j == vtable_count) then - write(*,'(/," ***** ERROR *****")') - write(*,'(" ***** GRIB Edition 1 data does not match a Vtable entry")') - stop "Edition 1" - endif - enddo VARSEARCH - datastruct%nx = NLONS - datastruct%ny = NLATS - call map_set(PROJ_LATLON, datastruct%proj, lat1=-59.875, lon1=-179.875, & - latinc=0.25, loninc=0.25, knowni=1.0, knownj=1.0) - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - allocate(datastruct%data(datastruct%nx,datastruct%ny), stat=astat) - if (astat /= 0) stop "Problem (A) allocating datastruct%data" - ierr = nf90_inq_varid(ncid, VAR_NAME, varid) - ierr = nf90_get_var(ncid, varid, var_in) - datastruct%data = var_in -! Some modification for SMOIS unit - if (datastruct%field(1:6) == "SMOIS_") then - ! If units are kg m{-2} (that is, mm), convert to volumetric - if ( (datastruct%units == "kg/m^2") .or. (datastruct%units == "mm") ) then - print *, "I am in this loop: if units == kg/m^2" - write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & - (datastruct%layer2 - datastruct%layer1) - datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) - datastruct%units = "m^3/m^3" - elseif (datastruct%units == "gldas") then ! hack to take care of bad units in GLDAS MBv3.7 - print *, "I am in this loop: if units == glads" - if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer1 = 0 - if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer2 = 0.1 - if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer1 = 0.1 - if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer2 = 0.4 - if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer1 = 0.4 - if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer2 = 1.0 - if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer1 = 1.0 - if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer2 = 2.0 - write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & - (datastruct%layer2 - datastruct%layer1) - datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) - datastruct%units = "m^3/m^3" - endif - endif - - - if (ierr /=0 ) then - print *, "Can't read variable: ", VAR_NAME - else - print *, "Successfully read variable: ", VAR_NAME - endif - end subroutine read_netcdf_unit - -!============================================================================== -!============================================================================== - - subroutine read_grib_unit(nunit, datastruct, ierr, info) - use module_grib - use module_input_data_structure - implicit none - integer(kind=8), intent(in) :: nunit - type(input_data_type), intent(out) :: datastruct - integer :: ierr, i, j - real :: rb, xdum - real :: oldmax - real :: newmax - integer :: astat - character(len=*), intent(in), optional :: info - - type(GribStruct) :: grib - character(len=64) :: name - character(len=256) :: units - character(len=256) :: description - - ! Returned from grib_level_information - character(len=256) :: level_type - character(len=256) :: level_units - real :: level_value - real :: level2_value - - ! Returned from grib_time_information - character(len=19) :: reference_date - character(len=19) :: valid_date - character(len=256) :: process - character(len=256) :: processing - integer :: p1_seconds - integer :: p2_seconds - - real, parameter :: grrth = 6370.949 - real, external :: tand - real, external :: sind - real, external :: cosd - - ! - ! Get a grib field, unpacking all header information. - ! - nullify(grib%buffer) - nullify(grib%bitmap) - nullify(grib%array) - nullify(grib%sec7%floated) - nullify(datastruct%data) - - call grib_next_field(nunit, grib, ierr) - if (ierr /= 0) then - write(*, '("Returning error from read_grib_unit: nunit = ", I3, " ierr = ", I3)') nunit, ierr - if (present(info)) print*, info - return - endif - - ! - ! Match the grib record we've just read with one of our grib table entries. - ! - if (grib%edition == 1) then - G1SEARCH : do j = 1, vtable_count - if ( (grib%g1sec1%parameter == vtable(j)%g1_parm) .and. & - (grib%g1sec1%leveltyp == vtable(j)%g1_levtyp) .and. & - (grib%g1sec1%levelval == vtable(j)%level1) ) then - if ( (grib%g1sec1%level2val == vtable(j)%level2) .or. & - (grib%g1sec1%level2val < -1.E25) .or. & - (vtable(j)%level2 == 999) ) then - ! print*, 'Parameter match: ', & - ! grib%g1sec1%parameter, grib%g1sec1%leveltyp, grib%g1sec1%levelval, grib%g1sec1%level2val - datastruct%field = vtable(j)%name - datastruct%desc = vtable(j)%desc - datastruct%units = vtable(j)%units - write(*, '(A, " GRIB Editon 1")') datastruct%field - exit G1SEARCH - endif - endif - if (j == vtable_count) then - write(*,'(/," ***** ERROR *****")') - write(*,'(" ***** GRIB Edition 1 data does not match a Vtable entry")') - print*, grib%g1sec1%parameter, grib%g1sec1%leveltyp, grib%g1sec1%levelval, grib%g1sec1%level2val - stop "Edition 1" - endif - enddo G1SEARCH - else if (grib%edition == 2) then - G2SEARCH : do j = 1, vtable_count - if ( (grib%discipline == vtable(j)%g2_discp) .and. & - (grib%sec4%parameter_category == vtable(j)%g2_cat) .and. & - (grib%sec4%parameter_number == vtable(j)%g2_parm) .and. & - (grib%sec4%ltype1 == vtable(j)%g2_levtyp) .and. & - (grib%sec4%lvalue1 == vtable(j)%level1) ) then - if ( (grib%sec4%lvalue2 == vtable(j)%level2) .or. & - (grib%sec4%lvalue2 < -1.E25) .or. & - (vtable(j)%level2 == 999) ) then - ! print*, 'Parameter match: ', & - ! grib%discipline, grib%sec4%parameter_category, grib%sec4%ltype1, grib%sec4%lvalue1, grib%sec4%lvalue2 - datastruct%field = vtable(j)%name - datastruct%desc = vtable(j)%desc - datastruct%units = vtable(j)%units - write(*, '(A, " GRIB Editon 2")') datastruct%field - exit G2SEARCH - endif - endif - if (j == vtable_count) then - write(*,'(/," ***** ERROR *****")') - write(*,'(" ***** GRIB Edition 2 data does not match a Vtable entry")') - print*, grib%discipline, grib%sec4%parameter_category, grib%sec4%parameter_number, & - grib%sec4%ltype1, grib%sec4%lvalue1, grib%sec4%lvalue2 - stop "Edition 2" - endif - enddo G2SEARCH - endif - - call grib_time_information(grib, reference_date, valid_date, process, processing, p1_seconds, p2_seconds) - datastruct%hdate = valid_date - - datastruct%layer1 = -1.E36 - datastruct%layer2 = -1.E36 - - description = " " - -! Barlage: is it necessary to read external grib tables? why not just read namelist table for this info 20150518 -! -! call grib_parameter_text_information(grib, name, units, description) -! Barlage: move assignment up 20150518 -! datastruct%desc = description -! datastruct%units = units - - ! print*, 'description = "' // trim(description) // '"' - - call grib_level_information(grib, level_type, level_units, level_value, level2_value) - - datastruct%layer1 = level_value - datastruct%layer2 = level2_value - - call grib_map_information(grib) - - datastruct%nx = grib%mapinfo%nx - datastruct%ny = grib%mapinfo%ny - - call map_init(datastruct%proj) -!KWM datastruct%proj%lat1 = grib%mapinfo%lat1 -!KWM if (grib%mapinfo%lon1 > 180) then -!KWM datastruct%proj%lon1 = grib%mapinfo%lon1-360 -!KWM else -!KWM datastruct%startlon = grib%mapinfo%lon1 -!KWM endif - - if (grib%mapinfo%hproj == "CE") then - - call map_set(PROJ_LATLON, datastruct%proj, lat1=grib%mapinfo%lat1, lon1=grib%mapinfo%lon1, & - latinc=grib%mapinfo%dy, loninc=grib%mapinfo%dx, knowni=1.0, knownj=1.0) - - else if (grib%mapinfo%hproj == "LC") then - - call map_set(PROJ_LC, datastruct%proj, lat1=grib%mapinfo%lat1, lon1=grib%mapinfo%lon1, & - knowni=1.0, knownj=1.0, truelat1=grib%mapinfo%truelat1, truelat2=grib%mapinfo%truelat2, & - stdlon=grib%mapinfo%xlonc, dx=grib%mapinfo%dx*1.E3) - - else if (grib%mapinfo%hproj == "ST") then - - call map_set(PROJ_PS, datastruct%proj, lat1=grib%mapinfo%lat1, lon1=grib%mapinfo%lon1, truelat1=grib%mapinfo%truelat1, & - knowni=1.0, knownj=1.0, stdlon=grib%mapinfo%xlonc, dx=grib%mapinfo%dx*1.E3) - - else - - write(*,'("Unrecognized grib%mapinfo%hproj: ", A2)') grib%mapinfo%hproj - stop - - endif - - if (associated(datastruct%data)) then - deallocate(datastruct%data) - nullify(datastruct%data) - endif - allocate(datastruct%data(datastruct%nx,datastruct%ny), stat=astat) - if (astat /= 0) stop "Problem (A) allocating datastruct%data" - - call gribdata(grib) - datastruct%data = grib%array - call deallogrib(grib) - - ! If the data are from GCIP SRB archives, they're at 15 minutes off the hour. - ! Ignore that 15-minute offset in that case, and put the date right on the hour. - - if (datastruct%field == "SWDOWN") then - if (rescale_shortwave) then - call rescale_sw_time_offset(datastruct) - endif - datastruct%hdate(15:16) = "00" - ! TEST: Set zero data values to missing data for GCIP SW fields - ! where (datastruct%data <= 0) datastruct%data = -1.E36 - endif - -!MB: want mm units in v3.7 -!KWM if (description == "Plant Canopy Surface Water") then -! if (datastruct%field == "CANWAT") then -! ! Convert canwat from kg m{-2} (that is, mm) to m -! datastruct%data = datastruct%data * 1.E-3 -! datastruct%units = "m" -! endif - print *, "I am here checking: datastruct%field == ",datastruct%field - if (datastruct%field(1:6) == "SMOIS_") then - ! If units are kg m{-2} (that is, mm), convert to volumetric - if ( (datastruct%units == "kg/m^2") .or. (datastruct%units == "mm") ) then - print *, "I am in this loop: if units == kg/m^2" - write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & - (datastruct%layer2 - datastruct%layer1) - datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) - datastruct%units = "m^3/m^3" - elseif (datastruct%units == "gldas") then ! hack to take care of bad units in GLDAS MBv3.7 - print *, "I am in this loop: if units == glads" - if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer1 = 0 - if(datastruct%field(1:7) == "SMOIS_1") datastruct%layer2 = 0.1 - if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer1 = 0.1 - if(datastruct%field(1:7) == "SMOIS_2") datastruct%layer2 = 0.4 - if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer1 = 0.4 - if(datastruct%field(1:7) == "SMOIS_3") datastruct%layer2 = 1.0 - if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer1 = 1.0 - if(datastruct%field(1:7) == "SMOIS_4") datastruct%layer2 = 2.0 - write(*,*) "Converting soil water content to volumetric using thickness[m]: ", & - (datastruct%layer2 - datastruct%layer1) - datastruct%data = datastruct%data * 1.E-3 / (datastruct%layer2 - datastruct%layer1) - datastruct%units = "m^3/m^3" - endif - endif - - ! print*, 'Description = "'//trim(description)//'"' - ! if (description == "Total precipitation") then - if (datastruct%field == "RAINRATE") then - ! print*, 'datastruct%units = ', datastruct%units - ! Convert from kg/m^2 (that is, mm) in hours to mm/s - if ( (datastruct%units == "kg/m^2") .or. (datastruct%units == "mm") ) then -!KWM print*, 'Time information: ' -!KWM print*, ' Reference Date ' // reference_date -!KWM print*, ' Reference Date ' // valid_date -!KWM print*, ' ' // trim(process) -!KWM print*, ' ' // trim(processing) -!KWM print*, ' P1 ', p1_seconds -!KWM print*, ' P2 ', p2_seconds - if (processing(1:12) == "Accumulation") then - oldmax = maxval(datastruct%data, mask=(datastruct%data > -1.E25)) - write(*,'(13x, "Maxval adjusted from ", F12.6)', advance="no") oldmax - where (datastruct%data > -1.E25) - datastruct%data = datastruct%data * (1.0 / float(p2_seconds - p1_seconds)) - endwhere - newmax = maxval(datastruct%data, mask=(datastruct%data > -1.E25)) - write(*,'(" to ", F12.6, ": factor of ", I8)') newmax, NINT(oldmax/newmax) - ! Change the units to mm/s, reflecting the rescaling we just did. - datastruct%units = "mm/s" - else - stop "Precip Problem A?" - endif - elseif ( (datastruct%units == "kg/m^2/s") ) then ! For example, GLDAS; MB v3.7 - datastruct%units = "mm/s" - else - stop "Precip Problem B?" - endif - endif - - end subroutine read_grib_unit - -!============================================================================== -!============================================================================== - - logical function check_if_same_map(A, B) result (lval) - ! Check two DATASTRUCT structures to see if they have the same grid/map. - use module_input_data_structure - implicit none - type(input_data_type), intent(in) :: A - type(input_data_type), intent(in) :: B - - lval = .TRUE. - - if (A%proj%code /= B%proj%code) lval = .FALSE. - if (A%nx /= B%nx) lval = .FALSE. - if (A%ny /= B%ny) lval = .FALSE. - if (abs(A%proj%lat1 - B%proj%lat1) > 1.E-4) lval = .FALSE. - if (abs(A%proj%lon1 - B%proj%lon1) > 1.E-4) lval = .FALSE. - if ((A%proj%latinc > -1.E25) .and. (B%proj%latinc > -1.E25)) then - if (abs(A%proj%latinc - B%proj%latinc) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%loninc > -1.E25) .and. (B%proj%loninc > -1.E25)) then - if (abs(A%proj%loninc - B%proj%loninc) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%dx > -1.E25) .and. (B%proj%dx > -1.E25)) then - if (abs(A%proj%dx - B%proj%dx) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%dy > -1.E25) .and. (B%proj%dy > -1.E25)) then - if (abs(A%proj%dy - B%proj%dy) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%stdlon > -1.E25) .and. (B%proj%stdlon > -1.E25)) then - if (abs(A%proj%stdlon - B%proj%stdlon) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%truelat1 > -1.E25) .and. (B%proj%truelat1 > -1.E25)) then - if (abs(A%proj%truelat1 - B%proj%truelat1) > 1.E-4) lval = .FALSE. - endif - if ((A%proj%truelat2 > -1.E25) .and. (B%proj%truelat2 > -1.E25)) then - if (abs(A%proj%truelat2 - B%proj%truelat2) > 1.E-4) lval = .FALSE. - endif - - if (.not. lval) then - write(*, '("CHECK_IF_SAME_MAP:")') - write(*, '(" proj_code= ", I12, I12)') A%proj%code, B%proj%code - write(*, '(" nx = ", I12, I12)') A%nx, B%nx - write(*, '(" ny = ", I12, I12)') A%ny, B%ny - write(*, '(" startlat = ", F20.12, F20.12)') A%proj%lat1, B%proj%lat1 - write(*, '(" startlon = ", F20.12, F20.12)') A%proj%lon1, B%proj%lon1 - write(*, '(" deltalat = ", F20.12, F20.12)') A%proj%latinc, B%proj%latinc - write(*, '(" deltalon = ", F20.12, F20.12)') A%proj%loninc, B%proj%loninc - write(*, '(" dx = ", F20.12, F20.12)') A%proj%dx, B%proj%dx - write(*, '(" dy = ", F20.12, F20.12)') A%proj%dy, B%proj%dy - write(*, '(" xlonc = ", F20.12, F20.12)') A%proj%stdlon, B%proj%stdlon - write(*, '(" truelat1 = ", F20.12, F20.12)') A%proj%truelat1, B%proj%truelat1 - write(*, '(" truelat2 = ", F20.12, F20.12)') A%proj%truelat2, B%proj%truelat2 - endif - - end function check_if_same_map - -!============================================================================== -!============================================================================== - -end program create_forcing - -!============================================================================== -!============================================================================== - -subroutine interpolate_vegetation(name, date, idim, jdim, vegin, vegout) - implicit none - character(len=*), intent(in) :: name - character(len=*), intent(in) :: date - integer, intent(in) :: idim, jdim - real, dimension(idim,jdim,12), intent(in) :: vegin - real, dimension(idim,jdim) , intent(out) :: vegout - - integer :: imo - integer :: imo2 - integer :: imody - real, allocatable, dimension(:,:) :: xdum, xdum2 - - integer, parameter, dimension(12) :: mday = (/31,28,31,30,31,30,31,31,30,31,30,31/) - - ! Vegetation Fraction field - - read(date(6:10), '(I2,1x,I2)') imo, imody - - if (imody == 15) then - vegout = vegin(:,:,imo) - else if (imody > 15) then - allocate(xdum(idim,jdim), xdum2(idim,jdim)) - xdum = vegin(:,:,imo) - xdum2 = vegin(:,:,mod(imo,12)+1) - vegout = xdum + float(imody-15)/float(mday(imo))*(xdum2-xdum) - deallocate(xdum, xdum2) - else if (imody < 15) then - allocate(xdum(idim,jdim), xdum2(idim,jdim)) - xdum2 = vegin(:,:,imo) - if (imo == 1) then - imo2 = 12 - else - imo2 = imo - 1 - endif - xdum = vegin(:,:,imo2) - - vegout = xdum + float(mday(imo2)-(15-imody)) / float(mday(imo2)) & - *(xdum2-xdum) - deallocate(xdum, xdum2) - if(trim(name) == "VEGFRA") then - where (vegout <= 0) vegout = 1.E-2 !??? - end if - endif -end subroutine interpolate_vegetation - -!============================================================================== -!============================================================================== - -subroutine fill_template(string, date) - use kwm_string_utilities - use kwm_date_utilities - implicit none - character(len=*), intent(inout) :: string - character(len=*), intent(in) :: date - - character(len=2) :: hh - character(len=13) :: dd - character(len=3) :: hnn - integer :: nn - integer :: idx - - call strrep(string, "", date(1:4)) - call strrep(string, "", date(6:7)) - call strrep(string, "
", date(9:10)) - call strrep(string, "", date(12:13)) - call strrep(string, "", date(1:4)//date(6:7)//date(9:10)//date(12:13)) - - ! - ! Build the filenames for analyses in range 0-(minus)12h - ! - if ( index(string, "") > 0) then - hh = date(12:13) - if (hh == "00") then - dd = date - elseif (hh <= "12") then - dd=date(1:11)//"12" - else - dd=date(1:11)//"00" - call geth_newdate(dd, dd, 24) - endif - call strrep(string, "", dd(1:4)//dd(6:7)//dd(9:10)//dd(12:13)) - endif - -! -! Build the filenames for forecasts in ranges 0-12h, 12-24h, 24-36h, etc. -! - - idx = index(string, " 0) then - hnn = string(idx+5:idx+7) - read(hnn,*) nn - call geth_newdate(dd, date, (nn+12)) - hh = dd(12:13) - if (hh == "00") then - call geth_newdate(dd, dd, -12) - elseif (hh <= "12") then - dd=dd(1:11)//"00" - else - dd=dd(1:11)//"12" - endif - call strrep(string, "", dd(1:4)//dd(6:7)//dd(9:10)//dd(12:13)) - endif - -end subroutine fill_template - -!============================================================================== -!============================================================================== - -subroutine open_netcdf_for_output(output_flnm, ncid, version, ix, jx, geo_em, init) - use module_geo_em - implicit none - character(len=*), intent(in) :: output_flnm - character(len=*), intent(in) :: version - integer, intent(in) :: ix, jx - integer, intent(out) :: ncid - type (geo_em_type), intent(in) :: geo_em - logical, intent(in) :: init - - integer :: ierr, dimid - integer, parameter :: datestrlen = 19 - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_create(trim(output_flnm), NF90_HDF5, ncid) -#else - ierr = nf90_create(trim(output_flnm), NF90_WRITE, ncid) -#endif - call error_handler(ierr, "Problem nf90_create: "//trim(output_flnm)) - - ierr = nf90_def_dim(ncid, "Time", NF90_UNLIMITED, dimid) - call error_handler(ierr, "Problem nf90_def_dim Time") - - ierr = nf90_def_dim(ncid, "DateStrLen", datestrlen, dimid) - call error_handler(ierr, "Problem nf90_def_dim DateStrLen") - - ierr = nf90_def_dim(ncid, "west_east", ix, dimid) - call error_handler(ierr, "Problem nf90_def_dim west_east") - - ierr = nf90_def_dim(ncid, "south_north", jx, dimid) - call error_handler(ierr, "Problem nf90_def_dim south_north") - - if (init) then - - ierr = nf90_def_dim(ncid, "soil_layers_stag", 4, dimid) - call error_handler(ierr, "Problem nf90_def_dim soil_layers_stag") - - end if - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "TITLE", "OUTPUT FROM CONSOLIDATE_GRIB "//version) - call error_handler(ierr, "Problem nf90_put_att TITLE") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "missing_value", -1.E36) - ierr = nf90_put_att(ncid, NF90_GLOBAL, "_FillValue", -1.E36) - call error_handler(ierr, "Problem nf90_put_att missing_value") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "WEST-EAST_GRID_DIMENSION", ix+1) - call error_handler(ierr, "Problem nf90_put_att WEST-EAST_GRID_DIMENSION") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "SOUTH-NORTH_GRID_DIMENSION", jx+1) - call error_handler(ierr, "Problem nf90_put_att SOUTH-NORTH_GRID_DIMENSION") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "DX", geo_em%proj%dx) - call error_handler(ierr, "Problem nf90_put_att DX") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "DY", geo_em%proj%dx) - call error_handler(ierr, "Problem nf90_put_att DY") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT1", geo_em%proj%truelat1) - call error_handler(ierr, "Problem nf90_put_att TRUELAT1") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT2", geo_em%proj%truelat2) - call error_handler(ierr, "Problem nf90_put_att TRUELAT2") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "LA1", geo_em%proj%lat1) - call error_handler(ierr, "Problem nf90_put_att LA1") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "LO1", geo_em%proj%lon1) - call error_handler(ierr, "Problem nf90_put_att LO1") - -!KWM ierr = nf90_put_att(ncid, NF90_GLOBAL, "LA2", geo_em%la2) -!KWM call error_handler(ierr, "Problem nf90_put_att LA2") - -!KWM ierr = nf90_put_att(ncid, NF90_GLOBAL, "LO2", geo_em%lo2) -!KWM call error_handler(ierr, "Problem nf90_put_att LO2") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "STAND_LON", geo_em%proj%stdlon) - call error_handler(ierr, "Problem nf90_put_att STAND_LON") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "MAP_PROJ", geo_em%proj%code) - call error_handler(ierr, "Problem nf90_put_att MAP_PROJ") - - if (init) then - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "GRID_ID", geo_em%grid_id) - call error_handler(ierr, "Problem nf90_put_att GRID_ID") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "ISWATER", geo_em%iswater) - call error_handler(ierr, "Problem nf90_put_att ISWATER") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "ISLAKE", geo_em%islake) - call error_handler(ierr, "Problem nf90_put_att ISLAKE") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "ISURBAN", geo_em%isurban) - call error_handler(ierr, "Problem nf90_put_att ISURBAN") - - ierr = nf90_put_att(ncid, NF90_GLOBAL, "ISICE", geo_em%isice) - call error_handler(ierr, "Problem nf90_put_att ISICE") - - end if - -! -! Even though the LDASIN files should work whichever landuse_datset -! is used at the HRLDAS step, it might be good to know which was -! used for making this dataset: -! - ierr = nf90_put_att(ncid, NF90_GLOBAL, "MMINLU", geo_em%landuse_dataset) - call error_handler(ierr, "Problem nf90_put_att MMINLU") - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "Problem exiting define mode") -end subroutine open_netcdf_for_output - -!============================================================================== -!============================================================================== - -subroutine output_timestring_to_netcdf(ncid, hdate) - ! Write the date/time stamp as a variable to the NetCDF file. - use netcdf - use module_geo_em - implicit none - integer, intent(in) :: ncid - character(len=*), intent(in) :: hdate - - integer, parameter :: DateStrLen = 19 - character(len=1), dimension(DateStrLen, 1) :: output_hdate - integer :: dimid_datestrlen - integer :: dimid_time - integer :: varid - integer :: i - integer :: ierr - - output_hdate(:,1) = (/ "0","0","0","0","-","0","0","-","0","0","_","0","0",":","0","0",":","0","0" /) - do i = 1, len(hdate) - output_hdate(i,1) = hdate(i:i) - enddo - - ierr = nf90_inq_dimid(ncid, "Time", dimid_time) - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem finding dimension 'Time'") - - ierr = nf90_inq_dimid(ncid, "DateStrLen", dimid_datestrlen) - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem finding dimension 'DateStrLen'") - - ierr = nf90_redef(ncid) - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem NF90_REDEF") - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_def_var(ncid, "Times", NF90_CHAR, (/dimid_datestrlen,dimid_Time/), varid, deflate_level=2) -#else - ierr = nf90_def_var(ncid, "Times", NF90_CHAR, (/dimid_datestrlen,dimid_Time/), varid) -#endif - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem defining variable 'Times'") - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem with enddef") - - ierr = nf90_put_var(ncid, varid, output_hdate, (/1,1/), (/datestrlen,1/)) - call error_handler(ierr, "OUTPUT_TIMESTRING_TO_NETCDF: Problem putting variable 'Time'") - -end subroutine output_timestring_to_netcdf - -!============================================================================== -!============================================================================== - -subroutine output_to_netcdf(ncid, name, units, array, idim, jdim) - use module_geo_em - implicit none - integer, intent(in) :: ncid - character(len=*), intent(in) :: name - character(len=*), intent(in) :: units - integer, intent(in) :: idim, jdim - real, dimension(idim,jdim), intent(in) :: array - - integer :: varid, ierr - integer :: dimid_time, dimid_ix, dimid_jx - - ierr = nf90_inq_dimid(ncid, "Time", dimid_time) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'Time'") - - ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'west_east'") - - ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'south_north'") - - ierr = nf90_redef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem NF90_REDEF") - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_ix,dimid_jx,dimid_Time/), varid, deflate_level=2) -#else - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_ix,dimid_jx,dimid_Time/), varid) -#endif - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem defining variable "//trim(name)) - - ierr = nf90_put_att(ncid, varid, "units", trim(units)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting attribute units: "//trim(units)) - - ! ierr = nf90_put_att(ncid, varid, "missing_value", -1.E36) - ierr = nf90_put_att(ncid, varid, "_FillValue", -1.E36) - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem with enddef") - - ierr = nf90_put_var(ncid, varid, array, (/1,1,1/), (/idim,jdim,1/)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting variable "//trim(name)) - -end subroutine output_to_netcdf - -subroutine output_to_netcdf_soil(ncid, name, units, array1, array2, array3, array4, idim, jdim, nsoil) - use module_geo_em - implicit none - integer, intent(in) :: ncid - character(len=*), intent(in) :: name - character(len=*), intent(in) :: units - integer, intent(in) :: idim, jdim, nsoil - real, dimension(idim,jdim), intent(in) :: array1, array2, array3, array4 - - real, dimension(idim,jdim,nsoil) :: array3d - - integer :: varid, ierr - integer :: dimid_time, dimid_ix, dimid_jx, dimid_kx - - array3d(:,:,1) = array1 - array3d(:,:,2) = array2 - array3d(:,:,3) = array3 - array3d(:,:,4) = array4 - - ierr = nf90_inq_dimid(ncid, "Time", dimid_time) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'Time'") - - ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'west_east'") - - ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'south_north'") - - ierr = nf90_inq_dimid(ncid, "soil_layers_stag", dimid_kx) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'soil_layers_stag'") - - ierr = nf90_redef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem NF90_REDEF") - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_ix,dimid_jx,dimid_kx,dimid_Time/), varid, deflate_level=2) -#else - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_ix,dimid_jx,dimid_kx,dimid_Time/), varid) -#endif - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem defining variable "//trim(name)) - - ierr = nf90_put_att(ncid, varid, "units", trim(units)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting attribute units: "//trim(units)) - - ! ierr = nf90_put_att(ncid, varid, "missing_value", -1.E36) - ierr = nf90_put_att(ncid, varid, "_FillValue", -1.E36) - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem with enddef") - - ierr = nf90_put_var(ncid, varid, array3d, (/1,1,1,1/), (/idim,jdim,nsoil,1/)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting variable "//trim(name)) - -end subroutine output_to_netcdf_soil - -subroutine output_to_netcdf_int(ncid, name, units, array, idim, jdim) - use module_geo_em - implicit none - integer, intent(in) :: ncid - character(len=*), intent(in) :: name - character(len=*), intent(in) :: units - integer, intent(in) :: idim, jdim - integer, dimension(idim,jdim), intent(in) :: array - - integer :: varid, ierr - integer :: dimid_time, dimid_ix, dimid_jx - - ierr = nf90_inq_dimid(ncid, "Time", dimid_time) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'Time'") - - ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'west_east'") - - ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'south_north'") - - ierr = nf90_redef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem NF90_REDEF") - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_def_var(ncid, trim(name), NF90_INT, (/dimid_ix,dimid_jx,dimid_Time/), varid, deflate_level=2) -#else - ierr = nf90_def_var(ncid, trim(name), NF90_INT, (/dimid_ix,dimid_jx,dimid_Time/), varid) -#endif - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem defining variable "//trim(name)) - - ierr = nf90_put_att(ncid, varid, "units", trim(units)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting attribute units: "//trim(units)) - - ! ierr = nf90_put_att(ncid, varid, "missing_value", -1.E36) - ierr = nf90_put_att(ncid, varid, "_FillValue", -999999) - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem with enddef") - - ierr = nf90_put_var(ncid, varid, array, (/1,1,1/), (/idim,jdim,1/)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting variable "//trim(name)) - -end subroutine output_to_netcdf_int - -subroutine output_to_netcdf_vector(ncid, name, units, nsoil, array) - use module_geo_em - implicit none - integer, intent(in) :: ncid - character(len=*), intent(in) :: name - character(len=*), intent(in) :: units - integer, intent(in) :: nsoil - real, dimension(nsoil), intent(in) :: array - - integer :: varid, ierr - integer :: dimid_time, dimid_kx - - ierr = nf90_inq_dimid(ncid, "Time", dimid_time) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'Time'") - - ierr = nf90_inq_dimid(ncid, "soil_layers_stag", dimid_kx) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem finding dimension 'soil_layers_stag'") - - ierr = nf90_redef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem NF90_REDEF") - -#ifdef _NETCDF4_COMPRESS_YES_ - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_kx,dimid_Time/), varid, deflate_level=2) -#else - ierr = nf90_def_var(ncid, trim(name), NF90_FLOAT, (/dimid_kx,dimid_Time/), varid) -#endif - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem defining variable "//trim(name)) - - ierr = nf90_put_att(ncid, varid, "units", trim(units)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting attribute units: "//trim(units)) - - ierr = nf90_put_att(ncid, varid, "_FillValue", -1.e36) - - ierr = nf90_enddef(ncid) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem with enddef") - - ierr = nf90_put_var(ncid, varid, array, (/1,1/), (/nsoil,1/)) - call error_handler(ierr, "OUTPUT_TO_NETCDF: Problem putting variable "//trim(name)) - -end subroutine output_to_netcdf_vector - -!============================================================================== -!============================================================================== - -subroutine fillsm(data, mask, nx, ny) - use kwm_grid_utilities - implicit none - integer, intent(in) :: nx - integer, intent(in) :: ny - real, dimension(nx, ny), intent(inout) :: data - logical, dimension(nx, ny), intent(in) :: mask - - integer :: i, k - real, dimension(nx,ny) :: hold - - hold = data - - do i = 1, 100 - call smt121(data, nx, ny, 5) - where(mask) - data = hold - end where - enddo - -end subroutine fillsm - -!============================================================================== -!============================================================================== - -subroutine interp_rainfall_nearest_neighbor(datastruct, newarr, mix, mjx, geo_em) - ! - ! Fill array with rainfall data from - ! - use module_input_data_structure - use kwm_grid_utilities - use module_geo_em - implicit none - type(input_data_type) :: datastruct - type(geo_em_type), intent(in) :: geo_em - integer, intent(in) :: mix, mjx - real, dimension(mix,mjx) :: newarr - - integer :: ii, jj - real :: x, y - integer :: xn, yn - real :: east_longitude - - newarr = 0.0 - - !KWM where (datastruct%data < 0) datastruct%data = 0 - do ii = 1, mix - do jj = 1, mjx - ! Compute the x/y location in the dataset of the HRLDAS point (ii,jj). - - ! call datastruct_lltoxy(geo_em%lat(ii,jj), geo_em%lon(ii,jj), x, y, datastruct) - -#if 0 - ! Lon must be between 0 and 360 E - if (geo_em%lon(ii,jj) < 0) then - east_longitude = geo_em%lon(ii,jj) + 360. - else - east_longitude = geo_em%lon(ii,jj) - endif - - call latlon_to_ij(datastruct%proj, geo_em%lat(ii,jj), east_longitude, x, y) -#else - call latlon_to_ij(datastruct%proj, geo_em%lat(ii,jj), geo_em%lon(ii,jj), x, y) -#endif - - xn = nint(x) - yn = nint(y) - if ((xn>0).and.(yn>0).and.(xn<=size(datastruct%data,1)).and.(yn<=size(datastruct%data,2))) then - newarr(ii,jj) = datastruct%data(xn,yn) - !KWM if (newarr(ii,jj) < 0) newarr(ii,jj) = 0 - if (newarr(ii,jj) < 0) newarr(ii,jj) = -1.E36 - else - newarr(ii,jj) = -1.E36 - endif - enddo - enddo - -end subroutine interp_rainfall_nearest_neighbor - -!============================================================================== -!============================================================================== - -subroutine interp_rainfall(datastruct, newarr, mix, mjx, geo_em) - ! fill array newarr with rainfall data from datastruct - use module_input_data_structure -! use v3_module - use kwm_grid_utilities - use module_geo_em - implicit none - type(input_data_type) :: datastruct - type(geo_em_type), intent(in) :: geo_em - integer, intent(in) :: mix, mjx - real, dimension(mix,mjx) :: newarr, fcount - integer :: i, j - real :: xlat, xlon, xx, yy - real, parameter :: badval = -1.E30 - real :: factor - integer :: ii, jj, iii, jjj - real :: x, y, mx, my, x2, y2 - ! real, save, allocatable, dimension(:,:) :: mxa, mya - real, allocatable, dimension(:,:) :: mxa, mya - integer :: astat - -! integer, parameter :: nsub = 50 -! integer, parameter :: nsub = 15 -! integer, parameter :: nsub = 8 -! integer, parameter :: nsub = 4 - - integer :: nsub - - ! Select nsub to have at least 10x10 source grid cells - ! per destination grid cell. - if(datastruct%proj%code == 0) then ! Make a special exception for lat-lon: Barlage 20150311 - nsub = 10 - else - nsub = ceiling(datastruct%proj%dx*1.E-3 * 10.0 / (geo_em%proj%dx*1.E-3)) - end if - print*, 'nsub = ', nsub - - newarr = 0.0 - fcount = 0.0 - - ! Take a more expensive approach, assigning portions of rainfall - ! field's grid cells to various WRF grid cells as necessary. - - ! We recompute the mapping information every time, in case our source grid has changed. - - ILOOP : do i = 1, datastruct%nx - JLOOP : do j = 1, datastruct%ny - ! Compute (x,y) in WRF grid of point (gx,gy) in precip grid. -!KWM call datastruct_xytoll(float(i), float(j), xlat, xlon, datastruct) - call ij_to_latlon(datastruct%proj, float(i), float(j), xlat, xlon) - call latlon_to_ij(geo_em%proj, xlat, xlon, x, y) - ! Now X and Y are the x and y coordinates in the WRF - ! grid of the RAINFALL point i, j. - - if ((x > -2) .and. (y > -2) .and. (x < mix+2) .and. (y < mjx+2)) then - - do ii = 1, nsub - x = float(i) + 0.5 * (1./float(nsub)-1) + float(ii-1)/float(nsub) - do jj = 1, nsub - y = float(j) + 0.5 *(1./float(nsub)-1) + float(jj-1)/float(nsub) -!KWM call datastruct_xytoll(x, y, xlat, xlon, datastruct) - call ij_to_latlon(datastruct%proj,x, y, xlat, xlon) - call latlon_to_ij(geo_em%proj, xlat, xlon, x2, y2) - - iii = nint(x2) - jjj = nint(y2) - if ((jjj > 0) .and. (iii > 0) .and. (jjj <= mjx) .and. (iii <= mix)) then - if (datastruct%data(i,j) > 0) then - newarr(iii,jjj) = newarr(iii,jjj) + datastruct%data(i,j) - endif - fcount(iii,jjj) = fcount(iii,jjj) + 1.0 - endif - enddo - enddo - - endif - enddo JLOOP - enddo ILOOP - - where (fcount > 0.0) - newarr = newarr / fcount - elsewhere - newarr = -1.E36 - end where - - where (newarr < 0) -! newarr = 0.0 ! -1.E36 - newarr = -1.E36 - end where - -end subroutine interp_rainfall - -!============================================================================== -!============================================================================== - -subroutine another_interp_rainfall(datastruct, newarr, mix, mjx, geo_em) - ! - ! Fill array newarr with rainfall data from datastruct - ! - ! Take an expensive approach, assigning portions of rainfall - ! field's grid cells to various WRF grid cells as necessary. - ! - use module_input_data_structure - use kwm_grid_utilities - use module_geo_em - implicit none - type(input_data_type) :: datastruct - type(geo_em_type), intent(in) :: geo_em - integer, intent(in) :: mix, mjx - real, dimension(mix,mjx) :: newarr, fcount - integer :: i, j - real :: xlat, xlon, xx, yy - real, parameter :: badval = -1.E30 - real :: factor - integer :: ii, jj, iii, jjj - real :: x, y, mx, my - real, save, allocatable, dimension(:,:) :: mxa, mya - integer :: astat - - ! For high-resolution cases, is this just going to exhaust our memory? - real, save, allocatable, dimension(:,:,:,:) :: x2, y2 - - integer :: nsub - - ! We need to check datastruct%iproj, datastruct%nx, datastruct%ny, datastruct%proj%lat1, datastruct%startlon - ! datastruct%proj%latinc, datastruct%proj%loninc, datastruct%dx, datastruct%dy, datastruct%xlonc, datastruct%truelat1, - ! and datastruct%truelat1 to be sure that our datastruct data is not from some different - ! grid. - - logical :: samegrid - integer, save :: iproj = -9999 - integer, save :: nx - integer, save :: ny - real, save :: startlat - real, save :: startlon - real, save :: deltalat - real, save :: deltalon - real, save :: dx - real, save :: dy - real, save :: xlonc - real, save :: truelat1 - real, save :: truelat2 - - ! Check the grid info: - samegrid = .TRUE. - if (iproj /= datastruct%proj%code) samegrid=.FALSE. - if (nx /= datastruct%nx) samegrid=.FALSE. - if (ny /= datastruct%ny) samegrid=.FALSE. - if (startlat /= datastruct%proj%lat1) samegrid=.FALSE. - if (startlon /= datastruct%proj%lon1) samegrid=.FALSE. - if ( dx /= datastruct%proj%dx) samegrid=.FALSE. - if ( dy /= datastruct%proj%dy) samegrid=.FALSE. - if ( xlonc /= datastruct%proj%stdlon) samegrid=.FALSE. - if (truelat1 /= datastruct%proj%truelat1) samegrid=.FALSE. - if (truelat2 /= datastruct%proj%truelat2) samegrid=.FALSE. - - ! Select nsub to have at least 10x10 source grid cells - ! per destination grid cell. - ! nsub = ceiling(datastruct%proj%dx * 10.0 / (geo_em%proj%dx)) - nsub = ceiling(datastruct%proj%dx * 11.0 / geo_em%proj%dx) - - newarr = 0.0 - fcount = 0.0 - - if (.not. samegrid) then - write(*,'("Computing new grid information for rainfall remapping.")') - print*, 'nsub = ', nsub - if (allocated(mxa)) deallocate(mxa) - if (allocated(mya)) deallocate(mya) - if (allocated(x2)) deallocate(x2) - if (allocated(y2)) deallocate(y2) - ! Save this information: - iproj = datastruct%proj%code - nx = datastruct%nx - ny = datastruct%ny - startlat = datastruct%proj%lat1 - startlon = datastruct%proj%lon1 - dx = datastruct%proj%dx - dy = datastruct%proj%dy - xlonc = datastruct%proj%stdlon - truelat1 = datastruct%proj%truelat1 - truelat2 = datastruct%proj%truelat2 - endif - - if (.not. allocated(mxa)) then - allocate(mxa(datastruct%nx,datastruct%ny), stat=astat) - if (astat /= 0) stop "Problem allocating MXA" - allocate(mya(datastruct%nx,datastruct%ny), stat=astat) - if (astat /= 0) stop "Problem allocating MYA" - allocate(x2(datastruct%nx,datastruct%ny,nsub,nsub), stat=astat) - if (astat /= 0) stop "Problem allocating X2" - allocate(y2(datastruct%nx,datastruct%ny,nsub,nsub), stat=astat) - if (astat /= 0) stop "Problem allocating Y2" - ILOOP1 : do i = 1, datastruct%nx - JLOOP1 : do j = 1, datastruct%ny - ! Compute (x,y) in WRF grid of point (gx,gy) in precip grid. - call ij_to_latlon(datastruct%proj, float(i), float(j), xlat, xlon) - call latlon_to_ij(geo_em%proj, xlat, xlon, mxa(i,j), mya(i,j)) - - ! Now MX and MY are the x and y coordinates in the WRF - ! grid of the RAINFALL point i, j. - - if ((mxa(i,j) > -2) .and. (mya(i,j) > -2) .and. (mxa(i,j) < mix+2) .and. (mya(i,j) < mjx+2)) then - do ii = 1, nsub - x = float(i) + 0.5 * (1./float(nsub)-1) + float(ii-1)/float(nsub) - do jj = 1, nsub - y = float(j) + 0.5 *(1./float(nsub)-1) + float(jj-1)/float(nsub) - call ij_to_latlon(datastruct%proj, x, y, xlat, xlon) - call latlon_to_ij(geo_em%proj, xlat, xlon, x2(i,j,ii,jj), y2(i,j,ii,jj)) - enddo - enddo - - endif - - enddo JLOOP1 - enddo ILOOP1 - endif - - ILOOP : do i = 1, datastruct%nx - JLOOP : do j = 1, datastruct%ny - ! Find the WRF coordinates of the DATASTRUCT point in question - if ((mxa(i,j) > -2) .and. (mya(i,j) > -2) .and. (mxa(i,j) < mix+2) .and. (mya(i,j) < mjx+2)) then - - do ii = 1, nsub - do jj = 1, nsub - iii = nint(x2(i,j,ii,jj)) - jjj = nint(y2(i,j,ii,jj)) - if ((jjj > 0) .and. (iii > 0) .and. (jjj <= mjx) .and. (iii <= mix)) then - ! if (datastruct%data(i,j) >0) then - if (datastruct%data(i,j) >=0) then - newarr(iii,jjj) = newarr(iii,jjj) + datastruct%data(i,j) - endif - fcount(iii,jjj) = fcount(iii,jjj) + 1.0 - endif - enddo - enddo - endif - enddo JLOOP - enddo ILOOP - - where (fcount > 0.0) - newarr = newarr / fcount - elsewhere - newarr = -1.E36 - end where - - where (newarr < 0) -! newarr = 0.0 ! -1.E36 - newarr = -1.E36 - end where - -end subroutine another_interp_rainfall - -!============================================================================== -!============================================================================== - -subroutine rescale_sw_time_offset(datastruct) - use module_input_data_structure - use kwm_date_utilities - implicit none - type(input_data_type), intent(inout) :: datastruct - - integer :: idim - integer :: jdim - -!KWM real, parameter :: pi = 3.14159265 - - character(len=16) :: nowdate - integer :: jday - integer :: ihour - integer :: iminute - - integer :: i, j - real :: lat, lon - real :: latrad, lonrad - - real :: gg - real :: declin - real :: tc - real :: SHA - real :: hour - real :: time_of_day - real :: time_of_day00 - real :: cza - real :: cza00 - - idim = datastruct%nx - jdim = datastruct%ny - - ! Get the hour and minute from the date string. - read(datastruct%hdate(12:16), '(I2,1x,I2)') ihour, iminute - if (iminute == 0) return ! No adjusting of SW data necessary - - ! Find the julian day from the date string. - call geth_idts(datastruct%hdate(1:10), datastruct%hdate(1:4)//"-01-01", jday) - jday = jday + 1 - - ! The (GMT) time of day as encoded in the data, hours and fractional minutes. - time_of_day = float(ihour) + float(iminute)/60. - - ! The (GMT) time of day, truncated to the hour. - time_of_day00 = float(ihour) - - write(*, '(12x,"SW offset: Record time:", F6.3, "; HRLDAS analysis time:", F6.3, "; Time offset (hours):", F6.4)') & - time_of_day, time_of_day00, time_of_day - time_of_day00 - - do i = 1, idim - do j = 1, jdim - - ! First, compute the lat/lon at the DATASTRUCT points. -!KWM call datastruct_xytoll(float(i), float(j), lat, lon, datastruct) - call ij_to_latlon(datastruct%proj, float(i), float(j), lat, lon) - latrad = lat*pi/180. - lonrad = lon*pi/180. - - call get_declin(jday, time_of_day, latrad, lonrad, declin, sha) - - ! CZA -- Cosine of the solar zenith angle - cza = sin(latrad)*sin(DECLIN)+cos(latrad)*cos(DECLIN)*cos(SHA) - if (cza < 0.1) cza = 0; - - call get_declin(jday, time_of_day00, latrad, lonrad, declin, sha) - cza00 = sin(latrad)*sin(DECLIN)+cos(latrad)*cos(DECLIN)*cos(SHA) - if (cza00 < 0) cza00 = 0; - - if (datastruct%data(i,j) > 0) then - if (cza < 0.05) then - datastruct%data(i,j) = 0. - else - datastruct%data(i,j) = cza00/cza * datastruct%data(i,j) - endif - endif - enddo - enddo - -end subroutine rescale_sw_time_offset - -!============================================================================== -!============================================================================== - -subroutine get_declin(jday, gmthour, latrad, lonrad, declin, sha) - implicit none - integer, intent(in) :: jday - real, intent(in) :: gmthour - real, intent(in) :: latrad - real, intent(in) :: lonrad - real, intent(out) :: declin - real, intent(out) :: sha - ! real, intent(out) :: sza - - real :: gg, tc - real, parameter :: pi = 3.14159265 - - ! Fractional day of the year, in radians - gg = (360./365.25) * (JDAY+gmthour/24.) * pi/180. - - ! Solar declination angle, in radians. - DECLIN = 0.006918 - 0.399912*cos(gg) + 0.070257*sin(gg) - 0.006758*cos(2.0*gg) + & - 0.000907*sin(2.0*gg) - 0.002697*cos(3.0*gg) + 0.00148*sin(3.0*gg) - - ! Time Correction for solar angle, in radians. Whatever. - TC = 0.000075 + 0.001868*cos(gg) - 0.032077*sin(gg) - 0.014615*cos(2.0*gg) - & - 0.040849*sin(2.0*gg) - - ! Solar Hour Angle, in radians - SHA = ((gmthour-12.0)*15.0)*(pi/180.) + lonrad + TC - ! SHA = (gmthour*15.0)*(pi/180.) + lonrad + TC - - ! ! Solar Zenith Angle, in radians - ! SZA = acos(sin(latrad)*sin(DECLIN)+cos(latrad)*cos(DECLIN)*cos(SHA)) - - ! ! Solar Elevation Angle, in radians. - ! SEA = (pi/2.)-SZA - - ! ! Azimuth Angle - ! AZ = acos((sin(DECLIN)-sin(latrad)*cos(SZA))/(cos(Latrad)*sin(SZA))) - -end subroutine get_declin - -!============================================================================== -!============================================================================== - -subroutine nighttime_SW(hdate, field, idim, jdim, geo_em) - ! IDIM and JDIM are the dimensions of FIELD, which should also be the same - ! as the geo_em%IDIM and geo_em%JDIM dimensions. - use module_geo_em - use kwm_date_utilities - use kwm_grid_utilities - implicit none - character(len=*), intent(in) :: hdate - integer, intent(in) :: idim, jdim - type (geo_em_type), intent(in) :: geo_em - real, dimension(idim,jdim), intent(inout) :: field - - integer :: i, j, jday, ihour, iminute - real :: lat, lon, latrad, lonrad, gmthour - real :: declin, sha, cosza - real, dimension(idim, jdim) :: maskarray - real, dimension(idim, jdim) :: mask2 - - integer :: ii, jj, mcount, iiterm - integer :: cdist - integer :: iimin, iimax, jjmin, jjmax - integer, allocatable, dimension(:,:) :: mtx - - call geth_idts(hdate(1:10), hdate(1:4)//"-01-01", jday) - jday = jday + 1 - read(hdate(12:16), '(I2,1x,I2)') ihour, iminute - gmthour = float(ihour) + float(iminute)/60. - - ! Make a mask array - do i = 1, idim - do j = 1, jdim - latrad = geo_em%lat(i,j) * rad_per_deg - lonrad = geo_em%lon(i,j) * rad_per_deg - call get_declin(jday, gmthour, latrad, lonrad, declin, sha) - - cosza = sin(latrad)*sin(DECLIN)+cos(latrad)*cos(DECLIN)*cos(SHA) - - if (cosza > 0.0) then - maskarray(i,j) = 1.0 - else - maskarray(i,j) = 0.0 - endif - enddo - enddo - - ! Smooth the mask array a bit, to get us a less abrupt change - ! Took this out on 14 Feb 2008. Kind of a hack. - ! call smt121(maskarray, idim, jdim, 10) - - field = field * maskarray - -end subroutine nighttime_SW - -!============================================================================== -!============================================================================== - -subroutine close_flnm(flnm) - implicit none - character(len=*), intent(in) :: flnm - integer :: n - inquire(file=trim(flnm), number=n) - if (n > -1) close(n) -end subroutine close_flnm - -!============================================================================== -!============================================================================== - diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/GLDAS_ELEVATION.grb.gz b/hrldas/HRLDAS_forcing/run/examples/GLDAS/GLDAS_ELEVATION.grb.gz deleted file mode 100644 index 1f3a1795e92fe71c5ebc640bf8d4045bcf9687ef..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 458156 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-integer :: iret, j, kf, k -character*100 :: infile1,infile2,outfile - -call getarg(1,infile1) -call getarg(2,infile2) -call getarg(3,outfile) - -! READ IN SNOW - -call baopenr(lugbin2,infile2,iret) -if(iret/=0) stop 4 - -! Set GRIB1 field identification values to search for - -j=0 ! search from beginning -jgds = -1 -jpds = -1 -jpds(5) = 131 - -call getgb(lugbin2,lugi,maxpts,j,jpds,jgds,kf,k,kpds,kgds,lb,data_in2,iret) -if(iret/=0) stop 5 - -call baclose(lugbin2,iret) -if(iret/=0) stop 6 - -! READ IN RAIN - -call baopenr(lugbin1,infile1,iret) -if(iret/=0) stop 1 - -! Set GRIB1 field identification values to search for - -j=0 ! search from beginning -jgds = -1 -jpds = -1 -jpds(5) = 132 - -call getgb(lugbin1,lugi,maxpts,j,jpds,jgds,kf,k,kpds,kgds,lb,data_in1,iret) -if(iret/=0) stop 2 - -call baclose(lugbin1,iret) -if(iret/=0) stop 3 - -! COMBINE AND PUT INTO TOTAL PRECIP - -kpds(5) = 59 -kpds(22) = 8 - -data_out = data_in1 + data_in2 -where (data_out<0) data_out = 0 - -call baopenw(lugbout,outfile,iret) -if(iret/=0) stop 10 - -call putgb(lugbout,maxpts,kpds,kgds,lb,data_out,iret) -if(iret/=0) stop 11 - -call baclose(lugbout,iret) -if(iret/=0) stop 12 - - -end diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/combine_precips.perl b/hrldas/HRLDAS_forcing/run/examples/GLDAS/combine_precips.perl deleted file mode 100644 index 06b5339..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/combine_precips.perl +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/perl - - -$filename = "combine_precips"; -system ("pgf90 -o $filename $filename.f90 -L/home/barlage/programs/w3lib-1.6 -lw3"); - -@nums = ("00","01","02","03","04","05","06","07","08","09", - "10","11","12","13","14","15","16","17","18","19", - "20","21","22","23","24","25","26","27","28","29", - "30","31"); - -@yrs = ("10"); - -$day_start = 1; -$day_end = 3; - -@hrs = ("00","03","06","09","12","15","18","21"); - -@noleap_days = (0,31,59,90,120,151,181,212,243,273,304,334,365); -@leap_days = (0,31,60,91,121,152,182,213,244,274,305,335,366); - -$data_dir = "/d1/barlage/data/GLDAS/extracted"; -$results_dir = "/d1/barlage/data/GLDAS/extracted"; - -for $yy (@yrs) - { -# This will be the jday time loop - -for($julday=$day_start;$julday<=$day_end;$julday++) - - { - - # This little section finds the text month and day - - @modays = @noleap_days; - if($yy == "00" || $yy == "04" || $yy == "08" || $yy == "12") {@modays = @leap_days} - - for($mo=1;$mo<=12;$mo++) - { - if($julday>$modays[$mo-1] && $julday<=$modays[$mo]) - { - $mon = $mo; - $day = $julday - $modays[$mo-1]; - } - } - -for $hr (@hrs) - { - $file1_in = "$data_dir/Rainf/GLDAS_Rainf.20$yy$nums[$mon]$nums[$day]$hr.grb"; - $file2_in = "$data_dir/Snowf/GLDAS_Snowf.20$yy$nums[$mon]$nums[$day]$hr.grb"; - $file_out = "$results_dir/Precip/GLDAS_Precip.20$yy$nums[$mon]$nums[$day]$hr.grb"; - print ("$file_out \n"); - system ("./$filename $file1_in $file2_in $file_out"); - } - } - } - -system("rm $filename"); diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.f90 b/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.f90 deleted file mode 100644 index 6995c26..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.f90 +++ /dev/null @@ -1,63 +0,0 @@ -implicit none -integer,parameter :: maxpts = 864000, lugbin = 10, lugbout1 = 11, lugbout2 = 12, lugi = 0 -integer,dimension(200) :: jpds,jgds,kpds,kgds -logical*1,dimension(maxpts) :: lb -real,dimension(maxpts) :: data_in, data_out -integer :: iret, j, kf, k -character*100 :: infile,outfile1,outfile2 - -call getarg(1,infile) -call getarg(2,outfile1) -call getarg(3,outfile2) - -! READ IN DUMMY VARIABLE - -call baopenr(lugbin,infile,iret) -if(iret/=0) stop 1 - -! Set GRIB1 field identification values to search for - -j=0 ! search from beginning -jgds = -1 -jpds = -1 -jpds(5) = 32 - -call getgb(lugbin,lugi,maxpts,j,jpds,jgds,kf,k,kpds,kgds,lb,data_in,iret) -if(iret/=0) stop 2 - -call baclose(lugbin,iret) -if(iret/=0) stop 3 - -! Set all wind to U - -kpds(5) = 33 - -data_out = data_in - -call baopenw(lugbout1,outfile1,iret) -if(iret/=0) stop 4 - -call putgb(lugbout1,maxpts,kpds,kgds,lb,data_out,iret) -if(iret/=0) stop 5 - -call baclose(lugbout1,iret) -if(iret/=0) stop 6 - - -! CREATE FAKE V AND SET TO ZERO - -kpds(5) = 34 - -data_out = 0 - -call baopenw(lugbout2,outfile2,iret) -if(iret/=0) stop 7 - -call putgb(lugbout2,maxpts,kpds,kgds,lb,data_out,iret) -if(iret/=0) stop 8 - -call baclose(lugbout2,iret) -if(iret/=0) stop 9 - - -end diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.perl b/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.perl deleted file mode 100644 index 2d57962..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/create_UV.perl +++ /dev/null @@ -1,61 +0,0 @@ -#!/usr/bin/perl - - -$filename = "create_UV"; -system ("pgf90 -o $filename $filename.f90 -L/home/barlage/programs/w3lib-1.6 -lw3"); - -@nums = ("00","01","02","03","04","05","06","07","08","09", - "10","11","12","13","14","15","16","17","18","19", - "20","21","22","23","24","25","26","27","28","29", - "30","31"); - -@yrs = ("10"); - -$day_start = 1; -$day_end = 3; - -@hrs = ("00","03","06","09","12","15","18","21"); - -@noleap_days = (0,31,59,90,120,151,181,212,243,273,304,334,365); -@leap_days = (0,31,60,91,121,152,182,213,244,274,305,335,366); - -$data_dir = "/d1/barlage/data/GLDAS/extracted"; -$results_dir = "/d1/barlage/data/GLDAS/extracted"; - -for $yy (@yrs) - { - -# This will be the jday time loop - -for($julday=$day_start;$julday<=$day_end;$julday++) - - { - - # This little section finds the text month and day - - @modays = @noleap_days; - if($yy == "00" || $yy == "04" || $yy == "08" || $yy == "12") {@modays = @leap_days} - - for($mo=1;$mo<=12;$mo++) - { - if($julday>$modays[$mo-1] && $julday<=$modays[$mo]) - { - $mon = $mo; - $day = $julday - $modays[$mo-1]; - } - } - -for $hr (@hrs) - { - - $file_in = "$data_dir/Wind/GLDAS_Wind.20$yy$nums[$mon]$nums[$day]$hr.grb"; - $file1_out = " $results_dir/U/GLDAS_U.20$yy$nums[$mon]$nums[$day]$hr.grb"; - $file2_out = " $results_dir/V/GLDAS_V.20$yy$nums[$mon]$nums[$day]$hr.grb"; - - print ("$file_in \n"); - system ("./$filename $file_in $file1_out $file2_out"); - } - } - } # End of outer time loop - -system("rm $filename"); diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas.perl b/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas.perl deleted file mode 100644 index 17630a5..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas.perl +++ /dev/null @@ -1,67 +0,0 @@ -#!/usr/bin/perl - -@nums = ("00","01","02","03","04","05","06","07","08","09", - "10","11","12","13","14","15","16","17","18","19", - "20","21","22","23","24","25","26","27","28","29", - "30","31"); - -@yrs = ("10"); - -$day_start = 1; -$day_end = 3; - -@hrs = ("00","03","06","09","12","15","18","21"); - -$cc = "20"; # Manually set the century - -@noleap_days = (0,31,59,90,120,151,181,212,243,273,304,334,365); -@leap_days = (0,31,60,91,121,152,182,213,244,274,305,335,366); - -@vars = ("Rainf","Snowf","Wind","Tair","Qair","Psurf","SWdown","LWdown"); - -$data_dir = "/d1/barlage/data/GLDAS/raw"; -$results_dir = "/d1/barlage/data/GLDAS/extracted"; - -for $var (@vars) - { -for $yy (@yrs) - { - -# This will be the jday time loop - -for($julday=$day_start;$julday<=$day_end;$julday++) - - { - - # This little section finds the text month and day - - @modays = @noleap_days; - if($yy == "92" || $yy == "96") {@modays = @leap_days} - if($yy == "00" || $yy == "04" || $yy == "08" || $yy == "12") {@modays = @leap_days} - - for($mo=1;$mo<=12;$mo++) - { - if($julday>$modays[$mo-1] && $julday<=$modays[$mo]) - { - $mon = $mo; - $day = $julday - $modays[$mo-1]; - } - } - - $jday3 = "$julday"; - if($julday<100) {$jday3 = "0$julday"}; - if($julday<10) {$jday3 = "00$julday"}; - - @infiles = ( `ls $data_dir/GLDAS_NOAH025SUBP_3H.A$cc$yy$jday3*` ); - chop(@infiles); - -for($hr=1;$hr<=8;$hr++) - { - - $file = $infiles[$hr-1]; - - system ("wgrib -s $file | grep ':$var:' | wgrib -i -grib $file -o $results_dir/$var/GLDAS_$var.20$yy$nums[$mon]$nums[$day]$hrs[$hr-1].grb "); - } - } - } # End of outer time loop - } diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas_init.perl b/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas_init.perl deleted file mode 100644 index 08a4198..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/extract_gldas_init.perl +++ /dev/null @@ -1,27 +0,0 @@ -#!/usr/bin/perl - - -$date = "2010010100"; # Manually set the date - -$data_dir = "/d1/barlage/data/GLDAS/raw"; -$results_dir = "/d1/barlage/data/GLDAS/extracted/INIT"; - -$file = "$data_dir/GLDAS_NOAH025SUBP_3H.A2010001.0000.001.2010048211443.grb"; - -@vars = ("SWE","Canopint","AvgSurfT","SoilM","TSoil"); - -for $var (@vars) - { - - if($var eq "SoilM" || $var eq "TSoil") - { - system ("wgrib -s $file | grep ':${var}:0-1' | wgrib -i -grib $file -o $results_dir/GLDAS_${var}_100-200.$date.grb "); - system ("wgrib -s $file | grep ':${var}:0-2' | wgrib -i -grib $file -o $results_dir/GLDAS_${var}_040-100.$date.grb "); - system ("wgrib -s $file | grep ':${var}:0-3' | wgrib -i -grib $file -o $results_dir/GLDAS_${var}_010-040.$date.grb "); - system ("wgrib -s $file | grep ':${var}:0-4' | wgrib -i -grib $file -o $results_dir/GLDAS_${var}_000-010.$date.grb "); - } else - { - system ("wgrib -s $file | grep ':$var:' | wgrib -i -grib $file -o $results_dir/GLDAS_$var.$date.grb "); - } - - } diff --git a/hrldas/HRLDAS_forcing/run/examples/GLDAS/gribtab_GLDAS_NOAH.gtb b/hrldas/HRLDAS_forcing/run/examples/GLDAS/gribtab_GLDAS_NOAH.gtb deleted file mode 100644 index 0a1317d..0000000 --- a/hrldas/HRLDAS_forcing/run/examples/GLDAS/gribtab_GLDAS_NOAH.gtb +++ /dev/null @@ -1,27 +0,0 @@ --1:-1:-1:-1 -001:Psurf:Surface pressure [Pa] -007:Hgt:Terrain height [m] -011:Tair:Near surface air temperature [K] -032:Wind:Near surface wind speed [m/s] -033:Uwind:Near surface wind u-component [m/s] -034:Vwind:Near surface wind v-component [m/s] -051:Qair:Near surface specific humidity [kg/kg] -057:Evap:Total Evapotranspiration [kg/m^2/s] -059:Precip:Total Precipitation rate [kg/m^2/s] -065:SWE:Snow Water Equivalent [kg/m^2] -071:Canopint:Total canopy water storage [kg/m^2] -085:TSoil:Soil temperature [K] -086:SoilM:Soil moisture content [kg/m^2] -099:Qsm:Snowmelt [kg/m^2/s] -111:SWnet:Net Shortwave Radiation [W/m^2] -112:LWnet:Net Longwave Radiation [W/m^2] -121:Qle:Latent Heat Flux [W/m^2] -122:Qh:Sensible Heat Flux [W/m^2] -131:Snowf:Snowfall rate [kg/m^2/s] -132:Rainf:Rainfall rate [kg/m^2/s] -138:AvgSurfT:Average Surface Temperature [K] -155:Qg:Ground Heat Flux [W/m^2] -204:SWdown:Surface incident shortwave radiation [W/m^2] -205:LWdown:Surface incident longwave radiation [W/m^2] -234:Qsb:Subsurface Runoff [kg/m^2/s] -235:Qs:Surface Runoff [kg/m^2/s] diff --git a/hrldas/IO_code/Makefile b/hrldas/IO_code/Makefile index cc43508..86b0c67 100644 --- a/hrldas/IO_code/Makefile +++ b/hrldas/IO_code/Makefile @@ -22,7 +22,7 @@ module_NoahMP_hrldas_driver.o: module_NoahMP_hrldas_driver.F $(RM) $(*).f90 $(CPP) $(CPPFLAGS) $(CPPHRLDAS) $(*).F > $(*).f90 $(COMPILERF90) -o $(@) -c $(F90FLAGS) $(FREESOURCE) $(MODFLAG) -I. \ - -I../../phys_wrf -I../Utility_routines $(NETCDFMOD) $(*).f90 + -I../../noahmp/src -I../../noahmp/utility -I../../noahmp/drivers/hrldas -I../../urban/wrf -I../Utility_routines $(NETCDFMOD) $(*).f90 @echo "" main_hrldas_driver.o: main_hrldas_driver.F @@ -30,7 +30,7 @@ main_hrldas_driver.o: main_hrldas_driver.F $(RM) $(*).f90 $(CPP) $(CPPFLAGS) $(CPPHRLDAS) $(*).F > $(*).f90 $(COMPILERF90) -o $(@) -c $(F90FLAGS) $(FREESOURCE) -I ../MPP -I. \ - -I../../phys_wrf -I../Utility_routines $(NETCDFMOD) $(*).f90 + -I../../noahmp/src -I../../noahmp/utility -I../../noahmp/drivers/hrldas -I../../urban/wrf -I../Utility_routines $(NETCDFMOD) $(*).f90 @echo "" module_hrldas_netcdf_io.o: module_hrldas_netcdf_io.F diff --git a/hrldas/IO_code/main_hrldas_driver.F b/hrldas/IO_code/main_hrldas_driver.F index 6ecfb10..1a07212 100644 --- a/hrldas/IO_code/main_hrldas_driver.F +++ b/hrldas/IO_code/main_hrldas_driver.F @@ -10,8 +10,8 @@ program Noah_hrldas_driver #endif implicit none - integer :: ITIME, NTIME - + integer :: ITIME,NTIME + call land_driver_ini(NTIME) do ITIME = 0, NTIME diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 6e49a89..e15c1bf 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -1,12 +1,18 @@ module module_NoahMP_hrldas_driver + USE NoahmpIOVarType + USE NoahmpIOVarInitMod + USE NoahmpReadNamelistMod + USE NoahmpReadTableMod USE module_hrldas_netcdf_io - USE module_sf_noahmp_groundwater - USE module_sf_noahmpdrv, only: noahmp_init, noahmplsm, noahmp_urban, groundwater_init - USE module_sf_urban, only: urban_param_init, urban_var_init + USE NoahmpInitMainMod + USE NoahmpGroundwaterInitMod + USE NoahmpDriverMainMod + USE GroundWaterMmfMod, only : WTABLE_mmf_noahmp, LATERALFLOW, UPDATEWTD + USE NoahmpUrbanDriverMainMod, only : noahmp_urban + USE module_sf_urban, only : urban_param_init, urban_var_init USE module_date_utilities - USE noahmp_tables, ONLY: LCZ_1_TABLE,LCZ_2_TABLE,LCZ_3_TABLE,LCZ_4_TABLE,LCZ_5_TABLE, & - LCZ_6_TABLE,LCZ_7_TABLE,LCZ_8_TABLE,LCZ_9_TABLE,LCZ_10_TABLE,LCZ_11_TABLE + #ifdef MPP_LAND use module_mpp_land, only: MPP_LAND_PAR_INI, mpp_land_init, getLocalXY, mpp_land_bcast_char use module_mpp_land, only: check_land, my_id , node_info @@ -20,7 +26,6 @@ module module_NoahMP_hrldas_driver #endif #ifdef WRF_HYDRO - REAL, allocatable, DIMENSION(:,:) :: infxsrt,sfcheadrt,soldrain,qtiledrain,ZWATBLE2D integer :: forc_typ, snow_assim, HRLDAS_ini_typ REAL, allocatable, DIMENSION(:,:) :: etpnd, greenfrac, prcp0 real :: etpnd1 @@ -31,698 +36,20 @@ module module_NoahMP_hrldas_driver integer :: finemesh, finemesh_factor #endif - character(len=9), parameter :: version = "v20150506" + character(len=9), parameter :: version = "v20220701" integer :: LDASIN_VERSION -!------------------------------------------------------------------------ -! Begin exact copy of declaration section from driver (substitute allocatable, remove intent) -!------------------------------------------------------------------------ - -! IN only (as defined in WRF) - - INTEGER :: ITIMESTEP ! timestep number - INTEGER :: YR ! 4-digit year - REAL :: JULIAN ! Julian day - REAL, ALLOCATABLE, DIMENSION(:,:) :: COSZEN ! cosine zenith angle - REAL, ALLOCATABLE, DIMENSION(:,:) :: XLAT ! latitude [rad] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: DZ8W ! thickness of atmo layers [m] - REAL :: DTBL ! timestep [s] - REAL, ALLOCATABLE, DIMENSION(:) :: DZS ! thickness of soil layers [m] - INTEGER :: NSOIL ! number of soil layers - INTEGER :: NUM_SOIL_LAYERS ! number of soil layers - REAL :: DX ! horizontal grid spacing [m] - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: IVGTYP ! vegetation type - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: ISLTYP ! soil type - REAL, ALLOCATABLE, DIMENSION(:,:) :: VEGFRA ! vegetation fraction [] - REAL, ALLOCATABLE, DIMENSION(:,:) :: TMN ! deep soil temperature [K] - REAL, ALLOCATABLE, DIMENSION(:,:) :: XLAND ! =2 ocean; =1 land/seaice - REAL, ALLOCATABLE, DIMENSION(:,:) :: XICE ! fraction of grid that is seaice - REAL :: XICE_THRESHOLD! fraction of grid determining seaice - INTEGER :: ISICE ! land cover category for ice - INTEGER :: ISURBAN ! land cover category for urban - INTEGER :: ISWATER ! land cover category for water - INTEGER :: ISLAKE ! land cover category for lake - INTEGER :: IDVEG ! dynamic vegetation (1 -> off ; 2 -> on) with opt_crs = 1 - INTEGER :: IOPT_CRS ! canopy stomatal resistance (1-> Ball-Berry; 2->Jarvis) - INTEGER :: IOPT_BTR ! soil moisture factor for stomatal resistance (1-> Noah; 2-> CLM; 3-> SSiB) - INTEGER :: IOPT_RUN ! runoff and groundwater (1->SIMGM; 2->SIMTOP; 3->Schaake96; 4->BATS) - INTEGER :: IOPT_SFC ! surface layer drag coeff (CH & CM) (1->M-O; 2->Chen97) - INTEGER :: IOPT_FRZ ! supercooled liquid water (1-> NY06; 2->Koren99) - INTEGER :: IOPT_INF ! frozen soil permeability (1-> NY06; 2->Koren99) - INTEGER :: IOPT_RAD ! radiation transfer (1->gap=F(3D,cosz); 2->gap=0; 3->gap=1-Fveg) - INTEGER :: IOPT_ALB ! snow surface albedo (1->BATS; 2->CLASS) - INTEGER :: IOPT_SNF ! rainfall & snowfall (1-Jordan91; 2->BATS; 3->Noah) - INTEGER :: IOPT_TBOT ! lower boundary of soil temperature (1->zero-flux; 2->Noah) - INTEGER :: IOPT_STC ! snow/soil temperature time scheme - INTEGER :: IOPT_GLA ! glacier option (1->phase change; 2->simple) - INTEGER :: IOPT_RSF ! surface resistance option (1->Zeng; 2->simple) - INTEGER :: IZ0TLND ! option of Chen adjustment of Czil (not used) - INTEGER :: IOPT_SOIL ! soil configuration option - INTEGER :: IOPT_PEDO ! soil pedotransfer function option - INTEGER :: IOPT_CROP ! crop model option (0->none; 1->Liu et al.; 2->Gecros) - INTEGER :: IOPT_IRR ! irrigation scheme (0->none; >1 irrigation scheme ON) - INTEGER :: IOPT_IRRM ! irrigation method (0->dynamic; 1-> sprinkler; 2-> micro; 3-> flood) - INTEGER :: IOPT_INFDV!infiltration options for dynamic VIC (1->Philip; 2-> Green-Ampt;3->Smith-Parlange) - INTEGER :: IOPT_TDRN ! drainage option (0->off; 1->simple scheme; 2->Hooghoudt's scheme) - REAL :: soiltstep ! soil time step (s) control namelist option (default=0: same as main NoahMP timstep) - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: T_PHY ! 3D atmospheric temperature valid at mid-levels [K] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: QV_CURR ! 3D water vapor mixing ratio [kg/kg_dry] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: U_PHY ! 3D U wind component [m/s] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: V_PHY ! 3D V wind component [m/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SWDOWN ! solar down at surface [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GLW ! longwave down at surface [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: P8W ! 3D pressure, valid at interface [Pa] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINBL ! precipitation entering land model [mm] per time step - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINBL_tmp! precipitation forcingentering land model [mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWBL ! snow entering land model [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SR ! frozen precip ratio entering land model [-] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINCV ! convective precip forcing [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINNCV ! non-convective precip forcing [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINSHV ! shallow conv. precip forcing [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWNCV ! non-covective snow forcing (subset of rainncv) [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GRAUPELNCV! non-convective graupel forcing (subset of rainncv) [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: HAILNCV ! non-convective hail forcing (subset of rainncv) [mm] - -! Spatially varying fields - - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: bexp_3D ! C-H B exponent - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: smcdry_3D ! Soil Moisture Limit: Dry - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: smcwlt_3D ! Soil Moisture Limit: Wilt - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: smcref_3D ! Soil Moisture Limit: Reference - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: smcmax_3D ! Soil Moisture Limit: Max - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: dksat_3D ! Saturated Soil Conductivity - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: dwsat_3D ! Saturated Soil Diffusivity - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: psisat_3D ! Saturated Matric Potential - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: quartz_3D ! Soil quartz content - REAL, ALLOCATABLE, DIMENSION(:,:) :: refdk_2D ! Reference Soil Conductivity - REAL, ALLOCATABLE, DIMENSION(:,:) :: refkdt_2D ! Soil Infiltration Parameter - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: soilcomp ! Soil sand and clay content [fraction] - REAL, ALLOCATABLE, DIMENSION(:,:) :: soilcl1 ! Soil texture class with depth - REAL, ALLOCATABLE, DIMENSION(:,:) :: soilcl2 ! Soil texture class with depth - REAL, ALLOCATABLE, DIMENSION(:,:) :: soilcl3 ! Soil texture class with depth - REAL, ALLOCATABLE, DIMENSION(:,:) :: soilcl4 ! Soil texture class with depth - REAL, ALLOCATABLE, DIMENSION(:,:) :: irr_frac_2D! irrigation Fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: irr_har_2D ! number of days before harvest date to stop irrigation - REAL, ALLOCATABLE, DIMENSION(:,:) :: irr_lai_2D ! Minimum lai to trigger irrigation - REAL, ALLOCATABLE, DIMENSION(:,:) :: irr_mad_2D ! management allowable deficit (0-1) - REAL, ALLOCATABLE, DIMENSION(:,:) :: filoss_2D ! fraction of flood irrigation loss (0-1) - REAL, ALLOCATABLE, DIMENSION(:,:) :: sprir_rate_2D! mm/h, sprinkler irrigation rate - REAL, ALLOCATABLE, DIMENSION(:,:) :: micir_rate_2D! mm/h, micro irrigation rate - REAL, ALLOCATABLE, DIMENSION(:,:) :: firtfac_2D ! flood application rate factor - REAL, ALLOCATABLE, DIMENSION(:,:) :: ir_rain_2D ! maximum precipitation to stop irrigation trigger - REAL, ALLOCATABLE, DIMENSION(:,:) :: bvic_2d ! VIC model infiltration parameter [-] opt_run=6 - REAL, ALLOCATABLE, DIMENSION(:,:) :: axaj_2D ! Tension water distribution inflection parameter [-] opt_run=7 - REAL, ALLOCATABLE, DIMENSION(:,:) :: bxaj_2D ! Tension water distribution shape parameter [-] opt_run=7 - REAL, ALLOCATABLE, DIMENSION(:,:) :: xxaj_2D ! Free water distribution shape parameter [-] opt_run=7 - REAL, ALLOCATABLE, DIMENSION(:,:) :: bdvic_2d ! VIC model infiltration parameter [-] opt_run=8 - REAL, ALLOCATABLE, DIMENSION(:,:) :: gdvic_2d ! Mean Capillary Drive (m) for infiltration models opt_run=8 - REAL, ALLOCATABLE, DIMENSION(:,:) :: bbvic_2d ! DVIC heterogeniety parameter for infiltration [-] opt_run=8 - REAL, ALLOCATABLE, DIMENSION(:,:) :: KLAT_FAC ! factor multiplier to hydraulic conductivity - REAL, ALLOCATABLE, DIMENSION(:,:) :: TDSMC_FAC ! factor multiplier to field capacity - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_DC ! drainage coefficient for simple - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_DCOEF ! drainge coefficient for Hooghoudt - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_DDRAIN ! depth of drain - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_RADI ! tile radius - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_SPAC ! tile spacing - -! INOUT (with generic LSM equivalent) (as defined in WRF) - - REAL, ALLOCATABLE, DIMENSION(:,:) :: TSK ! surface radiative temperature [K] - REAL, ALLOCATABLE, DIMENSION(:,:) :: HFX ! sensible heat flux [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: QFX ! latent heat flux [kg s-1 m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: LH ! latent heat flux [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GRDFLX ! ground/snow heat flux [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SMSTAV ! soil moisture avail. [not used] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SMSTOT ! total soil water [mm][not used] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SFCRUNOFF ! accumulated surface runoff [m] - REAL, ALLOCATABLE, DIMENSION(:,:) :: UDRUNOFF ! accumulated sub-surface runoff [m] - REAL, ALLOCATABLE, DIMENSION(:,:) :: ALBEDO ! total grid albedo [] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWC ! snow cover fraction [] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SMOISEQ ! volumetric soil moisture [m3/m3] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SMOIS ! volumetric soil moisture [m3/m3] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SH2O ! volumetric liquid soil moisture [m3/m3] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: TSLB ! soil temperature [K] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOW ! snow water equivalent [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWH ! physical snow depth [m] - REAL, ALLOCATABLE, DIMENSION(:,:) :: CANWAT ! total canopy water + ice [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACSNOM ! accumulated snow melt leaving pack - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACSNOW ! accumulated snow on grid - REAL, ALLOCATABLE, DIMENSION(:,:) :: EMISS ! surface bulk emissivity - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSFC ! bulk surface specific humidity - -! INOUT (with no Noah LSM equivalent) (as defined in WRF) - - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: ISNOWXY ! actual no. of snow layers - REAL, ALLOCATABLE, DIMENSION(:,:) :: TVXY ! vegetation leaf temperature - REAL, ALLOCATABLE, DIMENSION(:,:) :: TGXY ! bulk ground surface temperature - REAL, ALLOCATABLE, DIMENSION(:,:) :: CANICEXY ! canopy-intercepted ice (mm) - REAL, ALLOCATABLE, DIMENSION(:,:) :: CANLIQXY ! canopy-intercepted liquid water (mm) - REAL, ALLOCATABLE, DIMENSION(:,:) :: EAHXY ! canopy air vapor pressure (pa) - REAL, ALLOCATABLE, DIMENSION(:,:) :: TAHXY ! canopy air temperature (k) - REAL, ALLOCATABLE, DIMENSION(:,:) :: CMXY ! bulk momentum drag coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHXY ! bulk sensible heat exchange coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: FWETXY ! wetted or snowed fraction of the canopy (-) - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNEQVOXY ! snow mass at last time step(mm h2o) - REAL, ALLOCATABLE, DIMENSION(:,:) :: ALBOLDXY ! snow albedo at last time step (-) - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNOWXY ! snowfall on the ground [mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: QRAINXY ! rainfall on the ground [mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: WSLAKEXY ! lake water storage [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: ZWTXY ! water table depth [m] - REAL, ALLOCATABLE, DIMENSION(:,:) :: WAXY ! water in the "aquifer" [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: WTXY ! groundwater storage [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SMCWTDXY ! groundwater storage [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: DEEPRECHXY! groundwater storage [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RECHXY ! groundwater storage [mm] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: TSNOXY ! snow temperature [K] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: ZSNSOXY ! snow layer depth [m] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SNICEXY ! snow layer ice [mm] - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SNLIQXY ! snow layer liquid water [mm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: LFMASSXY ! leaf mass [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RTMASSXY ! mass of fine roots [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: STMASSXY ! stem mass [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: WOODXY ! mass of wood (incl. woody roots) [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GRAINXY ! XING mass of grain!THREE - REAL, ALLOCATABLE, DIMENSION(:,:) :: GDDXY ! XINGgrowingdegressday - REAL, ALLOCATABLE, DIMENSION(:,:) :: STBLCPXY ! stable carbon in deep soil [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: FASTCPXY ! short-lived carbon, shallow soil [g/m2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: LAI ! leaf area index - REAL, ALLOCATABLE, DIMENSION(:,:) :: LAI_tmp ! leaf area index - REAL, ALLOCATABLE, DIMENSION(:,:) :: XSAIXY ! stem area index - REAL, ALLOCATABLE, DIMENSION(:,:) :: TAUSSXY ! snow age factor - - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: gecros_state ! gecros crop model packed state vector - -!irrigation - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRFRACT ! irrigation fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: SIFRACT ! sprinkler irrigation fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: MIFRACT ! micro irrigation fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: FIFRACT ! flood irrigation fraction - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: IRNUMSI ! irrigation event number, Sprinkler - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: IRNUMMI ! irrigation event number, Micro - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: IRNUMFI ! irrigation event number, Flood - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRWATSI ! irrigation water amount [m] to be applied, Sprinkler - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRWATMI ! irrigation water amount [m] to be applied, Micro - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRWATFI ! irrigation water amount [m] to be applied, Flood - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRELOSS ! loss of irrigation water to evaporation,sprinkler [m/timestep] - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRSIVOL ! amount of irrigation by sprinkler (mm) - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRMIVOL ! amount of irrigation by micro (mm) - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRFIVOL ! amount of irrigation by micro (mm) - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRRSPLH ! latent heating from sprinkler evaporation (w/m2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: LOCTIM ! local time - -! OUT (with no Noah LSM equivalent) (as defined in WRF) - - REAL, ALLOCATABLE, DIMENSION(:,:) :: T2MVXY ! 2m temperature of vegetation part - REAL, ALLOCATABLE, DIMENSION(:,:) :: T2MBXY ! 2m temperature of bare ground part - REAL, ALLOCATABLE, DIMENSION(:,:) :: Q2MVXY ! 2m mixing ratio of vegetation part - REAL, ALLOCATABLE, DIMENSION(:,:) :: Q2MBXY ! 2m mixing ratio of bare ground part - REAL, ALLOCATABLE, DIMENSION(:,:) :: TRADXY ! surface radiative temperature (k) - REAL, ALLOCATABLE, DIMENSION(:,:) :: NEEXY ! net ecosys exchange (g/m2/s CO2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: GPPXY ! gross primary assimilation [g/m2/s C] - REAL, ALLOCATABLE, DIMENSION(:,:) :: NPPXY ! net primary productivity [g/m2/s C] - REAL, ALLOCATABLE, DIMENSION(:,:) :: FVEGXY ! Noah-MP vegetation fraction [-] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RUNSFXY ! surface runoff [mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: RUNSBXY ! subsurface runoff [mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: ECANXY ! evaporation of intercepted water (mm/s) - REAL, ALLOCATABLE, DIMENSION(:,:) :: EDIRXY ! soil surface evaporation rate (mm/s] - REAL, ALLOCATABLE, DIMENSION(:,:) :: ETRANXY ! transpiration rate (mm/s) - REAL, ALLOCATABLE, DIMENSION(:,:) :: FSAXY ! total absorbed solar radiation (w/m2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: FIRAXY ! total net longwave rad (w/m2) [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: APARXY ! photosyn active energy by canopy (w/m2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: PSNXY ! total photosynthesis (umol co2/m2/s) [+] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SAVXY ! solar rad absorbed by veg. (w/m2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: SAGXY ! solar rad absorbed by ground (w/m2) - REAL, ALLOCATABLE, DIMENSION(:,:) :: RSSUNXY ! sunlit leaf stomatal resistance (s/m) - REAL, ALLOCATABLE, DIMENSION(:,:) :: RSSHAXY ! shaded leaf stomatal resistance (s/m) - REAL, ALLOCATABLE, DIMENSION(:,:) :: BGAPXY ! between gap fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: WGAPXY ! within gap fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: TGVXY ! under canopy ground temperature[K] - REAL, ALLOCATABLE, DIMENSION(:,:) :: TGBXY ! bare ground temperature [K] - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHVXY ! sensible heat exchange coefficient vegetated - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHBXY ! sensible heat exchange coefficient bare-ground - REAL, ALLOCATABLE, DIMENSION(:,:) :: SHGXY ! veg ground sen. heat [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SHCXY ! canopy sen. heat [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SHBXY ! bare sensible heat [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: EVGXY ! veg ground evap. heat [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: EVBXY ! bare soil evaporation [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GHVXY ! veg ground heat flux [w/m2] [+ to soil] - REAL, ALLOCATABLE, DIMENSION(:,:) :: GHBXY ! bare ground heat flux [w/m2] [+ to soil] - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRGXY ! veg ground net LW rad. [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRCXY ! canopy net LW rad. [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: IRBXY ! bare net longwave rad. [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: TRXY ! transpiration [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: EVCXY ! canopy evaporation heat [w/m2] [+ to atm] - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHLEAFXY ! leaf exchange coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHUCXY ! under canopy exchange coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHV2XY ! veg 2m exchange coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHB2XY ! bare 2m exchange coefficient - REAL, ALLOCATABLE, DIMENSION(:,:) :: RS ! Total stomatal resistance (s/m) - REAL, ALLOCATABLE, DIMENSION(:,:) :: Z0 ! roughness length output to WRF - REAL, ALLOCATABLE, DIMENSION(:,:) :: ZNT ! roughness length output to WRF - REAL, ALLOCATABLE, DIMENSION(:,:) :: QTDRAIN ! tile drain discharge (mm) -! additional output variables - REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHXY ! precipitation advected heat - REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHGXY ! precipitation advected heat - REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHBXY ! precipitation advected heat - REAL, ALLOCATABLE, DIMENSION(:,:) :: PAHVXY ! precipitation advected heat - REAL, ALLOCATABLE, DIMENSION(:,:) :: QINTSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QINTRXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QDRIPSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QDRIPRXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHROSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QTHRORXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNSUBXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QMELTXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNFROXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSUBCXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QFROCXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QEVACXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QDEWCXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QFRZCXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QMELTCXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSNBOTXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: PONDINGXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: FPICEXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: RAINLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCTLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCQLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCPLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCZLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: FORCWLSM - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_SSOILXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_QINSURXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_QSEVAXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: EFLXBXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: SOILENERGY - REAL, ALLOCATABLE, DIMENSION(:,:) :: SNOWENERGY - REAL, ALLOCATABLE, DIMENSION(:,:) :: CANHSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_DWATERXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_PRCPXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_ECANXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_ETRANXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: ACC_EDIRXY - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: ACC_ETRANIXY - - INTEGER :: ids,ide, jds,jde, kds,kde, & ! d -> domain - & ims,ime, jms,jme, kms,kme, & ! m -> memory - & its,ite, jts,jte, kts,kte ! t -> tile - -!------------------------------------------------------------------------ -! Needed for NoahMP init -!------------------------------------------------------------------------ - - LOGICAL :: FNDSOILW ! soil water present in input - LOGICAL :: FNDSNOWH ! snow depth present in input - REAL, ALLOCATABLE, DIMENSION(:,:) :: CHSTARXY ! for consistency with MP_init; delete later - REAL, ALLOCATABLE, DIMENSION(:,:) :: SEAICE ! seaice fraction - -!------------------------------------------------------------------------ -! Needed for MMF_RUNOFF (IOPT_RUN = 5); not part of MP driver in WRF -!------------------------------------------------------------------------ - - REAL, ALLOCATABLE, DIMENSION(:,:) :: MSFTX - REAL, ALLOCATABLE, DIMENSION(:,:) :: MSFTY - REAL, ALLOCATABLE, DIMENSION(:,:) :: EQZWT - REAL, ALLOCATABLE, DIMENSION(:,:) :: RIVERBEDXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: RIVERCONDXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: PEXPXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: FDEPTHXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: AREAXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QRFSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSPRINGSXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QRFXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSPRINGXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QSLATXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: QLATXY - REAL, ALLOCATABLE, DIMENSION(:,:) :: RECHCLIM - REAL, ALLOCATABLE, DIMENSION(:,:) :: RIVERMASK - REAL, ALLOCATABLE, DIMENSION(:,:) :: NONRIVERXY - REAL :: WTDDT = 30.0 ! frequency of groundwater call [minutes] - INTEGER :: STEPWTD ! step of groundwater call - -!------------------------------------------------------------------------ -! Needed for TILE DRAINAGE IF IOPT_TDRN = 1 OR 2 -!------------------------------------------------------------------------ - REAL, ALLOCATABLE, DIMENSION(:,:) :: TD_FRACTION - -!------------------------------------------------------------------------ -! Needed for crop model (OPT_CROP=1) -!------------------------------------------------------------------------ - - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: PGSXY - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: CROPCAT - REAL , ALLOCATABLE, DIMENSION(:,:) :: PLANTING - REAL , ALLOCATABLE, DIMENSION(:,:) :: HARVEST - REAL , ALLOCATABLE, DIMENSION(:,:) :: SEASON_GDD - REAL , ALLOCATABLE, DIMENSION(:,:,:) :: CROPTYPE - -!------------------------------------------------------------------------ -! Single- and Multi-layer Urban Models -!------------------------------------------------------------------------ - - INTEGER :: num_urban_atmosphere ! atmospheric levels including ZLVL for BEP/BEM models - - REAL :: GMT ! Hour of day (fractional) (needed for urban) - INTEGER :: JULDAY ! Integer day (needed for urban) - REAL, ALLOCATABLE, DIMENSION(:,:) :: HRANG ! hour angle (needed for urban) - REAL :: DECLIN ! declination (needed for urban) - INTEGER :: num_roof_layers = 4 - INTEGER :: num_road_layers = 4 - INTEGER :: num_wall_layers = 4 - REAL, ALLOCATABLE, DIMENSION(:,:) :: cmr_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: chr_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: cmc_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: chc_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: cmgr_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: chgr_sfcdif - REAL, ALLOCATABLE, DIMENSION(:,:) :: tr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: tb_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: tg_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: tc_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: qc_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: uc_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: xxxr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: xxxb_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: xxxg_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: xxxc_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: trl_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tbl_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tgl_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: sh_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: lh_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: g_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: rn_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: ts_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: psim_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: psih_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: u10_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: v10_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: GZ1OZ0_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: AKMS_URB2D - REAL, ALLOCATABLE, DIMENSION(:,:) :: th2_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: q2_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: ust_urb2d - REAL, ALLOCATABLE, DIMENSION(:) :: dzr - REAL, ALLOCATABLE, DIMENSION(:) :: dzb - REAL, ALLOCATABLE, DIMENSION(:) :: dzg - REAL, ALLOCATABLE, DIMENSION(:,:) :: cmcr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: tgr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tgrl_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: smr_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: drelr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: drelb_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: drelg_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: flxhumr_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: flxhumb_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: flxhumg_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: frc_urb2d - INTEGER, ALLOCATABLE, DIMENSION(:,:) :: utype_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: chs - REAL, ALLOCATABLE, DIMENSION(:,:) :: chs2 - REAL, ALLOCATABLE, DIMENSION(:,:) :: cqs2 - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: trb_urb4d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tw1_urb4d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tw2_urb4d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tgb_urb4d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tlev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: qlev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tw1lev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tw2lev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tglev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: tflev_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: sf_ac_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: lf_ac_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: cm_ac_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: sfvent_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: lfvent_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfwin1_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfwin2_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfw1_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfw2_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfr_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sfg_urb3d - REAL, ALLOCATABLE, DIMENSION(:,:) :: lp_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: hi_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: lb_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: hgt_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: mh_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:) :: stdh_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: lf_urb2d - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: theta_urban - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: u_urban - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: v_urban - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: dz_urban - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: rho_urban - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: p_urban - REAL, ALLOCATABLE, DIMENSION(:,:) :: ust - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: a_u_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: a_v_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: a_t_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: a_q_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: a_e_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: b_u_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: b_v_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: b_t_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: b_q_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: b_e_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: dlg_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: dl_u_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: sf_bep - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: vl_bep - REAL :: height_urban -! new urban variables for green roof, PVP for BEP_BEM scheme=3, Zonato et al., 2021 - REAL, ALLOCATABLE, DIMENSION(:,:) :: EP_PV_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:) :: QGR_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:) :: TGR_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:) :: DRAINGR_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: T_PV_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: TRV_URB4D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: QR_URB4D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: DRAIN_URB4D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: SFRV_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: LFRV_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: DGR_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: DG_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: LFR_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:,:) :: LFG_URB3D - REAL, ALLOCATABLE, DIMENSION(:,:) :: SWDDIR ! solar down at surface [W m-2] - REAL, ALLOCATABLE, DIMENSION(:,:) :: SWDDIF - -!------------------------------------------------------------------------ -! 2D variables not used in WRF - should be removed? -!------------------------------------------------------------------------ - - REAL, ALLOCATABLE, DIMENSION(:,:) :: XLONG ! longitude - REAL, ALLOCATABLE, DIMENSION(:,:) :: TERRAIN ! terrain height - REAL, ALLOCATABLE, DIMENSION(:,:) :: GVFMIN ! annual minimum in vegetation fraction - REAL, ALLOCATABLE, DIMENSION(:,:) :: GVFMAX ! annual maximum in vegetation fraction - -!------------------------------------------------------------------------ -! End 2D variables not used in WRF -!------------------------------------------------------------------------ - - CHARACTER(LEN=256) :: MMINSL = 'STAS' ! soil classification - CHARACTER(LEN=256) :: LLANDUSE ! (=USGS, using USGS landuse classification) - -!------------------------------------------------------------------------ -! Timing: -!------------------------------------------------------------------------ - - INTEGER :: NTIME ! timesteps - integer :: clock_count_1 = 0 - integer :: clock_count_2 = 0 - integer :: clock_rate = 0 - real :: timing_sum = 0.0 - - integer :: sflx_count_sum - integer :: count_before_sflx - integer :: count_after_sflx - -!--------------------------------------------------------------------- -! DECLARE/Initialize constants -!--------------------------------------------------------------------- - - INTEGER :: I - INTEGER :: J - INTEGER :: SLOPETYP - INTEGER :: YEARLEN - INTEGER, PARAMETER :: NSNOW = 3 ! number of snow layers fixed to 3 - REAL, PARAMETER :: undefined_real = 9.9692099683868690E36 ! NetCDF float FillValue - INTEGER, PARAMETER :: undefined_int = -2147483647 ! NetCDF integer FillValue - LOGICAL :: update_lai, update_veg - INTEGER :: spinup_loop - LOGICAL :: reset_spinup_date - -!--------------------------------------------------------------------- -! File naming, parallel -!--------------------------------------------------------------------- - - character(len=19) :: olddate, newdate, startdate - character :: hgrid - integer :: igrid - logical :: lexist - integer :: imode - integer :: ixfull - integer :: jxfull - integer :: ixpar - integer :: jxpar - integer :: xstartpar - integer :: ystartpar - integer :: rank = 0 - CHARACTER(len=256) :: inflnm, outflnm, inflnm_template - logical :: restart_flag - character(len=256) :: restart_flnm - integer :: ierr - -!--------------------------------------------------------------------- -! Attributes from LDASIN input file (or HRLDAS_SETUP_FILE, as the case may be) -!--------------------------------------------------------------------- - - INTEGER :: IX - INTEGER :: JX - REAL :: DY - REAL :: TRUELAT1 - REAL :: TRUELAT2 - REAL :: CEN_LON - INTEGER :: MAPPROJ - REAL :: LAT1 - REAL :: LON1 - #ifdef MPP_LAND integer ix_tmp, jx_tmp #endif -!--------------------------------------------------------------------- -! NAMELIST start -!--------------------------------------------------------------------- + type(NoahmpIO_type) :: NoahmpIO - character(len=256) :: indir - ! nsoil defined above - integer :: forcing_timestep - integer :: noah_timestep - integer :: start_year - integer :: start_month - integer :: start_day - integer :: start_hour - integer :: start_min - character(len=256) :: outdir = "." - character(len=256) :: restart_filename_requested = " " - integer :: restart_frequency_hours - integer :: output_timestep - integer :: spinup_loops - - integer :: sf_urban_physics = 0 - integer :: use_wudapt_lcz = 0 ! add for LCZ urban - integer :: num_urban_ndm = 2 - integer :: num_urban_ng = 10 - integer :: num_urban_nwr = 10 - integer :: num_urban_ngb = 10 - integer :: num_urban_nf = 10 - integer :: num_urban_nz = 18 - integer :: num_urban_nbui = 15 - integer :: num_urban_hi = 15 - real :: urban_atmosphere_thickness = 2.0 -! new urban var for green roof and solar panel - integer :: num_urban_ngr = 10 ! = ngr_u in bep_bem.F + integer :: I + integer :: J + integer :: imode - ! derived urban dimensions - - integer :: urban_map_zrd - integer :: urban_map_zwd - integer :: urban_map_gd - integer :: urban_map_zd - integer :: urban_map_zdf - integer :: urban_map_bd - integer :: urban_map_wd - integer :: urban_map_gbd - integer :: urban_map_fbd - integer :: urban_map_zgrd - integer :: max_urban_dim ! C. He: maximum urban dimension for urban variable - - character(len=256) :: forcing_name_T = "T2D" - character(len=256) :: forcing_name_Q = "Q2D" - character(len=256) :: forcing_name_U = "U2D" - character(len=256) :: forcing_name_V = "V2D" - character(len=256) :: forcing_name_P = "PSFC" - character(len=256) :: forcing_name_LW = "LWDOWN" - character(len=256) :: forcing_name_SW = "SWDOWN" - character(len=256) :: forcing_name_PR = "RAINRATE" - character(len=256) :: forcing_name_SN = "" - - integer :: dynamic_veg_option - integer :: canopy_stomatal_resistance_option - integer :: btr_option - integer :: runoff_option - integer :: surface_drag_option - integer :: supercooled_water_option - integer :: frozen_soil_option - integer :: radiative_transfer_option - integer :: snow_albedo_option - integer :: pcp_partition_option - integer :: tbot_option - integer :: temp_time_scheme_option - integer :: glacier_option - integer :: surface_resistance_option - - integer :: soil_data_option = 1 - integer :: pedotransfer_option = 1 - integer :: crop_option = 0 - integer :: irrigation_option = 0 - integer :: irrigation_method = 0 - integer :: dvic_infiltration_option = 1 - integer :: tile_drainage_option = 0 - real :: soil_timestep_option = 0.0 - integer :: noahmp_output = 0 - - integer :: split_output_count = 1 - logical :: skip_first_output = .false. - integer :: khour - integer :: kday - real :: zlvl - character(len=256) :: hrldas_setup_file = " " - character(len=256) :: spatial_filename = " " - character(len=256) :: external_veg_filename_template = " " - character(len=256) :: external_lai_filename_template = " " - character(len=256) :: agdata_flnm = " " - character(len=256) :: tdinput_flnm = " " - integer :: xstart = 1 - integer :: ystart = 1 - integer :: xend = 0 - integer :: yend = 0 - integer, PARAMETER :: MAX_SOIL_LEVELS = 10 ! maximum soil levels in namelist - REAL, DIMENSION(MAX_SOIL_LEVELS) :: soil_thick_input ! depth to soil interfaces from namelist [m] - - namelist / NOAHLSM_OFFLINE / & -#ifdef WRF_HYDRO - finemesh,finemesh_factor,forc_typ, snow_assim , GEO_STATIC_FLNM, HRLDAS_ini_typ, & -#endif - indir, nsoil, soil_thick_input, forcing_timestep, noah_timestep, & - start_year, start_month, start_day, start_hour, start_min, & - outdir, skip_first_output, & - restart_filename_requested, restart_frequency_hours, output_timestep, & - spinup_loops, & - forcing_name_T,forcing_name_Q,forcing_name_U,forcing_name_V,forcing_name_P, & - forcing_name_LW,forcing_name_SW,forcing_name_PR,forcing_name_SN, & - - dynamic_veg_option, canopy_stomatal_resistance_option, & - btr_option, runoff_option, surface_drag_option, supercooled_water_option, & - frozen_soil_option, radiative_transfer_option, snow_albedo_option, & - pcp_partition_option, tbot_option, temp_time_scheme_option, & - glacier_option, surface_resistance_option, & - irrigation_option, irrigation_method, dvic_infiltration_option, & - tile_drainage_option,soil_timestep_option,noahmp_output,& - soil_data_option, pedotransfer_option, crop_option, & - sf_urban_physics,use_wudapt_lcz,num_urban_hi,urban_atmosphere_thickness, & - num_urban_ndm,num_urban_ng,num_urban_nwr ,num_urban_ngb , & - num_urban_nf ,num_urban_nz,num_urban_nbui, num_urban_ngr,& - split_output_count, & - khour, kday, zlvl, hrldas_setup_file, & - spatial_filename, agdata_flnm, tdinput_flnm, & - external_veg_filename_template, external_lai_filename_template, & - xstart, xend, ystart, yend - - contains +contains subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) @@ -737,68 +64,20 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ! initilization for stand alone parallel code. integer, optional, intent(in) :: wrfits,wrfite,wrfjts,wrfjte + + !local + integer :: xstart, xend, ystart, yend, ixfull, jxfull + #ifdef MPP_LAND call MPP_LAND_INIT() #endif -! Initialize namelist variables to dummy values, so we can tell -! if they have not been set properly. - - nsoil = -999 - soil_thick_input = -999 - dtbl = -999 - start_year = -999 - start_month = -999 - start_day = -999 - start_hour = -999 - start_min = -999 - khour = -999 - kday = -999 - zlvl = -999 - forcing_timestep = -999 - noah_timestep = -999 - output_timestep = -999 - spinup_loops = 0 - restart_frequency_hours = -999 - - open(30, file="namelist.hrldas", form="FORMATTED") - read(30, NOAHLSM_OFFLINE, iostat=ierr) - if (ierr /= 0) then - write(*,'(/," ***** ERROR: Problem reading namelist NOAHLSM_OFFLINE",/)') - rewind(30) - read(30, NOAHLSM_OFFLINE) - stop " ***** ERROR: Problem reading namelist NOAHLSM_OFFLINE" - endif - close(30) - - dtbl = real(noah_timestep) - num_soil_layers = nsoil ! because surface driver uses the long form - IDVEG = dynamic_veg_option ! transfer from namelist to driver format - IOPT_CRS = canopy_stomatal_resistance_option - IOPT_BTR = btr_option - IOPT_RUN = runoff_option - IOPT_SFC = surface_drag_option - IOPT_FRZ = supercooled_water_option - IOPT_INF = frozen_soil_option - IOPT_RAD = radiative_transfer_option - IOPT_ALB = snow_albedo_option - IOPT_SNF = pcp_partition_option - IOPT_TBOT = tbot_option - IOPT_STC = temp_time_scheme_option - IOPT_GLA = glacier_option - IOPT_RSF = surface_resistance_option - IOPT_SOIL = soil_data_option - IOPT_PEDO = pedotransfer_option - IOPT_CROP = crop_option - IOPT_IRR = irrigation_option - IOPT_IRRM = irrigation_method - IOPT_INFDV= dvic_infiltration_option - IOPT_TDRN = tile_drainage_option - soiltstep = soil_timestep_option - !--------------------------------------------------------------------- -! NAMELIST end +! read in input data from table and initial file !--------------------------------------------------------------------- + + call NoahmpReadNamelist(NoahmpIO) + !C.He: add for urban update in WRFv4.3 !----------------------------------------------------------------------- @@ -808,167 +87,33 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ! assignment, "nurbm", is actually USE associated from the BEP BEM ! helper module. !----------------------------------------------------------------------- - IF ( use_wudapt_lcz .EQ. 0 ) THEN + IF ( NoahmpIO%use_wudapt_lcz .EQ. 0 ) THEN nurbm = 3 - ELSE IF ( use_wudapt_lcz .EQ. 1 ) THEN + ELSE IF ( NoahmpIO%use_wudapt_lcz .EQ. 1 ) THEN nurbm = 11 END IF - -!--------------------------------------------------------------------- -! NAMELIST check begin -!--------------------------------------------------------------------- - - update_lai = .true. ! default: use LAI if present in forcing file - if (dynamic_veg_option == 1 .or. dynamic_veg_option == 2 .or. & - dynamic_veg_option == 3 .or. dynamic_veg_option == 4 .or. & - dynamic_veg_option == 5 .or. dynamic_veg_option == 6) & ! remove dveg=10 and add dveg=1,3,4 into the update_lai flag false condition - update_lai = .false. - - update_veg = .false. ! default: don't use VEGFRA if present in forcing file - if (dynamic_veg_option == 1 .or. dynamic_veg_option == 6 .or. dynamic_veg_option == 7) & - update_veg = .true. - - if (nsoil < 0) then - stop " ***** ERROR: NSOIL must be set in the namelist." - endif - - if ((khour < 0) .and. (kday < 0)) then - write(*, '(" ***** Namelist error: ************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** Either KHOUR or KDAY must be defined.")') - write(*, '(" ***** ")') - stop - else if (( khour < 0 ) .and. (kday > 0)) then - khour = kday * 24 - else if ((khour > 0) .and. (kday > 0)) then - write(*, '("Namelist warning: KHOUR and KDAY both defined.")') - else - ! all is well. KHOUR defined - endif - - if (forcing_timestep < 0) then - write(*, *) - write(*, '(" ***** Namelist error: *****************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** FORCING_TIMESTEP needs to be set greater than zero.")') - write(*, '(" ***** ")') - write(*, *) - stop - endif - - if (noah_timestep < 0) then - write(*, *) - write(*, '(" ***** Namelist error: *****************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** NOAH_TIMESTEP needs to be set greater than zero.")') - write(*, '(" ***** 900 seconds is recommended. ")') - write(*, '(" ***** ")') - write(*, *) - stop - endif - - ! - ! Check that OUTPUT_TIMESTEP fits into NOAH_TIMESTEP: - ! - if (output_timestep /= 0) then - if (mod(output_timestep, noah_timestep) > 0) then - write(*, *) - write(*, '(" ***** Namelist error: *********************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** OUTPUT_TIMESTEP should set to an integer multiple of NOAH_TIMESTEP.")') - write(*, '(" ***** OUTPUT_TIMESTEP = ", I12, " seconds")') output_timestep - write(*, '(" ***** NOAH_TIMESTEP = ", I12, " seconds")') noah_timestep - write(*, '(" ***** ")') - write(*, *) - stop - endif - endif - - ! - ! Check that RESTART_FREQUENCY_HOURS fits into NOAH_TIMESTEP: - ! - if (restart_frequency_hours /= 0) then - if (mod(restart_frequency_hours*3600, noah_timestep) > 0) then - write(*, *) - write(*, '(" ***** Namelist error: ******************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** RESTART_FREQUENCY_HOURS (converted to seconds) should set to an ")') - write(*, '(" ***** integer multiple of NOAH_TIMESTEP.")') - write(*, '(" ***** RESTART_FREQUENCY_HOURS = ", I12, " hours: ", I12, " seconds")') & - restart_frequency_hours, restart_frequency_hours*3600 - write(*, '(" ***** NOAH_TIMESTEP = ", I12, " seconds")') noah_timestep - write(*, '(" ***** ")') - write(*, *) - stop - endif - endif - - if (dynamic_veg_option == 2 .or. dynamic_veg_option == 5 .or. dynamic_veg_option == 6) then - if ( canopy_stomatal_resistance_option /= 1) then - write(*, *) - write(*, '(" ***** Namelist error: ******************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** CANOPY_STOMATAL_RESISTANCE_OPTION must be 1 when DYNAMIC_VEG_OPTION == 2/5/6")') - write(*, *) - stop - endif - endif - - if (soil_data_option == 4 .and. spatial_filename == " ") then - write(*, *) - write(*, '(" ***** Namelist error: ******************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** SPATIAL_FILENAME must be provided when SOIL_DATA_OPTION == 4")') - write(*, *) - stop - endif - - if (sf_urban_physics == 2 .or. sf_urban_physics == 3) then - if ( urban_atmosphere_thickness <= 0.0) then - write(*, *) - write(*, '(" ***** Namelist error: ******************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** When running BEP/BEM, URBAN_ATMOSPHERE_LEVELS must contain at least 3 levels")') - write(*, *) - stop - endif - num_urban_atmosphere = int(zlvl/urban_atmosphere_thickness) - if (zlvl - num_urban_atmosphere*urban_atmosphere_thickness >= 0.5*urban_atmosphere_thickness) & - num_urban_atmosphere = num_urban_atmosphere + 1 - if ( num_urban_atmosphere <= 2) then - write(*, *) - write(*, '(" ***** Namelist error: ******************************************************")') - write(*, '(" ***** ")') - write(*, '(" ***** When running BEP/BEM, num_urban_atmosphere must contain at least 3 levels, ")') - write(*, '(" ***** decrease URBAN_ATMOSPHERE_THICKNESS")') - write(*, *) - stop - endif - endif - -!--------------------------------------------------------------------- -! NAMELIST check end -!--------------------------------------------------------------------- - + ! derived urban dimensions - if (sf_urban_physics > 0 ) then + if (NoahmpIO%sf_urban_physics > 0 ) then - urban_map_zrd = num_urban_ndm * num_urban_nwr * num_urban_nz - urban_map_zwd = num_urban_ndm * num_urban_nwr * num_urban_nz * num_urban_nbui - urban_map_gd = num_urban_ndm * num_urban_ng - urban_map_zd = num_urban_ndm * num_urban_nz * num_urban_nbui - urban_map_zdf = num_urban_ndm * num_urban_nz - urban_map_bd = num_urban_nz * num_urban_nbui - urban_map_wd = num_urban_ndm * num_urban_nz * num_urban_nbui - urban_map_gbd = num_urban_ndm * num_urban_ngb * num_urban_nbui - urban_map_fbd = num_urban_ndm * (num_urban_nz - 1) * & - num_urban_nf * num_urban_nbui - urban_map_zgrd = num_urban_ndm * num_urban_ngr * num_urban_nz ! for green roof + NoahmpIO%urban_map_zrd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_nwr * NoahmpIO%num_urban_nz + NoahmpIO%urban_map_zwd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_nwr * NoahmpIO%num_urban_nz * & + NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_gd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_ng + NoahmpIO%urban_map_zd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_nz * NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_zdf = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_nz + NoahmpIO%urban_map_bd = NoahmpIO%num_urban_nz * NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_wd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_nz * NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_gbd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_ngb * NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_fbd = NoahmpIO%num_urban_ndm * (NoahmpIO%num_urban_nz - 1) * & + NoahmpIO%num_urban_nf * NoahmpIO%num_urban_nbui + NoahmpIO%urban_map_zgrd = NoahmpIO%num_urban_ndm * NoahmpIO%num_urban_ngr * NoahmpIO%num_urban_nz ! for green roof ! C. He: compute maximum urban dimension - max_urban_dim = max(num_urban_hi,urban_map_zrd,urban_map_zwd,urban_map_gd,& - urban_map_zd,urban_map_zdf,urban_map_bd,urban_map_wd, & - urban_map_gbd,urban_map_fbd,urban_map_zgrd) + NoahmpIO%max_urban_dim = max(NoahmpIO%num_urban_hi, NoahmpIO%urban_map_zrd, NoahmpIO%urban_map_zwd, & + NoahmpIO%urban_map_gd, NoahmpIO%urban_map_zd, NoahmpIO%urban_map_zdf, & + NoahmpIO%urban_map_bd, NoahmpIO%urban_map_wd, NoahmpIO%urban_map_gbd, & + NoahmpIO%urban_map_fbd,NoahmpIO%urban_map_zgrd) end if @@ -979,1260 +124,469 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) #ifdef MPP_LAND #ifdef WRF_HYDRO if(finemesh .ne. 0) then - xstart = (wrfits-1)*finemesh_factor + 1 - xend = (wrfite-1)*finemesh_factor - ystart = (wrfjts-1)*finemesh_factor + 1 - yend = (wrfjte-1)*finemesh_factor + NoahmpIO%xstart = (wrfits-1)*finemesh_factor + 1 + NoahmpIO%xend = (wrfite-1)*finemesh_factor + NoahmpIO%ystart = (wrfjts-1)*finemesh_factor + 1 + NoahmpIO%yend = (wrfjte-1)*finemesh_factor call CPL_LAND_INIT(xstart,xend, ystart,yend) - ix_tmp = xend - xstart + 1 - jx_tmp = yend - ystart + 1 + ix_tmp = NoahmpIO%xend - NoahmpIO%xstart + 1 + jx_tmp = NoahmpIO%yend - NoahmpIO%ystart + 1 else #endif - call read_dim(hrldas_setup_file,ix_tmp,jx_tmp) + call read_dim(NoahmpIO%hrldas_setup_file,ix_tmp,jx_tmp) call MPP_LAND_PAR_INI(1,ix_tmp,jx_tmp,1) - call getLocalXY(ix_tmp,jx_tmp,xstart,ystart,xend,yend) + call getLocalXY(ix_tmp,jx_tmp,NoahmpIO%xstart,NoahmpIO%ystart,NoahmpIO%xend,NoahmpIO%yend) #ifdef WRF_HYDRO endif #endif #endif - call read_hrldas_hdrinfo(hrldas_setup_file, ix, jx, xstart, xend, ystart, yend, & - iswater, islake, isurban, isice, llanduse, dx, dy, truelat1, truelat2, cen_lon, lat1, lon1, & - igrid, mapproj) - write(hgrid,'(I1)') igrid + call read_hrldas_hdrinfo(NoahmpIO%hrldas_setup_file, NoahmpIO%ix, NoahmpIO%jx, & + NoahmpIO%xstart, NoahmpIO%xend, NoahmpIO%ystart, NoahmpIO%yend, & + NoahmpIO%iswater, NoahmpIO%islake, NoahmpIO%isurban, & + NoahmpIO%isice, NoahmpIO%llanduse, NoahmpIO%dx, NoahmpIO%dy, & + NoahmpIO%truelat1, NoahmpIO%truelat2, NoahmpIO%cen_lon, & + NoahmpIO%lat1, NoahmpIO%lon1, NoahmpIO%igrid, NoahmpIO%mapproj & + ) + + write(NoahmpIO%hgrid,'(I1)') NoahmpIO%igrid - write(olddate,'(I4.4,"-",I2.2,"-",I2.2,"_",I2.2,":",I2.2,":",I2.2)') & - start_year, start_month, start_day, start_hour, start_min, 0 + write(NoahmpIO%olddate,'(I4.4,"-",I2.2,"-",I2.2,"_",I2.2,":",I2.2,":",I2.2)') & + NoahmpIO%start_year, NoahmpIO%start_month, NoahmpIO%start_day, NoahmpIO%start_hour, NoahmpIO%start_min, 0 - startdate = olddate + NoahmpIO%startdate = NoahmpIO%olddate #ifdef MPP_LAND - ix = ix_tmp - jx = jx_tmp + NoahmpIO%ix = ix_tmp + NoahmpIO%jx = jx_tmp #endif #ifdef WRF_HYDRO - forcdate = olddate + forcdate = NoahmpIO%olddate #endif - ids = xstart - ide = xend - jds = ystart - jde = yend - kds = 1 - kde = 2 - its = xstart - ite = xend - jts = ystart - jte = yend - kts = 1 - kte = 2 - ims = xstart - ime = xend - jms = ystart - jme = yend - kms = 1 - kme = 2 + NoahmpIO%ids = NoahmpIO%xstart + NoahmpIO%ide = NoahmpIO%xend + NoahmpIO%jds = NoahmpIO%ystart + NoahmpIO%jde = NoahmpIO%yend + NoahmpIO%kds = 1 + NoahmpIO%kde = 2 + NoahmpIO%its = NoahmpIO%xstart + NoahmpIO%ite = NoahmpIO%xend + NoahmpIO%jts = NoahmpIO%ystart + NoahmpIO%jte = NoahmpIO%yend + NoahmpIO%kts = 1 + NoahmpIO%kte = 2 + NoahmpIO%ims = NoahmpIO%xstart + NoahmpIO%ime = NoahmpIO%xend + NoahmpIO%jms = NoahmpIO%ystart + NoahmpIO%jme = NoahmpIO%yend + NoahmpIO%kms = 1 + NoahmpIO%kme = 2 - if (sf_urban_physics == 2 .or. sf_urban_physics == 3) then - kde = num_urban_atmosphere - kte = num_urban_atmosphere - kme = num_urban_atmosphere + if (NoahmpIO%sf_urban_physics == 2 .or. NoahmpIO%sf_urban_physics == 3) then + NoahmpIO%kde = NoahmpIO%num_urban_atmosphere + NoahmpIO%kte = NoahmpIO%num_urban_atmosphere + NoahmpIO%kme = NoahmpIO%num_urban_atmosphere endif !--------------------------------------------------------------------- ! Allocate multi-dimension fields for subwindow calculation !--------------------------------------------------------------------- - ixfull = xend-xstart+1 - jxfull = yend-ystart+1 - - ixpar = ixfull - jxpar = jxfull - xstartpar = 1 - ystartpar = 1 - - ALLOCATE ( COSZEN (XSTART:XEND,YSTART:YEND) ) ! cosine zenith angle - ALLOCATE ( XLAT (XSTART:XEND,YSTART:YEND) ) ! latitude [rad] - ALLOCATE ( DZ8W (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! thickness of atmo layers [m] - ALLOCATE ( DZS (1:NSOIL) ) ! thickness of soil layers [m] - ALLOCATE ( IVGTYP (XSTART:XEND,YSTART:YEND) ) ! vegetation type - ALLOCATE ( ISLTYP (XSTART:XEND,YSTART:YEND) ) ! soil type - ALLOCATE ( VEGFRA (XSTART:XEND,YSTART:YEND) ) ! vegetation fraction [] - ALLOCATE ( TMN (XSTART:XEND,YSTART:YEND) ) ! deep soil temperature [K] - ALLOCATE ( XLAND (XSTART:XEND,YSTART:YEND) ) ! =2 ocean; =1 land/seaice - ALLOCATE ( XICE (XSTART:XEND,YSTART:YEND) ) ! fraction of grid that is seaice - ALLOCATE ( T_PHY (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D atmospheric temperature valid at mid-levels [K] - ALLOCATE ( QV_CURR (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D water vapor mixing ratio [kg/kg_dry] - ALLOCATE ( U_PHY (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D U wind component [m/s] - ALLOCATE ( V_PHY (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D V wind component [m/s] - ALLOCATE ( SWDOWN (XSTART:XEND,YSTART:YEND) ) ! solar down at surface [W m-2] - ALLOCATE ( SWDDIR (XSTART:XEND,YSTART:YEND) ) ! solar down at surface [W m-2] for new urban solar panel - ALLOCATE ( SWDDIF (XSTART:XEND,YSTART:YEND) ) ! solar down at surface [W m-2] for new urban solar panel - ALLOCATE ( GLW (XSTART:XEND,YSTART:YEND) ) ! longwave down at surface [W m-2] - ALLOCATE ( P8W (XSTART:XEND,KDS:KDE,YSTART:YEND) ) ! 3D pressure, valid at interface [Pa] - ALLOCATE ( RAINBL (XSTART:XEND,YSTART:YEND) ) ! total precipitation entering land model [mm] per time step - ALLOCATE ( SNOWBL (XSTART:XEND,YSTART:YEND) ) ! snow entering land model [mm] per time step - ALLOCATE ( RAINBL_tmp (XSTART:XEND,YSTART:YEND) ) ! precipitation entering land model [mm] - ALLOCATE ( SR (XSTART:XEND,YSTART:YEND) ) ! frozen precip ratio entering land model [-] - ALLOCATE ( RAINCV (XSTART:XEND,YSTART:YEND) ) ! convective precip forcing [mm] - ALLOCATE ( RAINNCV (XSTART:XEND,YSTART:YEND) ) ! non-convective precip forcing [mm] - ALLOCATE ( RAINSHV (XSTART:XEND,YSTART:YEND) ) ! shallow conv. precip forcing [mm] - ALLOCATE ( SNOWNCV (XSTART:XEND,YSTART:YEND) ) ! non-covective snow forcing (subset of rainncv) [mm] - ALLOCATE ( GRAUPELNCV(XSTART:XEND,YSTART:YEND) ) ! non-convective graupel forcing (subset of rainncv) [mm] - ALLOCATE ( HAILNCV (XSTART:XEND,YSTART:YEND) ) ! non-convective hail forcing (subset of rainncv) [mm] - - ALLOCATE ( bexp_3d (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! C-H B exponent - ALLOCATE ( smcdry_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Soil Moisture Limit: Dry - ALLOCATE ( smcwlt_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Soil Moisture Limit: Wilt - ALLOCATE ( smcref_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Soil Moisture Limit: Reference - ALLOCATE ( smcmax_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Soil Moisture Limit: Max - ALLOCATE ( dksat_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Saturated Soil Conductivity - ALLOCATE ( dwsat_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Saturated Soil Diffusivity - ALLOCATE ( psisat_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Saturated Matric Potential - ALLOCATE ( quartz_3D (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! Soil quartz content - ALLOCATE ( refdk_2D (XSTART:XEND,YSTART:YEND) ) ! Reference Soil Conductivity - ALLOCATE ( refkdt_2D (XSTART:XEND,YSTART:YEND) ) ! Soil Infiltration Parameter - ALLOCATE ( soilcomp (XSTART:XEND,1:2*NSOIL,YSTART:YEND) ) ! Soil sand and clay content [fraction] - ALLOCATE ( soilcl1 (XSTART:XEND,YSTART:YEND) ) ! Soil texture class with depth - ALLOCATE ( soilcl2 (XSTART:XEND,YSTART:YEND) ) ! Soil texture class with depth - ALLOCATE ( soilcl3 (XSTART:XEND,YSTART:YEND) ) ! Soil texture class with depth - ALLOCATE ( soilcl4 (XSTART:XEND,YSTART:YEND) ) ! Soil texture class with depth - ALLOCATE ( irr_frac_2D(XSTART:XEND,YSTART:YEND) ) ! irrigation Fraction - ALLOCATE ( irr_har_2D (XSTART:XEND,YSTART:YEND) ) ! number of days before harvest date to stop irrigation - ALLOCATE ( irr_lai_2D (XSTART:XEND,YSTART:YEND) ) ! Minimum lai to trigger irrigation - ALLOCATE ( irr_mad_2D (XSTART:XEND,YSTART:YEND) ) ! management allowable deficit (0-1) - ALLOCATE ( filoss_2D (XSTART:XEND,YSTART:YEND) ) ! fraction of flood irrigation loss (0-1) - ALLOCATE ( sprir_rate_2D(XSTART:XEND,YSTART:YEND) ) ! mm/h, sprinkler irrigation rate - ALLOCATE ( micir_rate_2D(XSTART:XEND,YSTART:YEND) ) ! mm/h, micro irrigation rate - ALLOCATE ( firtfac_2D (XSTART:XEND,YSTART:YEND) ) ! flood application rate factor - ALLOCATE ( ir_rain_2D (XSTART:XEND,YSTART:YEND) ) ! maximum precipitation to stop irrigation trigger - ALLOCATE ( bvic_2D (XSTART:XEND,YSTART:YEND) ) ! VIC model infiltration parameter [-] - ALLOCATE ( axaj_2D (XSTART:XEND,YSTART:YEND) ) ! Tension water distribution inflection parameter [-] - ALLOCATE ( bxaj_2D (XSTART:XEND,YSTART:YEND) ) ! Tension water distribution shape parameter [-] - ALLOCATE ( xxaj_2D (XSTART:XEND,YSTART:YEND) ) ! Free water distribution shape parameter [-] - ALLOCATE ( bdvic_2D (XSTART:XEND,YSTART:YEND) ) ! DVIC model infiltration parameter [-] - ALLOCATE ( gdvic_2D (XSTART:XEND,YSTART:YEND) ) ! Mean Capillary Drive (m) for infiltration models - ALLOCATE ( bbvic_2D (XSTART:XEND,YSTART:YEND) ) ! DVIC heterogeniety parameter for infiltration [-] - ALLOCATE ( KLAT_FAC (XSTART:XEND,YSTART:YEND) ) ! factor multiplier to hydraulic conductivity - ALLOCATE ( TDSMC_FAC (XSTART:XEND,YSTART:YEND) ) ! factor multiplier to field capacity - ALLOCATE ( TD_DC (XSTART:XEND,YSTART:YEND) ) ! drainage coefficient for simple - ALLOCATE ( TD_DCOEF (XSTART:XEND,YSTART:YEND) ) ! drainge coefficient for Hooghoudt - ALLOCATE ( TD_DDRAIN (XSTART:XEND,YSTART:YEND) ) ! depth of drain - ALLOCATE ( TD_RADI (XSTART:XEND,YSTART:YEND) ) ! tile radius - ALLOCATE ( TD_SPAC (XSTART:XEND,YSTART:YEND) ) ! tile spacing - -! INOUT (with generic LSM equivalent) (as defined in WRF) - - ALLOCATE ( TSK (XSTART:XEND,YSTART:YEND) ) ! surface radiative temperature [K] - ALLOCATE ( HFX (XSTART:XEND,YSTART:YEND) ) ! sensible heat flux [W m-2] - ALLOCATE ( QFX (XSTART:XEND,YSTART:YEND) ) ! latent heat flux [kg s-1 m-2] - ALLOCATE ( LH (XSTART:XEND,YSTART:YEND) ) ! latent heat flux [W m-2] - ALLOCATE ( GRDFLX (XSTART:XEND,YSTART:YEND) ) ! ground/snow heat flux [W m-2] - ALLOCATE ( SMSTAV (XSTART:XEND,YSTART:YEND) ) ! soil moisture avail. [not used] - ALLOCATE ( SMSTOT (XSTART:XEND,YSTART:YEND) ) ! total soil water [mm][not used] - ALLOCATE ( SFCRUNOFF (XSTART:XEND,YSTART:YEND) ) ! accumulated surface runoff [m] - ALLOCATE ( UDRUNOFF (XSTART:XEND,YSTART:YEND) ) ! accumulated sub-surface runoff [m] - ALLOCATE ( ALBEDO (XSTART:XEND,YSTART:YEND) ) ! total grid albedo [] - ALLOCATE ( SNOWC (XSTART:XEND,YSTART:YEND) ) ! snow cover fraction [] - ALLOCATE ( SMOISEQ (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! eq volumetric soil moisture [m3/m3] - ALLOCATE ( SMOIS (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! volumetric soil moisture [m3/m3] - ALLOCATE ( SH2O (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! volumetric liquid soil moisture [m3/m3] - ALLOCATE ( TSLB (XSTART:XEND,1:NSOIL,YSTART:YEND) ) ! soil temperature [K] - ALLOCATE ( SNOW (XSTART:XEND,YSTART:YEND) ) ! snow water equivalent [mm] - ALLOCATE ( SNOWH (XSTART:XEND,YSTART:YEND) ) ! physical snow depth [m] - ALLOCATE ( CANWAT (XSTART:XEND,YSTART:YEND) ) ! total canopy water + ice [mm] - ALLOCATE ( ACSNOM (XSTART:XEND,YSTART:YEND) ) ! accumulated snow melt leaving pack - ALLOCATE ( ACSNOW (XSTART:XEND,YSTART:YEND) ) ! accumulated snow on grid - ALLOCATE ( EMISS (XSTART:XEND,YSTART:YEND) ) ! surface bulk emissivity - ALLOCATE ( QSFC (XSTART:XEND,YSTART:YEND) ) ! bulk surface specific humidity - -! INOUT (with no Noah LSM equivalent) (as defined in WRF) - - ALLOCATE ( ISNOWXY (XSTART:XEND,YSTART:YEND) ) ! actual no. of snow layers - ALLOCATE ( TVXY (XSTART:XEND,YSTART:YEND) ) ! vegetation leaf temperature - ALLOCATE ( TGXY (XSTART:XEND,YSTART:YEND) ) ! bulk ground surface temperature - ALLOCATE ( CANICEXY (XSTART:XEND,YSTART:YEND) ) ! canopy-intercepted ice (mm) - ALLOCATE ( CANLIQXY (XSTART:XEND,YSTART:YEND) ) ! canopy-intercepted liquid water (mm) - ALLOCATE ( EAHXY (XSTART:XEND,YSTART:YEND) ) ! canopy air vapor pressure (pa) - ALLOCATE ( TAHXY (XSTART:XEND,YSTART:YEND) ) ! canopy air temperature (k) - ALLOCATE ( CMXY (XSTART:XEND,YSTART:YEND) ) ! bulk momentum drag coefficient - ALLOCATE ( CHXY (XSTART:XEND,YSTART:YEND) ) ! bulk sensible heat exchange coefficient - ALLOCATE ( FWETXY (XSTART:XEND,YSTART:YEND) ) ! wetted or snowed fraction of the canopy (-) - ALLOCATE ( SNEQVOXY (XSTART:XEND,YSTART:YEND) ) ! snow mass at last time step(mm h2o) - ALLOCATE ( ALBOLDXY (XSTART:XEND,YSTART:YEND) ) ! snow albedo at last time step (-) - ALLOCATE ( QSNOWXY (XSTART:XEND,YSTART:YEND) ) ! snowfall on the ground [mm/s] - ALLOCATE ( QRAINXY (XSTART:XEND,YSTART:YEND) ) ! rainfall on the ground [mm/s] - ALLOCATE ( WSLAKEXY (XSTART:XEND,YSTART:YEND) ) ! lake water storage [mm] - ALLOCATE ( ZWTXY (XSTART:XEND,YSTART:YEND) ) ! water table depth [m] - ALLOCATE ( WAXY (XSTART:XEND,YSTART:YEND) ) ! water in the "aquifer" [mm] - ALLOCATE ( WTXY (XSTART:XEND,YSTART:YEND) ) ! groundwater storage [mm] - ALLOCATE ( SMCWTDXY (XSTART:XEND,YSTART:YEND) ) ! soil moisture below the bottom of the column (m3m-3) - ALLOCATE ( DEEPRECHXY(XSTART:XEND,YSTART:YEND) ) ! recharge to the water table when deep (m) - ALLOCATE ( RECHXY (XSTART:XEND,YSTART:YEND) ) ! recharge to the water table (diagnostic) (m) - ALLOCATE ( TSNOXY (XSTART:XEND,-NSNOW+1:0, YSTART:YEND) ) ! snow temperature [K] - ALLOCATE ( ZSNSOXY (XSTART:XEND,-NSNOW+1:NSOIL,YSTART:YEND) ) ! snow layer depth [m] - ALLOCATE ( SNICEXY (XSTART:XEND,-NSNOW+1:0, YSTART:YEND) ) ! snow layer ice [mm] - ALLOCATE ( SNLIQXY (XSTART:XEND,-NSNOW+1:0, YSTART:YEND) ) ! snow layer liquid water [mm] - ALLOCATE ( LFMASSXY (XSTART:XEND,YSTART:YEND) ) ! leaf mass [g/m2] - ALLOCATE ( RTMASSXY (XSTART:XEND,YSTART:YEND) ) ! mass of fine roots [g/m2] - ALLOCATE ( STMASSXY (XSTART:XEND,YSTART:YEND) ) ! stem mass [g/m2] - ALLOCATE ( WOODXY (XSTART:XEND,YSTART:YEND) ) ! mass of wood (incl. woody roots) [g/m2] - ALLOCATE ( GRAINXY (XSTART:XEND,YSTART:YEND) ) ! mass of grain XING [g/m2] - ALLOCATE ( GDDXY (XSTART:XEND,YSTART:YEND) ) ! growing degree days XING FOUR - ALLOCATE ( STBLCPXY (XSTART:XEND,YSTART:YEND) ) ! stable carbon in deep soil [g/m2] - ALLOCATE ( FASTCPXY (XSTART:XEND,YSTART:YEND) ) ! short-lived carbon, shallow soil [g/m2] - ALLOCATE ( LAI (XSTART:XEND,YSTART:YEND) ) ! leaf area index - ALLOCATE ( LAI_tmp (XSTART:XEND,YSTART:YEND) ) ! leaf area index - ALLOCATE ( XSAIXY (XSTART:XEND,YSTART:YEND) ) ! stem area index - ALLOCATE ( TAUSSXY (XSTART:XEND,YSTART:YEND) ) ! snow age factor - - ALLOCATE ( gecros_state(XSTART:XEND,60,YSTART:YEND) ) ! gecros crop model packed state vector -! irrigation - ALLOCATE ( IRFRACT (XSTART:XEND,YSTART:YEND) ) ! irrigation fraction - ALLOCATE ( SIFRACT (XSTART:XEND,YSTART:YEND) ) ! sprinkler irrigation fraction - ALLOCATE ( MIFRACT (XSTART:XEND,YSTART:YEND) ) ! micro irrigation fraction - ALLOCATE ( FIFRACT (XSTART:XEND,YSTART:YEND) ) ! flood irrigation fraction - ALLOCATE ( IRNUMSI (XSTART:XEND,YSTART:YEND) ) ! irrigation event number, Sprinkler - ALLOCATE ( IRNUMMI (XSTART:XEND,YSTART:YEND) ) ! irrigation event number, Micro - ALLOCATE ( IRNUMFI (XSTART:XEND,YSTART:YEND) ) ! irrigation event number, Flood - ALLOCATE ( IRWATSI (XSTART:XEND,YSTART:YEND) ) ! irrigation water amount [m] to be applied, Sprinkler - ALLOCATE ( IRWATMI (XSTART:XEND,YSTART:YEND) ) ! irrigation water amount [m] to be applied, Micro - ALLOCATE ( IRWATFI (XSTART:XEND,YSTART:YEND) ) ! irrigation water amount [m] to be applied, Flood - ALLOCATE ( IRELOSS (XSTART:XEND,YSTART:YEND) ) ! loss of irrigation water to evaporation,sprinkler [mm] - ALLOCATE ( IRSIVOL (XSTART:XEND,YSTART:YEND) ) ! amount of irrigation by sprinkler (mm) - ALLOCATE ( IRMIVOL (XSTART:XEND,YSTART:YEND) ) ! amount of irrigation by micro (mm) - ALLOCATE ( IRFIVOL (XSTART:XEND,YSTART:YEND) ) ! amount of irrigation by micro (mm) - ALLOCATE ( IRRSPLH (XSTART:XEND,YSTART:YEND) ) ! latent heating from sprinkler evaporation (w/m2) - ALLOCATE ( LOCTIM (XSTART:XEND,YSTART:YEND) ) ! local time - -! OUT (with no Noah LSM equivalent) (as defined in WRF) - - ALLOCATE ( T2MVXY (XSTART:XEND,YSTART:YEND) ) ! 2m temperature of vegetation part - ALLOCATE ( T2MBXY (XSTART:XEND,YSTART:YEND) ) ! 2m temperature of bare ground part - ALLOCATE ( Q2MVXY (XSTART:XEND,YSTART:YEND) ) ! 2m mixing ratio of vegetation part - ALLOCATE ( Q2MBXY (XSTART:XEND,YSTART:YEND) ) ! 2m mixing ratio of bare ground part - ALLOCATE ( TRADXY (XSTART:XEND,YSTART:YEND) ) ! surface radiative temperature (k) - ALLOCATE ( NEEXY (XSTART:XEND,YSTART:YEND) ) ! net ecosys exchange (g/m2/s CO2) - ALLOCATE ( GPPXY (XSTART:XEND,YSTART:YEND) ) ! gross primary assimilation [g/m2/s C] - ALLOCATE ( NPPXY (XSTART:XEND,YSTART:YEND) ) ! net primary productivity [g/m2/s C] - ALLOCATE ( FVEGXY (XSTART:XEND,YSTART:YEND) ) ! Noah-MP vegetation fraction [-] - ALLOCATE ( RUNSFXY (XSTART:XEND,YSTART:YEND) ) ! surface runoff [mm/s] - ALLOCATE ( RUNSBXY (XSTART:XEND,YSTART:YEND) ) ! subsurface runoff [mm/s] - ALLOCATE ( ECANXY (XSTART:XEND,YSTART:YEND) ) ! evaporation of intercepted water (mm/s) - ALLOCATE ( EDIRXY (XSTART:XEND,YSTART:YEND) ) ! soil surface evaporation rate (mm/s] - ALLOCATE ( ETRANXY (XSTART:XEND,YSTART:YEND) ) ! transpiration rate (mm/s) - ALLOCATE ( FSAXY (XSTART:XEND,YSTART:YEND) ) ! total absorbed solar radiation (w/m2) - ALLOCATE ( FIRAXY (XSTART:XEND,YSTART:YEND) ) ! total net longwave rad (w/m2) [+ to atm] - ALLOCATE ( APARXY (XSTART:XEND,YSTART:YEND) ) ! photosyn active energy by canopy (w/m2) - ALLOCATE ( PSNXY (XSTART:XEND,YSTART:YEND) ) ! total photosynthesis (umol co2/m2/s) [+] - ALLOCATE ( SAVXY (XSTART:XEND,YSTART:YEND) ) ! solar rad absorbed by veg. (w/m2) - ALLOCATE ( SAGXY (XSTART:XEND,YSTART:YEND) ) ! solar rad absorbed by ground (w/m2) - ALLOCATE ( RSSUNXY (XSTART:XEND,YSTART:YEND) ) ! sunlit leaf stomatal resistance (s/m) - ALLOCATE ( RSSHAXY (XSTART:XEND,YSTART:YEND) ) ! shaded leaf stomatal resistance (s/m) - ALLOCATE ( BGAPXY (XSTART:XEND,YSTART:YEND) ) ! between gap fraction - ALLOCATE ( WGAPXY (XSTART:XEND,YSTART:YEND) ) ! within gap fraction - ALLOCATE ( TGVXY (XSTART:XEND,YSTART:YEND) ) ! under canopy ground temperature[K] - ALLOCATE ( TGBXY (XSTART:XEND,YSTART:YEND) ) ! bare ground temperature [K] - ALLOCATE ( CHVXY (XSTART:XEND,YSTART:YEND) ) ! sensible heat exchange coefficient vegetated - ALLOCATE ( CHBXY (XSTART:XEND,YSTART:YEND) ) ! sensible heat exchange coefficient bare-ground - ALLOCATE ( SHGXY (XSTART:XEND,YSTART:YEND) ) ! veg ground sen. heat [w/m2] [+ to atm] - ALLOCATE ( SHCXY (XSTART:XEND,YSTART:YEND) ) ! canopy sen. heat [w/m2] [+ to atm] - ALLOCATE ( SHBXY (XSTART:XEND,YSTART:YEND) ) ! bare sensible heat [w/m2] [+ to atm] - ALLOCATE ( EVGXY (XSTART:XEND,YSTART:YEND) ) ! veg ground evap. heat [w/m2] [+ to atm] - ALLOCATE ( EVBXY (XSTART:XEND,YSTART:YEND) ) ! bare soil evaporation [w/m2] [+ to atm] - ALLOCATE ( GHVXY (XSTART:XEND,YSTART:YEND) ) ! veg ground heat flux [w/m2] [+ to soil] - ALLOCATE ( GHBXY (XSTART:XEND,YSTART:YEND) ) ! bare ground heat flux [w/m2] [+ to soil] - ALLOCATE ( IRGXY (XSTART:XEND,YSTART:YEND) ) ! veg ground net LW rad. [w/m2] [+ to atm] - ALLOCATE ( IRCXY (XSTART:XEND,YSTART:YEND) ) ! canopy net LW rad. [w/m2] [+ to atm] - ALLOCATE ( IRBXY (XSTART:XEND,YSTART:YEND) ) ! bare net longwave rad. [w/m2] [+ to atm] - ALLOCATE ( TRXY (XSTART:XEND,YSTART:YEND) ) ! transpiration [w/m2] [+ to atm] - ALLOCATE ( EVCXY (XSTART:XEND,YSTART:YEND) ) ! canopy evaporation heat [w/m2] [+ to atm] - ALLOCATE ( CHLEAFXY (XSTART:XEND,YSTART:YEND) ) ! leaf exchange coefficient - ALLOCATE ( CHUCXY (XSTART:XEND,YSTART:YEND) ) ! under canopy exchange coefficient - ALLOCATE ( CHV2XY (XSTART:XEND,YSTART:YEND) ) ! veg 2m exchange coefficient - ALLOCATE ( CHB2XY (XSTART:XEND,YSTART:YEND) ) ! bare 2m exchange coefficient - ALLOCATE ( RS (XSTART:XEND,YSTART:YEND) ) ! Total stomatal resistance (s/m) - ALLOCATE ( Z0 (XSTART:XEND,YSTART:YEND) ) ! roughness length output to WRF - ALLOCATE ( ZNT (XSTART:XEND,YSTART:YEND) ) ! roughness length output to WRF - ALLOCATE ( QTDRAIN (XSTART:XEND,YSTART:YEND) ) ! tile drainage (mm) - ALLOCATE ( TD_FRACTION (XSTART:XEND,YSTART:YEND) )! tile drainage fraction -! additional output variables - ALLOCATE ( PAHXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( PAHGXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( PAHBXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( PAHVXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QINTSXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QINTRXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QDRIPSXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QDRIPRXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QTHROSXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QTHRORXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QSNSUBXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QSNFROXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QSUBCXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QFROCXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QEVACXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QDEWCXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QFRZCXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QMELTCXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QSNBOTXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( QMELTXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( PONDINGXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FPICEXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( RAINLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( SNOWLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FORCTLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FORCQLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FORCPLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FORCZLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( FORCWLSM (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_SSOILXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_QINSURXY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_QSEVAXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_ETRANIXY(XSTART:XEND,1:NSOIL,YSTART:YEND) ) - ALLOCATE ( EFLXBXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( SOILENERGY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( SNOWENERGY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( CANHSXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_DWATERXY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_PRCPXY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_ECANXY(XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_ETRANXY (XSTART:XEND,YSTART:YEND) ) - ALLOCATE ( ACC_EDIRXY(XSTART:XEND,YSTART:YEND) ) - - ALLOCATE ( XLONG (XSTART:XEND,YSTART:YEND) ) ! longitude - ALLOCATE ( TERRAIN (XSTART:XEND,YSTART:YEND) ) ! terrain height - ALLOCATE ( GVFMIN (XSTART:XEND,YSTART:YEND) ) ! annual minimum in vegetation fraction - ALLOCATE ( GVFMAX (XSTART:XEND,YSTART:YEND) ) ! annual maximum in vegetation fraction - -!------------------------------------------------------------------------ -! Needed for MMF_RUNOFF (IOPT_RUN = 5); not part of MP driver in WRF -!------------------------------------------------------------------------ + NoahmpIO%ixfull = NoahmpIO%xend - NoahmpIO%xstart+1 + NoahmpIO%jxfull = NoahmpIO%yend - NoahmpIO%ystart+1 - ALLOCATE ( MSFTX (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( MSFTY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( EQZWT (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( RIVERBEDXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( RIVERCONDXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( PEXPXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( FDEPTHXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( AREAXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QRFSXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QSPRINGSXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QRFXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QSPRINGXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QSLATXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( QLATXY (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( RECHCLIM (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( RIVERMASK (XSTART:XEND,YSTART:YEND) ) ! - ALLOCATE ( NONRIVERXY (XSTART:XEND,YSTART:YEND) ) ! + NoahmpIO%ixpar = NoahmpIO%ixfull + NoahmpIO%jxpar = NoahmpIO%jxfull + NoahmpIO%xstartpar = 1 + NoahmpIO%ystartpar = 1 -!------------------------------------------------------------------------ -! Needed for crop model (OPT_CROP=1) -!------------------------------------------------------------------------ - - ALLOCATE ( PGSXY (XSTART:XEND, YSTART:YEND) ) - ALLOCATE ( CROPCAT (XSTART:XEND, YSTART:YEND) ) - ALLOCATE ( PLANTING (XSTART:XEND, YSTART:YEND) ) - ALLOCATE ( HARVEST (XSTART:XEND, YSTART:YEND) ) - ALLOCATE ( SEASON_GDD (XSTART:XEND, YSTART:YEND) ) - ALLOCATE ( CROPTYPE (XSTART:XEND,5,YSTART:YEND) ) - -!------------------------------------------------------------------------ -! Single- and Multi-layer Urban Models -!------------------------------------------------------------------------ +!--------------------------------------------------------------------- +! initialize NoahmpIOVarType data type and variables +!--------------------------------------------------------------------- -IF(SF_URBAN_PHYSICS > 0 ) THEN ! any urban model - - ALLOCATE ( sh_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lh_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( g_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( rn_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( ts_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( HRANG (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( frc_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( utype_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lp_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lb_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( hgt_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( ust (XSTART:XEND, YSTART:YEND) ) ! - -!ENDIF - -!IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model - - ALLOCATE ( cmr_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( chr_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( cmc_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( chc_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( cmgr_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( chgr_sfcdif (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tb_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tg_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tc_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( qc_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( uc_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( xxxr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( xxxb_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( xxxg_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( xxxc_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( trl_urb3d (XSTART:XEND, nsoil, YSTART:YEND) ) ! - ALLOCATE ( tbl_urb3d (XSTART:XEND, nsoil, YSTART:YEND) ) ! - ALLOCATE ( tgl_urb3d (XSTART:XEND, nsoil, YSTART:YEND) ) ! - - ALLOCATE ( psim_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( psih_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( u10_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( v10_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( GZ1OZ0_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( AKMS_URB2D (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( th2_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( q2_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( ust_urb2d (XSTART:XEND, YSTART:YEND) ) ! - - ALLOCATE ( dzr ( nsoil ) ) ! - ALLOCATE ( dzb ( nsoil ) ) ! - ALLOCATE ( dzg ( nsoil ) ) ! - ALLOCATE ( cmcr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tgr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tgrl_urb3d (XSTART:XEND, nsoil, YSTART:YEND) ) ! - ALLOCATE ( smr_urb3d (XSTART:XEND, nsoil, YSTART:YEND) ) ! - ALLOCATE ( drelr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( drelb_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( drelg_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( flxhumr_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( flxhumb_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( flxhumg_urb2d (XSTART:XEND, YSTART:YEND) ) ! - - ALLOCATE ( chs (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( chs2 (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( cqs2 (XSTART:XEND, YSTART:YEND) ) ! - - ALLOCATE ( mh_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( stdh_urb2d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lf_urb2d (XSTART:XEND, 4, YSTART:YEND) ) ! - -!ENDIF - -!IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models - - ALLOCATE ( trb_urb4d (XSTART:XEND,urban_map_zrd,YSTART:YEND) ) ! - ALLOCATE ( tw1_urb4d (XSTART:XEND,urban_map_zwd,YSTART:YEND) ) ! - ALLOCATE ( tw2_urb4d (XSTART:XEND,urban_map_zwd,YSTART:YEND) ) ! - ALLOCATE ( tgb_urb4d (XSTART:XEND,urban_map_gd ,YSTART:YEND) ) ! - ALLOCATE ( sfw1_urb3d (XSTART:XEND,urban_map_zd ,YSTART:YEND) ) ! - ALLOCATE ( sfw2_urb3d (XSTART:XEND,urban_map_zd ,YSTART:YEND) ) ! - ALLOCATE ( sfr_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( sfg_urb3d (XSTART:XEND,num_urban_ndm,YSTART:YEND) ) ! - - ALLOCATE ( hi_urb2d (XSTART:XEND, num_urban_hi, YSTART:YEND) ) ! - - ALLOCATE ( theta_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( u_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( v_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( dz_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( rho_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( p_urban (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - - ALLOCATE ( a_u_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( a_v_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( a_t_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( a_q_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( a_e_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( b_u_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( b_v_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( b_t_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( b_q_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( b_e_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( dlg_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( dl_u_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( sf_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - ALLOCATE ( vl_bep (XSTART:XEND,KDS:KDE, YSTART:YEND) ) ! - -!ENDIF - -!IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model - - ALLOCATE ( tlev_urb3d (XSTART:XEND,urban_map_bd ,YSTART:YEND) ) ! - ALLOCATE ( qlev_urb3d (XSTART:XEND,urban_map_bd ,YSTART:YEND) ) ! - ALLOCATE ( tw1lev_urb3d (XSTART:XEND,urban_map_wd ,YSTART:YEND) ) ! - ALLOCATE ( tw2lev_urb3d (XSTART:XEND,urban_map_wd ,YSTART:YEND) ) ! - ALLOCATE ( tglev_urb3d (XSTART:XEND,urban_map_gbd,YSTART:YEND) ) ! - ALLOCATE ( tflev_urb3d (XSTART:XEND,urban_map_fbd,YSTART:YEND) ) ! - ALLOCATE ( sf_ac_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lf_ac_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( cm_ac_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( sfvent_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( lfvent_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( sfwin1_urb3d (XSTART:XEND,urban_map_wd ,YSTART:YEND) ) ! - ALLOCATE ( sfwin2_urb3d (XSTART:XEND,urban_map_wd ,YSTART:YEND) ) ! -! new urban variables greenroof & solar panel for BEM - ALLOCATE ( ep_pv_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( t_pv_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( trv_urb4d (XSTART:XEND,urban_map_zgrd,YSTART:YEND) ) ! - ALLOCATE ( qr_urb4d (XSTART:XEND,urban_map_zgrd,YSTART:YEND) ) ! - ALLOCATE ( qgr_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( tgr_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( drain_urb4d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( draingr_urb3d (XSTART:XEND, YSTART:YEND) ) ! - ALLOCATE ( sfrv_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( lfrv_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( dgr_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( dg_urb3d (XSTART:XEND,num_urban_ndm,YSTART:YEND) ) ! - ALLOCATE ( lfr_urb3d (XSTART:XEND,urban_map_zdf,YSTART:YEND) ) ! - ALLOCATE ( lfg_urb3d (XSTART:XEND,num_urban_ndm,YSTART:YEND) ) ! - -ENDIF + call NoahmpIOVarInitDefault(NoahmpIO) -!------------------------------------------------------------------------ +!--------------------------------------------------------------------- +! read in Noah-MP Parameters from MPTABLE +!--------------------------------------------------------------------- - ALLOCATE ( CHSTARXY (XSTART:XEND,YSTART:YEND) ) ! for consistency with MP_init; delete later - ALLOCATE ( SEAICE (XSTART:XEND,YSTART:YEND) ) ! seaice fraction + call NoahmpReadTable(NoahmpIO) #ifdef WRF_HYDRO - allocate( greenfrac (XSTART:XEND,YSTART:YEND)) + allocate( greenfrac (NoahmpIO%XSTART:NoahmpIO%XEND,NoahmpIO%YSTART:NoahmpIO%YEND)) greenfrac = 0 #endif - COSZEN = undefined_real - XLAT = undefined_real - DZ8W = undefined_real - DZS = undefined_real - IVGTYP = undefined_int - ISLTYP = undefined_int - SOILCL1 = undefined_real - SOILCL2 = undefined_real - SOILCL3 = undefined_real - SOILCL4 = undefined_real - SOILCOMP = undefined_real - VEGFRA = undefined_real - GVFMAX = undefined_real - TMN = undefined_real - XLAND = undefined_real - XICE = undefined_real - T_PHY = undefined_real - QV_CURR = undefined_real - U_PHY = undefined_real - V_PHY = undefined_real - SWDOWN = undefined_real - SWDDIR = undefined_real - SWDDIF = undefined_real - GLW = undefined_real - P8W = undefined_real - RAINBL = undefined_real - SNOWBL = undefined_real - RAINBL_tmp = undefined_real - SR = undefined_real - RAINCV = undefined_real - RAINNCV = undefined_real - RAINSHV = undefined_real - SNOWNCV = undefined_real - GRAUPELNCV = undefined_real - HAILNCV = undefined_real - TSK = undefined_real - QFX = undefined_real - SMSTAV = undefined_real - SMSTOT = undefined_real - SMOIS = undefined_real - SH2O = undefined_real - TSLB = undefined_real - SNOW = undefined_real - SNOWH = undefined_real - CANWAT = undefined_real - ACSNOM = 0.0 - ACSNOW = 0.0 - QSFC = undefined_real - SFCRUNOFF = 0.0 - UDRUNOFF = 0.0 - SMOISEQ = undefined_real - ALBEDO = undefined_real - ISNOWXY = undefined_int - TVXY = undefined_real - TGXY = undefined_real - CANICEXY = undefined_real - CANLIQXY = undefined_real - EAHXY = undefined_real - TAHXY = undefined_real - CMXY = undefined_real - CHXY = undefined_real - FWETXY = undefined_real - SNEQVOXY = undefined_real - ALBOLDXY = undefined_real - QSNOWXY = undefined_real - QRAINXY = undefined_real - WSLAKEXY = undefined_real - ZWTXY = undefined_real - WAXY = undefined_real - WTXY = undefined_real - TSNOXY = undefined_real - SNICEXY = undefined_real - SNLIQXY = undefined_real - LFMASSXY = undefined_real - RTMASSXY = undefined_real - STMASSXY = undefined_real - WOODXY = undefined_real - STBLCPXY = undefined_real - FASTCPXY = undefined_real - LAI = undefined_real - LAI_tmp = undefined_real - XSAIXY = undefined_real - TAUSSXY = undefined_real - XLONG = undefined_real - SEAICE = undefined_real - SMCWTDXY = undefined_real - DEEPRECHXY = 0.0 - RECHXY = 0.0 - ZSNSOXY = undefined_real - GRDFLX = undefined_real - HFX = undefined_real - LH = undefined_real - EMISS = undefined_real - SNOWC = undefined_real - T2MVXY = undefined_real - T2MBXY = undefined_real - Q2MVXY = undefined_real - Q2MBXY = undefined_real - TRADXY = undefined_real - NEEXY = undefined_real - GPPXY = undefined_real - NPPXY = undefined_real - FVEGXY = undefined_real - RUNSFXY = undefined_real - RUNSBXY = undefined_real - ECANXY = undefined_real - EDIRXY = undefined_real - ETRANXY = undefined_real - FSAXY = undefined_real - FIRAXY = undefined_real - APARXY = undefined_real - PSNXY = undefined_real - SAVXY = undefined_real - FIRAXY = undefined_real - SAGXY = undefined_real - RSSUNXY = undefined_real - RSSHAXY = undefined_real - BGAPXY = undefined_real - WGAPXY = undefined_real - TGVXY = undefined_real - TGBXY = undefined_real - CHVXY = undefined_real - CHBXY = undefined_real - SHGXY = undefined_real - SHCXY = undefined_real - SHBXY = undefined_real - EVGXY = undefined_real - EVBXY = undefined_real - GHVXY = undefined_real - GHBXY = undefined_real - IRGXY = undefined_real - IRCXY = undefined_real - IRBXY = undefined_real - TRXY = undefined_real - EVCXY = undefined_real - CHLEAFXY = undefined_real - CHUCXY = undefined_real - CHV2XY = undefined_real - CHB2XY = undefined_real - RS = undefined_real -! additional output - PAHXY = undefined_real - PAHGXY = undefined_real - PAHBXY = undefined_real - PAHVXY = undefined_real - QINTSXY = undefined_real - QINTRXY = undefined_real - QDRIPSXY = undefined_real - QDRIPRXY = undefined_real - QTHROSXY = undefined_real - QTHRORXY = undefined_real - QSNSUBXY = undefined_real - QSNFROXY = undefined_real - QSUBCXY = undefined_real - QFROCXY = undefined_real - QEVACXY = undefined_real - QDEWCXY = undefined_real - QFRZCXY = undefined_real - QMELTCXY = undefined_real - QSNBOTXY = undefined_real - QMELTXY = undefined_real - PONDINGXY = 0.0 - FPICEXY = undefined_real - RAINLSM = undefined_real - SNOWLSM = undefined_real - FORCTLSM = undefined_real - FORCQLSM = undefined_real - FORCPLSM = undefined_real - FORCZLSM = undefined_real - FORCWLSM = undefined_real - ACC_SSOILXY = 0.0 - ACC_QINSURXY = 0.0 - ACC_QSEVAXY = 0.0 - ACC_ETRANIXY = 0.0 - EFLXBXY = undefined_real - SOILENERGY = 0.0 - SNOWENERGY = 0.0 - CANHSXY = undefined_real - ACC_DWATERXY = 0.0 - ACC_PRCPXY = 0.0 - ACC_ECANXY = 0.0 - ACC_ETRANXY = 0.0 - ACC_EDIRXY = 0.0 - - TERRAIN = undefined_real - GVFMIN = undefined_real - GVFMAX = undefined_real - MSFTX = undefined_real - MSFTY = undefined_real - EQZWT = undefined_real - RIVERBEDXY = undefined_real - RIVERCONDXY= undefined_real - PEXPXY = undefined_real - FDEPTHXY = undefined_real - AREAXY = undefined_real - QRFSXY = undefined_real - QSPRINGSXY = undefined_real - QRFXY = undefined_real - QSPRINGXY = undefined_real - QSLATXY = undefined_real - QLATXY = undefined_real - CHSTARXY = undefined_real - Z0 = undefined_real - ZNT = undefined_real - PGSXY = undefined_int - CROPCAT = undefined_int - PLANTING = undefined_real - HARVEST = undefined_real - SEASON_GDD = undefined_real - CROPTYPE = undefined_real -! tile drainage - QTDRAIN = undefined_real - TD_FRACTION= undefined_real -! irrigation - IRFRACT = 0.0 - SIFRACT = 0.0 - MIFRACT = 0.0 - FIFRACT = 0.0 - IRNUMSI = 0 - IRNUMMI = 0 - IRNUMFI = 0 - IRWATSI = 0.0 - IRWATMI = 0.0 - IRWATFI = 0.0 - IRELOSS = 0.0 - IRSIVOL = 0.0 - IRMIVOL = 0.0 - IRFIVOL = 0.0 - IRRSPLH = 0.0 - LOCTIM = undefined_real - -IF(SF_URBAN_PHYSICS > 0 ) THEN ! any urban model - HRANG = -999.0 - DECLIN = -999.0 - sh_urb2d = -999.0 - lh_urb2d = -999.0 - g_urb2d = -999.0 - rn_urb2d = -999.0 - ts_urb2d = -999.0 - GMT = -999.0 - JULDAY = -999 - frc_urb2d = -999.0 - utype_urb2d= -999 - lp_urb2d = -999.0 - lb_urb2d = -999.0 - hgt_urb2d = -999.0 - ust = -999.0 - cmr_sfcdif = 1.0e-4 - chr_sfcdif = 1.0e-4 - cmc_sfcdif = 1.0e-4 - chc_sfcdif = 1.0e-4 - cmgr_sfcdif= 1.0e-4 - chgr_sfcdif= 1.0e-4 - tr_urb2d = -999.0 - tb_urb2d = -999.0 - tg_urb2d = -999.0 - tc_urb2d = -999.0 - qc_urb2d = -999.0 - uc_urb2d = -999.0 - xxxr_urb2d = -999.0 - xxxb_urb2d = -999.0 - xxxg_urb2d = -999.0 - xxxc_urb2d = -999.0 - trl_urb3d = -999.0 - tbl_urb3d = -999.0 - tgl_urb3d = -999.0 - psim_urb2d = -999.0 - psih_urb2d = -999.0 - u10_urb2d = -999.0 - v10_urb2d = -999.0 - GZ1OZ0_urb2d = -999.0 - AKMS_URB2D = -999.0 - th2_urb2d = -999.0 - q2_urb2d = -999.0 - ust_urb2d = -999.0 - dzr = -999.0 - dzb = -999.0 - dzg = -999.0 - cmcr_urb2d = -999.0 - tgr_urb2d = -999.0 - tgrl_urb3d = -999.0 - smr_urb3d = -999.0 - drelr_urb2d= -999.0 - drelb_urb2d= -999.0 - drelg_urb2d= -999.0 - flxhumr_urb2d = -999.0 - flxhumb_urb2d = -999.0 - flxhumg_urb2d = -999.0 - chs = 1.0e-4 - chs2 = 1.0e-4 - cqs2 = 1.0e-4 - mh_urb2d = -999.0 - stdh_urb2d = -999.0 - lf_urb2d = -999.0 - trb_urb4d = -999.0 - tw1_urb4d = -999.0 - tw2_urb4d = -999.0 - tgb_urb4d = -999.0 - sfw1_urb3d = -999.0 - sfw2_urb3d = -999.0 - sfr_urb3d = -999.0 - sfg_urb3d = -999.0 - hi_urb2d = -999.0 - theta_urban= -999.0 - u_urban = -999.0 - v_urban = -999.0 - dz_urban = -999.0 - rho_urban = -999.0 - p_urban = -999.0 - a_u_bep = -999.0 - a_v_bep = -999.0 - a_t_bep = -999.0 - a_q_bep = -999.0 - a_e_bep = -999.0 - b_u_bep = -999.0 - b_v_bep = -999.0 - b_t_bep = -999.0 - b_q_bep = -999.0 - b_e_bep = -999.0 - dlg_bep = -999.0 - dl_u_bep = -999.0 - sf_bep = -999.0 - vl_bep = -999.0 - tlev_urb3d = -999.0 - qlev_urb3d = -999.0 - tw1lev_urb3d = -999.0 - tw2lev_urb3d = -999.0 - tglev_urb3d= -999.0 - tflev_urb3d= -999.0 - sf_ac_urb3d= -999.0 - lf_ac_urb3d= -999.0 - cm_ac_urb3d= -999.0 - sfvent_urb3d = -999.0 - lfvent_urb3d = -999.0 - sfwin1_urb3d = -999.0 - sfwin2_urb3d = -999.0 - ep_pv_urb3d= -999.0 - t_pv_urb3d = -999.0 - trv_urb4d = -999.0 - qr_urb4d = -999.0 - qgr_urb3d = -999.0 - tgr_urb3d = -999.0 - drain_urb4d= -999.0 - draingr_urb3d = -999.0 - sfrv_urb3d = -999.0 - lfrv_urb3d = -999.0 - dgr_urb3d = -999.0 - dg_urb3d = -999.0 - lfr_urb3d = -999.0 - lfg_urb3d = -999.0 - -ENDIF - - XLAND = 1.0 ! water = 2.0, land = 1.0 - XICE = 0.0 ! fraction of grid that is seaice - XICE_THRESHOLD = 0.5 ! fraction of grid determining seaice (from WRF) !---------------------------------------------------------------------- ! Read Landuse Type and Soil Texture and Other Information !---------------------------------------------------------------------- - CALL READLAND_HRLDAS(HRLDAS_SETUP_FILE, XSTART, XEND, YSTART, YEND, & - ISWATER, ISLAKE, IVGTYP, ISLTYP, TERRAIN, TMN, XLAT, XLONG, XLAND, SEAICE,MSFTX,MSFTY) + CALL READLAND_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%ISWATER, NoahmpIO%ISLAKE, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP, NoahmpIO%TERRAIN, NoahmpIO%TMN, & + NoahmpIO%XLAT, NoahmpIO%XLONG, NoahmpIO%XLAND, NoahmpIO%SEAICE, NoahmpIO%MSFTX, NoahmpIO%MSFTY) - WHERE(SEAICE > 0.0) XICE = 1.0 + WHERE(NoahmpIO%SEAICE > 0.0) NoahmpIO%XICE = 1.0 !------------------------------------------------------------------------ ! For spatially-varying soil parameters, read in necessary extra fields !------------------------------------------------------------------------ - if (soil_data_option == 2) then - CALL READ_SOIL_TEXTURE(HRLDAS_SETUP_FILE, XSTART, XEND, YSTART, YEND, & - NSOIL,IVGTYP,SOILCL1,SOILCL2,SOILCL3,SOILCL4,ISICE,ISWATER) + if (NoahmpIO%IOPT_SOIL == 2) then + CALL READ_SOIL_TEXTURE(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%NSOIL, NoahmpIO%IVGTYP, NoahmpIO%SOILCL1, NoahmpIO%SOILCL2, NoahmpIO%SOILCL3, & + NoahmpIO%SOILCL4, NoahmpIO%ISICE, NoahmpIO%ISWATER) - ISLTYP = nint(SOILCL1(:,:)) + NoahmpIO%ISLTYP = nint(NoahmpIO%SOILCL1(:,:)) end if - if (soil_data_option == 3) then - CALL READ_SOIL_COMPOSITION(HRLDAS_SETUP_FILE, XSTART, XEND, YSTART, YEND, & - NSOIL,IVGTYP,ISICE,ISWATER, & - SOILCOMP) + if (NoahmpIO%IOPT_SOIL == 3) then + CALL READ_SOIL_COMPOSITION(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%NSOIL, NoahmpIO%IVGTYP, NoahmpIO%ISICE, NoahmpIO%ISWATER, NoahmpIO%SOILCOMP) end if - if (soil_data_option == 4) then - CALL READ_3D_SOIL(SPATIAL_FILENAME, XSTART, XEND, YSTART, YEND, & - NSOIL,BEXP_3D,SMCDRY_3D,SMCWLT_3D,SMCREF_3D,SMCMAX_3D, & - DKSAT_3D,DWSAT_3D,PSISAT_3D,QUARTZ_3D,REFDK_2D,REFKDT_2D,& - IRR_FRAC_2D,IRR_HAR_2D,IRR_LAI_2D,IRR_MAD_2D,FILOSS_2D,SPRIR_RATE_2D,& - MICIR_RATE_2D,FIRTFAC_2D,IR_RAIN_2D,BVIC_2D,AXAJ_2D,BXAJ_2D,XXAJ_2D,& - BDVIC_2D,GDVIC_2D,BBVIC_2D,& - KLAT_FAC,TDSMC_FAC,TD_DC,TD_DCOEF,TD_DDRAIN,TD_RADI,TD_SPAC) + if (NoahmpIO%IOPT_SOIL == 4) then + CALL READ_3D_SOIL(NoahmpIO%SPATIAL_FILENAME, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%NSOIL, NoahmpIO%BEXP_3D, NoahmpIO%SMCDRY_3D, NoahmpIO%SMCWLT_3D, NoahmpIO%SMCREF_3D, & + NoahmpIO%SMCMAX_3D, NoahmpIO%DKSAT_3D, NoahmpIO%DWSAT_3D, NoahmpIO%PSISAT_3D, NoahmpIO%QUARTZ_3D, & + NoahmpIO%REFDK_2D, NoahmpIO%REFKDT_2D, NoahmpIO%IRR_FRAC_2D, NoahmpIO%IRR_HAR_2D, & + NoahmpIO%IRR_LAI_2D, NoahmpIO%IRR_MAD_2D, NoahmpIO%FILOSS_2D, NoahmpIO%SPRIR_RATE_2D, & + NoahmpIO%MICIR_RATE_2D, NoahmpIO%FIRTFAC_2D, NoahmpIO%IR_RAIN_2D, NoahmpIO%BVIC_2D, & + NoahmpIO%AXAJ_2D, NoahmpIO%BXAJ_2D, NoahmpIO%XXAJ_2D, NoahmpIO%BDVIC_2D, NoahmpIO%GDVIC_2D, & + NoahmpIO%BBVIC_2D, NoahmpIO%KLAT_FAC, NoahmpIO%TDSMC_FAC, NoahmpIO%TD_DC, NoahmpIO%TD_DCOEF, & + NoahmpIO%TD_DDRAIN, NoahmpIO%TD_RADI, NoahmpIO%TD_SPAC) end if !---------------------------------------------------------------------- ! For spatially-varying irrigation parameters, read in necessary extra fields ! only if IOPT_IRR >= 1 !---------------------------------------------------------------------- - if (irrigation_option >= 1) then - CALL READ_AGRICULTURE_DATA(AGDATA_FLNM, XSTART, XEND, YSTART, YEND, & - IRFRACT, SIFRACT, MIFRACT, FIFRACT) + if (NoahmpIO%IOPT_IRR >= 1) then + CALL READ_AGRICULTURE_DATA(NoahmpIO%AGDATA_FLNM, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%IRFRACT, NoahmpIO%SIFRACT, NoahmpIO%MIFRACT, NoahmpIO%FIFRACT) end if !------------------------------------------------------------------------ -! For IOPT_RUN = 5 (MMF groundwater), read in necessary extra fields +! For IOPT_RUNSUB = 5 (MMF groundwater), read in necessary extra fields ! This option is not tested for parallel use in the offline driver !------------------------------------------------------------------------ - if (runoff_option == 5) then - CALL READ_MMF_RUNOFF(HRLDAS_SETUP_FILE, XSTART, XEND, YSTART, YEND,& - FDEPTHXY,EQZWT,RECHCLIM,RIVERBEDXY) + if (NoahmpIO%IOPT_RUNSUB == 5) then + CALL READ_MMF_RUNOFF(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND,& + NoahmpIO%FDEPTHXY, NoahmpIO%EQZWT, NoahmpIO%RECHCLIM, NoahmpIO%RIVERBEDXY) end if !------------------------------------------------------------------------ ! For OPT_CROP=1 (crop model), read in necessary extra fields !------------------------------------------------------------------------ - CROPTYPE = 0 ! make default 0% crops everywhere - PLANTING = 126 ! default planting date - HARVEST = 290 ! default harvest date - SEASON_GDD = 1605 ! default total seasonal growing degree days - if (crop_option == 1) then ! use crop_option=1 for reading crop extra fields - CALL READ_CROP_INPUT(HRLDAS_SETUP_FILE, XSTART, XEND, YSTART, YEND,& - CROPTYPE,PLANTING,HARVEST,SEASON_GDD) + NoahmpIO%CROPTYPE = 0 ! make default 0% crops everywhere + NoahmpIO%PLANTING = 126 ! default planting date + NoahmpIO%HARVEST = 290 ! default harvest date + NoahmpIO%SEASON_GDD = 1605 ! default total seasonal growing degree days + if (NoahmpIO%IOPT_CROP == 1) then ! use crop_option=1 for reading crop extra fields + CALL READ_CROP_INPUT(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND,& + NoahmpIO%CROPTYPE, NoahmpIO%PLANTING, NoahmpIO%HARVEST, NoahmpIO%SEASON_GDD) end if !------------------------------------------------------------------------ ! For IOPT_TDRN = 1 or 2 READ TILE DRAIN MAP !------------------------------------------------------------------------ - TD_FRACTION = 0. - IF (IOPT_TDRN .GT. 0) THEN - CALL READ_TILE_DRAIN_MAP(TDINPUT_FLNM,XSTART,XEND,YSTART,YEND,TD_FRACTION) + NoahmpIO%TD_FRACTION = 0. + IF (NoahmpIO%IOPT_TDRN .GT. 0) THEN + CALL READ_TILE_DRAIN_MAP(NoahmpIO%TDINPUT_FLNM, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, NoahmpIO%TD_FRACTION) ENDIF !---------------------------------------------------------------------- ! Initialize Model State !---------------------------------------------------------------------- + NoahmpIO%SLOPETYP = 1 ! it was 2 here and 1 in the noahmpdrv- pvk + NoahmpIO%DZS = NoahmpIO%SOIL_THICK_INPUT(1:NoahmpIO%NSOIL) - SLOPETYP = 2 - DZS = SOIL_THICK_INPUT(1:NSOIL) + NoahmpIO%ITIMESTEP = 1 - ITIMESTEP = 1 + xstart = NoahmpIO%xstart + xend = NoahmpIO%xend + ystart = NoahmpIO%ystart + yend = NoahmpIO%yend + ixfull = NoahmpIO%ixfull + jxfull = NoahmpIO%jxfull - if (restart_filename_requested /= " ") then - restart_flag = .TRUE. + if (NoahmpIO%restart_filename_requested /= " ") then + NoahmpIO%restart_flag = .true. - call find_restart_file(rank, trim(restart_filename_requested), startdate, khour, olddate, restart_flnm) + call find_restart_file(NoahmpIO%rank, trim(NoahmpIO%restart_filename_requested), NoahmpIO%startdate, & + NoahmpIO%khour, NoahmpIO%olddate, NoahmpIO%restart_flnm) - call read_restart(trim(restart_flnm), xstart, xend, xstart, ixfull, jxfull, nsoil, olddate) + call read_restart(trim(NoahmpIO%restart_flnm), xstart, xend, xstart, ixfull, jxfull, NoahmpIO%NSOIL, NoahmpIO%olddate) #ifdef MPP_LAND - call mpp_land_bcast_char(19,OLDDATE(1:19)) + call mpp_land_bcast_char(19,NoahmpIO%OLDDATE(1:19)) #endif - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SOIL_T" , TSLB ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOW_T" , TSNOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMC" , SMOIS ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH2O" , SH2O ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZSNSO" , ZSNSOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNICE" , SNICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNLIQ" , SNLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSNOW" , QSNOWXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRAIN" , QRAINXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FWET" , FWETXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQVO" , SNEQVOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EAH" , EAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAH" , TAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBOLD" , ALBOLDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM" , CMXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CH" , CHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ISNOW" , ISNOWXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANLIQ" , CANLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANICE" , CANICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQV" , SNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOWH" , SNOWH ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TV" , TVXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG" , TGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZWT" , ZWTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WA" , WAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WT" , WTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSLAKE" , WSLAKEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFMASS" , LFMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RTMASS" , RTMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STMASS" , STMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WOOD" , WOODXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GRAIN" , GRAINXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GDD" , GDDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STBLCP" , STBLCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FASTCP" , FASTCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LAI" , LAI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SAI" , XSAIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "VEGFRA" , VEGFRA ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMIN" , GVFMIN ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMAX" , GVFMAX ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACMELT" , ACSNOM ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACSNOW" , ACSNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAUSS" , TAUSSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSFC" , QSFC ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",SFCRUNOFF) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,UDRUNOFF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,QTDRAIN ) -! additional inout variable - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , ACC_SSOILXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", ACC_QINSURXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , ACC_QSEVAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", ACC_ETRANIXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", ACC_DWATERXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , ACC_PRCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , ACC_ECANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , ACC_ETRANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , ACC_EDIRXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SOIL_T" , NoahmpIO%TSLB ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOW_T" , NoahmpIO%TSNOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMC" , NoahmpIO%SMOIS ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH2O" , NoahmpIO%SH2O ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZSNSO" , NoahmpIO%ZSNSOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNICE" , NoahmpIO%SNICEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNLIQ" , NoahmpIO%SNLIQXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FWET" , NoahmpIO%FWETXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQVO" , NoahmpIO%SNEQVOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EAH" , NoahmpIO%EAHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAH" , NoahmpIO%TAHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBOLD" , NoahmpIO%ALBOLDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM" , NoahmpIO%CMXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CH" , NoahmpIO%CHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ISNOW" , NoahmpIO%ISNOWXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANLIQ" , NoahmpIO%CANLIQXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANICE" , NoahmpIO%CANICEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQV" , NoahmpIO%SNOW ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOWH" , NoahmpIO%SNOWH ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TV" , NoahmpIO%TVXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG" , NoahmpIO%TGXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZWT" , NoahmpIO%ZWTXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WA" , NoahmpIO%WAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WT" , NoahmpIO%WTXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSLAKE" , NoahmpIO%WSLAKEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFMASS" , NoahmpIO%LFMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RTMASS" , NoahmpIO%RTMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STMASS" , NoahmpIO%STMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CROPCAT" , NoahmpIO%CROPCAT ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WOOD" , NoahmpIO%WOODXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GRAIN" , NoahmpIO%GRAINXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GDD" , NoahmpIO%GDDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STBLCP" , NoahmpIO%STBLCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FASTCP" , NoahmpIO%FASTCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LAI" , NoahmpIO%LAI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SAI" , NoahmpIO%XSAIXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "VEGFRA" , NoahmpIO%VEGFRA ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMIN" , NoahmpIO%GVFMIN ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMAX" , NoahmpIO%GVFMAX ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACMELT" , NoahmpIO%ACSNOM ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACSNOW" , NoahmpIO%ACSNOW ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAUSS" , NoahmpIO%TAUSSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSFC" , NoahmpIO%QSFC ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",NoahmpIO%SFCRUNOFF) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,NoahmpIO%UDRUNOFF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,NoahmpIO%QTDRAIN ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , NoahmpIO%ACC_SSOILXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", NoahmpIO%ACC_QINSURXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , NoahmpIO%ACC_QSEVAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", NoahmpIO%ACC_ETRANIXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", NoahmpIO%ACC_DWATERXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , NoahmpIO%ACC_PRCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , NoahmpIO%ACC_ECANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , NoahmpIO%ACC_ETRANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , NoahmpIO%ACC_EDIRXY ) ! below for irrigation scheme - IF (irrigation_option > 0) THEN - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , IRNUMSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMMI" , IRNUMMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMFI" , IRNUMFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATSI" , IRWATSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATMI" , IRWATMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATFI" , IRWATFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRSIVOL" , IRSIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRMIVOL" , IRMIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRFIVOL" , IRFIVOL ) - ENDIF - ! below for opt_run = 5 - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMOISEQ" , SMOISEQ ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , AREAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMCWTDXY" , SMCWTDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , QRFXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DEEPRECHXY", DEEPRECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , QSPRINGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , QSLATXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , QRFSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", QSPRINGSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , RECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,FDEPTHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",RIVERCONDXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,RIVERBEDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,EQZWT ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,PEXPXY ) - - IF(SF_URBAN_PHYSICS > 0 ) THEN ! any urban model - - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , SH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , LH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , G_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , RN_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , TS_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , FRC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , UTYPE_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , LP_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , LB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , HGT_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , MH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , STDH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , HI_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , LF_URB2D ) - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model - - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , CMR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , CHR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , CMC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , CHC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , CMGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , CHGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , TR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , TB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , TG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , TC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , QC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , UC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , XXXR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , XXXB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , XXXG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , XXXC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , TRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , TBL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , TGL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , CMCR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , TGR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , TGRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , SMR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , DRELR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , DRELB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , DRELG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,FLXHUMR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,FLXHUMB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,FLXHUMG_URB2D ) - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models - - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , TRB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , TW1_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , TW2_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , TGB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , SFW1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , SFW2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , SFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , SFG_URB3D ) - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model - - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , TLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , QLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , TW1LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , TW2LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , TGLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , TFLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , SF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , LF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , CM_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , SFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , LFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , SFWIN1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , SFWIN2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , EP_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , T_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , TRV_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , QR_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , QGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , TGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , DRAIN_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,DRAINGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , SFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , LFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , DGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , DG_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , LFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , LFG_URB3D ) + if ( NoahmpIO%IOPT_IRR > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , NoahmpIO%IRNUMSI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMMI" , NoahmpIO%IRNUMMI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMFI" , NoahmpIO%IRNUMFI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATSI" , NoahmpIO%IRWATSI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATMI" , NoahmpIO%IRWATMI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATFI" , NoahmpIO%IRWATFI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRSIVOL" , NoahmpIO%IRSIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRMIVOL" , NoahmpIO%IRMIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRFIVOL" , NoahmpIO%IRFIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRELOSS" , NoahmpIO%IRELOSS ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRRSPLH" , NoahmpIO%IRRSPLH ) + endif - ENDIF + ! below for MMF groundwater scheme + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMOISEQ" , NoahmpIO%SMOISEQ ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , NoahmpIO%AREAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMCWTDXY" , NoahmpIO%SMCWTDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , NoahmpIO%QRFXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DEEPRECHXY", NoahmpIO%DEEPRECHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , NoahmpIO%QSPRINGXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , NoahmpIO%QSLATXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , NoahmpIO%QRFSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", NoahmpIO%QSPRINGSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , NoahmpIO%RECHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,NoahmpIO%FDEPTHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",NoahmpIO%RIVERCONDXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,NoahmpIO%RIVERBEDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,NoahmpIO%EQZWT ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,NoahmpIO%PEXPXY ) + endif + + ! below for urban model + if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , NoahmpIO%SH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , NoahmpIO%LH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , NoahmpIO%G_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , NoahmpIO%RN_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , NoahmpIO%TS_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , NoahmpIO%FRC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , NoahmpIO%UTYPE_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , NoahmpIO%LP_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , NoahmpIO%LB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , NoahmpIO%HGT_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , NoahmpIO%MH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , NoahmpIO%STDH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , NoahmpIO%HI_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , NoahmpIO%LF_URB2D ) + + !IF(NoahmpIO%SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , NoahmpIO%CMR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , NoahmpIO%CHR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , NoahmpIO%CMC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , NoahmpIO%CHC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , NoahmpIO%CMGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , NoahmpIO%CHGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , NoahmpIO%TR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , NoahmpIO%TB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , NoahmpIO%TG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , NoahmpIO%TC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , NoahmpIO%QC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , NoahmpIO%UC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , NoahmpIO%XXXR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , NoahmpIO%XXXB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , NoahmpIO%XXXG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , NoahmpIO%XXXC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , NoahmpIO%TRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , NoahmpIO%TBL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , NoahmpIO%TGL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , NoahmpIO%CMCR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , NoahmpIO%TGR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , NoahmpIO%TGRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , NoahmpIO%SMR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , NoahmpIO%DRELR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , NoahmpIO%DRELB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , NoahmpIO%DRELG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,NoahmpIO%FLXHUMR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,NoahmpIO%FLXHUMB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,NoahmpIO%FLXHUMG_URB2D ) + !ENDIF + + !IF(NoahmpIO%SF_URBAN_PHYSICS == 2 .or. NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , NoahmpIO%TRB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , NoahmpIO%TW1_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , NoahmpIO%TW2_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , NoahmpIO%TGB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , NoahmpIO%SFW1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , NoahmpIO%SFW2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , NoahmpIO%SFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , NoahmpIO%SFG_URB3D ) + !ENDIF + + !IF(NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEM urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , NoahmpIO%TLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , NoahmpIO%QLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , NoahmpIO%TW1LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , NoahmpIO%TW2LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , NoahmpIO%TGLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , NoahmpIO%TFLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , NoahmpIO%SF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , NoahmpIO%LF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , NoahmpIO%CM_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , NoahmpIO%SFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , NoahmpIO%LFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , NoahmpIO%SFWIN1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , NoahmpIO%SFWIN2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , NoahmpIO%EP_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , NoahmpIO%T_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , NoahmpIO%TRV_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , NoahmpIO%QR_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , NoahmpIO%QGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , NoahmpIO%TGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , NoahmpIO%DRAIN_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,NoahmpIO%DRAINGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , NoahmpIO%SFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , NoahmpIO%LFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , NoahmpIO%DGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , NoahmpIO%DG_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , NoahmpIO%LFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , NoahmpIO%LFG_URB3D ) + + endif - STEPWTD = nint(WTDDT*60./DTBL) - STEPWTD = max(STEPWTD,1) - -! Must still call NOAHMP_INIT even in restart to set up parameter arrays (also done in WRF) - - CALL NOAHMP_INIT( LLANDUSE, SNOW, SNOWH, CANWAT, ISLTYP, IVGTYP, XLAT, & ! call from WRF phys_init - TSLB, SMOIS, SH2O, DZS, FNDSOILW, FNDSNOWH, & - TSK, ISNOWXY, TVXY, TGXY, CANICEXY, TMN, XICE, & - CANLIQXY, EAHXY, TAHXY, CMXY, CHXY, & - FWETXY, SNEQVOXY, ALBOLDXY, QSNOWXY, QRAINXY, WSLAKEXY, ZWTXY, WAXY, & - WTXY, TSNOXY, ZSNSOXY, SNICEXY, SNLIQXY, LFMASSXY, RTMASSXY, & - STMASSXY, WOODXY, STBLCPXY, FASTCPXY, XSAIXY, LAI, & - GRAINXY, GDDXY, & - CROPTYPE, CROPCAT, & - irnumsi ,irnummi ,irnumfi ,irwatsi, & - irwatmi ,irwatfi ,ireloss ,irsivol, & - irmivol ,irfivol ,irrsplh , & - T2MVXY, T2MBXY, CHSTARXY, & - NSOIL, .true., & - .true.,runoff_option, crop_option, irrigation_option, irrigation_method, & - sf_urban_physics, & ! urban scheme - ids,ide+1, jds,jde+1, kds,kde, & ! domain - ims,ime, jms,jme, kms,kme, & ! memory - its,ite, jts,jte, kts,kte & ! tile - ,smoiseq ,smcwtdxy ,rechxy, deeprechxy, qtdrain, areaxy ,dx, dy, msftx, msfty,& - wtddt ,stepwtd ,dtbl ,qrfsxy ,qspringsxy ,qslatxy, & - fdepthxy ,terrain ,riverbedxy ,eqzwt ,rivercondxy ,pexpxy, & - rechclim ,gecros_state & - ) - - IF(SF_URBAN_PHYSICS > 0 ) THEN !urban - - CALL urban_param_init(DZR,DZB,DZG,num_soil_layers,sf_urban_physics,use_wudapt_lcz) - - CALL urban_var_init(ISURBAN,TSK,TSLB,TMN,IVGTYP, & !urban - ims,ime,jms,jme,kms,kme,num_soil_layers, & !urban - LCZ_1_TABLE,LCZ_2_TABLE,LCZ_3_TABLE,LCZ_4_TABLE,LCZ_5_TABLE, & !urban - LCZ_6_TABLE,LCZ_7_TABLE,LCZ_8_TABLE,LCZ_9_TABLE,LCZ_10_TABLE, & !urban - LCZ_11_TABLE, & !urban - .true.,sf_urban_physics, & !urban - XXXR_URB2D, XXXB_URB2D, XXXG_URB2D,XXXC_URB2D, & !urban - TR_URB2D, TB_URB2D, TG_URB2D, TC_URB2D, QC_URB2D, & !urban - TRL_URB3D, TBL_URB3D, TGL_URB3D, & !urban - SH_URB2D, LH_URB2D, G_URB2D, RN_URB2D, TS_URB2D, & !urban - num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & !I multi-layer urban - urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & !I multi-layer urban - urban_map_gbd, urban_map_fbd, urban_map_zgrd, & !I multi-layer urban - num_urban_hi, & !urban - TRB_URB4D, TW1_URB4D, TW2_URB4D, TGB_URB4D, & !urban - TLEV_URB3D, QLEV_URB3D, & !urban - TW1LEV_URB3D, TW2LEV_URB3D, & !urban - TGLEV_URB3D, TFLEV_URB3D, & !urban - SF_AC_URB3D, LF_AC_URB3D, CM_AC_URB3D, & !urban - SFVENT_URB3D, LFVENT_URB3D, & !urban - SFWIN1_URB3D, SFWIN2_URB3D, & !urban - SFW1_URB3D, SFW2_URB3D, SFR_URB3D, SFG_URB3D, & !urban - EP_PV_URB3D, T_PV_URB3D, & !GRZ - TRV_URB4D, QR_URB4D, QGR_URB3D, TGR_URB3D, & !GRZ - DRAIN_URB4D, DRAINGR_URB3D, SFRV_URB3D, & !GRZ - LFRV_URB3D, DGR_URB3D, DG_URB3D, LFR_URB3D, LFG_URB3D, & !GRZ - SMOIS, & !GRZ - LP_URB2D, HI_URB2D, LB_URB2D, & !urban - HGT_URB2D, MH_URB2D, STDH_URB2D, & !urban - LF_URB2D, & !urban - CMCR_URB2D, TGR_URB2D, TGRL_URB3D, SMR_URB3D, & !urban - DRELR_URB2D, DRELB_URB2D, DRELG_URB2D, & !urban - FLXHUMR_URB2D, FLXHUMB_URB2D, FLXHUMG_URB2D, & !urban - A_U_BEP, A_V_BEP, A_T_BEP, A_Q_BEP, & !multi-layer urban - A_E_BEP, B_U_BEP, B_V_BEP, & !multi-layer urban - B_T_BEP, B_Q_BEP, B_E_BEP, DLG_BEP, & !multi-layer urban - DL_U_BEP, SF_BEP, VL_BEP, & !multi-layer urban - FRC_URB2D, UTYPE_URB2D, use_wudapt_lcz) !urban - - max_utype_urb2d = maxval(UTYPE_URB2D)*1.0 - IF (use_wudapt_lcz.eq.0 .and. max_utype_urb2d.gt.3.0) THEN !new LCZ - CALL wrf_error_fatal & + NoahmpIO%STEPWTD = nint(NoahmpIO%WTDDT*60./NoahmpIO%DTBL) + NoahmpIO%STEPWTD = max(NoahmpIO%STEPWTD,1) + +! Must still call NoahmpInitMain even in restart to set up parameter arrays (also done in WRF) + +!------------------------------------------------------------------------------------------ +! Initialize Noah-MP states and variables +!------------------------------------------------------------------------------------------ + CALL NoahmpInitMain(NoahmpIO) + + IF(NoahmpIO%SF_URBAN_PHYSICS > 0 ) THEN !urban + + CALL urban_param_init(NoahmpIO%DZR, NoahmpIO%DZB, NoahmpIO%DZG, NoahmpIO%NSOIL, & + NoahmpIO%sf_urban_physics, NoahmpIO%use_wudapt_lcz, NoahmpIO%IRI_URBAN) ! cenlin added + + CALL urban_var_init(NoahmpIO%ISURBAN, NoahmpIO%TSK, NoahmpIO%TSLB, NoahmpIO%TMN, & !urban + NoahmpIO%IVGTYP, NoahmpIO%ims,NoahmpIO%ime,NoahmpIO%jms,NoahmpIO%jme, & !urban + NoahmpIO%kms,NoahmpIO%kme,NoahmpIO%NSOIL, NoahmpIO%LCZ_1_TABLE, & !urban + NoahmpIO%LCZ_2_TABLE,NoahmpIO%LCZ_3_TABLE,NoahmpIO%LCZ_4_TABLE,NoahmpIO%LCZ_5_TABLE, & !urban + NoahmpIO%LCZ_6_TABLE,NoahmpIO%LCZ_7_TABLE,NoahmpIO%LCZ_8_TABLE,NoahmpIO%LCZ_9_TABLE, & !urban + NoahmpIO%LCZ_10_TABLE, NoahmpIO%LCZ_11_TABLE,.true.,NoahmpIO%sf_urban_physics, & !urban + NoahmpIO%XXXR_URB2D, NoahmpIO%XXXB_URB2D, NoahmpIO%XXXG_URB2D, NoahmpIO%XXXC_URB2D, & !urban + NoahmpIO%TR_URB2D, NoahmpIO%TB_URB2D, NoahmpIO%TG_URB2D, NoahmpIO%TC_URB2D,NoahmpIO%QC_URB2D,& !urban + NoahmpIO%TRL_URB3D, NoahmpIO%TBL_URB3D, NoahmpIO%TGL_URB3D, NoahmpIO%SH_URB2D, & !urban + NoahmpIO%LH_URB2D, NoahmpIO%G_URB2D, NoahmpIO%RN_URB2D, NoahmpIO%TS_URB2D, & !urban + NoahmpIO%num_urban_ndm, NoahmpIO%urban_map_zrd, NoahmpIO%urban_map_zwd, & !urban + NoahmpIO%urban_map_gd, & !I multi-layer urban + NoahmpIO%urban_map_zd, NoahmpIO%urban_map_zdf, NoahmpIO%urban_map_bd, & !I multi-layer urban + NoahmpIO%urban_map_wd, NoahmpIO%urban_map_gbd, NoahmpIO%urban_map_fbd, & !I multi-layer urban + NoahmpIO%urban_map_zgrd, & !I multi-layer urban + NoahmpIO%num_urban_hi, & !urban + NoahmpIO%TRB_URB4D, NoahmpIO%TW1_URB4D, NoahmpIO%TW2_URB4D, NoahmpIO%TGB_URB4D, & !urban + NoahmpIO%TLEV_URB3D, NoahmpIO%QLEV_URB3D, & !urban + NoahmpIO%TW1LEV_URB3D,NoahmpIO%TW2LEV_URB3D, & !urban + NoahmpIO%TGLEV_URB3D, NoahmpIO%TFLEV_URB3D, & !urban + NoahmpIO%SF_AC_URB3D, NoahmpIO%LF_AC_URB3D, NoahmpIO%CM_AC_URB3D, & !urban + NoahmpIO%SFVENT_URB3D, NoahmpIO%LFVENT_URB3D, & !urban + NoahmpIO%SFWIN1_URB3D, NoahmpIO%SFWIN2_URB3D, & !urban + NoahmpIO%SFW1_URB3D, NoahmpIO%SFW2_URB3D, NoahmpIO%SFR_URB3D, NoahmpIO%SFG_URB3D, & !urban + NoahmpIO%EP_PV_URB3D, NoahmpIO%T_PV_URB3D, & !GRZ + NoahmpIO%TRV_URB4D, NoahmpIO%QR_URB4D, NoahmpIO%QGR_URB3D, NoahmpIO%TGR_URB3D, & !GRZ + NoahmpIO%DRAIN_URB4D, NoahmpIO%DRAINGR_URB3D, NoahmpIO%SFRV_URB3D, & !GRZ + NoahmpIO%LFRV_URB3D, NoahmpIO%DGR_URB3D, NoahmpIO%DG_URB3D, NoahmpIO%LFR_URB3D, & !GRZ + NoahmpIO%LFG_URB3D, NoahmpIO%SMOIS, & !GRZ + NoahmpIO%LP_URB2D, NoahmpIO%HI_URB2D, NoahmpIO%LB_URB2D, & !urban + NoahmpIO%HGT_URB2D, NoahmpIO%MH_URB2D, NoahmpIO%STDH_URB2D, & !urban + NoahmpIO%LF_URB2D, & !urban + NoahmpIO%CMCR_URB2D, NoahmpIO%TGR_URB2D, NoahmpIO%TGRL_URB3D, NoahmpIO%SMR_URB3D, & !urban + NoahmpIO%DRELR_URB2D, NoahmpIO%DRELB_URB2D, NoahmpIO%DRELG_URB2D, & !urban + NoahmpIO%FLXHUMR_URB2D, NoahmpIO%FLXHUMB_URB2D, NoahmpIO%FLXHUMG_URB2D, & !urban + NoahmpIO%A_U_BEP, NoahmpIO%A_V_BEP, NoahmpIO%A_T_BEP, NoahmpIO%A_Q_BEP, & !multi-layer urban + NoahmpIO%A_E_BEP, NoahmpIO%B_U_BEP, NoahmpIO%B_V_BEP, & !multi-layer urban + NoahmpIO%B_T_BEP, NoahmpIO%B_Q_BEP, NoahmpIO%B_E_BEP, NoahmpIO%DLG_BEP, & !multi-layer urban + NoahmpIO%DL_U_BEP, NoahmpIO%SF_BEP, NoahmpIO%VL_BEP, & !multi-layer urban + NoahmpIO%FRC_URB2D, NoahmpIO%UTYPE_URB2D, NoahmpIO%use_wudapt_lcz) !urban + + max_utype_urb2d = maxval(NoahmpIO%UTYPE_URB2D)*1.0 + IF (NoahmpIO%use_wudapt_lcz.eq.0 .and. max_utype_urb2d.gt.3.0) THEN !new LCZ + CALL wrf_error_fatal & ('USING 10 WUDAPT LCZ WITHOUT URBPARM_LCZ.TBL. SET USE_WUDAPT_LCZ=1') - ENDIF - IF (use_wudapt_lcz.eq.1 .and. max_utype_urb2d.le.3.0) THEN ! new LCZ - CALL wrf_error_fatal & + ENDIF + IF (NoahmpIO%use_wudapt_lcz.eq.1 .and. max_utype_urb2d.le.3.0) THEN ! new LCZ + CALL wrf_error_fatal & ('USING URBPARM_LCZ.TBL WITH OLD 3 URBAN CLASSES. SET USE_WUDAPT_LCZ=0') - ENDIF + ENDIF - ENDIF + ENDIF else - restart_flag = .FALSE. - - SMOIS = undefined_real - TSLB = undefined_real - SH2O = undefined_real - CANLIQXY = undefined_real - TSK = undefined_real - RAINBL_tmp = undefined_real - SNOW = undefined_real - SNOWH = undefined_real + NoahmpIO%restart_flag = .false. + NoahmpIO%SMOIS = huge(1.0) + NoahmpIO%TSLB = huge(1.0) + NoahmpIO%SH2O = huge(1.0) + NoahmpIO%CANLIQXY = huge(1.0) + NoahmpIO%TSK = huge(1.0) + NoahmpIO%SNOW = huge(1.0) + NoahmpIO%SNOWH = huge(1.0) #ifdef WRF_HYDRO if((forc_typ .gt. 2) .and. (forc_typ .ne. 6) ) HRLDAS_ini_typ = 0 @@ -2240,33 +594,36 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) if(HRLDAS_ini_typ .eq. 1) then ! read initial parameters and conditions from the HRLDAS forcing data if(forc_typ .eq. 2) then - inflnm = trim(indir)//"/"//& - startdate(1:4)//startdate(6:7)//startdate(9:10)//startdate(12:13)//& - startdate(15:16)//".LDASIN_DOMAIN"//hgrid + NoahmpIO%inflnm = trim(indir)//"/"//& + NoahmpIO%startdate(1:4)//NoahmpIO%startdate(6:7)//NoahmpIO%startdate(9:10)//NoahmpIO%startdate(12:13)//& + NoahmpIO%startdate(15:16)//".LDASIN_DOMAIN"//NoahmpIO%hgrid else - inflnm = trim(indir)//"/"//& - startdate(1:4)//startdate(6:7)//startdate(9:10)//startdate(12:13)//& - ".LDASIN_DOMAIN"//hgrid + NoahmpIO%inflnm = trim(NoahmpIO%indir)//"/"//& + NoahmpIO%startdate(1:4)//NoahmpIO%startdate(6:7)//NoahmpIO%startdate(9:10)//NoahmpIO%startdate(12:13)//& + ".LDASIN_DOMAIN"//NoahmpIO%hgrid endif #else - inflnm = trim(indir)//"/"//& - startdate(1:4)//startdate(6:7)//startdate(9:10)//startdate(12:13)//& - ".LDASIN_DOMAIN"//hgrid + NoahmpIO%inflnm = trim(NoahmpIO%indir)//"/"//& + NoahmpIO%startdate(1:4)//NoahmpIO%startdate(6:7)//NoahmpIO%startdate(9:10)//NoahmpIO%startdate(12:13)//& + ".LDASIN_DOMAIN"//NoahmpIO%hgrid #endif - CALL READINIT_HRLDAS(HRLDAS_SETUP_FILE, xstart, xend, ystart, yend, & - NSOIL, DZS, OLDDATE, LDASIN_VERSION, SMOIS, & - TSLB, CANWAT, TSK, SNOW, SNOWH, FNDSNOWH) - - VEGFRA = undefined_real - LAI = undefined_real - GVFMIN = undefined_real - GVFMAX = undefined_real + CALL READINIT_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & + NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%NSOIL, NoahmpIO%DZS, & + NoahmpIO%OLDDATE, LDASIN_VERSION, NoahmpIO%SMOIS, & + NoahmpIO%TSLB, NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, & + NoahmpIO%SNOWH, NoahmpIO%FNDSNOWH) + + NoahmpIO%VEGFRA = huge(1.0) + NoahmpIO%LAI = huge(1.0) + NoahmpIO%GVFMIN = huge(1.0) + NoahmpIO%GVFMAX = huge(1.0) - CALL READVEG_HRLDAS(HRLDAS_SETUP_FILE, xstart, xend, ystart, yend, & - OLDDATE, IVGTYP, VEGFRA, LAI, GVFMIN, GVFMAX) + CALL READVEG_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & + NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%OLDDATE, NoahmpIO%IVGTYP, & + NoahmpIO%VEGFRA, NoahmpIO%LAI, NoahmpIO%GVFMIN, NoahmpIO%GVFMAX) #ifdef WRF_HYDRO else ! HRLDAS_ini_typ @@ -2276,173 +633,138 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) #else call HYDRO_HRLDAS_ini & #endif - (trim(hrldas_setup_file), xend-xstart+1,yend-ystart+1, & - nsoil,SMOIS(:,1:NSOIL,:),TSLB(:,1:NSOIL,:),SH2O(:,1:NSOIL,:), CANWAT, TSK,SNOW,SNOWH,lai,VEGFRA,IVGTYP,FNDSNOWH) + (trim(NoahmpIO%hrldas_setup_file), NoahmpIO%xend-NoahmpIO%xstart+1,NoahmpIO%yend-NoahmpIO%ystart+1, & + NoahmpIO%NSOIL,NoahmpIO%SMOIS(:,1:NoahmpIO%NSOIL,:),NoahmpIO%TSLB(:,1:NoahmpIO%NSOIL,:),NoahmpIO%SH2O(:,1:NoahmpIO%NSOIL,:), & + NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, NoahmpIO%SNOWH, NoahmpIO%lai, NoahmpIO%VEGFRA, NoahmpIO%IVGTYP, & + NoahmpIO%FNDSNOWH) - greenfrac = 0.0 + NoahmpIO%greenfrac = 0.0 #ifdef MPP_LAND call get_greenfrac_mpp & #else call get_greenfrac & #endif - (trim(GEO_STATIC_FLNM),greenfrac, ix, jx, olddate, SHDMAX) + (trim(NoahmpIO%GEO_STATIC_FLNM),NoahmpIO%greenfrac, NoahmpIO%ix, NoahmpIO%jx, NoahmpIO%olddate, NoahmpIO%SHDMAX) !yw GVFMAX = maxval(greenfrac) endif #endif -! SNOW = SNOW * 1000. ! Convert snow water equivalent to mm. MB: remove v3.7 - - FNDSOILW = .FALSE. - CALL NOAHMP_INIT( LLANDUSE, SNOW, SNOWH, CANWAT, ISLTYP, IVGTYP, XLAT, & ! call from WRF phys_init - TSLB, SMOIS, SH2O, DZS, FNDSOILW, FNDSNOWH, & - TSK, ISNOWXY, TVXY, TGXY, CANICEXY, TMN, XICE, & - CANLIQXY, EAHXY, TAHXY, CMXY, CHXY, & - FWETXY, SNEQVOXY, ALBOLDXY, QSNOWXY, QRAINXY, WSLAKEXY, ZWTXY, WAXY, & - WTXY, TSNOXY, ZSNSOXY, SNICEXY, SNLIQXY, LFMASSXY, RTMASSXY, & - STMASSXY, WOODXY, STBLCPXY, FASTCPXY, XSAIXY, LAI, & - GRAINXY, GDDXY, & - CROPTYPE, CROPCAT, & - irnumsi ,irnummi ,irnumfi ,irwatsi, & - irwatmi ,irwatfi ,ireloss ,irsivol, & - irmivol ,irfivol ,irrsplh , & - T2MVXY, T2MBXY, CHSTARXY, & - NSOIL, .false., & - .true.,runoff_option, crop_option, irrigation_option, irrigation_method, & - sf_urban_physics, & ! urban scheme - ids,ide+1, jds,jde+1, kds,kde, & ! domain - ims,ime, jms,jme, kms,kme, & ! memory - its,ite, jts,jte, kts,kte & ! tile - ,smoiseq ,smcwtdxy ,rechxy, deeprechxy, qtdrain, areaxy ,dx, dy, msftx, msfty,& - wtddt ,stepwtd ,dtbl ,qrfsxy ,qspringsxy ,qslatxy, & - fdepthxy ,terrain ,riverbedxy ,eqzwt ,rivercondxy ,pexpxy, & - rechclim ,gecros_state & - ) - - if(iopt_run == 5) then - call groundwater_init ( grid, & - num_soil_layers, dzs, isltyp, ivgtyp, wtddt , & - fdepthxy , terrain , riverbedxy, eqzwt , & - rivercondxy, pexpxy , areaxy , zwtxy , & - smois , sh2o , smoiseq , smcwtdxy , & - QLATXY , qslatxy , QRFXY , qrfsxy , & - deeprechxy , rechxy , QSPRINGXY , qspringsxy, & - rechclim , & - ids,ide+1, jds,jde+1, kds,kde, & - ims,ime, jms,jme, kms,kme, & - ims,ime, jms,jme, kms,kme, & - its,ite, jts,jte, kts,kte ) - endif - - TAUSSXY = 0.0 ! Need to be added to _INIT later - - IF(SF_URBAN_PHYSICS > 0 ) THEN !urban - - CALL urban_param_init(DZR,DZB,DZG,num_soil_layers,sf_urban_physics,use_wudapt_lcz) - - CALL urban_var_init(ISURBAN,TSK,TSLB,TMN,IVGTYP, & !urban - ims,ime,jms,jme,kms,kme,num_soil_layers, & !urban - LCZ_1_TABLE,LCZ_2_TABLE,LCZ_3_TABLE,LCZ_4_TABLE,LCZ_5_TABLE, & !urban - LCZ_6_TABLE,LCZ_7_TABLE,LCZ_8_TABLE,LCZ_9_TABLE,LCZ_10_TABLE, & !urban - LCZ_11_TABLE, & !urban - .false.,sf_urban_physics, & !urban - XXXR_URB2D, XXXB_URB2D, XXXG_URB2D,XXXC_URB2D, & !urban - TR_URB2D, TB_URB2D, TG_URB2D, TC_URB2D, QC_URB2D, & !urban - TRL_URB3D, TBL_URB3D, TGL_URB3D, & !urban - SH_URB2D, LH_URB2D, G_URB2D, RN_URB2D, TS_URB2D, & !urban - num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & !I multi-layer urban - urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & !I multi-layer urban - urban_map_gbd, urban_map_fbd, urban_map_zgrd, & !I multi-layer urban - num_urban_hi, & !urban - TRB_URB4D, TW1_URB4D, TW2_URB4D, TGB_URB4D, & !urban - TLEV_URB3D, QLEV_URB3D, & !urban - TW1LEV_URB3D, TW2LEV_URB3D, & !urban - TGLEV_URB3D, TFLEV_URB3D, & !urban - SF_AC_URB3D, LF_AC_URB3D, CM_AC_URB3D, & !urban - SFVENT_URB3D, LFVENT_URB3D, & !urban - SFWIN1_URB3D, SFWIN2_URB3D, & !urban - SFW1_URB3D, SFW2_URB3D, SFR_URB3D, SFG_URB3D, & !urban - EP_PV_URB3D, T_PV_URB3D, & !GRZ - TRV_URB4D, QR_URB4D, QGR_URB3D, TGR_URB3D, & !GRZ - DRAIN_URB4D, DRAINGR_URB3D, SFRV_URB3D, & !GRZ - LFRV_URB3D, DGR_URB3D, DG_URB3D, LFR_URB3D, LFG_URB3D, & !GRZ - SMOIS, & !GRZ - LP_URB2D, HI_URB2D, LB_URB2D, & !urban - HGT_URB2D, MH_URB2D, STDH_URB2D, & !urban - LF_URB2D, & !urban - CMCR_URB2D, TGR_URB2D, TGRL_URB3D, SMR_URB3D, & !urban - DRELR_URB2D, DRELB_URB2D, DRELG_URB2D, & !urban - FLXHUMR_URB2D, FLXHUMB_URB2D, FLXHUMG_URB2D, & !urban - A_U_BEP, A_V_BEP, A_T_BEP, A_Q_BEP, & !multi-layer urban - A_E_BEP, B_U_BEP, B_V_BEP, & !multi-layer urban - B_T_BEP, B_Q_BEP, B_E_BEP, DLG_BEP, & !multi-layer urban - DL_U_BEP, SF_BEP, VL_BEP, & !multi-layer urban - FRC_URB2D, UTYPE_URB2D, use_wudapt_lcz) !urban - - max_utype_urb2d = maxval(UTYPE_URB2D)*1.0 - IF (use_wudapt_lcz.eq.0 .and. max_utype_urb2d.gt.3.0) THEN !new LCZ + !---------------------------------------------------------------------------------- + ! Initialize Noah-MP variables + !---------------------------------------------------------------------------------- + call NoahmpInitMain(NoahmpIO) + + !---------------------------------------------------------------------------------- + ! Initialize MMF Groundwater variables + !---------------------------------------------------------------------------------- + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call NoahmpGroundwaterInitMain(grid, NoahmpIO) + endif + + if (NoahmpIO%SF_URBAN_PHYSICS > 0 ) then !urban + + CALL urban_param_init(NoahmpIO%DZR,NoahmpIO%DZB,NoahmpIO%DZG,NoahmpIO%NSOIL, & + NoahmpIO%sf_urban_physics,NoahmpIO%use_wudapt_lcz,NoahmpIO%IRI_URBAN) ! cenlin added + + CALL urban_var_init(NoahmpIO%ISURBAN, NoahmpIO%TSK, NoahmpIO%TSLB, NoahmpIO%TMN, & !urban + NoahmpIO%IVGTYP, NoahmpIO%ims,NoahmpIO%ime,NoahmpIO%jms,NoahmpIO%jme, & !urban + NoahmpIO%kms,NoahmpIO%kme,NoahmpIO%NSOIL, NoahmpIO%LCZ_1_TABLE, & !urban + NoahmpIO%LCZ_2_TABLE,NoahmpIO%LCZ_3_TABLE,NoahmpIO%LCZ_4_TABLE,NoahmpIO%LCZ_5_TABLE, & !urban + NoahmpIO%LCZ_6_TABLE,NoahmpIO%LCZ_7_TABLE,NoahmpIO%LCZ_8_TABLE,NoahmpIO%LCZ_9_TABLE, & !urban + NoahmpIO%LCZ_10_TABLE, NoahmpIO%LCZ_11_TABLE,.true.,NoahmpIO%sf_urban_physics, & !urban + NoahmpIO%XXXR_URB2D, NoahmpIO%XXXB_URB2D, NoahmpIO%XXXG_URB2D, NoahmpIO%XXXC_URB2D, & !urban + NoahmpIO%TR_URB2D, NoahmpIO%TB_URB2D, NoahmpIO%TG_URB2D, NoahmpIO%TC_URB2D,NoahmpIO%QC_URB2D,& !urban + NoahmpIO%TRL_URB3D, NoahmpIO%TBL_URB3D, NoahmpIO%TGL_URB3D, NoahmpIO%SH_URB2D, & !urban + NoahmpIO%LH_URB2D, NoahmpIO%G_URB2D, NoahmpIO%RN_URB2D, NoahmpIO%TS_URB2D, & !urban + NoahmpIO%num_urban_ndm, NoahmpIO%urban_map_zrd, NoahmpIO%urban_map_zwd, & !urban + NoahmpIO%urban_map_gd, & !I multi-layer urban + NoahmpIO%urban_map_zd, NoahmpIO%urban_map_zdf, NoahmpIO%urban_map_bd, & !I multi-layer urban + NoahmpIO%urban_map_wd, NoahmpIO%urban_map_gbd, NoahmpIO%urban_map_fbd, & !I multi-layer urban + NoahmpIO%urban_map_zgrd, & !I multi-layer urban + NoahmpIO%num_urban_hi, & !urban + NoahmpIO%TRB_URB4D, NoahmpIO%TW1_URB4D, NoahmpIO%TW2_URB4D, NoahmpIO%TGB_URB4D, & !urban + NoahmpIO%TLEV_URB3D, NoahmpIO%QLEV_URB3D, & !urban + NoahmpIO%TW1LEV_URB3D,NoahmpIO%TW2LEV_URB3D, & !urban + NoahmpIO%TGLEV_URB3D, NoahmpIO%TFLEV_URB3D, & !urban + NoahmpIO%SF_AC_URB3D, NoahmpIO%LF_AC_URB3D, NoahmpIO%CM_AC_URB3D, & !urban + NoahmpIO%SFVENT_URB3D, NoahmpIO%LFVENT_URB3D, & !urban + NoahmpIO%SFWIN1_URB3D, NoahmpIO%SFWIN2_URB3D, & !urban + NoahmpIO%SFW1_URB3D, NoahmpIO%SFW2_URB3D, NoahmpIO%SFR_URB3D, NoahmpIO%SFG_URB3D, & !urban + NoahmpIO%EP_PV_URB3D, NoahmpIO%T_PV_URB3D, & !GRZ + NoahmpIO%TRV_URB4D, NoahmpIO%QR_URB4D, NoahmpIO%QGR_URB3D, NoahmpIO%TGR_URB3D, & !GRZ + NoahmpIO%DRAIN_URB4D, NoahmpIO%DRAINGR_URB3D, NoahmpIO%SFRV_URB3D, & !GRZ + NoahmpIO%LFRV_URB3D, NoahmpIO%DGR_URB3D, NoahmpIO%DG_URB3D, NoahmpIO%LFR_URB3D, & !GRZ + NoahmpIO%LFG_URB3D, NoahmpIO%SMOIS, & !GRZ + NoahmpIO%LP_URB2D, NoahmpIO%HI_URB2D, NoahmpIO%LB_URB2D, & !urban + NoahmpIO%HGT_URB2D, NoahmpIO%MH_URB2D, NoahmpIO%STDH_URB2D, & !urban + NoahmpIO%LF_URB2D, & !urban + NoahmpIO%CMCR_URB2D, NoahmpIO%TGR_URB2D, NoahmpIO%TGRL_URB3D, NoahmpIO%SMR_URB3D, & !urban + NoahmpIO%DRELR_URB2D, NoahmpIO%DRELB_URB2D, NoahmpIO%DRELG_URB2D, & !urban + NoahmpIO%FLXHUMR_URB2D, NoahmpIO%FLXHUMB_URB2D, NoahmpIO%FLXHUMG_URB2D, & !urban + NoahmpIO%A_U_BEP, NoahmpIO%A_V_BEP, NoahmpIO%A_T_BEP, NoahmpIO%A_Q_BEP, & !multi-layer urban + NoahmpIO%A_E_BEP, NoahmpIO%B_U_BEP, NoahmpIO%B_V_BEP, & !multi-layer urban + NoahmpIO%B_T_BEP, NoahmpIO%B_Q_BEP, NoahmpIO%B_E_BEP, NoahmpIO%DLG_BEP, & !multi-layer urban + NoahmpIO%DL_U_BEP, NoahmpIO%SF_BEP, NoahmpIO%VL_BEP, & !multi-layer urban + NoahmpIO%FRC_URB2D, NoahmpIO%UTYPE_URB2D, NoahmpIO%use_wudapt_lcz) !urban + + max_utype_urb2d = maxval(NoahmpIO%UTYPE_URB2D)*1.0 + + IF (NoahmpIO%use_wudapt_lcz.eq.0 .and. max_utype_urb2d.gt.3.0) THEN !new LCZ CALL wrf_error_fatal & ('USING 10 WUDAPT LCZ WITHOUT URBPARM_LCZ.TBL. SET USE_WUDAPT_LCZ=1') ENDIF - IF (use_wudapt_lcz.eq.1 .and. max_utype_urb2d.le.3.0) THEN ! new LCZ + IF (NoahmpIO%use_wudapt_lcz.eq.1 .and. max_utype_urb2d.le.3.0) THEN ! new LCZ CALL wrf_error_fatal & ('USING URBPARM_LCZ.TBL WITH OLD 3 URBAN CLASSES. SET USE_WUDAPT_LCZ=0') ENDIF - ENDIF + endif !urban - IF(SF_URBAN_PHYSICS > 1 ) THEN !urban - do i = 1, num_urban_atmosphere-1 - dz_urban(:,i,:) = urban_atmosphere_thickness ! thickness of full levels - end do - dz_urban(:,num_urban_atmosphere,:) = & - 2*(zlvl - urban_atmosphere_thickness*(num_urban_atmosphere-1)) - print*, dz_urban(1,:,1) - ENDIF + IF(NoahmpIO%SF_URBAN_PHYSICS > 1 ) THEN !urban + do i = 1, NoahmpIO%num_urban_atmosphere-1 + NoahmpIO%dz_urban(:,i,:) = NoahmpIO%urban_atmosphere_thickness ! thickness of full levels + end do + NoahmpIO%dz_urban(:,NoahmpIO%num_urban_atmosphere,:) = & + 2*(NoahmpIO%zlvl - NoahmpIO%urban_atmosphere_thickness*(NoahmpIO%num_urban_atmosphere-1)) + print*, NoahmpIO%dz_urban(1,:,1) + ENDIF endif ! restart flag - NTIME=(KHOUR)*3600./nint(dtbl)*(spinup_loops+1) - spinup_loop = 0 - reset_spinup_date = .false. + NoahmpIO%NTIME = (NoahmpIO%KHOUR)*3600.0/nint(NoahmpIO%dtbl)*(NoahmpIO%spinup_loops+1) + NoahmpIO%spinup_loop = 0 + NoahmpIO%reset_spinup_date = .false. - print*, "NTIME = ", NTIME , "KHOUR=",KHOUR,"dtbl = ", dtbl + print*, "NTIME = ", NoahmpIO%NTIME , "KHOUR=",NoahmpIO%KHOUR,"dtbl = ", NoahmpIO%dtbl - call system_clock(count=clock_count_1) ! Start a timer + call system_clock(count=NoahmpIO%clock_count_1) ! Start a timer #ifdef WRF_HYDRO - allocate( infxsrt (ix,jx) ) - allocate( sfcheadrt (ix,jx) ) - allocate( soldrain (ix,jx) ) - allocate( etpnd (ix,jx) ) - allocate( prcp0 (ix,jx) ) - allocate( qtiledrain(ix,jx) ) - allocate( ZWATBLE2D (ix,jx) ) - - prcp0 = 0 - sfcheadrt = 0.0 - infxsrt = 0.0 - etpnd = 0.0 - soldrain = 0.0 - qtiledrain= 0.0 - ZWATBLE2D = 0.0 - - allocate(zsoil (NSOIL)) + allocate( etpnd (NoahmpIO%ix,NoahmpIO%jx) ) + allocate( prcp0 (NoahmpIO%ix,NoahmpIO%jx) ) + + etpnd = 0.0 + prcp0 = 0 + + allocate(zsoil (NoahmpIO%NSOIL)) zsoil = 0 - zsoil(1) = -1*soil_thick_input(1) - do kk = 2, NSOIL - zsoil(kk) = zsoil(kk-1)-soil_thick_input(kk) + zsoil(1) = -1*NoahmpIO%soil_thick_input(1) + do kk = 2, NoahmpIO%NSOIL + zsoil(kk) = zsoil(kk-1)-NoahmpIO%soil_thick_input(kk) end do - print*, "zsoil/soil_thick_input = ", soil_thick_input(1:NSOIL) + print*, "zsoil/soil_thick_input = ", NoahmpIO%soil_thick_input(1:NoahmpIO%NSOIL) - call hrldas_drv_HYDRO_ini(TSLB(:,1:NSOIL,:),SMOIS(:,1:NSOIL,:),SH2O(:,1:NSOIL,:), & - infxsrt,sfcheadrt,soldrain,qtiledrain,ZWATBLE2D,ix,jx,NSOIL, SMOIS,real(noah_timestep),& - olddate,zsoil(1:NSOIL)) + call hrldas_drv_HYDRO_ini(NoahmpIO%TSLB(:,1:NoahmpIO%NSOIL,:),NoahmpIO%SMOIS(:,1:NoahmpIO%NSOIL,:), & + NoahmpIO%SH2O(:,1:NoahmpIO%NSOIL,:), NoahmpIO%infxsrt,NoahmpIO%sfcheadrt, & + NoahmpIO%soldrain,NoahmpIO%qtiledrain,NoahmpIO%ZWATBLE2D, & + NoahmpIO%ix,NoahmpIO%jx,NoahmpIO%NSOIL, NoahmpIO%SMOIS, & + real(NoahmpIO%noah_timestep),NoahmpIO%olddate,zsoil(1:NoahmpIO%NSOIL)) if(finemesh .ne. 0 ) then - if(restart_flag) then + if(NoahmpIO%restart_flag) then NTIME_out = 10 else NTIME_out = 1 @@ -2451,31 +773,31 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) endif #endif - NTIME_out = NTIME + NTIME_out = NoahmpIO%NTIME -end subroutine land_driver_ini + end subroutine land_driver_ini !=============================================================================== subroutine land_driver_exe(itime) implicit none integer :: itime ! timestep loop + integer :: I, J, K !--------------------------------------------------------------------------------- ! Read the forcing data. !--------------------------------------------------------------------------------- - ! For HRLDAS, we're assuming (for now) that each time period is in a ! separate file. So we can open a new one right now. - inflnm = trim(indir)//"/"//& - olddate(1:4)//olddate(6:7)//olddate(9:10)//olddate(12:13)//& - ".LDASIN_DOMAIN"//hgrid + NoahmpIO%inflnm = trim(NoahmpIO%indir)//"/"//& + NoahmpIO%olddate(1:4)//NoahmpIO%olddate(6:7)//NoahmpIO%olddate(9:10)//NoahmpIO%olddate(12:13)//& + ".LDASIN_DOMAIN"//NoahmpIO%hgrid ! Build a filename template - inflnm_template = trim(indir)//"/.LDASIN_DOMAIN"//hgrid + NoahmpIO%inflnm_template = trim(NoahmpIO%indir)//"/.LDASIN_DOMAIN"//NoahmpIO%hgrid #ifdef MPP_LAND - call mpp_land_bcast_char(19,OLDDATE(1:19)) + call mpp_land_bcast_char(19,NoahmpIO%OLDDATE(1:19)) #endif #ifdef WRF_HYDRO @@ -2484,353 +806,298 @@ subroutine land_driver_exe(itime) call mpp_land_bcast_char(19,forcDate(1:19)) #endif if(finemesh .ne. 0) goto 991 - + if(forc_typ .eq. 0) then - CALL READFORC_HRLDAS(INFLNM_TEMPLATE, FORCING_TIMESTEP, OLDDATE, & - XSTART, XEND, YSTART, YEND, & - forcing_name_T,forcing_name_Q,forcing_name_U,forcing_name_V,forcing_name_P, & - forcing_name_LW,forcing_name_SW,forcing_name_PR,forcing_name_SN, & - T_PHY(:,1,:),QV_CURR(:,1,:),U_PHY(:,1,:),V_PHY(:,1,:), & - P8W(:,1,:), GLW, SWDOWN, RAINBL_tmp, SNOWBL, VEGFRA, update_veg, LAI, update_lai, reset_spinup_date, startdate) - VEGFRA = VEGFRA * 100. + CALL READFORC_HRLDAS(NoahmpIO%INFLNM_TEMPLATE, NoahmpIO%FORCING_TIMESTEP, & + NoahmpIO%OLDDATE,NoahmpIO%XSTART, NoahmpIO%XEND, & + NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%forcing_name_T, NoahmpIO%forcing_name_Q, & + NoahmpIO%forcing_name_U, NoahmpIO%forcing_name_V, & + NoahmpIO%forcing_name_P, NoahmpIO%forcing_name_LW, & + NoahmpIO%forcing_name_SW,NoahmpIO%forcing_name_PR, & + NoahmpIO%forcing_name_SN,NoahmpIO%T_PHY(:,1,:), & + NoahmpIO%QV_CURR(:,1,:),NoahmpIO%U_PHY(:,1,:), & + NoahmpIO%V_PHY(:,1,:),NoahmpIO%P8W(:,1,:), NoahmpIO%GLW,& + NoahmpIO%SWDOWN, NoahmpIO%RAINBL, NoahmpIO%SNOWBL, & + NoahmpIO%VEGFRA, NoahmpIO%update_veg, NoahmpIO%LAI, & + NoahmpIO%update_lai, NoahmpIO%reset_spinup_date, & + NoahmpIO%startdate) + + NoahmpIO%VEGFRA = NoahmpIO%VEGFRA * 100. else - if(olddate == forcDate) then - LAI_tmp = LAI - CALL HYDRO_frocing_drv(trim(indir), forc_typ,snow_assim,olddate, & - xstart, xend, ystart, yend, & - T_PHY(:,1,:),QV_CURR(:,1,:),U_PHY(:,1,:),V_PHY(:,1,:),P8W(:,1,:), & - GLW,SWDOWN,RAINBL_tmp,LAI,VEGFRA,SNOWH,ITIME,FORCING_TIMESTEP,prcp0) - - call geth_newdate(newdate, forcDate, FORCING_TIMESTEP) - forcDate = newdate + if(NoahmpIO%olddate == forcDate) then + CALL HYDRO_frocing_drv(trim(NoahmpIO%indir), NoahmpIO%forc_typ,NoahmpIO%snow_assim,NoahmpIO%olddate, & + NoahmpIO%xstart, NoahmpIO%xend, NoahmpIO%ystart, NoahmpIO%yend, & + NoahmpIO%T_PHY(:,1,:),NoahmpIO%QV_CURR(:,1,:),NoahmpIO%U_PHY(:,1,:), & + NoahmpIO%V_PHY(:,1,:),NoahmpIO%P8W(:,1,:), NoahmpIO%GLW, & + NoahmpIO%SWDOWN,NoahmpIO%RAINBL,NoahmpIO%LAI,NoahmpIO%VEGFRA, & + NoahmpIO%SNOWH,ITIME,NoahmpIO%FORCING_TIMESTEP,NoahmpIO%prcp0) + + call geth_newdate(NoahmpIO%newdate, forcDate, NoahmpIO%FORCING_TIMESTEP) + forcDate = NoahmpIO%newdate endif endif #else - CALL READFORC_HRLDAS(INFLNM_TEMPLATE, FORCING_TIMESTEP, OLDDATE, & - XSTART, XEND, YSTART, YEND, & - forcing_name_T,forcing_name_Q,forcing_name_U,forcing_name_V,forcing_name_P, & - forcing_name_LW,forcing_name_SW,forcing_name_PR,forcing_name_SN, & - T_PHY(:,1,:),QV_CURR(:,1,:),U_PHY(:,1,:),V_PHY(:,1,:), & - P8W(:,1,:), GLW, SWDOWN, RAINBL_tmp, SNOWBL, VEGFRA, update_veg, LAI, update_lai, reset_spinup_date, startdate) - if(maxval(VEGFRA) <= 1 ) then - VEGFRA = VEGFRA * 100. ! added for input vegfra as a fraction (0~1) + CALL READFORC_HRLDAS(NoahmpIO%INFLNM_TEMPLATE, NoahmpIO%FORCING_TIMESTEP, & + NoahmpIO%OLDDATE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + NoahmpIO%forcing_name_T,NoahmpIO%forcing_name_Q,NoahmpIO%forcing_name_U, & + NoahmpIO%forcing_name_V,NoahmpIO%forcing_name_P,NoahmpIO%forcing_name_LW, & + NoahmpIO%forcing_name_SW,NoahmpIO%forcing_name_PR,NoahmpIO%forcing_name_SN, & + NoahmpIO%T_PHY(:,1,:),NoahmpIO%QV_CURR(:,1,:),NoahmpIO%U_PHY(:,1,:), & + NoahmpIO%V_PHY(:,1,:),NoahmpIO%P8W(:,1,:), NoahmpIO%GLW, NoahmpIO%SWDOWN, & + NoahmpIO%RAINBL, NoahmpIO%SNOWBL, NoahmpIO%VEGFRA, NoahmpIO%update_veg, & + NoahmpIO%LAI, NoahmpIO%update_lai, NoahmpIO%reset_spinup_date, NoahmpIO%startdate) + + if(maxval(NoahmpIO%VEGFRA) <= 1 ) then + NoahmpIO%VEGFRA = NoahmpIO%VEGFRA * 100. ! added for input vegfra as a fraction (0~1) endif #endif 991 continue - where(XLAND > 1.5) T_PHY(:,1,:) = 0.0 ! Prevent some overflow problems with ifort compiler [MB:20150812] - where(XLAND > 1.5) U_PHY(:,1,:) = 0.0 - where(XLAND > 1.5) V_PHY(:,1,:) = 0.0 - where(XLAND > 1.5) QV_CURR(:,1,:) = 0.0 - where(XLAND > 1.5) P8W(:,1,:) = 0.0 - where(XLAND > 1.5) GLW = 0.0 - where(XLAND > 1.5) SWDOWN = 0.0 - where(XLAND > 1.5) RAINBL_tmp = 0.0 - where(XLAND > 1.5) SNOWBL = 0.0 - - QV_CURR(:,1,:) = QV_CURR(:,1,:)/(1.0 - QV_CURR(:,1,:)) ! Assuming input forcing are specific hum.; - ! WRF wants mixing ratio at driver level - P8W(:,2,:) = P8W(:,1,:) ! WRF uses lowest two layers - T_PHY(:,2,:) = T_PHY(:,1,:) ! Only pressure is needed in two layer but fill the rest - U_PHY(:,2,:) = U_PHY(:,1,:) ! - V_PHY(:,2,:) = V_PHY(:,1,:) ! - QV_CURR(:,2,:) = QV_CURR(:,1,:) ! - RAINBL = RAINBL_tmp * DTBL ! RAINBL in WRF is [mm] - SNOWBL = SNOWBL * DTBL ! - SR = 0.0 ! Will only use component if opt_snf=4 - RAINCV = 0.0 - RAINNCV = RAINBL - RAINSHV = 0.0 - SNOWNCV = SNOWBL - GRAUPELNCV = 0.0 - HAILNCV = 0.0 - DZ8W = 2*ZLVL ! 2* to be consistent with WRF model level - - SWDDIR = SWDOWN * 0.7 ! following noahmplsm ATM 70% direct radiation - SWDDIF = SWDOWN * 0.3 ! following noahmplsm ATM 30% diffuse radiation - - IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models - where(XLAND < 1.5) p_urban(:,kde,:) = p8w(:,1,:) - where(XLAND < 1.5) rho_urban(:,kde,:) = p8w(:,1,:)/287.04/t_phy(:,1,:) - where(XLAND < 1.5) theta_urban(:,kde,:) = t_phy(:,1,:)*(100000.0/p8w(:,1,:))**(0.285714) - where(XLAND < 1.5) u_urban(:,kde,:) = u_phy(:,1,:) - where(XLAND < 1.5) v_urban(:,kde,:) = v_phy(:,1,:) - height_urban = 0.5*(dz_urban(1,kde,1) + dz_urban(1,kde-1,1)) - -! IF(ITIME == 0) THEN ! BEP or BEM urban models - DO I = KDE-1, KDS, -1 - where(XLAND < 1.5) p_urban(:,i,:) = p8w(:,1,:)*exp(9.8*height_urban/287.04/t_phy(:,1,:)) - where(XLAND < 1.5) rho_urban(:,i,:) = p_urban(:,i,:)/287.04/t_phy(:,1,:) - where(XLAND < 1.5) theta_urban(:,i,:) = t_phy(:,1,:)*(100000.0/p_urban(:,i,:))**(0.285714) - where(XLAND < 1.5) u_urban(:,i,:) = u_urban(:,kde,:)*log(zlvl-height_urban)/log(zlvl) - where(XLAND < 1.5) v_urban(:,i,:) = v_urban(:,kde,:)*log(zlvl-height_urban)/log(zlvl) - height_urban = height_urban + urban_atmosphere_thickness + where(NoahmpIO%XLAND > 1.5) NoahmpIO%T_PHY(:,1,:) = 0.0 ! Prevent some overflow problems with ifort compiler [MB:20150812] + where(NoahmpIO%XLAND > 1.5) NoahmpIO%U_PHY(:,1,:) = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%V_PHY(:,1,:) = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%QV_CURR(:,1,:) = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%P8W(:,1,:) = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%GLW = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%SWDOWN = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%RAINBL = 0.0 + where(NoahmpIO%XLAND > 1.5) NoahmpIO%SNOWBL = 0.0 + + NoahmpIO%QV_CURR(:,1,:) = NoahmpIO%QV_CURR(:,1,:)/& + (1.0 - NoahmpIO%QV_CURR(:,1,:)) ! Assuming input forcing are specific hum.; + ! WRF wants mixing ratio at driver level + NoahmpIO%P8W(:,2,:) = NoahmpIO%P8W(:,1,:) ! WRF uses lowest two layers + NoahmpIO%T_PHY(:,2,:) = NoahmpIO%T_PHY(:,1,:) ! Only pressure is needed in two layer but fill the rest + NoahmpIO%U_PHY(:,2,:) = NoahmpIO%U_PHY(:,1,:) ! + NoahmpIO%V_PHY(:,2,:) = NoahmpIO%V_PHY(:,1,:) ! + NoahmpIO%QV_CURR(:,2,:) = NoahmpIO%QV_CURR(:,1,:) ! + NoahmpIO%RAINBL = NoahmpIO%RAINBL * NoahmpIO%DTBL ! RAINBL in WRF is [mm] + NoahmpIO%SNOWBL = NoahmpIO%SNOWBL * NoahmpIO%DTBL ! + NoahmpIO%SR = 0.0 ! Will only use component if opt_snf=4 + NoahmpIO%RAINCV = 0.0 + NoahmpIO%RAINNCV = NoahmpIO%RAINBL + NoahmpIO%RAINSHV = 0.0 + NoahmpIO%SNOWNCV = NoahmpIO%SNOWBL + NoahmpIO%GRAUPELNCV = 0.0 + NoahmpIO%HAILNCV = 0.0 + NoahmpIO%DZ8W = 2*NoahmpIO%ZLVL ! 2* to be consistent with WRF model level + + NoahmpIO%SWDDIR = NoahmpIO%SWDOWN * 0.7 ! following noahmplsm ATM 70% direct radiation + NoahmpIO%SWDDIF = NoahmpIO%SWDOWN * 0.3 ! following noahmplsm ATM 30% diffuse radiation + + IF(NoahmpIO%SF_URBAN_PHYSICS == 2 .or. NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models + where(NoahmpIO%XLAND < 1.5) NoahmpIO%p_urban(:,NoahmpIO%kde,:) = NoahmpIO%p8w(:,1,:) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%rho_urban(:,NoahmpIO%kde,:) = NoahmpIO%p8w(:,1,:) /287.04/NoahmpIO%t_phy(:,1,:) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%theta_urban(:,NoahmpIO%kde,:) = NoahmpIO%t_phy(:,1,:)*& + (100000.0/NoahmpIO%p8w(:,1,:))**(0.285714) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%u_urban(:,NoahmpIO%kde,:) = NoahmpIO%u_phy(:,1,:) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%v_urban(:,NoahmpIO%kde,:) = NoahmpIO%v_phy(:,1,:) + + NoahmpIO%height_urban = 0.5*(NoahmpIO%dz_urban(1,NoahmpIO%kde,1) + & + NoahmpIO%dz_urban(1,NoahmpIO%kde-1,1)) + + DO I = NoahmpIO%KDE-1, NoahmpIO%KDS, -1 + where(NoahmpIO%XLAND < 1.5) NoahmpIO%p_urban(:,i,:) = NoahmpIO%p8w(:,1,:)* & + exp(9.8*NoahmpIO%height_urban/287.04/NoahmpIO%t_phy(:,1,:)) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%rho_urban(:,i,:) = NoahmpIO%p_urban(:,i,:)/287.04/ & + NoahmpIO%t_phy(:,1,:) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%theta_urban(:,i,:) = NoahmpIO%t_phy(:,1,:)* & + (100000.0/NoahmpIO%p_urban(:,i,:))**(0.285714) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%u_urban(:,i,:) = NoahmpIO%u_urban(:,NoahmpIO%kde,:)* & + log(NoahmpIO%zlvl-NoahmpIO%height_urban)/log(NoahmpIO%zlvl) + where(NoahmpIO%XLAND < 1.5) NoahmpIO%v_urban(:,i,:) = NoahmpIO%v_urban(:,NoahmpIO%kde,:)* & + log(NoahmpIO%zlvl-NoahmpIO%height_urban)/log(NoahmpIO%zlvl) + NoahmpIO%height_urban = NoahmpIO%height_urban + NoahmpIO%urban_atmosphere_thickness END DO -! ENDIF ENDIF - + !------------------------------------------------------------------------ ! Noah-MP updates we can do before spatial loop. !------------------------------------------------------------------------ ! create a few fields that are IN in WRF - coszen, julian,yr - DO J = YSTART,YEND - DO I = XSTART,XEND - IF(SF_URBAN_PHYSICS == 0) THEN - CALL CALC_DECLIN(OLDDATE(1:19),XLAT(I,J), XLONG(I,J),COSZEN(I,J),JULIAN) + DO J = NoahmpIO%YSTART,NoahmpIO%YEND + DO I = NoahmpIO%XSTART,NoahmpIO%XEND + IF(NoahmpIO%SF_URBAN_PHYSICS == 0) THEN + CALL CALC_DECLIN(NoahmpIO%OLDDATE(1:19),NoahmpIO%XLAT(I,J), NoahmpIO%XLONG(I,J), & + NoahmpIO%COSZEN(I,J),NoahmpIO%JULIAN) ELSE - CALL CALC_DECLIN(OLDDATE(1:19),XLAT(I,J), XLONG(I,J),COSZEN(I,J),JULIAN, & - HRANG(I,J), DECLIN, GMT, JULDAY) + CALL CALC_DECLIN(NoahmpIO%OLDDATE(1:19),NoahmpIO%XLAT(I,J), NoahmpIO%XLONG(I,J), & + NoahmpIO%COSZEN(I,J),NoahmpIO%JULIAN,NoahmpIO%HRANG(I,J), & + NoahmpIO%DECLIN, NoahmpIO%GMT, NoahmpIO%JULDAY) ENDIF - IF(IOPT_IRR > 0 ) THEN - CALL LOCAL_TIME(OLDDATE(1:19), XLONG(I,J), LOCTIM(I,J)) + IF(NoahmpIO%IOPT_IRR > 0 ) THEN + CALL LOCAL_TIME(NoahmpIO%OLDDATE(1:19), NoahmpIO%XLONG(I,J), NoahmpIO%LOCTIM(I,J)) ENDIF END DO END DO - READ(OLDDATE(1:4),*) YR - YEARLEN = 365 ! find length of year for phenology (also S Hemisphere) - if (mod(YR,4) == 0) then - YEARLEN = 366 - if (mod(YR,100) == 0) then - YEARLEN = 365 - if (mod(YR,400) == 0) then - YEARLEN = 366 + READ(NoahmpIO%OLDDATE(1:4),*) NoahmpIO%YR + NoahmpIO%YEARLEN = 365 ! find length of year for phenology (also S Hemisphere) + if (mod(NoahmpIO%YR,4) == 0) then + NoahmpIO%YEARLEN = 366 + if (mod(NoahmpIO%YR,100) == 0) then + NoahmpIO%YEARLEN = 365 + if (mod(NoahmpIO%YR,400) == 0) then + NoahmpIO%YEARLEN = 366 endif endif endif - IF (ITIME == 1 .AND. .NOT. RESTART_FLAG ) THEN - EAHXY = (P8W(:,1,:)*QV_CURR(:,1,:))/(0.622+QV_CURR(:,1,:)) ! Initial guess only. - TAHXY = T_PHY(:,1,:) ! Initial guess only. - CHXY = 0.1 - CMXY = 0.1 + IF (ITIME == 1 .AND. .NOT. NoahmpIO%RESTART_FLAG ) THEN + NoahmpIO%EAHXY = (NoahmpIO%P8W(:,1,:)*NoahmpIO%QV_CURR(:,1,:))/(0.622+NoahmpIO%QV_CURR(:,1,:)) ! Initial guess only. + NoahmpIO%TAHXY = NoahmpIO%T_PHY(:,1,:) ! Initial guess only. + NoahmpIO%CHXY = 0.1 + NoahmpIO%CMXY = 0.1 ENDIF !------------------------------------------------------------------------ ! Skip model call at t=1 since initial conditions are at start time; First model time is +1 !------------------------------------------------------------------------ - IF (ITIME > 0) THEN + IF (ITIME > 0) THEN + NoahmpIO%MP_RAINC = NoahmpIO%RAINCV + NoahmpIO%MP_RAINNC = NoahmpIO%RAINNCV + NoahmpIO%MP_SHCV = NoahmpIO%RAINSHV + NoahmpIO%MP_SNOW = NoahmpIO%SNOWNCV + NoahmpIO%MP_GRAUP = NoahmpIO%GRAUPELNCV + NoahmpIO%MP_HAIL = NoahmpIO%HAILNCV + !------------------------------------------------------------------------ ! Call to Noah-MP driver same as surface_driver !------------------------------------------------------------------------ - sflx_count_sum = 0 ! Timing - ITIMESTEP = ITIME ! update time count - - ! Timing information for SFLX: - call system_clock(count=count_before_sflx, count_rate=clock_rate) - - CALL noahmplsm(ITIMESTEP, YR, JULIAN, COSZEN, XLAT,XLONG, & - DZ8W, DTBL, DZS, NUM_SOIL_LAYERS, DX, & - IVGTYP, ISLTYP, VEGFRA, GVFMAX, TMN, & - XLAND, XICE, XICE_THRESHOLD, CROPCAT, & - PLANTING, HARVEST,SEASON_GDD, & - IDVEG, IOPT_CRS, IOPT_BTR, IOPT_RUN, IOPT_SFC, IOPT_FRZ, & - IOPT_INF, IOPT_RAD, IOPT_ALB, IOPT_SNF, IOPT_TBOT, IOPT_STC, & - IOPT_GLA, IOPT_RSF,IOPT_SOIL,IOPT_PEDO,IOPT_CROP, IOPT_IRR, & - IOPT_IRRM,IOPT_INFDV,IOPT_TDRN,soiltstep,IZ0TLND, sf_urban_physics, & - SOILCOMP, SOILCL1, SOILCL2, SOILCL3, SOILCL4, & - T_PHY, QV_CURR, U_PHY, V_PHY, SWDOWN, SWDDIR, & - SWDDIF, GLW, & - P8W, RAINBL, SR, & - IRFRACT, SIFRACT, MIFRACT, FIFRACT, & ! IN : Irrigation fractions - TSK, HFX, QFX, LH, GRDFLX, SMSTAV, & - SMSTOT,SFCRUNOFF, UDRUNOFF, ALBEDO, SNOWC, SMOIS, & - SH2O, TSLB, SNOW, SNOWH, CANWAT, ACSNOM, & - ACSNOW, EMISS, QSFC, & - Z0, ZNT, & ! IN/OUT LSM eqv - IRNUMSI, IRNUMMI, IRNUMFI, IRWATSI, IRWATMI, IRWATFI, & ! IN/OUT Irrigation - IRELOSS, IRSIVOL, IRMIVOL, IRFIVOL, IRRSPLH, LLANDUSE, & ! IN/OUT Irrigation - ISNOWXY, TVXY, TGXY, CANICEXY, CANLIQXY, EAHXY, & - TAHXY, CMXY, CHXY, FWETXY, SNEQVOXY, ALBOLDXY, & - QSNOWXY, QRAINXY, WSLAKEXY, ZWTXY, WAXY,WTXY, TSNOXY, & - ZSNSOXY, SNICEXY, SNLIQXY, LFMASSXY, RTMASSXY, STMASSXY, & - WOODXY, STBLCPXY, FASTCPXY, LAI, XSAIXY, TAUSSXY, & - SMOISEQ, SMCWTDXY,DEEPRECHXY, RECHXY, GRAINXY, GDDXY,PGSXY, & ! IN/OUT Noah MP only - GECROS_STATE, & ! IN/OUT gecros model - QTDRAIN, TD_FRACTION, & ! IN/OUT tile drainage - T2MVXY, T2MBXY, Q2MVXY, Q2MBXY, & - TRADXY, NEEXY, GPPXY, NPPXY, FVEGXY, RUNSFXY, & - RUNSBXY, ECANXY, EDIRXY, ETRANXY, FSAXY, FIRAXY, & - APARXY, PSNXY, SAVXY, SAGXY, RSSUNXY, RSSHAXY, & - BGAPXY, WGAPXY, TGVXY, TGBXY, CHVXY, CHBXY, & - SHGXY, SHCXY, SHBXY, EVGXY, EVBXY, GHVXY, & - GHBXY, IRGXY, IRCXY, IRBXY, TRXY, EVCXY, & - CHLEAFXY, CHUCXY, CHV2XY, CHB2XY, RS, & - QINTSXY ,QINTRXY ,QDRIPSXY ,& - QDRIPRXY ,QTHROSXY ,QTHRORXY ,& - QSNSUBXY ,QSNFROXY ,QSUBCXY ,& - QFROCXY ,QEVACXY ,QDEWCXY ,QFRZCXY ,QMELTCXY ,& - QSNBOTXY ,QMELTXY ,PONDINGXY ,PAHXY ,PAHGXY, PAHVXY, PAHBXY,& - FPICEXY,RAINLSM,SNOWLSM,FORCTLSM ,FORCQLSM,FORCPLSM,FORCZLSM,FORCWLSM,& - ACC_SSOILXY, ACC_QINSURXY, ACC_QSEVAXY, ACC_ETRANIXY, EFLXBXY, & - SOILENERGY, SNOWENERGY, CANHSXY, & - ACC_DWATERXY, ACC_PRCPXY, ACC_ECANXY, ACC_ETRANXY, ACC_EDIRXY, & -! BEXP_3D,SMCDRY_3D,SMCWLT_3D,SMCREF_3D,SMCMAX_3D, & -! DKSAT_3D,DWSAT_3D,PSISAT_3D,QUARTZ_3D, & -! REFDK_2D,REFKDT_2D, & -! IRR_FRAC_2D,IRR_HAR_2D,IRR_LAI_2D,IRR_MAD_2D,FILOSS_2D, & -! SPRIR_RATE_2D,MICIR_RATE_2D,FIRTFAC_2D,IR_RAIN_2D, & -! BVIC_2D,AXAJ_2D,BXAJ_2D,XXAJ_2D,BDVIC_2D,GDVIC_2D,BBVIC_2D, & -#ifdef WRF_HYDRO - sfcheadrt,INFXSRT,soldrain,qtiledrain,ZWATBLE2D, & !O -#endif - ids,ide, jds,jde, kds,kde, & - ims,ime, jms,jme, kms,kme, & - its,ite, jts,jte, kts,kte, & -! variables below are optional - MP_RAINC = RAINCV, MP_RAINNC = RAINNCV, MP_SHCV = RAINSHV,& - MP_SNOW = SNOWNCV, MP_GRAUP = GRAUPELNCV, MP_HAIL = HAILNCV ) - - call system_clock(count=count_after_sflx, count_rate=clock_rate) - sflx_count_sum = sflx_count_sum + ( count_after_sflx - count_before_sflx ) - - IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models - dz8w = dz_urban - u_phy = u_urban - v_phy = v_urban + NoahmpIO%sflx_count_sum = 0 ! Timing + NoahmpIO%ITIMESTEP = ITIME ! update time step counter + + ! Timing information for SFLX: + + call system_clock(count=NoahmpIO%count_before_sflx, count_rate=NoahmpIO%clock_rate) + + call NoahmpDriverMain(NoahmpIO) + + call system_clock(count=NoahmpIO%count_after_sflx, count_rate=NoahmpIO%clock_rate) + NoahmpIO%sflx_count_sum = NoahmpIO%sflx_count_sum + ( NoahmpIO%count_after_sflx - NoahmpIO%count_before_sflx ) + + IF(NoahmpIO%SF_URBAN_PHYSICS == 2 .or. NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models + NoahmpIO%dz8w = NoahmpIO%dz_urban + NoahmpIO%u_phy = NoahmpIO%u_urban + NoahmpIO%v_phy = NoahmpIO%v_urban ENDIF - IF(SF_URBAN_PHYSICS > 0 ) THEN !urban + IF(NoahmpIO%SF_URBAN_PHYSICS > 0 ) THEN !urban - call noahmp_urban (sf_urban_physics, NUM_SOIL_LAYERS, IVGTYP,ITIMESTEP, & ! IN : Model configuration - DTBL, COSZEN, XLAT, & ! IN : Time/Space-related - T_PHY, QV_CURR, U_PHY, V_PHY, SWDOWN, & ! IN : Forcing - SWDDIR, SWDDIF, & - GLW, P8W, RAINBL, DZ8W, ZNT, & ! IN : Forcing - TSK, HFX, QFX, LH, GRDFLX, & ! IN/OUT : LSM - ALBEDO, EMISS, QSFC, & ! IN/OUT : LSM - ids,ide, jds,jde, kds,kde, & - ims,ime, jms,jme, kms,kme, & - its,ite, jts,jte, kts,kte, & - cmr_sfcdif, chr_sfcdif, cmc_sfcdif, & - chc_sfcdif, cmgr_sfcdif, chgr_sfcdif, & - tr_urb2d, tb_urb2d, tg_urb2d, & !H urban - tc_urb2d, qc_urb2d, uc_urb2d, & !H urban - xxxr_urb2d, xxxb_urb2d, xxxg_urb2d, xxxc_urb2d, & !H urban - trl_urb3d, tbl_urb3d, tgl_urb3d, & !H urban - sh_urb2d, lh_urb2d, g_urb2d, rn_urb2d, ts_urb2d, & !H urban - psim_urb2d, psih_urb2d, u10_urb2d, v10_urb2d, & !O urban - GZ1OZ0_urb2d, AKMS_URB2D, & !O urban - th2_urb2d, q2_urb2d, ust_urb2d, & !O urban - declin, hrang, & !I urban - num_roof_layers,num_wall_layers,num_road_layers, & !I urban - dzr, dzb, dzg, & !I urban - cmcr_urb2d, tgr_urb2d, tgrl_urb3d, smr_urb3d, & !H urban - drelr_urb2d, drelb_urb2d, drelg_urb2d, & !H urban - flxhumr_urb2d, flxhumb_urb2d, flxhumg_urb2d, & !H urban - julday, yr, & !H urban - frc_urb2d, utype_urb2d, & !I urban - chs, chs2, cqs2, & !H - num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & !I multi-layer urban - urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & !I multi-layer urban - urban_map_gbd, urban_map_fbd, urban_map_zgrd, & !I multi-layer urban - num_urban_hi, & !I multi-layer urban - trb_urb4d, tw1_urb4d, tw2_urb4d, tgb_urb4d, & !H multi-layer urban - tlev_urb3d, qlev_urb3d, & !H multi-layer urban - tw1lev_urb3d, tw2lev_urb3d, & !H multi-layer urban - tglev_urb3d, tflev_urb3d, & !H multi-layer urban - sf_ac_urb3d, lf_ac_urb3d, cm_ac_urb3d, & !H multi-layer urban - sfvent_urb3d, lfvent_urb3d, & !H multi-layer urban - sfwin1_urb3d, sfwin2_urb3d, & !H multi-layer urban - sfw1_urb3d, sfw2_urb3d, sfr_urb3d, sfg_urb3d, & !H multi-layer urban - ep_pv_urb3d, t_pv_urb3d, & !RMS - trv_urb4d, qr_urb4d, qgr_urb3d, tgr_urb3d, & !RMS - drain_urb4d, draingr_urb3d, sfrv_urb3d, lfrv_urb3d, & !RMS - dgr_urb3d, dg_urb3d, lfr_urb3d, lfg_urb3d, & !RMS - lp_urb2d, hi_urb2d, lb_urb2d, hgt_urb2d, & !H multi-layer urban - mh_urb2d, stdh_urb2d, lf_urb2d, & !SLUCM - theta_urban, rho_urban, p_urban, ust, & !I multi-layer urban - gmt, julday, XLONG, XLAT, & !I multi-layer urban - a_u_bep, a_v_bep, a_t_bep, a_q_bep, & !O multi-layer urban - a_e_bep, b_u_bep, b_v_bep, & !O multi-layer urban - b_t_bep, b_q_bep, b_e_bep, dlg_bep, & !O multi-layer urban - dl_u_bep, sf_bep, vl_bep) !O multi-layer urban - - ENDIF - - IF (RUNOFF_OPTION == 5) THEN - IF (MOD(ITIME,STEPWTD) ==0) THEN - CALL wrf_message('calling WTABLE' ) - -!gmm update wtable from lateral flow and shed water to rivers - CALL WTABLE_MMF_NOAHMP( & - NUM_SOIL_LAYERS, XLAND, XICE, XICE_THRESHOLD, ISICE, & - ISLTYP, SMOISEQ, DZS, WTDDT, & - FDEPTHXY, AREAXY, TERRAIN, ISURBAN, IVGTYP, & - RIVERCONDXY, RIVERBEDXY, EQZWT, PEXPXY, & - SMOIS, SH2O, SMCWTDXY, ZWTXY, & - QLATXY, QRFXY, DEEPRECHXY, QSPRINGXY, & - QSLATXY, QRFSXY, QSPRINGSXY, RECHXY, & - IDS,IDE, JDS,JDE, KDS,KDE, & - IMS,IME, JMS,JME, KMS,KME, & - ITS,ITE, JTS,JTE, KTS,KTE ) - -! IF(SF_URBAN_PHYSICS.eq.1) THEN -! DO j=jts,jte !urban -! DO i=its,ite !urban -! IF( IVGTYP(I,J) == ISURBAN .or. IVGTYP(I,J) == LCZ_1 .or. IVGTYP(I,J) == LCZ_2 .or. & -! IVGTYP(I,J) == LCZ_3 .or. IVGTYP(I,J) == LCZ_4 .or. IVGTYP(I,J) == LCZ_5 .or. & -! IVGTYP(I,J) == LCZ_6 .or. IVGTYP(I,J) == LCZ_7 .or. IVGTYP(I,J) == LCZ_8 .or. & -! IVGTYP(I,J) == LCZ_9 .or. IVGTYP(I,J) == LCZ_10 .or. IVGTYP(I,J) == LCZ_11 )THEN -! Q2(I,J) = (FVEGXY(I,J)*Q2MVXY(I,J) + (1.-FVEGXY(I,J))*Q2MBXY(I,J))*(1.-FRC_URB2D(I,J)) + & -! Q2_URB2D(I,J)*FRC_URB2D(I,J) -! T2(I,J) = (FVEGXY(I,J)*T2MVXY(I,J) + (1.-FVEGXY(I,J))*T2MBXY(I,J))*(1.-FRC_URB2D(I,J)) + & -! (TH2_URB2D(i,j)/((1.E5/PSFC(i,j))**RCP))*FRC_URB2D(I,J) -! TH2(I,J) = T2(i,j)*(1.E5/PSFC(i,j))**RCP -! U10(I,J) = U10_URB2D(I,J) !urban -! V10(I,J) = V10_URB2D(I,J) !urban -! PSIM(I,J) = PSIM_URB2D(I,J) !urban -! PSIH(I,J) = PSIH_URB2D(I,J) !urban -! GZ1OZ0(I,J) = GZ1OZ0_URB2D(I,J) !urban -! AKHS(I,J) = CHS(I,J) !urban -! AKMS(I,J) = AKMS_URB2D(I,J) !urban -! END IF !urban -! ENDDO !urban -! ENDDO !urban -! ENDIF - -! IF((SF_URBAN_PHYSICS.eq.2).OR.(SF_URBAN_PHYSICS.eq.3)) THEN -! DO j=j_start(ij),j_end(ij) !urban -! DO i=i_start(ij),i_end(ij) !urban -! IF( IVGTYP(I,J) == ISURBAN .or. IVGTYP(I,J) == LCZ_1 .or. IVGTYP(I,J) == LCZ_2 .or. & -! IVGTYP(I,J) == LCZ_3 .or. IVGTYP(I,J) == LCZ_4 .or. IVGTYP(I,J) == LCZ_5 .or. & -! IVGTYP(I,J) == LCZ_6 .or. IVGTYP(I,J) == LCZ_7 .or. IVGTYP(I,J) == LCZ_8 .or. & -! IVGTYP(I,J) == LCZ_9 .or. IVGTYP(I,J) == LCZ_10 .or. IVGTYP(I,J) == LCZ_11 )THEN -! T2(I,J) = TH_PHY(i,1,j)/((1.E5/PSFC(I,J))**RCP) !urban -! TH2(I,J) = TH_PHY(i,1,j) !urban -! Q2(I,J) = qv_curr(i,1,j) !urban -! U10(I,J) = U_phy(I,1,J) !urban -! V10(I,J) = V_phy(I,1,J) !urban -! END IF !urban -! ENDDO !urban -! ENDDO !urban -! ENDIF - ENDIF - ENDIF + call noahmp_urban(NoahmpIO, NoahmpIO%sf_urban_physics, NoahmpIO%NSOIL, NoahmpIO%IVGTYP, & ! IN : Model configuration + NoahmpIO%ITIMESTEP, NoahmpIO%DTBL, NoahmpIO%COSZEN, NoahmpIO%XLAT, & ! IN : Time/Space-related + NoahmpIO%T_PHY, NoahmpIO%QV_CURR, NoahmpIO%U_PHY, NoahmpIO%V_PHY, NoahmpIO%SWDOWN, & ! IN : Forcing + NoahmpIO%SWDDIR, NoahmpIO%SWDDIF, & + NoahmpIO%GLW, NoahmpIO%P8W, NoahmpIO%RAINBL, NoahmpIO%DZ8W, NoahmpIO%ZNT, & ! IN : Forcing + NoahmpIO%TSK, NoahmpIO%HFX, NoahmpIO%QFX, NoahmpIO%LH, NoahmpIO%GRDFLX, & ! IN/OUT : LSM + NoahmpIO%ALBEDO, NoahmpIO%EMISS, NoahmpIO%QSFC, & ! IN/OUT : LSM + NoahmpIO%ids, NoahmpIO%ide, NoahmpIO%jds, NoahmpIO%jde, NoahmpIO%kds, NoahmpIO%kde, & + NoahmpIO%ims, NoahmpIO%ime, NoahmpIO%jms, NoahmpIO%jme, NoahmpIO%kms, NoahmpIO%kme, & + NoahmpIO%its, NoahmpIO%ite, NoahmpIO%jts, NoahmpIO%jte, NoahmpIO%kts, NoahmpIO%kte, & + NoahmpIO%cmr_sfcdif, NoahmpIO%chr_sfcdif, NoahmpIO%cmc_sfcdif, & + NoahmpIO%chc_sfcdif, NoahmpIO%cmgr_sfcdif, NoahmpIO%chgr_sfcdif, & + NoahmpIO%tr_urb2d, NoahmpIO%tb_urb2d, NoahmpIO%tg_urb2d, & !H urban + NoahmpIO%tc_urb2d, NoahmpIO%qc_urb2d, NoahmpIO%uc_urb2d, & !H urban + NoahmpIO%xxxr_urb2d, NoahmpIO%xxxb_urb2d, NoahmpIO%xxxg_urb2d, & !H urban + NoahmpIO%xxxc_urb2d, NoahmpIO%trl_urb3d, NoahmpIO%tbl_urb3d, NoahmpIO%tgl_urb3d, & !H urban + NoahmpIO%sh_urb2d, NoahmpIO%lh_urb2d, NoahmpIO%g_urb2d, NoahmpIO%rn_urb2d, & !H urban + NoahmpIO%ts_urb2d, NoahmpIO%psim_urb2d, & + NoahmpIO%psih_urb2d, NoahmpIO%u10_urb2d, NoahmpIO%v10_urb2d, & !O urban + NoahmpIO%GZ1OZ0_urb2d, NoahmpIO%AKMS_URB2D, & !O urban + NoahmpIO%th2_urb2d, NoahmpIO%q2_urb2d, NoahmpIO%ust_urb2d, & !O urban + NoahmpIO%declin, NoahmpIO%hrang, & !I urban + NoahmpIO%num_roof_layers, NoahmpIO%num_wall_layers, NoahmpIO%num_road_layers, & !I urban + NoahmpIO%dzr, NoahmpIO%dzb, NoahmpIO%dzg, & !I urban + NoahmpIO%cmcr_urb2d, NoahmpIO%tgr_urb2d, NoahmpIO%tgrl_urb3d, NoahmpIO%smr_urb3d, & !H urban + NoahmpIO%drelr_urb2d, NoahmpIO%drelb_urb2d, NoahmpIO%drelg_urb2d, & !H urban + NoahmpIO%flxhumr_urb2d, NoahmpIO%flxhumb_urb2d, NoahmpIO%flxhumg_urb2d, & !H urban + NoahmpIO%julday, NoahmpIO%yr, & !H urban + NoahmpIO%frc_urb2d, NoahmpIO%utype_urb2d, & !I urban + NoahmpIO%chs, NoahmpIO%chs2, NoahmpIO%cqs2, & !H + NoahmpIO%num_urban_ndm, NoahmpIO%urban_map_zrd, NoahmpIO%urban_map_zwd, & !I multi-layer urban + NoahmpIO%urban_map_gd, & !I multi-layer urban + NoahmpIO%urban_map_zd, NoahmpIO%urban_map_zdf, NoahmpIO%urban_map_bd, & !I multi-layer urban + NoahmpIO%urban_map_wd, NoahmpIO%urban_map_gbd, NoahmpIO%urban_map_fbd, & !I multi-layer urban + NoahmpIO%urban_map_zgrd, NoahmpIO%num_urban_hi, & !I multi-layer urban + NoahmpIO%trb_urb4d, NoahmpIO%tw1_urb4d, NoahmpIO%tw2_urb4d, NoahmpIO%tgb_urb4d, & !H multi-layer urban + NoahmpIO%tlev_urb3d, NoahmpIO%qlev_urb3d, & !H multi-layer urban + NoahmpIO%tw1lev_urb3d, NoahmpIO%tw2lev_urb3d, & !H multi-layer urban + NoahmpIO%tglev_urb3d, NoahmpIO%tflev_urb3d, & !H multi-layer urban + NoahmpIO%sf_ac_urb3d, NoahmpIO%lf_ac_urb3d, NoahmpIO%cm_ac_urb3d, & !H multi-layer urban + NoahmpIO%sfvent_urb3d, NoahmpIO%lfvent_urb3d, & !H multi-layer urban + NoahmpIO%sfwin1_urb3d, NoahmpIO%sfwin2_urb3d, & !H multi-layer urban + NoahmpIO%sfw1_urb3d, NoahmpIO%sfw2_urb3d, NoahmpIO%sfr_urb3d, NoahmpIO%sfg_urb3d, & !H multi-layer urban + NoahmpIO%ep_pv_urb3d, NoahmpIO%t_pv_urb3d, & !RMS + NoahmpIO%trv_urb4d, NoahmpIO%qr_urb4d, NoahmpIO%qgr_urb3d, NoahmpIO%tgr_urb3d, & !RMS + NoahmpIO%drain_urb4d, NoahmpIO%draingr_urb3d, NoahmpIO%sfrv_urb3d, & !RMS + NoahmpIO%lfrv_urb3d, & !RMS + NoahmpIO%dgr_urb3d, NoahmpIO%dg_urb3d, NoahmpIO%lfr_urb3d, NoahmpIO%lfg_urb3d, & !RMS + NoahmpIO%lp_urb2d, NoahmpIO%hi_urb2d, NoahmpIO%lb_urb2d, NoahmpIO%hgt_urb2d, & !H multi-layer urban + NoahmpIO%mh_urb2d, NoahmpIO%stdh_urb2d, NoahmpIO%lf_urb2d, & !SLUCM + NoahmpIO%theta_urban, NoahmpIO%rho_urban, NoahmpIO%p_urban, NoahmpIO%ust, & !I multi-layer urban + NoahmpIO%gmt, NoahmpIO%julday, NoahmpIO%XLONG, NoahmpIO%XLAT, & !I multi-layer urban + NoahmpIO%a_u_bep, NoahmpIO%a_v_bep, NoahmpIO%a_t_bep, NoahmpIO%a_q_bep, & !O multi-layer urban + NoahmpIO%a_e_bep, NoahmpIO%b_u_bep, NoahmpIO%b_v_bep, & !O multi-layer urban + NoahmpIO%b_t_bep, NoahmpIO%b_q_bep, NoahmpIO%b_e_bep, NoahmpIO%dlg_bep, & !O multi-layer urban + NoahmpIO%dl_u_bep, NoahmpIO%sf_bep, NoahmpIO%vl_bep) !O multi-layer urban + + ENDIF + + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + if ( mod(ITIME,NoahmpIO%STEPWTD) == 0 ) then + CALL wrf_message('calling WTABLE' ) + + !gmm update wtable from lateral flow and shed water to rivers + CALL WTABLE_MMF_NOAHMP(NoahmpIO, & + NoahmpIO%NSOIL, NoahmpIO%XLAND, NoahmpIO%XICE, & + NoahmpIO%XICE_THRESHOLD, NoahmpIO%ISICE, & + NoahmpIO%ISLTYP, NoahmpIO%SMOISEQ, NoahmpIO%DZS, & + NoahmpIO%WTDDT, NoahmpIO%FDEPTHXY, NoahmpIO%AREAXY, & + NoahmpIO%TERRAIN, NoahmpIO%ISURBAN, NoahmpIO%IVGTYP, & + NoahmpIO%RIVERCONDXY, NoahmpIO%RIVERBEDXY, NoahmpIO%EQZWT,& + NoahmpIO%PEXPXY, NoahmpIO%SMOIS, NoahmpIO%SH2O, & + NoahmpIO%SMCWTDXY, NoahmpIO%ZWTXY, NoahmpIO%QLATXY, & + NoahmpIO%QRFXY, NoahmpIO%DEEPRECHXY, NoahmpIO%QSPRINGXY, & + NoahmpIO%QSLATXY, NoahmpIO%QRFSXY, NoahmpIO%QSPRINGSXY, & + NoahmpIO%RECHXY, & + NoahmpIO%IDS, NoahmpIO%IDE, NoahmpIO%JDS, NoahmpIO%JDE, & + NoahmpIO%KDS, NoahmpIO%KDE, NoahmpIO%IMS, NoahmpIO%IME, & + NoahmpIO%JMS,NoahmpIO%JME, NoahmpIO%KMS,NoahmpIO%KME, & + NoahmpIO%ITS,NoahmpIO%ITE, NoahmpIO%JTS,NoahmpIO%JTE, & + NoahmpIO%KTS,NoahmpIO%KTE) + endif ! MMF timestep + endif ! MMF groundwater !------------------------------------------------------------------------ ! END of surface_driver consistent code !------------------------------------------------------------------------ - ENDIF ! SKIP FIRST TIMESTEP + ENDIF ! ITIME > 0: SKIP FIRST TIMESTEP ! Output for history - OUTPUT_FOR_HISTORY: if (output_timestep > 0) then - if (mod(ITIME*noah_timestep, output_timestep) == 0 .and. .not. skip_first_output ) then - - call prepare_output_file (trim(outdir), version, & - igrid, output_timestep, llanduse, split_output_count, hgrid, & - ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - iswater, mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & - nsoil, nsnow, dzs, startdate, olddate, spinup_loop, spinup_loops, IVGTYP, ISLTYP) + OUTPUT_FOR_HISTORY: if (NoahmpIO%output_timestep > 0) then + if (mod(ITIME*NoahmpIO%noah_timestep, NoahmpIO%output_timestep) == 0 & + .and. .not. NoahmpIO%skip_first_output ) then + + call prepare_output_file (trim(NoahmpIO%outdir), version, & + NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & + NoahmpIO%split_output_count, NoahmpIO%hgrid, & + NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & + NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & + NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & + NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%dzs, & + NoahmpIO%startdate, NoahmpIO%olddate, NoahmpIO%spinup_loop, & + NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) DEFINE_MODE_LOOP : do imode = 1, 2 @@ -2838,208 +1105,213 @@ subroutine land_driver_exe(itime) ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. - ! Properties - Assigned or predicted - call add_to_output(IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) - call add_to_output(ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output(FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output(LAI , "LAI" , "Leaf area index" , "-" ) - call add_to_output(XSAIXY , "SAI" , "Stem area index" , "-" ) - ! Forcing - call add_to_output(SWDOWN , "SWFORC" , "Shortwave forcing" , "W m{-2}" ) - call add_to_output(COSZEN , "COSZ" , "Cosine of zenith angle" , "W m{-2}" ) - call add_to_output(GLW , "LWFORC" , "Longwave forcing" , "W m{-2}" ) - call add_to_output(RAINBL_tmp , "RAINRATE", "Precipitation rate" , "mm s{-1}" ) - ! Grid energy budget terms - call add_to_output(EMISS , "EMISS" , "Grid emissivity" , "" ) - call add_to_output(FSAXY , "FSA" , "Total absorbed SW radiation" , "W m{-2}" ) - call add_to_output(FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W m{-2}" ) - call add_to_output(GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W m{-2}" ) - call add_to_output(HFX , "HFX" , "Total sensible heat to atmosphere" , "W m{-2}" ) - call add_to_output(LH , "LH" , "Total latent heat to atmosphere" , "W m{-2}" ) - call add_to_output(ECANXY , "ECAN" , "Canopy water evaporation rate" , "kg m{-2} s{-1}" ) - call add_to_output(ETRANXY , "ETRAN" , "Transpiration rate" , "kg m{-2} s{-1}" ) - call add_to_output(EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "kg m{-2} s{-1}" ) - call add_to_output(ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) - ! Grid water budget terms - in addition to above - call add_to_output(UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output(SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output(CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output(CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output(ZWTXY , "ZWT" , "Depth to water table" , "m" ) - call add_to_output(WAXY , "WA" , "Water in aquifer" , "kg m{-2}" ) - call add_to_output(WTXY , "WT" , "Water in aquifer and saturated soil" , "kg m{-2}" ) - call add_to_output(QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - ! Additional needed to close the canopy energy budget - call add_to_output(SAVXY , "SAV" , "Solar radiative heat flux absorbed by vegetation", "W m{-2}" ) - call add_to_output(TRXY , "TR" , "Transpiration heat" , "W m{-2}" ) - call add_to_output(EVCXY , "EVC" , "Canopy evap heat" , "W m{-2}" ) - call add_to_output(IRCXY , "IRC" , "Canopy net LW rad" , "W m{-2}" ) - call add_to_output(SHCXY , "SHC" , "Canopy sensible heat" , "W m{-2}" ) - ! Additional needed to close the under canopy ground energy budget - call add_to_output(IRGXY , "IRG" , "Ground net LW rad" , "W m{-2}" ) - call add_to_output(SHGXY , "SHG" , "Ground sensible heat" , "W m{-2}" ) - call add_to_output(EVGXY , "EVG" , "Ground evap heat" , "W m{-2}" ) - call add_to_output(GHVXY , "GHV" , "Ground heat flux + to soil vegetated" , "W m{-2}" ) - ! Needed to close the bare ground energy budget - call add_to_output(SAGXY , "SAG" , "Solar radiative heat flux absorbed by ground", "W m{-2}" ) - call add_to_output(IRBXY , "IRB" , "Net LW rad to atm bare" , "W m{-2}" ) - call add_to_output(SHBXY , "SHB" , "Sensible heat to atm bare" , "W m{-2}" ) - call add_to_output(EVBXY , "EVB" , "Evaporation heat to atm bare" , "W m{-2}" ) - call add_to_output(GHBXY , "GHB" , "Ground heat flux + to soil bare" , "W m{-2}" ) - ! Above-soil temperatures - call add_to_output(TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output(TGXY , "TG" , "Ground temperature" , "K" ) - call add_to_output(TVXY , "TV" , "Vegetation temperature" , "K" ) - call add_to_output(TAHXY , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output(TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output(TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output(T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output(T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) - ! Above-soil moisture - call add_to_output(Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output(Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output(EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output(FWETXY , "FWET" , "Wetted or snowed fraction of canopy" , "fraction" ) - ! Snow and soil - 3D terms - call add_to_output(ZSNSOXY(:,-nsnow+1:0,:), "ZSNSO_SN" , "Snow layer depths from snow surface", "m", "SNOW") - call add_to_output(SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output(SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output(TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output(SMOIS , "SOIL_M" , "volumetric soil moisture" , "m{3} m{-3}" , "SOIL") - call add_to_output(SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3 m-3" , "SOIL") - call add_to_output(TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") - ! Snow - 2D terms - call add_to_output(SNOWH , "SNOWH" , "Snow depth" , "m" ) - call add_to_output(SNOW , "SNEQV" , "Snow water equivalent" , "kg m{-2}" ) - call add_to_output(QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm s{-1}" ) - call add_to_output(QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm s{-1}" ) - call add_to_output(ISNOWXY , "ISNOW" , "Number of snow layers" , "count" ) - call add_to_output(SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "" ) - call add_to_output(ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output(ACSNOM , "ACSNOM" , "accumulated melting water out of snow bottom" , "mm" ) - ! Exchange coefficients - call add_to_output(CMXY , "CM" , "Momentum drag coefficient" , "" ) - call add_to_output(CHXY , "CH" , "Sensible heat exchange coefficient" , "" ) - call add_to_output(CHVXY , "CHV" , "Exchange coefficient vegetated" , "m s{-1}" ) - call add_to_output(CHBXY , "CHB" , "Exchange coefficient bare" , "m s{-1}" ) - call add_to_output(CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m s{-1}" ) - call add_to_output(CHUCXY , "CHUC" , "Exchange coefficient bare" , "m s{-1}" ) - call add_to_output(CHV2XY , "CHV2" , "Exchange coefficient 2-meter vegetated" , "m s{-1}" ) - call add_to_output(CHB2XY , "CHB2" , "Exchange coefficient 2-meter bare" , "m s{-1}" ) - ! Carbon allocation model - call add_to_output(LFMASSXY , "LFMASS" , "Leaf mass" , "g m{-2}" ) - call add_to_output(RTMASSXY , "RTMASS" , "Mass of fine roots" , "g m{-2}" ) - call add_to_output(STMASSXY , "STMASS" , "Stem mass" , "g m{-2}" ) - call add_to_output(WOODXY , "WOOD" , "Mass of wood and woody roots" , "g m{-2}" ) - call add_to_output(GRAINXY , "GRAIN" , "Mass of grain " , "g m{-2}" ) !XING!THREE - call add_to_output(GDDXY , "GDD" , "Growing degree days(10) " , "" ) !XING - call add_to_output(STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "g m{-2}" ) - call add_to_output(FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "g m{-2}" ) - call add_to_output(NEEXY , "NEE" , "Net ecosystem exchange" , "g m{-2} s{-1} CO2" ) - call add_to_output(GPPXY , "GPP" , "Net instantaneous assimilation" , "g m{-2} s{-1} C" ) - call add_to_output(NPPXY , "NPP" , "Net primary productivity" , "g m{-2} s{-1} C" ) - call add_to_output(PSNXY , "PSN" , "Total photosynthesis" , "umol CO@ m{-2} s{-1}") - call add_to_output(APARXY , "APAR" , "Photosynthesis active energy by canopy" , "W m{-2}" ) - ! additional NoahMP output - if (noahmp_output > 0) then + ! Properties - Assigned or predicted + call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + ! Forcing + call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + ! Grid energy budget terms + call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) + ! Grid water budget terms - in addition to above + call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) + call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) + call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + ! Additional needed to close the canopy energy budget + call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) + ! Additional needed to close the under canopy ground energy budget + call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + ! Needed to close the bare ground energy budget + call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + ! Above-soil temperatures + call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) + call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) + call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) + ! Above-soil moisture + call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) + ! Snow and soil - 3D terms + call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") + ! Snow - 2D terms + call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) + call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) + ! Exchange coefficients + call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + ! Carbon allocation model + call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) + call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + ! additional NoahMP output + if (NoahmpIO%noahmp_output > 0) then ! additional water budget terms - call add_to_output(QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm s{-1}" ) - call add_to_output(QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm s{-1}" ) - call add_to_output(QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm s{-1}" ) - call add_to_output(QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm s{-1}" ) - call add_to_output(QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm s{-1}" ) - call add_to_output(QTHRORXY , "QTHROR" , "throughfall for rain" , "mm s{-1}" ) - call add_to_output(QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm s{-1}" ) - call add_to_output(QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm s{-1}" ) - call add_to_output(QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm s{-1}" ) - call add_to_output(QFROCXY , "QFROC" , "canopy snow frost rate" , "mm s{-1}" ) - call add_to_output(QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm s{-1}" ) - call add_to_output(QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm s{-1}" ) - call add_to_output(QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm s{-1}" ) - call add_to_output(QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm s{-1}" ) - call add_to_output(QSNBOTXY , "QSNBOT" , "total liquid water (melt+rain through) out of snow bottom", "mm s{-1}" ) - call add_to_output(QMELTXY , "QMELT" , "snow melt due to phase change" , "mm s{-1}" ) - call add_to_output(PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm s{-1}" ) - call add_to_output(FPICEXY , "FPICE" , "snow fraction in precipitation" , "" ) - call add_to_output(ACC_QINSURXY,"ACC_QINSUR","accumuated water flux to soil within soil timestep","m/s*dt_soil/dt_main" ) - call add_to_output(ACC_QSEVAXY, "ACC_QSEVA" ,"accumulated soil surface evap rate within soil timestep","m/s*dt_soil/dt_main") - call add_to_output(ACC_ETRANIXY,"ACC_ETRANI","accumualted transpiration rate within soil timestep", "m/s*dt_soil/dt_main", "SOIL") - call add_to_output(ACC_DWATERXY,"ACC_DWATER","accumulated snow,soil,canopy water change within soil timestep", "mm") - call add_to_output(ACC_PRCPXY , "ACC_PRCP", "accumulated precipitation within soil timestep", "mm") - call add_to_output(ACC_ECANXY , "ACC_ECAN", "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output(ACC_ETRANXY, "ACC_ETRAN","accumulated transpiration within soil timestep", "mm") - call add_to_output(ACC_EDIRXY , "ACC_EDIR", "accumulated net soil/snow evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) + call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) + call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") ! additional energy terms - call add_to_output(PAHXY , "PAH" , "Precipitation advected heat flux" , "W m{-2}" ) - call add_to_output(PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground", "W m{-2}" ) - call add_to_output(PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W m{-2}" ) - call add_to_output(PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W m{-2}" ) - call add_to_output(ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow and soil layers within soil timestep","W m{-2}" ) - call add_to_output(EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J m{-2}" ) - call add_to_output(SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ m{-2}") - call add_to_output(SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ m{-2}") - call add_to_output(CANHSXY , "CANHS" , "canopy heat storage change" , "W m{-2}" ) + call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) ! additional forcing terms - call add_to_output(RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm s{-1}") - call add_to_output(SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm s{-1}") - call add_to_output(FORCTLSM , "FORCTLSM", "lowest model T into LSM" , "K" ) - call add_to_output(FORCQLSM , "FORCQLSM", "lowest model Q into LSM" , "kg kg{-1}") - call add_to_output(FORCPLSM , "FORCPLSM", "lowest model P into LSM" , "Pa" ) - call add_to_output(FORCZLSM , "FORCZLSM", "lowest model Z into LSM" , "m" ) - call add_to_output(FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m s{-1}" ) - endif - ! Irrigation - IF (irrigation_option > 0) THEN - call add_to_output(IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output(IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output(IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output(IRELOSS , "IRELOSS" , "Sprinkler Evaporation" , "mm" ) - call add_to_output(IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output(IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output(IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output(IRRSPLH , "IRRSPLH" , "Latent heating due to sprinkler" , "W m{-2}" ) - ENDIF - ! MMF groundwater model - IF(RUNOFF_OPTION == 5) THEN - call add_to_output(SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3 m{-3}") - call add_to_output(RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output(DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output(QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output(QRFXY , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output(QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output(QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output(QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output(QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) - ENDIF - ! For now, no urban output variables included + call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + endif + ! Irrigation + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + endif + ! MMF groundwater model + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) + endif + + ! For now, no urban output variables included enddo DEFINE_MODE_LOOP - call finalize_output_file(split_output_count,itime) + call finalize_output_file(NoahmpIO%split_output_count,itime) - endif - - if(skip_first_output) skip_first_output = .false. + endif + + if(NoahmpIO%skip_first_output) NoahmpIO%skip_first_output = .false. endif OUTPUT_FOR_HISTORY - - if (IVGTYP(xstart,ystart)==ISWATER) then - write(*,'(" ***DATE=", A19)', advance="NO") olddate + + if (NoahmpIO%IVGTYP(NoahmpIO%xstart,NoahmpIO%ystart)==NoahmpIO%ISWATER) then + write(*,'(" ***DATE=", A19)', advance="NO") NoahmpIO%olddate else - write(*,'(" ***DATE=", A19, 6F10.5)', advance="NO") olddate, TSLB(xstart,1,ystart), LAI(xstart,ystart) + write(*,'(" ***DATE=", A19, 6F10.5)', advance="NO") & + NoahmpIO%olddate, NoahmpIO%TSLB(NoahmpIO%xstart,1,NoahmpIO%ystart), & + NoahmpIO%LAI(NoahmpIO%xstart,NoahmpIO%ystart) endif !------------------------------------------------------------------------ ! Write Restart - timestamp equal to output will have same states !------------------------------------------------------------------------ - if ( (restart_frequency_hours .gt. 0) .and. & - (mod(ITIME, int(restart_frequency_hours*3600./nint(dtbl))) == 0)) then + if ( (NoahmpIO%restart_frequency_hours .gt. 0) .and. & + (mod(ITIME, int(NoahmpIO%restart_frequency_hours*3600./nint(NoahmpIO%dtbl))) == 0)) then call lsm_restart() + else - if (restart_frequency_hours <= 0) then - if ( (olddate( 9:10) == "01") .and. (olddate(12:13) == "00") .and. & - (olddate(15:16) == "00") .and. (olddate(18:19) == "00") ) then + + if (NoahmpIO%restart_frequency_hours <= 0) then + if ( (NoahmpIO%olddate( 9:10) == "01") .and. (NoahmpIO%olddate(12:13) == "00") .and. & + (NoahmpIO%olddate(15:16) == "00") .and. (NoahmpIO%olddate(18:19) == "00") ) then call lsm_restart() ! jlm - i moved all the restart code to a subroutine. endif endif @@ -3049,26 +1321,30 @@ subroutine land_driver_exe(itime) ! Advance the time !------------------------------------------------------------------------ - call geth_newdate(newdate, olddate, nint(dtbl)) - olddate = newdate + call geth_newdate(NoahmpIO%newdate, NoahmpIO%olddate, nint(NoahmpIO%dtbl)) + NoahmpIO%olddate = NoahmpIO%newdate - if(itime > 0 .and. spinup_loops > 0 .and. mod(itime,ntime/(spinup_loops+1)) == 0) then - spinup_loop = spinup_loop + 1 - call geth_newdate(olddate, startdate, nint(dtbl)) - reset_spinup_date = .true. + if(itime > 0 .and. NoahmpIO%spinup_loops > 0 .and. mod(itime,NoahmpIO%ntime/(NoahmpIO%spinup_loops+1)) == 0) then + NoahmpIO%spinup_loop = NoahmpIO%spinup_loop + 1 + call geth_newdate(NoahmpIO%olddate, NoahmpIO%startdate, nint(NoahmpIO%dtbl)) + NoahmpIO%reset_spinup_date = .true. end if ! update the timer - call system_clock(count=clock_count_2, count_rate=clock_rate) - timing_sum = timing_sum + float(clock_count_2-clock_count_1)/float(clock_rate) + call system_clock(count=NoahmpIO%clock_count_2, count_rate=NoahmpIO%clock_rate) + NoahmpIO%timing_sum = NoahmpIO%timing_sum + & + float(NoahmpIO%clock_count_2-NoahmpIO%clock_count_1)/float(NoahmpIO%clock_rate) write(*,'(" Timing: ",f6.2," Cumulative: ", f10.2, " SFLX: ", f6.2 )') & - float(clock_count_2-clock_count_1)/float(clock_rate), & - timing_sum, real(sflx_count_sum) / real(clock_rate) - clock_count_1 = clock_count_2 + float(NoahmpIO%clock_count_2-NoahmpIO%clock_count_1)/float(NoahmpIO%clock_rate), & + NoahmpIO%timing_sum, real(NoahmpIO%sflx_count_sum) / real(NoahmpIO%clock_rate) + + NoahmpIO%clock_count_1 = NoahmpIO%clock_count_2 #ifdef WRF_HYDRO - call hrldas_drv_HYDRO(TSLB(:,1:NSOIL,:),SMOIS(:,1:NSOIL,:),SH2O(:,1:NSOIL,:),infxsrt,& - sfcheadrt,soldrain,qtiledrain,ZWATBLE2D,ix,jx,NSOIL) + call hrldas_drv_HYDRO(NoahmpIO%TSLB(:,1:NoahmpIO%NSOIL,:),NoahmpIO%SMOIS(:,1:NoahmpIO%NSOIL,:), & + NoahmpIO%SH2O(:,1:NoahmpIO%NSOIL,:),NoahmpIO%infxsrt, & + NoahmpIO%sfcheadrt,NoahmpIO%soldrain,NoahmpIO%qtiledrain, & + NoahmpIO%ZWATBLE2D,NoahmpIO%ix,NoahmpIO%jx,NoahmpIO%NSOIL) #endif end subroutine land_driver_exe @@ -3077,195 +1353,192 @@ end subroutine land_driver_exe subroutine lsm_restart() implicit none - print*, 'Write restart at '//olddate(1:13) - - call prepare_restart_file (trim(outdir), version, igrid, llanduse, olddate, startdate, & - ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, max_urban_dim, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, & - cen_lon, iswater, ivgtyp) + print*, 'Write restart at '//NoahmpIO%olddate(1:13) + + call prepare_restart_file (trim(NoahmpIO%outdir), version, NoahmpIO%igrid, NoahmpIO%llanduse, & + NoahmpIO%olddate, NoahmpIO%startdate, NoahmpIO%ixfull, NoahmpIO%jxfull, & + NoahmpIO%ixpar, NoahmpIO%jxpar, NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%max_urban_dim, NoahmpIO%dx, & + NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, NoahmpIO%mapproj, & + NoahmpIO%lat1, NoahmpIO%lon1, NoahmpIO%cen_lon, NoahmpIO%iswater, NoahmpIO%ivgtyp) - call add_to_restart(TSLB , "SOIL_T", layers="SOIL") - call add_to_restart(TSNOXY , "SNOW_T", layers="SNOW") - call add_to_restart(SMOIS , "SMC" , layers="SOIL") - call add_to_restart(SH2O , "SH2O" , layers="SOIL") - call add_to_restart(ZSNSOXY , "ZSNSO" , layers="SOSN") - call add_to_restart(SNICEXY , "SNICE" , layers="SNOW") - call add_to_restart(SNLIQXY , "SNLIQ" , layers="SNOW") - call add_to_restart(QSNOWXY , "QSNOW" ) - call add_to_restart(QRAINXY , "QRAIN" ) - call add_to_restart(FWETXY , "FWET" ) - call add_to_restart(SNEQVOXY , "SNEQVO") - call add_to_restart(EAHXY , "EAH" ) - call add_to_restart(TAHXY , "TAH" ) - call add_to_restart(ALBOLDXY , "ALBOLD") - call add_to_restart(CMXY , "CM" ) - call add_to_restart(CHXY , "CH" ) - call add_to_restart(ISNOWXY , "ISNOW" ) - call add_to_restart(CANLIQXY , "CANLIQ") - call add_to_restart(CANICEXY , "CANICE") - call add_to_restart(SNOW , "SNEQV" ) - call add_to_restart(SNOWH , "SNOWH" ) - call add_to_restart(TVXY , "TV" ) - call add_to_restart(TGXY , "TG" ) - call add_to_restart(ZWTXY , "ZWT" ) - call add_to_restart(WAXY , "WA" ) - call add_to_restart(WTXY , "WT" ) - call add_to_restart(WSLAKEXY , "WSLAKE") - call add_to_restart(LFMASSXY , "LFMASS") - call add_to_restart(RTMASSXY , "RTMASS") - call add_to_restart(STMASSXY , "STMASS") - call add_to_restart(WOODXY , "WOOD" ) - call add_to_restart(GRAINXY , "GRAIN" ) - call add_to_restart(GDDXY , "GDD" ) - call add_to_restart(STBLCPXY , "STBLCP") - call add_to_restart(FASTCPXY , "FASTCP") - call add_to_restart(LAI , "LAI" ) - call add_to_restart(XSAIXY , "SAI" ) - call add_to_restart(VEGFRA , "VEGFRA") - call add_to_restart(GVFMIN , "GVFMIN") - call add_to_restart(GVFMAX , "GVFMAX") - call add_to_restart(ACSNOM , "ACMELT") - call add_to_restart(ACSNOW , "ACSNOW") - call add_to_restart(TAUSSXY , "TAUSS" ) - call add_to_restart(QSFC , "QSFC" ) - call add_to_restart(SFCRUNOFF , "SFCRUNOFF") - call add_to_restart(UDRUNOFF , "UDRUNOFF" ) - call add_to_restart(QTDRAIN , "QTDRAIN" ) - call add_to_restart(ACC_SSOILXY ,"ACC_SSOIL" ) - call add_to_restart(ACC_QINSURXY,"ACC_QINSUR") - call add_to_restart(ACC_QSEVAXY ,"ACC_QSEVA" ) - call add_to_restart(ACC_ETRANIXY,"ACC_ETRANI", layers="SOIL") - call add_to_restart(ACC_DWATERXY,"ACC_DWATER") - call add_to_restart(ACC_PRCPXY ,"ACC_PRCP" ) - call add_to_restart(ACC_ECANXY ,"ACC_ECAN" ) - call add_to_restart(ACC_ETRANXY ,"ACC_ETRAN" ) - call add_to_restart(ACC_EDIRXY ,"ACC_EDIR" ) + call add_to_restart(NoahmpIO%TSLB , "SOIL_T", layers="SOIL") + call add_to_restart(NoahmpIO%TSNOXY , "SNOW_T", layers="SNOW") + call add_to_restart(NoahmpIO%SMOIS , "SMC" , layers="SOIL") + call add_to_restart(NoahmpIO%SH2O , "SH2O" , layers="SOIL") + call add_to_restart(NoahmpIO%ZSNSOXY , "ZSNSO" , layers="SOSN") + call add_to_restart(NoahmpIO%SNICEXY , "SNICE" , layers="SNOW") + call add_to_restart(NoahmpIO%SNLIQXY , "SNLIQ" , layers="SNOW") + call add_to_restart(NoahmpIO%FWETXY , "FWET" ) + call add_to_restart(NoahmpIO%SNEQVOXY , "SNEQVO") + call add_to_restart(NoahmpIO%EAHXY , "EAH" ) + call add_to_restart(NoahmpIO%TAHXY , "TAH" ) + call add_to_restart(NoahmpIO%ALBOLDXY , "ALBOLD") + call add_to_restart(NoahmpIO%CMXY , "CM" ) + call add_to_restart(NoahmpIO%CHXY , "CH" ) + call add_to_restart(NoahmpIO%ISNOWXY , "ISNOW" ) + call add_to_restart(NoahmpIO%CANLIQXY , "CANLIQ") + call add_to_restart(NoahmpIO%CANICEXY , "CANICE") + call add_to_restart(NoahmpIO%SNOW , "SNEQV" ) + call add_to_restart(NoahmpIO%SNOWH , "SNOWH" ) + call add_to_restart(NoahmpIO%TVXY , "TV" ) + call add_to_restart(NoahmpIO%TGXY , "TG" ) + call add_to_restart(NoahmpIO%ZWTXY , "ZWT" ) + call add_to_restart(NoahmpIO%WAXY , "WA" ) + call add_to_restart(NoahmpIO%WTXY , "WT" ) + call add_to_restart(NoahmpIO%WSLAKEXY , "WSLAKE") + call add_to_restart(NoahmpIO%LFMASSXY , "LFMASS") + call add_to_restart(NoahmpIO%RTMASSXY , "RTMASS") + call add_to_restart(NoahmpIO%STMASSXY , "STMASS") + call add_to_restart(NoahmpIO%CROPCAT , "CROPCAT") + call add_to_restart(NoahmpIO%WOODXY , "WOOD" ) + call add_to_restart(NoahmpIO%GRAINXY , "GRAIN" ) + call add_to_restart(NoahmpIO%GDDXY , "GDD" ) + call add_to_restart(NoahmpIO%STBLCPXY , "STBLCP") + call add_to_restart(NoahmpIO%FASTCPXY , "FASTCP") + call add_to_restart(NoahmpIO%LAI , "LAI" ) + call add_to_restart(NoahmpIO%XSAIXY , "SAI" ) + call add_to_restart(NoahmpIO%VEGFRA , "VEGFRA") + call add_to_restart(NoahmpIO%GVFMIN , "GVFMIN") + call add_to_restart(NoahmpIO%GVFMAX , "GVFMAX") + call add_to_restart(NoahmpIO%ACSNOM , "ACMELT") + call add_to_restart(NoahmpIO%ACSNOW , "ACSNOW") + call add_to_restart(NoahmpIO%TAUSSXY , "TAUSS" ) + call add_to_restart(NoahmpIO%QSFC , "QSFC" ) + call add_to_restart(NoahmpIO%SFCRUNOFF , "SFCRUNOFF") + call add_to_restart(NoahmpIO%UDRUNOFF , "UDRUNOFF" ) + call add_to_restart(NoahmpIO%QTDRAIN , "QTDRAIN" ) + call add_to_restart(NoahmpIO%ACC_SSOILXY ,"ACC_SSOIL" ) + call add_to_restart(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR") + call add_to_restart(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" ) + call add_to_restart(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", layers="SOIL") + call add_to_restart(NoahmpIO%ACC_DWATERXY,"ACC_DWATER") + call add_to_restart(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" ) + call add_to_restart(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" ) + call add_to_restart(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" ) + call add_to_restart(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" ) ! irrigation scheme - IF (irrigation_option > 0) THEN - call add_to_restart(IRNUMSI , "IRNUMSI") - call add_to_restart(IRNUMMI , "IRNUMMI") - call add_to_restart(IRNUMFI , "IRNUMFI") - call add_to_restart(IRWATSI , "IRWATSI") - call add_to_restart(IRWATMI , "IRWATMI") - call add_to_restart(IRWATFI , "IRWATFI") - call add_to_restart(IRSIVOL , "IRSIVOL") - call add_to_restart(IRMIVOL , "IRMIVOL") - call add_to_restart(IRFIVOL , "IRFIVOL") + IF (NoahmpIO%IOPT_IRR > 0) THEN + call add_to_restart(NoahmpIO%IRNUMSI , "IRNUMSI") + call add_to_restart(NoahmpIO%IRNUMMI , "IRNUMMI") + call add_to_restart(NoahmpIO%IRNUMFI , "IRNUMFI") + call add_to_restart(NoahmpIO%IRWATSI , "IRWATSI") + call add_to_restart(NoahmpIO%IRWATMI , "IRWATMI") + call add_to_restart(NoahmpIO%IRWATFI , "IRWATFI") + call add_to_restart(NoahmpIO%IRSIVOL , "IRSIVOL") + call add_to_restart(NoahmpIO%IRMIVOL , "IRMIVOL") + call add_to_restart(NoahmpIO%IRFIVOL , "IRFIVOL") + call add_to_restart(NoahmpIO%IRELOSS , "IRELOSS") + call add_to_restart(NoahmpIO%IRRSPLH , "IRRSPLH") ENDIF - ! below for opt_run = 5 - call add_to_restart(SMOISEQ , "SMOISEQ" , layers="SOIL" ) - call add_to_restart(AREAXY , "AREAXY" ) - call add_to_restart(SMCWTDXY , "SMCWTDXY" ) - call add_to_restart(DEEPRECHXY, "DEEPRECHXY" ) - call add_to_restart(QSLATXY , "QSLATXY" ) - call add_to_restart(QRFSXY , "QRFSXY" ) - call add_to_restart(QSPRINGSXY, "QSPRINGSXY" ) - call add_to_restart(RECHXY , "RECHXY" ) - call add_to_restart(QRFXY , "QRFXY" ) - call add_to_restart(QSPRINGXY , "QSPRINGXY" ) - call add_to_restart(FDEPTHXY , "FDEPTHXY" ) - call add_to_restart(RIVERCONDXY , "RIVERCONDXY" ) - call add_to_restart(RIVERBEDXY , "RIVERBEDXY" ) - call add_to_restart(EQZWT , "EQZWT" ) - call add_to_restart(PEXPXY , "PEXPXY" ) - - IF(SF_URBAN_PHYSICS > 0 ) THEN ! any urban model - - call add_to_restart( SH_URB2D , "SH_URB2D" ) - call add_to_restart( LH_URB2D , "LH_URB2D" ) - call add_to_restart( G_URB2D , "G_URB2D" ) - call add_to_restart( RN_URB2D , "RN_URB2D" ) - call add_to_restart( TS_URB2D , "TS_URB2D" ) - call add_to_restart( FRC_URB2D , "FRC_URB2D" ) - call add_to_restart( UTYPE_URB2D , "UTYPE_URB2D" ) - call add_to_restart( LP_URB2D , "LP_URB2D" ) - call add_to_restart( LB_URB2D , "LB_URB2D" ) - call add_to_restart( HGT_URB2D , "HGT_URB2D" ) - call add_to_restart( MH_URB2D , "MH_URB2D" ) - call add_to_restart( STDH_URB2D , "STDH_URB2D" ) - call add_to_restart( HI_URB2D , "HI_URB2D", layers="URBN") - call add_to_restart( LF_URB2D , "LF_URB2D", layers="URBN") - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model - - call add_to_restart( CMR_SFCDIF , "CMR_SFCDIF" ) - call add_to_restart( CHR_SFCDIF , "CHR_SFCDIF" ) - call add_to_restart( CMC_SFCDIF , "CMC_SFCDIF" ) - call add_to_restart( CHC_SFCDIF , "CHC_SFCDIF" ) - call add_to_restart( CMGR_SFCDIF , "CMGR_SFCDIF" ) - call add_to_restart( CHGR_SFCDIF , "CHGR_SFCDIF" ) - call add_to_restart( TR_URB2D , "TR_URB2D" ) - call add_to_restart( TB_URB2D , "TB_URB2D" ) - call add_to_restart( TG_URB2D , "TG_URB2D" ) - call add_to_restart( TC_URB2D , "TC_URB2D" ) - call add_to_restart( QC_URB2D , "QC_URB2D" ) - call add_to_restart( UC_URB2D , "UC_URB2D" ) - call add_to_restart( XXXR_URB2D , "XXXR_URB2D" ) - call add_to_restart( XXXB_URB2D , "XXXB_URB2D" ) - call add_to_restart( XXXG_URB2D , "XXXG_URB2D" ) - call add_to_restart( XXXC_URB2D , "XXXC_URB2D" ) - call add_to_restart( TRL_URB3D , "TRL_URB3D", layers="SOIL" ) - call add_to_restart( TBL_URB3D , "TBL_URB3D", layers="SOIL" ) - call add_to_restart( TGL_URB3D , "TGL_URB3D", layers="SOIL" ) - call add_to_restart( CMCR_URB2D , "CMCR_URB2D" ) - call add_to_restart( TGR_URB2D , "TGR_URB2D" ) - call add_to_restart( TGRL_URB3D , "TGRL_URB3D", layers="SOIL" ) - call add_to_restart( SMR_URB3D , "SMR_URB3D", layers="SOIL" ) - call add_to_restart( DRELR_URB2D , "DRELR_URB2D" ) - call add_to_restart( DRELB_URB2D , "DRELB_URB2D" ) - call add_to_restart( DRELG_URB2D , "DRELG_URB2D" ) - call add_to_restart(FLXHUMR_URB2D , "FLXHUMR_URB2D" ) - call add_to_restart(FLXHUMB_URB2D , "FLXHUMB_URB2D" ) - call add_to_restart(FLXHUMG_URB2D , "FLXHUMG_URB2D" ) - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 2 .or. SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models - - call add_to_restart( TRB_URB4D , "TRB_URB4D", layers="URBN" ) - call add_to_restart( TW1_URB4D , "TW1_URB4D", layers="URBN" ) - call add_to_restart( TW2_URB4D , "TW2_URB4D", layers="URBN" ) - call add_to_restart( TGB_URB4D , "TGB_URB4D", layers="URBN" ) - call add_to_restart( SFW1_URB3D , "SFW1_URB3D", layers="URBN" ) - call add_to_restart( SFW2_URB3D , "SFW2_URB3D", layers="URBN" ) - call add_to_restart( SFR_URB3D , "SFR_URB3D", layers="URBN" ) - call add_to_restart( SFG_URB3D , "SFG_URB3D", layers="URBN" ) - -! ENDIF - -! IF(SF_URBAN_PHYSICS == 3) THEN ! BEM urban model + ! below for MMF groundwater scheme + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_restart(NoahmpIO%SMOISEQ , "SMOISEQ" , layers="SOIL" ) + call add_to_restart(NoahmpIO%AREAXY , "AREAXY" ) + call add_to_restart(NoahmpIO%SMCWTDXY , "SMCWTDXY" ) + call add_to_restart(NoahmpIO%DEEPRECHXY , "DEEPRECHXY" ) + call add_to_restart(NoahmpIO%QSLATXY , "QSLATXY" ) + call add_to_restart(NoahmpIO%QRFSXY , "QRFSXY" ) + call add_to_restart(NoahmpIO%QSPRINGSXY , "QSPRINGSXY" ) + call add_to_restart(NoahmpIO%RECHXY , "RECHXY" ) + call add_to_restart(NoahmpIO%QRFXY , "QRFXY" ) + call add_to_restart(NoahmpIO%QSPRINGXY , "QSPRINGXY" ) + call add_to_restart(NoahmpIO%FDEPTHXY , "FDEPTHXY" ) + call add_to_restart(NoahmpIO%RIVERCONDXY , "RIVERCONDXY" ) + call add_to_restart(NoahmpIO%RIVERBEDXY , "RIVERBEDXY" ) + call add_to_restart(NoahmpIO%EQZWT , "EQZWT" ) + call add_to_restart(NoahmpIO%PEXPXY , "PEXPXY" ) + endif + ! below for urban model + if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then + call add_to_restart( NoahmpIO%SH_URB2D , "SH_URB2D" ) + call add_to_restart( NoahmpIO%LH_URB2D , "LH_URB2D" ) + call add_to_restart( NoahmpIO%G_URB2D , "G_URB2D" ) + call add_to_restart( NoahmpIO%RN_URB2D , "RN_URB2D" ) + call add_to_restart( NoahmpIO%TS_URB2D , "TS_URB2D" ) + call add_to_restart( NoahmpIO%FRC_URB2D , "FRC_URB2D" ) + call add_to_restart( NoahmpIO%UTYPE_URB2D , "UTYPE_URB2D" ) + call add_to_restart( NoahmpIO%LP_URB2D , "LP_URB2D" ) + call add_to_restart( NoahmpIO%LB_URB2D , "LB_URB2D" ) + call add_to_restart( NoahmpIO%HGT_URB2D , "HGT_URB2D" ) + call add_to_restart( NoahmpIO%MH_URB2D , "MH_URB2D" ) + call add_to_restart( NoahmpIO%STDH_URB2D , "STDH_URB2D" ) + call add_to_restart( NoahmpIO%HI_URB2D , "HI_URB2D", layers="URBN") + call add_to_restart( NoahmpIO%LF_URB2D , "LF_URB2D", layers="URBN") - call add_to_restart( TLEV_URB3D , "TLEV_URB3D", layers="URBN" ) - call add_to_restart( QLEV_URB3D , "QLEV_URB3D", layers="URBN" ) - call add_to_restart( TW1LEV_URB3D , "TW1LEV_URB3D", layers="URBN" ) - call add_to_restart( TW2LEV_URB3D , "TW2LEV_URB3D", layers="URBN" ) - call add_to_restart( TGLEV_URB3D , "TGLEV_URB3D", layers="URBN" ) - call add_to_restart( TFLEV_URB3D , "TFLEV_URB3D", layers="URBN" ) - call add_to_restart( SF_AC_URB3D , "SF_AC_URB3D" ) - call add_to_restart( LF_AC_URB3D , "LF_AC_URB3D" ) - call add_to_restart( CM_AC_URB3D , "CM_AC_URB3D" ) - call add_to_restart( SFVENT_URB3D , "SFVENT_URB3D" ) - call add_to_restart( LFVENT_URB3D , "LFVENT_URB3D" ) - call add_to_restart( SFWIN1_URB3D , "SFWIN1_URB3D", layers="URBN" ) - call add_to_restart( SFWIN2_URB3D , "SFWIN2_URB3D", layers="URBN" ) - call add_to_restart( EP_PV_URB3D , "EP_PV_URB3D" ) - call add_to_restart( T_PV_URB3D , "T_PV_URB3D", layers="URBN" ) - call add_to_restart( TRV_URB4D , "TRV_URB4D" , layers="URBN" ) - call add_to_restart( QR_URB4D , "QR_URB4D" , layers="URBN" ) - call add_to_restart( QGR_URB3D , "QGR_URB3D" ) - call add_to_restart( TGR_URB3D , "TGR_URB3D" ) - call add_to_restart( DRAIN_URB4D , "DRAIN_URB4D", layers="URBN" ) - call add_to_restart( DRAINGR_URB3D , "DRAINGR_URB3D" ) - call add_to_restart( SFRV_URB3D , "SFRV_URB3D", layers="URBN" ) - call add_to_restart( LFRV_URB3D , "LFRV_URB3D", layers="URBN" ) - call add_to_restart( DGR_URB3D , "DGR_URB3D", layers="URBN" ) - call add_to_restart( DG_URB3D , "DG_URB3D", layers="URBN" ) - call add_to_restart( LFR_URB3D , "LFR_URB3D", layers="URBN" ) - call add_to_restart( LFG_URB3D , "LFG_URB3D", layers="URBN" ) + !IF(NoahmpIO%SF_URBAN_PHYSICS == 1 ) THEN ! single layer urban model + call add_to_restart( NoahmpIO%CMR_SFCDIF , "CMR_SFCDIF" ) + call add_to_restart( NoahmpIO%CHR_SFCDIF , "CHR_SFCDIF" ) + call add_to_restart( NoahmpIO%CMC_SFCDIF , "CMC_SFCDIF" ) + call add_to_restart( NoahmpIO%CHC_SFCDIF , "CHC_SFCDIF" ) + call add_to_restart( NoahmpIO%CMGR_SFCDIF , "CMGR_SFCDIF" ) + call add_to_restart( NoahmpIO%CHGR_SFCDIF , "CHGR_SFCDIF" ) + call add_to_restart( NoahmpIO%TR_URB2D , "TR_URB2D" ) + call add_to_restart( NoahmpIO%TB_URB2D , "TB_URB2D" ) + call add_to_restart( NoahmpIO%TG_URB2D , "TG_URB2D" ) + call add_to_restart( NoahmpIO%TC_URB2D , "TC_URB2D" ) + call add_to_restart( NoahmpIO%QC_URB2D , "QC_URB2D" ) + call add_to_restart( NoahmpIO%UC_URB2D , "UC_URB2D" ) + call add_to_restart( NoahmpIO%XXXR_URB2D , "XXXR_URB2D" ) + call add_to_restart( NoahmpIO%XXXB_URB2D , "XXXB_URB2D" ) + call add_to_restart( NoahmpIO%XXXG_URB2D , "XXXG_URB2D" ) + call add_to_restart( NoahmpIO%XXXC_URB2D , "XXXC_URB2D" ) + call add_to_restart( NoahmpIO%TRL_URB3D , "TRL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%TBL_URB3D , "TBL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%TGL_URB3D , "TGL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%CMCR_URB2D , "CMCR_URB2D" ) + call add_to_restart( NoahmpIO%TGR_URB2D , "TGR_URB2D" ) + call add_to_restart( NoahmpIO%TGRL_URB3D , "TGRL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%SMR_URB3D , "SMR_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%DRELR_URB2D , "DRELR_URB2D" ) + call add_to_restart( NoahmpIO%DRELB_URB2D , "DRELB_URB2D" ) + call add_to_restart( NoahmpIO%DRELG_URB2D , "DRELG_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMR_URB2D , "FLXHUMR_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMB_URB2D , "FLXHUMB_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMG_URB2D , "FLXHUMG_URB2D" ) + !ENDIF + + !IF(NoahmpIO%SF_URBAN_PHYSICS == 2 .or. NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEP or BEM urban models + call add_to_restart( NoahmpIO%TRB_URB4D , "TRB_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW1_URB4D , "TW1_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW2_URB4D , "TW2_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TGB_URB4D , "TGB_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFW1_URB3D , "SFW1_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFW2_URB3D , "SFW2_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFR_URB3D , "SFR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFG_URB3D , "SFG_URB3D", layers="URBN" ) + !ENDIF + + !IF(NoahmpIO%SF_URBAN_PHYSICS == 3) THEN ! BEM urban model + call add_to_restart( NoahmpIO%TLEV_URB3D , "TLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%QLEV_URB3D , "QLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW1LEV_URB3D , "TW1LEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW2LEV_URB3D , "TW2LEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TGLEV_URB3D , "TGLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TFLEV_URB3D , "TFLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SF_AC_URB3D , "SF_AC_URB3D" ) + call add_to_restart( NoahmpIO%LF_AC_URB3D , "LF_AC_URB3D" ) + call add_to_restart( NoahmpIO%CM_AC_URB3D , "CM_AC_URB3D" ) + call add_to_restart( NoahmpIO%SFVENT_URB3D , "SFVENT_URB3D" ) + call add_to_restart( NoahmpIO%LFVENT_URB3D , "LFVENT_URB3D" ) + call add_to_restart( NoahmpIO%SFWIN1_URB3D , "SFWIN1_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFWIN2_URB3D , "SFWIN2_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%EP_PV_URB3D , "EP_PV_URB3D" ) + call add_to_restart( NoahmpIO%T_PV_URB3D , "T_PV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TRV_URB4D , "TRV_URB4D" , layers="URBN" ) + call add_to_restart( NoahmpIO%QR_URB4D , "QR_URB4D" , layers="URBN" ) + call add_to_restart( NoahmpIO%QGR_URB3D , "QGR_URB3D" ) + call add_to_restart( NoahmpIO%TGR_URB3D , "TGR_URB3D" ) + call add_to_restart( NoahmpIO%DRAIN_URB4D , "DRAIN_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%DRAINGR_URB3D , "DRAINGR_URB3D" ) + call add_to_restart( NoahmpIO%SFRV_URB3D , "SFRV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFRV_URB3D , "LFRV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%DGR_URB3D , "DGR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%DG_URB3D , "DG_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFR_URB3D , "LFR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFG_URB3D , "LFG_URB3D", layers="URBN" ) - ENDIF + endif call finalize_restart_file() @@ -3328,10 +1601,10 @@ SUBROUTINE CALC_DECLIN ( NOWDATE, LATITUDE, LONGITUDE, COSZ, JULIAN, & !-----CALCULATE LONGITUDE OF THE SUN FROM VERNAL EQUINOX: - IF(JULIAN .GE. 80.) SXLONG=DPD*(JULIAN-80.)*DEGRAD - IF(JULIAN .LT. 80.) SXLONG=DPD*(JULIAN+285.)*DEGRAD - ARG=SINOB*SIN(SXLONG) - DECLIN=ASIN(ARG) + IF(JULIAN >= 80.0) SXLONG = DPD*(JULIAN-80.0)*DEGRAD + IF(JULIAN < 80.0) SXLONG = DPD*(JULIAN+285.0)*DEGRAD + ARG = SINOB * SIN(SXLONG) + DECLIN = ASIN(ARG) TLOCTIM = REAL(IHOUR) + REAL(IMINUTE)/60.0 + REAL(ISECOND)/3600.0 + LONGITUDE/15.0 ! LOCAL TIME IN HOURS TLOCTIM = AMOD(TLOCTIM+24.0, 24.0) @@ -3346,8 +1619,9 @@ SUBROUTINE CALC_DECLIN ( NOWDATE, LATITUDE, LONGITUDE, COSZ, JULIAN, & END SUBROUTINE CALC_DECLIN !--------------------------------------------------------------------- + SUBROUTINE LOCAL_TIME(NOWDATE, LONGITUDE, TLOCTIM) -!--------------------------------------------------------------------- + IMPLICIT NONE !--------------------------------------------------------------------- CHARACTER(LEN=19), INTENT(IN) :: NOWDATE ! YYYY-MM-DD_HH:MM:SS @@ -3369,14 +1643,3 @@ END SUBROUTINE LOCAL_TIME end module module_NoahMP_hrldas_driver -!subroutine wrf_message(msg) -! implicit none -! character(len=*), intent(in) :: msg -! print*, msg -!end subroutine wrf_message - -logical function wrf_dm_on_monitor() result(l) - l = .TRUE. - return -end function wrf_dm_on_monitor - diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index 99d4c58..08d42df 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -876,7 +876,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil bexp_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -890,7 +890,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil smcdry_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -904,7 +904,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil smcwlt_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -918,7 +918,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil smcref_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -932,7 +932,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil smcmax_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -946,7 +946,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil dksat_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -960,7 +960,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil dwsat_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -974,7 +974,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil psisat_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -988,7 +988,7 @@ subroutine read_3d_soil(spatial_filename,xstart, xend,ystart, yend, & iret = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil/)) - do isoil = 1,4 + do isoil = 1,nsoil quartz_3d(:,isoil,:) = xdum(:,:,isoil) end do @@ -1555,12 +1555,13 @@ end subroutine get_2d_netcdf !--------------------------------------------------------------------------------------------------------- !--------------------------------------------------------------------------------------------------------- - subroutine get_netcdf_soillevel(name, ncid, array, units, xstart, xend, ystart, yend, fatal_if_error, ierr) + subroutine get_netcdf_soillevel(name, ncid, nsoil, array, units, xstart, xend, ystart, yend, fatal_if_error, ierr) implicit none character(len=*), intent(in) :: name integer, intent(in) :: ncid + integer, intent(in) :: nsoil integer, intent(in) :: xstart, xend, ystart, yend - real, dimension(xstart:xend,4,ystart:yend), intent(out) :: array + real, dimension(xstart:xend,nsoil,ystart:yend), intent(out) :: array character(len=256), intent(out) :: units ! FATAL_IF_ERROR: an input code value: ! .TRUE. if an error in reading the data should stop the program. @@ -1570,10 +1571,10 @@ subroutine get_netcdf_soillevel(name, ncid, array, units, xstart, xend, ystart, integer :: iret, varid, isoil #ifdef MPP_LAND - real:: g_array(global_nx,4,global_ny) - real:: insoil(global_nx,global_ny,4) + real:: g_array(global_nx,nsoil,global_ny) + real:: insoil(global_nx,global_ny,nsoil) #else - real:: insoil(xstart:xend,ystart:yend,4) + real:: insoil(xstart:xend,ystart:yend,nsoil) #endif units = " " @@ -1600,13 +1601,13 @@ subroutine get_netcdf_soillevel(name, ncid, array, units, xstart, xend, ystart, if (iret /= 0) units = "units unknown" #ifdef MPP_LAND - iret = nf90_get_var(ncid, varid, values=insoil, start=(/1,1,1,1/), count=(/global_nx,global_ny,4,1/)) - do isoil = 1,4 + iret = nf90_get_var(ncid, varid, values=insoil, start=(/1,1,1,1/), count=(/global_nx,global_ny,nsoil,1/)) + do isoil = 1,nsoil g_array(:,isoil,:) = insoil(:,:,isoil) end do #else - iret = nf90_get_var(ncid, varid, values=insoil, start=(/xstart,ystart,1,1/), count=(/xend-xstart+1,yend-ystart+1,4,1/)) - do isoil = 1,4 + iret = nf90_get_var(ncid, varid, values=insoil, start=(/xstart,ystart,1,1/), count=(/xend-xstart+1,yend-ystart+1,nsoil,1/)) + do isoil = 1,nsoil array(:,isoil,:) = insoil(:,:,isoil) end do #endif @@ -1632,7 +1633,7 @@ subroutine get_netcdf_soillevel(name, ncid, array, units, xstart, xend, ystart, call mpp_land_bcast_int1(ierr) call mpp_land_bcast_char(256,units) if(ierr /= 0) return - call decompose_data_real3d(g_array,array,4) + call decompose_data_real3d(g_array,array,nsoil) #endif end subroutine get_netcdf_soillevel @@ -1667,10 +1668,10 @@ subroutine readinit_hrldas(netcdf_flnm, xstart, xend, ystart, yend, nsoil, sldpt integer :: idx, isoil real, dimension(100) :: layer_bottom real, dimension(100) :: layer_top - real, dimension(4) :: dzs + real, dimension(nsoil) :: dzs - real, dimension(xstart:xend, ystart:yend, 4) :: insoil - real, dimension(xstart:xend, 4, ystart:yend) :: soildummy + real, dimension(xstart:xend, ystart:yend, nsoil) :: insoil + real, dimension(xstart:xend, nsoil, ystart:yend) :: soildummy integer :: rank ! @@ -1766,26 +1767,26 @@ subroutine readinit_hrldas(netcdf_flnm, xstart, xend, ystart, yend, nsoil, sldpt ! Get the interfaces from the input file (not the variable as of v3.7) ierr = nf90_inq_varid(ncid, "DZS", varid) - ierr = nf90_get_var(ncid, varid, values=dzs, start=(/1/), count=(/4/)) + ierr = nf90_get_var(ncid, varid, values=dzs, start=(/1/), count=(/nsoil/)) layer_top(1) = 0.0 layer_bottom(1) = dzs(1) - do isoil = 2, 4 + do isoil = 2, nsoil layer_top(isoil) = layer_bottom(isoil-1) layer_bottom(isoil) = layer_top(isoil) + dzs(isoil) end do - call get_netcdf_soillevel("TSLB", ncid, soildummy, units, xstart, xend, ystart, yend, FATAL, ierr) + call get_netcdf_soillevel("TSLB", ncid, nsoil, soildummy, units, xstart, xend, ystart, yend, FATAL, ierr) - write(*, '("layer_bottom(1:4) = ", 4F9.4)') layer_bottom(1:4) - write(*, '("layer_top(1:4) = ", 4F9.4)') layer_top(1:4) + write(*, '("layer_bottom(1:nsoil) = ", 4F9.4)') layer_bottom(1:nsoil) + write(*, '("layer_top(1:nsoil) = ", 4F9.4)') layer_top(1:nsoil) write(*, '("Soil depth = ", 10F12.6)') sldpth - call init_interp(xstart, xend, ystart, yend, nsoil, sldpth, stc, 4, soildummy, layer_bottom(1:4), layer_top(1:4)) + call init_interp(xstart, xend, ystart, yend, nsoil, sldpth, stc, nsoil, soildummy, layer_bottom(1:nsoil), layer_top(1:nsoil)) - call get_netcdf_soillevel("SMOIS", ncid, soildummy, units, xstart, xend, ystart, yend, FATAL, ierr) + call get_netcdf_soillevel("SMOIS", ncid, nsoil, soildummy, units, xstart, xend, ystart, yend, FATAL, ierr) - call init_interp(xstart, xend, ystart, yend, nsoil, sldpth, smc, 4, soildummy, layer_bottom(1:4), layer_top(1:4)) + call init_interp(xstart, xend, ystart, yend, nsoil, sldpth, smc, nsoil, soildummy, layer_bottom(1:nsoil), layer_top(1:nsoil)) ierr = nf90_close(ncid) end subroutine readinit_hrldas diff --git a/hrldas/Makefile b/hrldas/Makefile index 2b60bd1..aae48fb 100644 --- a/hrldas/Makefile +++ b/hrldas/Makefile @@ -6,14 +6,20 @@ ifdef MPPFLAG (cd MPP; make -f Makefile.NoahMP) endif (cd Utility_routines; make) - (cd ../phys_wrf; make) + (cd ../noahmp/utility; make) + (cd ../noahmp/src; make) + (cd ../noahmp/drivers/hrldas; make) + (cd ../urban/wrf; make) (cd IO_code; make) (cd run; make) (cd HRLDAS_forcing; make) clean: (cd Utility_routines; make clean) - (cd ../phys_wrf; make clean) + (cd ../noahmp/utility; make clean) + (cd ../noahmp/src; make clean) + (cd ../noahmp/drivers/hrldas; make clean) + (cd ../urban/wrf; make clean) (cd IO_code; make clean) (cd run; make clean) (cd HRLDAS_forcing; make clean) @@ -27,7 +33,10 @@ ifdef MPPFLAG (cd MPP; make -f Makefile.NoahMP) endif (cd Utility_routines; make) - (cd ../phys_wrf; make) + (cd ../noahmp/utility; make) + (cd ../noahmp/src; make) + (cd ../noahmp/drivers/hrldas; make) + (cd ../urban/wrf; make) (cd IO_code; make NoahMP MOD_OPT="-DNoahMP") (cd run; make -f Makefile NoahMP) (cd HRLDAS_forcing; make) diff --git a/hrldas/arch/user_build_options.pgf90.mpi b/hrldas/arch/user_build_options.pgi.mpi similarity index 100% rename from hrldas/arch/user_build_options.pgf90.mpi rename to hrldas/arch/user_build_options.pgi.mpi diff --git a/hrldas/arch/user_build_options.pgf90.serial b/hrldas/arch/user_build_options.pgi.serial similarity index 100% rename from hrldas/arch/user_build_options.pgf90.serial rename to hrldas/arch/user_build_options.pgi.serial diff --git a/hrldas/docs/README.vector b/hrldas/docs/README.vector index 91891b0..4acecc4 100644 --- a/hrldas/docs/README.vector +++ b/hrldas/docs/README.vector @@ -120,7 +120,7 @@ You will need to specify their location in the HRLDAS namelist later. - leaf area index (will be used to initialize dynamic vegetation) - land mask (set to 1 for land points) - vegetation type (use USGS or MODIS categories; need to set some global attribute below) - - soil texture type (check SOILPARM.TBL if you don't know the texture types) + - soil texture type (check NoahmpTable.TBL if you don't know the texture types) 2. Go to the section titled "State initialization here" diff --git a/hrldas/run/GENPARM.TBL b/hrldas/run/GENPARM.TBL deleted file mode 120000 index cf274ee..0000000 --- a/hrldas/run/GENPARM.TBL +++ /dev/null @@ -1 +0,0 @@ -../../noahmp/parameters/GENPARM.TBL \ No newline at end of file diff --git a/hrldas/run/MPTABLE.TBL b/hrldas/run/MPTABLE.TBL deleted file mode 120000 index ea7c2d4..0000000 --- a/hrldas/run/MPTABLE.TBL +++ /dev/null @@ -1 +0,0 @@ -../../noahmp/parameters/MPTABLE.TBL \ No newline at end of file diff --git a/hrldas/run/Makefile b/hrldas/run/Makefile index 5688bf9..26941ff 100644 --- a/hrldas/run/Makefile +++ b/hrldas/run/Makefile @@ -22,23 +22,166 @@ OBJS_NoahMP = ../IO_code/module_NoahMP_hrldas_driver.o OBJS = \ ../IO_code/main_hrldas_driver.o \ ../IO_code/module_hrldas_netcdf_io.o \ - ../../phys_wrf/module_sf_noahmpdrv.o \ - ../../phys_wrf/module_sf_noahmplsm.o \ - ../../phys_wrf/module_sf_noahmp_glacier.o \ - ../../phys_wrf/module_sf_noahmp_groundwater.o \ - ../../phys_wrf/module_sf_gecros.o \ - ../../phys_wrf/module_bep_bem_helper.o \ - ../../phys_wrf/module_sf_urban.o \ - ../../phys_wrf/module_sf_bep.o \ - ../../phys_wrf/module_sf_bem.o \ - ../../phys_wrf/module_sf_bep_bem.o \ + ../../urban/wrf/module_bep_bem_helper.o \ + ../../urban/wrf/module_sf_urban.o \ + ../../urban/wrf/module_sf_bep.o \ + ../../urban/wrf/module_sf_bem.o \ + ../../urban/wrf/module_sf_bep_bem.o \ + ../../urban/wrf/NoahmpUrbanDriverMainMod.o \ ../Utility_routines/module_wrf_utilities.o \ ../Utility_routines/module_model_constants.o \ ../Utility_routines/module_date_utilities.o \ ../Utility_routines/kwm_string_utilities.o \ ../Utility_routines/module_wrf_error.o \ ../Utility_routines/module_ra_gfdleta.o \ - ../Utility_routines/module_domain.o + ../Utility_routines/module_domain.o\ + ../../noahmp/drivers/hrldas/NoahmpDriverMainMod.o \ + ../../noahmp/drivers/hrldas/NoahmpInitMainMod.o \ + ../../noahmp/drivers/hrldas/NoahmpGroundwaterInitMod.o \ + ../../noahmp/drivers/hrldas/NoahmpSnowInitMod.o \ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o \ + ../../noahmp/drivers/hrldas/NoahmpIOVarInitMod.o \ + ../../noahmp/drivers/hrldas/NoahmpReadNamelistMod.o \ + ../../noahmp/drivers/hrldas/NoahmpReadTableMod.o \ + ../../noahmp/drivers/hrldas/ConfigVarOutTransferMod.o \ + ../../noahmp/drivers/hrldas/ForcingVarOutTransferMod.o \ + ../../noahmp/drivers/hrldas/EnergyVarOutTransferMod.o \ + ../../noahmp/drivers/hrldas/WaterVarOutTransferMod.o \ + ../../noahmp/drivers/hrldas/BiochemVarOutTransferMod.o \ + ../../noahmp/drivers/hrldas/ConfigVarInTransferMod.o \ + ../../noahmp/drivers/hrldas/ForcingVarInTransferMod.o \ + ../../noahmp/drivers/hrldas/EnergyVarInTransferMod.o \ + ../../noahmp/drivers/hrldas/WaterVarInTransferMod.o \ + ../../noahmp/drivers/hrldas/BiochemVarInTransferMod.o \ + ../../noahmp/drivers/hrldas/PedoTransferSR2006Mod.o \ + ../../noahmp/utility/Machine.o \ + ../../noahmp/utility/CheckNanMod.o \ + ../../noahmp/src/ConstantDefineMod.o \ + ../../noahmp/src/ConfigVarType.o \ + ../../noahmp/src/ForcingVarType.o \ + ../../noahmp/src/EnergyVarType.o \ + ../../noahmp/src/WaterVarType.o \ + ../../noahmp/src/BiochemVarType.o \ + ../../noahmp/src/NoahmpVarType.o \ + ../../noahmp/src/ConfigVarInitMod.o \ + ../../noahmp/src/ForcingVarInitMod.o \ + ../../noahmp/src/EnergyVarInitMod.o \ + ../../noahmp/src/WaterVarInitMod.o \ + ../../noahmp/src/BiochemVarInitMod.o \ + ../../noahmp/src/CanopyHydrologyMod.o \ + ../../noahmp/src/GroundWaterTopModelMod.o \ + ../../noahmp/src/IrrigationFloodMod.o \ + ../../noahmp/src/IrrigationInfilPhilipMod.o \ + ../../noahmp/src/IrrigationMicroMod.o \ + ../../noahmp/src/MatrixSolverTriDiagonalMod.o \ + ../../noahmp/src/RunoffSubSurfaceDrainageMod.o \ + ../../noahmp/src/RunoffSubSurfaceEquiWaterTableMod.o \ + ../../noahmp/src/RunoffSubSurfaceGroundWaterMod.o \ + ../../noahmp/src/RunoffSubSurfaceShallowMmfMod.o \ + ../../noahmp/src/RunoffSurfaceBatsMod.o \ + ../../noahmp/src/RunoffSurfaceDynamicVicMod.o \ + ../../noahmp/src/RunoffSurfaceExcessDynamicVicMod.o \ + ../../noahmp/src/RunoffSurfaceFreeDrainMod.o \ + ../../noahmp/src/RunoffSurfaceTopModelEquiMod.o \ + ../../noahmp/src/RunoffSurfaceTopModelGrdMod.o \ + ../../noahmp/src/RunoffSurfaceTopModelMmfMod.o \ + ../../noahmp/src/RunoffSurfaceVicMod.o \ + ../../noahmp/src/RunoffSurfaceXinAnJiangMod.o \ + ../../noahmp/src/ShallowWaterTableMmfMod.o \ + ../../noahmp/src/SnowfallBelowCanopyMod.o \ + ../../noahmp/src/SnowLayerCombineMod.o \ + ../../noahmp/src/SnowLayerDivideMod.o \ + ../../noahmp/src/SnowLayerWaterComboMod.o \ + ../../noahmp/src/SnowpackCompactionMod.o \ + ../../noahmp/src/SnowpackHydrologyMod.o \ + ../../noahmp/src/SnowWaterMainMod.o \ + ../../noahmp/src/SoilHydraulicPropertyMod.o \ + ../../noahmp/src/SoilMoistureSolverMod.o \ + ../../noahmp/src/SoilWaterDiffusionRichardsMod.o \ + ../../noahmp/src/SoilWaterInfilGreenAmptMod.o \ + ../../noahmp/src/SoilWaterInfilPhilipMod.o \ + ../../noahmp/src/SoilWaterInfilSmithParlangeMod.o \ + ../../noahmp/src/SoilWaterMainMod.o \ + ../../noahmp/src/TileDrainageEquiDepthMod.o \ + ../../noahmp/src/TileDrainageHooghoudtMod.o \ + ../../noahmp/src/TileDrainageSimpleMod.o \ + ../../noahmp/src/WaterMainMod.o \ + ../../noahmp/src/WaterTableDepthSearchMod.o \ + ../../noahmp/src/WaterTableEquilibriumMod.o \ + ../../noahmp/src/IrrigationTriggerMod.o \ + ../../noahmp/src/IrrigationSprinklerMod.o \ + ../../noahmp/src/CanopyWaterInterceptMod.o \ + ../../noahmp/src/PrecipitationHeatAdvectMod.o \ + ../../noahmp/src/SnowThermalPropertyMod.o \ + ../../noahmp/src/SoilThermalPropertyMod.o \ + ../../noahmp/src/GroundThermalPropertyMod.o \ + ../../noahmp/src/EnergyMainMod.o \ + ../../noahmp/src/NoahmpMainMod.o \ + ../../noahmp/src/CanopyRadiationTwoStreamMod.o \ + ../../noahmp/src/GroundAlbedoMod.o \ + ../../noahmp/src/SnowAgingBatsMod.o \ + ../../noahmp/src/SnowAlbedoBatsMod.o \ + ../../noahmp/src/SnowAlbedoClassMod.o \ + ../../noahmp/src/SurfaceAlbedoMod.o \ + ../../noahmp/src/SurfaceRadiationMod.o \ + ../../noahmp/src/HumiditySaturationMod.o \ + ../../noahmp/src/ResistanceAboveCanopyChen97Mod.o \ + ../../noahmp/src/ResistanceAboveCanopyMostMod.o \ + ../../noahmp/src/ResistanceCanopyStomataBallBerryMod.o \ + ../../noahmp/src/ResistanceCanopyStomataJarvisMod.o \ + ../../noahmp/src/ResistanceLeafToGroundMod.o \ + ../../noahmp/src/VaporPressureSaturationMod.o \ + ../../noahmp/src/SurfaceEnergyFluxVegetatedMod.o \ + ../../noahmp/src/ResistanceBareGroundChen97Mod.o \ + ../../noahmp/src/ResistanceBareGroundMostMod.o \ + ../../noahmp/src/SurfaceEnergyFluxBareGroundMod.o \ + ../../noahmp/src/SoilSnowTemperatureMainMod.o \ + ../../noahmp/src/SoilSnowTemperatureSolverMod.o \ + ../../noahmp/src/SoilSnowThermalDiffusionMod.o \ + ../../noahmp/src/SoilSnowWaterPhaseChangeMod.o \ + ../../noahmp/src/SoilWaterSupercoolKoren99Mod.o \ + ../../noahmp/src/SoilWaterSupercoolNiu06Mod.o \ + ../../noahmp/src/SnowCoverGroundNiu07Mod.o \ + ../../noahmp/src/GroundRoughnessPropertyMod.o \ + ../../noahmp/src/SurfaceEmissivityMod.o \ + ../../noahmp/src/PsychrometricVariableMod.o \ + ../../noahmp/src/ResistanceGroundEvaporationMod.o \ + ../../noahmp/src/SoilWaterTranspirationMod.o \ + ../../noahmp/src/AtmosForcingMod.o \ + ../../noahmp/src/PhenologyMainMod.o \ + ../../noahmp/src/BiochemCropMainMod.o \ + ../../noahmp/src/BiochemNatureVegMainMod.o \ + ../../noahmp/src/CarbonFluxCropMod.o \ + ../../noahmp/src/CarbonFluxNatureVegMod.o \ + ../../noahmp/src/CropGrowDegreeDayMod.o \ + ../../noahmp/src/CropPhotosynthesisMod.o \ + ../../noahmp/src/IrrigationPrepareMod.o \ + ../../noahmp/src/BalanceErrorCheckMod.o \ + ../../noahmp/src/GeneralInitMod.o \ + ../../noahmp/src/GroundWaterMmfMod.o \ + ../../noahmp/src/BalanceErrorCheckGlacierMod.o \ + ../../noahmp/src/EnergyMainGlacierMod.o \ + ../../noahmp/src/GeneralInitGlacierMod.o \ + ../../noahmp/src/GlacierIceThermalPropertyMod.o \ + ../../noahmp/src/GlacierPhaseChangeMod.o \ + ../../noahmp/src/GlacierTemperatureMainMod.o \ + ../../noahmp/src/GlacierTemperatureSolverMod.o \ + ../../noahmp/src/GlacierThermalDiffusionMod.o \ + ../../noahmp/src/GroundAlbedoGlacierMod.o \ + ../../noahmp/src/GroundRoughnessPropertyGlacierMod.o \ + ../../noahmp/src/GroundThermalPropertyGlacierMod.o \ + ../../noahmp/src/NoahmpMainGlacierMod.o \ + ../../noahmp/src/PrecipitationHeatAdvectGlacierMod.o \ + ../../noahmp/src/PsychrometricVariableGlacierMod.o \ + ../../noahmp/src/ResistanceGroundEvaporationGlacierMod.o \ + ../../noahmp/src/SnowCoverGlacierMod.o \ + ../../noahmp/src/SnowWaterMainGlacierMod.o \ + ../../noahmp/src/SnowpackHydrologyGlacierMod.o \ + ../../noahmp/src/SurfaceAlbedoGlacierMod.o \ + ../../noahmp/src/SurfaceEmissivityGlacierMod.o \ + ../../noahmp/src/SurfaceEnergyFluxGlacierMod.o \ + ../../noahmp/src/SurfaceRadiationGlacierMod.o \ + ../../noahmp/src/WaterMainGlacierMod.o CMD = hrldas.exe all: $(CMD) @@ -48,14 +191,16 @@ hrldas.exe: $(OBJS) @echo "" echo "${TAO_FORTRAN_LIB} ${TAO_LIB} ${PETSC_LIB} ${PHDF5_INC} -Wl,-rpath,${TACC_HDF5_LIB} -L${TACC_HDF5_LIB} -lhdf5 -lz" # We have to include the modules built in ../IO_code - $(COMPILERF90) -o $(@) -I../IO_code -I../../phys_wrf $(OBJS) $(OBJS_NoahMP) $(HYDRO_LIB) $(RAPID_LIB) $(NETCDFLIB) $(RAPID_MACRO) + $(COMPILERF90) -o $(@) -I../IO_code -I../../urban/wrf -I../../noahmp/src -I../../noahmp/drivers/hrldas \ + -I../../noahmp/utility -I../Utility_routines $(OBJS) $(OBJS_NoahMP) $(HYDRO_LIB) $(RAPID_LIB) $(NETCDFLIB) $(RAPID_MACRO) @echo "" # Template to create the exe file based on different land model. Such as NoahMP NoahMP: $(OBJS) @echo "" - $(COMPILERF90) -o hrldas.exe -I../IO_code -I../../phys_wrf $(OBJS) $(OBJS_NoahMP) $(HYDRO_LIB) $(NETCDFLIB) + $(COMPILERF90) -o hrldas.exe -I../IO_code -I../../urban/wrf -I../../noahmp/src -I../../noahmp/drivers/hrldas \ + -I../../noahmp/utility -I../Utility_routines $(OBJS) $(OBJS_NoahMP) $(HYDRO_LIB) $(NETCDFLIB) @echo "" # This command cleans up diff --git a/hrldas/run/NoahmpTable.TBL b/hrldas/run/NoahmpTable.TBL new file mode 120000 index 0000000..92fe74f --- /dev/null +++ b/hrldas/run/NoahmpTable.TBL @@ -0,0 +1 @@ +../../noahmp/parameters/NoahmpTable.TBL \ No newline at end of file diff --git a/hrldas/run/README.namelist b/hrldas/run/README.namelist index a7c65e1..436e291 100644 --- a/hrldas/run/README.namelist +++ b/hrldas/run/README.namelist @@ -48,7 +48,7 @@ soil_thick_input(3) = 0.60 ! There is a hard-coded maximum of 10 soil_thick_input(4) = 1.00 - ZLVL = 30.0 !*** Height in meters of forcing level [default = none] + ZLVL = 10.0 !*** Height in meters of forcing level [default = none] SF_URBAN_PHYSICS = 0 ! Urban physics option [default = 0 ] ! **0 -> Bulk urban slab scheme @@ -121,8 +121,7 @@ ! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! - DYNAMIC_VEG_OPTION = 4 ! options for dynamic vegetation: [default = none] - + DYNAMIC_VEG_OPTION = 4 ! options for dynamic vegetation [default = 4] ! 1 -> off (use table LAI; use FVEG = SHDFAC from input) ! 2 -> on (together with OPT_CRS = 1) ! 3 -> off (use table LAI; calculate FVEG) @@ -133,20 +132,16 @@ ! 8 -> off (use input LAI; calculate FVEG) ! 9 -> off (use input LAI; use maximum vegetation fraction) - CANOPY_STOMATAL_RESISTANCE_OPTION = 1 ! options for canopy stomatal resistance [default = none] - + CANOPY_STOMATAL_RESISTANCE_OPTION = 1 ! options for canopy stomatal resistance [default = 1] ! **1 -> Ball-Berry ! 2 -> Jarvis - BTR_OPTION = 1 ! options for soil moisture factor for - stomatal resistance [default = none] - + BTR_OPTION = 1 ! options for soil moisture factor for stomatal resistance & transpiration [default = 1] ! **1 -> Noah (soil moisture) ! 2 -> CLM (matric potential) ! 3 -> SSiB (matric potential) - RUNOFF_OPTION = 3 ! options for runoff and groundwater [default = none] - + SURFACE_RUNOFF_OPTION = 3 ! options for surface runoff [default = 3] ! 1 -> TOPMODEL with groundwater (Niu et al. 2007 JGR) ; ! 2 -> TOPMODEL with an equilibrium water table (Niu et al. 2005 JGR) ; ! **3 -> original surface and subsurface runoff (free drainage) @@ -156,114 +151,117 @@ ! 7 -> Xinanjiang Infiltration and surface runoff scheme ((Jayawardena and Zhou, 2000) ! 8 -> Dynamic VIC surface runoff scheme (Liang and Xie, 2001) + SUBSURFACE_RUNOFF_OPTION = 3 ! options for subsurface runoff [default = 3] + ! currently only tested with setting the same option as surface runoff option + ! 1 -> TOPMODEL with groundwater (Niu et al. 2007 JGR) ; + ! 2 -> TOPMODEL with an equilibrium water table (Niu et al. 2005 JGR) ; + ! **3 -> original surface and subsurface runoff (free drainage) + ! 4 -> BATS surface and subsurface runoff (free drainage) + ! 5 -> Miguez-Macho&Fan groundwater scheme (Miguez-Macho et al. 2007 JGR; Fan et al. 2007 JGR) + ! 6 -> Variable Infiltration Capacity Model surface runoff scheme (Wood et al., 1992, JGR) + ! 7 -> Xinanjiang Infiltration and surface runoff scheme ((Jayawardena and Zhou, 2000) + ! 8 -> Dynamic VIC surface runoff scheme (Liang and Xie, 2001) + DVIC_INFILTRATION_OPTION = 1 ! options for infiltration in dynamic VIC runoff scheme (only works when RUNOFF_OPTION=8, default=1) ! **1 -> Philip scheme ! 2 -> Green-Ampt scheme ! 3 -> Smith-Parlange scheme - SURFACE_DRAG_OPTION = 1 ! options for surface layer drag coeff [default = none] - + SURFACE_DRAG_OPTION = 1 ! options for surface layer drag coeff [default = 1] ! **1 -> M-O ! 2 -> original Noah (Chen97) - SUPERCOOLED_WATER_OPTION = 1 ! options for supercooled liquid water - (or ice fraction) [default = none] - + SUPERCOOLED_WATER_OPTION = 1 ! options for supercooled liquid water [default = 1] ! **1 -> no iteration (Niu and Yang, 2006 JHM) ! 2 -> Koren's iteration - FROZEN_SOIL_OPTION = 1 ! options for frozen soil permeability [default = none] - + FROZEN_SOIL_OPTION = 1 ! options for frozen soil permeability [default = 1] ! **1 -> linear effects, more permeable (Niu and Yang, 2006, JHM) ! 2 -> nonlinear effects, less permeable (old) - RADIATIVE_TRANSFER_OPTION = 3 ! options for radiation transfer [default = none] - + RADIATIVE_TRANSFER_OPTION = 3 ! options for radiation transfer [default = 3] ! 1 -> modified two-stream (gap = F(solar angle, 3D structure ...)<1-FVEG) ! 2 -> two-stream applied to grid-cell (gap = 0) ! **3 -> two-stream applied to vegetated fraction (gap=1-FVEG) - SNOW_ALBEDO_OPTION = 1 ! options for ground snow surface albedo [default = none] - + SNOW_ALBEDO_OPTION = 1 ! options for ground snow surface albedo [default = 1] ! 1 -> BATS ! **2 -> CLASS - PCP_PARTITION_OPTION = 1 ! options for partitioning precipitation - into rainfall & snowfall [default = none] + SNOW_THERMAL_CONDUCTIVITY = 1 ! options for snow thermal conductivity [default = 1] + ! **1 -> Stieglitz (Yen,1965) scheme + ! 2 -> Anderson (1976) scheme + ! 3 -> constant + ! 4 -> Verseghy (1991) scheme + ! 5 -> Douvill (Yen, 1981) scheme + PCP_PARTITION_OPTION = 1 ! options for partitioning precipitation into rainfall & snowfall [default = 1] ! **1 -> Jordan (1991) ! 2 -> BATS: when SFCTMP SFCTMP < TFRZ ! 4 -> Use WRF microphysics output ! 5 -> Wet-bulb temperature-based (Wang et al., 2019 GRL) - TBOT_OPTION = 2 ! options for lower boundary condition - of soil temperature [default = none] - + TBOT_OPTION = 2 ! options for lower boundary condition of soil temperature [default = 2] ! 1 -> zero heat flux from bottom (ZBOT and TBOT not used) ! **2 -> TBOT at ZBOT (8m) read from a file (original Noah) - TEMP_TIME_SCHEME_OPTION = 1 ! options for snow/soil temperature - time scheme (only layer 1) [default = none] - + TEMP_TIME_SCHEME_OPTION = 1 ! options for snow/soil temperature time scheme (only layer 1) [default = 1] ! **1 -> semi-implicit; flux top boundary condition ! 2 -> full implicit (original Noah); temperature top boundary condition ! 3 -> same as 1, but FSNO for TS calculation (generally improves snow; v3.7) - SURFACE_RESISTANCE_OPTION = 1 ! options for surface resistent to - evaporation/sublimation [default = none] - + SURFACE_RESISTANCE_OPTION = 1 ! options for surface resistent to evaporation/sublimation [default =1] ! **1 -> Sakaguchi and Zeng, 2009 ! 2 -> Sellers (1992) ! 3 -> adjusted Sellers to decrease RSURF for wet soil ! 4 -> option 1 for non-snow; rsurf = rsurf_snow for snow (set in MPTABLE); AD v3.8 - GLACIER_OPTION = 1 ! options for glacier treatment [default = none] - + GLACIER_OPTION = 1 ! options for glacier treatment [default = 1] ! **1 -> include phase change of ice ! 2 -> ice treatment more like original Noah - SOIL_DATA_OPTION = 1, ! Noah-MP options for defining soil properties [default = 1] - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 1 -> use input dominant soil texture - 2 -> use input soil texture that varies with depth - 3 -> use soil composition (sand, clay, orgm) and pedotransfer functions (OPT_PEDO) - 4 -> use input soil properties (BEXP_3D, SMCMAX_3D, etc.) (not valid in WRF) + SOIL_DATA_OPTION = 1, ! Noah-MP options for defining soil properties [default = 1] + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! **1 -> use input dominant soil texture + ! 2 -> use input soil texture that varies with depth + ! 3 -> use soil composition (sand, clay, orgm) and pedotransfer functions (OPT_PEDO) + ! 4 -> use input soil properties (BEXP_3D, SMCMAX_3D, etc.) (not valid in WRF) PEDOTRANSFER_OPTION = 1, ! Noah-MP options for pedotransfer functions (used when OPT_SOIL = 3) [default = 1] - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 1 -> Saxton and Rawls (2006) - - CROP_OPTION = 0, ! options for crop model [default = 0] - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 0 -> No crop model, will run default dynamic vegetation - 1 -> Liu, et al. 2016 - 2 -> Gecros (Genotype-by-Environment interaction on CROp growth Simulator) Yin and van Laar, 2005 - - IRRIGATION_OPTION = 0, ! options for irrigation scheme [default = 0] - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 0 -> No irrigation - 1 -> Irrigation ON - 2 -> irrigation trigger based on crop season Planting and harvesting dates - 3 -> irrigation trigger based on LAI threshold - - IRRIGATION_METHOD = 0, ! options for irrigation method (only if opt_irr > 0) [default = 0] - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 0 -> method based on geo_em fractions (all three methods are ON) - 1 -> sprinkler method - 2 -> micro/drip irrigation - 3 -> surface flooding + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! 1 -> Saxton and Rawls (2006) + + CROP_OPTION = 0, ! options for crop model [default = 0] + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! 0 -> No crop model, will run default dynamic vegetation + ! 1 -> Liu, et al. 2016 + + IRRIGATION_OPTION = 0, ! options for irrigation scheme [default = 0] + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! 0 -> No irrigation + ! 1 -> Irrigation ON + ! 2 -> irrigation trigger based on crop season Planting and harvesting dates + ! 3 -> irrigation trigger based on LAI threshold + + IRRIGATION_METHOD = 0, ! options for irrigation method (only if opt_irr > 0) [default = 0] + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! 0 -> method based on geo_em fractions (all three methods are ON) + ! 1 -> sprinkler method + ! 2 -> micro/drip irrigation + ! 3 -> surface flooding TILE_DRAINAGE_OPTION = 0, ! options for tile drainage [default = 0] (currently only tested & works with opt_run=3) - geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution - 0 -> No tile drainage - 1 -> Simple drainage - 2 -> Hooghoudt's equation based tile drainage - - SOIL_TIMESTEP_OPTION = 0.0, ! Noah-MP soil process timestep (seconds) for solving soil water and temperature - 0 -> default, the same as main NoahMP model timestep - N * dt_noahmp -> longer than main NoahMP model timestep (often used for WRF coupled run) + ! geogrid must have been run with GEOGRID.TBL.ARW.noahmp, use with caution + ! 0 -> No tile drainage + ! 1 -> Simple drainage + ! 2 -> Hooghoudt's equation based tile drainage + + SOIL_TIMESTEP = 0.0, ! Noah-MP soil process timestep (seconds) for solving soil water and temperature + ! 0 -> default, the same as main NoahMP model timestep + ! N * dt_noahmp -> longer than main NoahMP model timestep (often used for WRF coupled run) + NOAHMP_OUTPUT = 0, ! NoahMP output level - 0 -> standard output - 1 -> standard output with additional water and energy budget term output + ! 0 -> standard output + ! 1 -> standard output with additional water and energy budget term output / diff --git a/hrldas/run/SOILPARM.TBL b/hrldas/run/SOILPARM.TBL deleted file mode 120000 index 178e3cc..0000000 --- a/hrldas/run/SOILPARM.TBL +++ /dev/null @@ -1 +0,0 @@ -../../noahmp/parameters/SOILPARM.TBL \ No newline at end of file diff --git a/hrldas/run/URBPARM.TBL b/hrldas/run/URBPARM.TBL deleted file mode 100644 index dab006d..0000000 --- a/hrldas/run/URBPARM.TBL +++ /dev/null @@ -1,558 +0,0 @@ -# The parameters in this table may vary greatly from city to city. -# The default values are probably not appropriate for any given city. -# Users should adapt these values based on the city they are working -# with. - -# Urban Parameters depending on Urban type -# USGS - -Number of urban categories: 3 - -# -# Where there are multiple columns of values, the values refer, in -# order, to: 1) Low density residential, 2) High density residential, -# and 3) Commercial: I.e.: -# -# Index: 1 2 3 -# Type: Low-dens Res, Hi-dens Res, Commercial -# - -# -# ZR: Roof level (building height) [ m ] -# (sf_urban_physics=1) - -ZR: 5.0, 7.5, 10.0 - -# -# SIGMA_ZED: Standard Deviation of roof height [ m ] -# (sf_urban_physics=1) - -SIGMA_ZED: 1.0, 3.0, 4.0 - -# -# ROOF_WIDTH: Roof (i.e., building) width [ m ] -# (sf_urban_physics=1) - -ROOF_WIDTH: 8.3, 9.4, 10.0 - -# -# ROAD_WIDTH: road width [ m ] -# (sf_urban_physics=1) -# - -ROAD_WIDTH: 8.3, 9.4, 10.0 - -# -# AH: Anthropogenic heat [ W m{-2} ] -# (sf_urban_physics=1) -# - -AH: 20.0, 50.0, 90.0 - - -# -# ALH: Anthropogenic latent heat [ W m{-2} ] -# (sf_urban_physics=1) -# - -ALH: 20.0, 25.0, 40.0 - -# -# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing -# surface layer exchange coefficients. -# (sf_urban_physics=1) - -AKANDA_URBAN: 1.29 1.29 1.29 - -# -# DDZR: Thickness of each roof layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) - - -DDZR: 0.05, 0.05, 0.05, 0.05 - -# -# DDZB: Thickness of each building wall layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZB: 0.05, 0.05, 0.05, 0.05 - -# -# DDZG: Thickness of each ground (road) layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZG: 0.05, 0.25, 0.50, 0.75 - -# -# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDR: 1 - -# -# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDB: 1 - -# -# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDG: 1 - -# -# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] -# (sf_urban_physics=1) -# - -CH_SCHEME: 2 - -# -# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] -# (sf_urban_physics=1) -# - -TS_SCHEME: 1 - -# -# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] -# (sf_urban_physics=1) -# - -AHOPTION: 0 - -# -# Anthropogenic Heating diurnal profile. -# Multiplication factor applied to AH (as defined in the table above) -# Hourly values ( 24 of them ), starting at 01 hours Local Time. -# For sub-hourly model time steps, value changes on the hour and is -# held constant until the next hour. -# (sf_urban_physics=1) -# - -AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 - -# -# ALHOPTION [ 0: No anthropogenic latent heat, 1: Anthropogenic heating will be added to latent heat flux term ] -# (sf_urban_physics=1) -# - -ALHOPTION: 0 - -# -# Anthropogenic latent heat: seasonal coefficient of daily maximum values -# From left to right in order: Spring (MAM), Summer(JJA), Fall(SON), Winter(DJF) -# (sf_urban_physics=1) -# - -ALHSEASON: 0.43 1.00 0.54 0.40 - -# -# Anthropogenic latent heat diurnal profile. -# Multiplication factor applied to seasonal ALH (as defined above) -# Half-hourly values ( 48 of them ), starting at 00:30 hours Local Time. -# (sf_urban_physics=1) -# - -ALHDIUPRF: 0.436 0.421 0.391 0.356 0.311 0.301 0.306 0.295 0.253 0.205 0.177 0.162 0.148 0.121 0.118 0.146 0.210 0.250 0.227 0.162 0.127 0.184 0.306 0.413 0.487 0.559 0.639 0.728 0.754 0.812 0.867 0.969 1.000 0.949 0.840 0.775 0.758 0.756 0.706 0.658 0.637 0.632 0.636 0.633 0.639 0.615 0.553 0.485 - -# Oasis effect -# Multiplication factor applied to potential ET of vegetation in urban areas -# Value should be larger than 1 when actived -# (sf_urban_physics=1) - -OASIS: 1.0 - -# Evaporation scheme for impervious surfaces (for roof, wall, and road) -# [1: Hypothesized evaporation during large rainfall events (Original) -# [2: Water-holding scheme over impervious surface, Yang et al., 2014 -# (sf_urban_physics=1) - -IMP_SCHEME: 1 - -# Porosity of pavement materials on impervious surface -# For calculating latent heat flux over impervious surface -# From left to right in order: roof, wall, road -# (sf_urban_physics=1,IMP_SCHEME=2) -# - -PORIMP: 0.45 0.45 0.45 - -# Maximum water-holding depth of pavement materials on impervious surface [m] -# For calculating latent heat flux over impervious surface -# From left to right in order: roof, wall, road -# (sf_urban_physics=1,IMP_SCHEME=2) -# - -DENGIMP: 0.001 0.0002 0.001 - -# Urban irrigation scheme, for vegetation in urban area and green roof -# [0: No irrigation -# [1: Summertime (May-Sep) irrigation everyday at 9pm -# (sf_urban_physics=1) - -IRI_SCHEME: 0 - -# -# GROPTION [ 0: No green roof, 1: Enable green roof simulation] -# (sf_urban_physics=1) -# - -GROPTION: 0 - -# Surface fraction of green roof over urban rooftop (0-1) -# (sf_urban_physics=1) -# - -FGR: 0.0 - -# -# DZGR: Thickness of each layer on green roof [ m ] -# Green roof structure: 4-layers -# 1: Top Soil layer 2:Soil layer 3: Growing Medium layer -# 4: concrete roof (depth depends on DDZR defined earlier in this table) -# (sf_urban_physics=1) - -DZGR: 0.05 0.10 0.15 0.20 - -# -# FRC_URB: Fraction of the urban landscape which does not have natural -# vegetation. [ Fraction ] -# (sf_urban_physics=1,2,3) -# - -FRC_URB: 0.5, 0.9, 0.95 - -# -# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPR: 1.0E6, 1.0E6, 1.0E6, - -# -# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPB: 1.0E6, 1.0E6, 1.0E6, - -# -# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPG: 1.4E6, 1.4E6, 1.4E6, - -# -# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSR: 0.67, 0.67, 0.67, - -# -# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSB: 0.67, 0.67, 0.67, - -# -# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSG: 0.4004, 0.4004, 0.4004, - -# -# ALBR: Surface albedo of roof [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBR: 0.20, 0.20, 0.20 - -# -# ALBB: Surface albedo of building wall [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBB: 0.20, 0.20, 0.20 - -# -# ALBG: Surface albedo of ground (road) [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBG: 0.20, 0.20, 0.20 - -# -# EPSR: Surface emissivity of roof [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSR: 0.90, 0.90, 0.90 - -# -# EPSB: Surface emissivity of building wall [-] -# (sf_urban_physics=1,2,3) -# - -EPSB: 0.90, 0.90, 0.90 - -# -# EPSG: Surface emissivity of ground (road) [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSG: 0.95, 0.95, 0.95 - -# -# Z0B: Roughness length for momentum, over building wall [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1) -# - -Z0B: 0.0001, 0.0001, 0.0001 - -# -# Z0G: Roughness length for momentum, over ground (road) [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1,2,3) -# - -Z0G: 0.01, 0.01, 0.01 - -# -# Z0R: Roughness length for momentum over roof [ m ] -# (sf_urban_physics=2,3) -# - -Z0R: 0.01, 0.01, 0.01 - -# -# TRLEND: Lower boundary condition for roof temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TRLEND: 293.00, 293.00, 293.00 - -# -# TBLEND: Lower boundary temperature for building wall temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TBLEND: 293.00, 293.00, 293.00 - -# -# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TGLEND: 293.00, 293.00, 293.00 - -# -# COP: Coefficient of performance of the A/C systems [ - ] -# (sf_urban_physics=3) -# - -COP: 3.5, 3.5, 3.5 - -# -# BLDAC_FRC: fraction of buildings installed with A/C systems [ - ] -# (sf_urban_physics=3) -# - -BLDAC_FRC: 1.0, 1.0, 1.0 - -# -# COOLED_FRC: fraction of cooled floor area in buildings [ - ] -# (sf_urban_physics=3) -# -COOLED_FRC: 1.0, 1.0, 1.0 - -# -# PWIN: Coverage area fraction of windows in the walls of the building [ - ] -# (sf_urban_physics=3) -# - -PWIN: 0.2, 0.2, 0.2 - -# -# BETA: Thermal efficiency of heat exchanger -# (sf_urban_physics=3) -# - -BETA: 0.75, 0.75, 0.75 - -# -# SW_COND: Air conditioning switch, 1=ON -# (sf_urban_physics=3) -# - -SW_COND: 1, 1, 1 - -# -# TIME_ON: Initial local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_ON: 0., 0., 0. - -# -# TIME_OFF: End local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_OFF: 24., 24., 24. - -# -# TARGTEMP: Target Temperature of the A/C systems, [ K ] -# (sf_urban_physics=3) -# - -TARGTEMP: 298., 298., 297. - -# -# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] -# (sf_urban_physics=3) -# - -GAPTEMP: 0.5, 0.5, 0.5 - -# -# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -TARGHUM: 0.005, 0.005, 0.005 - -# -# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -GAPHUM: 0.005, 0.005, 0.005 - -# -# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] -# (sf_urban_physics=3) -# - -PERFLO: 0.01, 0.01, 0.02 - -# -# HSEQUIP: Diurnal heating profile of heat generated by equipments -# (sf_urban_physics=3) -# - -HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 - -# -# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] -# (sf_urban_physics=3) -# - -HSEQUIP_SCALE_FACTOR: 16.00, 20.00, 36.00 - -# -# GR_FLAG: 1 to switch on green roof model (0-1) -# (sf_urban_physics=3) -# - -GR_FLAG:0 - -# -# GR_TYPE: 1 for GRASS, 2 for SEDUM vegetation on the green roof -# (sf_urban_physics=3) -# - -GR_TYPE: 2 - -# -# GR_FRAC_ROOF: fraction of green roof over the roof (0:1) -# (sf_urban_physics=3) -# - -GR_FRAC_ROOF:0,0,0 - -# -# HSEQUIP: Diurnal profile of sprinkler irrigation for the green roof -# (sf_urban_physics=3) -# - -IRHO:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 - - -# -# PV_FRAC_ROOF: fraction of photovoltaic panels over the roof (0:1) -# (sf_urban_physics=3) -# - -PV_FRAC_ROOF: 0,0,0 - - - - -STREET PARAMETERS: -# (sf_urban_physics=2,3) - -# urban street street building -# category direction width width -# [index] [deg from N] [m] [m] - - 1 0.0 30. 13. - 1 90.0 30. 13. - 2 0.0 25. 17. - 2 90.0 25. 17. - 3 0.0 20. 20. - 3 90.0 20. 20. - -END STREET PARAMETERS - -BUILDING HEIGHTS: 1 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 15.0 - 10.0 70.0 - 15.0 15.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 2 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 0.0 - 10.0 20.0 - 15.0 60.0 - 20.0 20.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 3 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 0.0 - 10.0 0.0 - 15.0 10.0 - 20.0 25.0 - 25.0 40.0 - 30.0 25.0 - 35.0 0.0 -END BUILDING HEIGHTS diff --git a/hrldas/run/URBPARM.TBL b/hrldas/run/URBPARM.TBL new file mode 120000 index 0000000..0386394 --- /dev/null +++ b/hrldas/run/URBPARM.TBL @@ -0,0 +1 @@ +../../urban/wrf/URBPARM.TBL \ No newline at end of file diff --git a/hrldas/run/URBPARM_LCZ.TBL b/hrldas/run/URBPARM_LCZ.TBL deleted file mode 100644 index 51d7bb2..0000000 --- a/hrldas/run/URBPARM_LCZ.TBL +++ /dev/null @@ -1,647 +0,0 @@ -# The parameters in this table may vary greatly from city to city. -# The default values are probably not appropriate for any given city. -# Users should adapt these values based on the city they are working -# with. - -# Urban Parameters depending on Urban type -# USGS - -Number of urban categories: 11 - -# -# Where there are multiple columns of values, the values refer, in -# order, to: 1) Commercial, 2) High intensity residential, and 3) Low -# intensity residential: I.e.: -# -# Index: 1 2 3 4 5 6 7 8 9 10 11 -# Type: Comp High-Rise, Comp Mid-Rise, Comp Low-Rise, Op H-Rise, Op M-Rise, Op L-Rise, Lightweight L-Rise, Large L-Rise, Sparsely Built, Heavy Indus Asphalt - -# -# ZR: Roof level (building height) [ m ] -# (sf_urban_physics=1) - -ZR: 37.5, 17.5, 6.5, 37.5, 17.5, 6.5, 3., 6.5, 6.5, 10., 10. - -# -# SIGMA_ZED: Standard Deviation of roof height [ m ] -# (sf_urban_physics=1) - -SIGMA_ZED: 4.0, 3.0, 1.0, 1., 1., 1., 1., 1., 1., 1., 1. - -# -# ROOF_WIDTH: Roof (i.e., building) width [ m ] -# (sf_urban_physics=1) - -ROOF_WIDTH: 31.7, 25.7, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 10. - -# -# ROAD_WIDTH: road width [ m ] -# (sf_urban_physics=1) -# - -ROAD_WIDTH: 98.9, 39.2, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0 - -# -# AH: Anthropogenic heat [ W m{-2} ] -# (sf_urban_physics=1) -# - -AH: 175.0, 37.5, 37.5, 25.0, 12.5, 12.5, 17.5, 25.0, 5.0, 350.0, 350.0 - - -# -# ALH: Anthropogenic latent heat [ W m{-2} ] -# (sf_urban_physics=1) -# - -ALH: 20.0, 25.0, 40.0,20.0, 25.0, 40.0,20.0, 25.0, 40.0,20.0, 25.0 - -# -# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing -# surface layer exchange coefficients. -# (sf_urban_physics=1) - -AKANDA_URBAN: 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 - -# -# DDZR: Thickness of each roof layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) - - -DDZR: 0.05, 0.05, 0.05, 0.05 - -# -# DDZB: Thickness of each building wall layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZB: 0.05, 0.05, 0.05, 0.05 - -# -# DDZG: Thickness of each ground (road) layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZG: 0.05, 0.25, 0.50, 0.75 - -# -# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDR: 1 - -# -# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDB: 1 - -# -# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDG: 1 - -# -# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] -# (sf_urban_physics=1) -# - -CH_SCHEME: 2 - -# -# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] -# (sf_urban_physics=1) -# - -TS_SCHEME: 1 - -# -# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] -# (sf_urban_physics=1) -# - -AHOPTION: 0 - -# -# Anthropogenic Heating diurnal profile. -# Multiplication factor applied to AH (as defined in the table above) -# Hourly values ( 24 of them ), starting at 01 hours Local Time. -# For sub-hourly model time steps, value changes on the hour and is -# held constant until the next hour. -# (sf_urban_physics=1) -# - -AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 - -# -# ALHOPTION [ 0: No anthropogenic latent heat, 1: Anthropogenic heating will be added to latent heat flux term ] -# (sf_urban_physics=1) -# - -ALHOPTION: 0 - -# -# Anthropogenic latent heat: seasonal coefficient of daily maximum values -# From left to right in order: Spring (MAM), Summer(JJA), Fall(SON), Winter(DJF) -# (sf_urban_physics=1) -# - -ALHSEASON: 0.43 1.00 0.54 0.40 - -# -# Anthropogenic latent heat diurnal profile. -# Multiplication factor applied to seasonal ALH (as defined above) -# Half-hourly values ( 48 of them ), starting at 00:30 hours Local Time. -# (sf_urban_physics=1) -# - -ALHDIUPRF: 0.436 0.421 0.391 0.356 0.311 0.301 0.306 0.295 0.253 0.205 0.177 0.162 0.148 0.121 0.118 0.146 0.210 0.250 0.227 0.162 0.127 0.184 0.306 0.413 0.487 0.559 0.639 0.728 0.754 0.812 0.867 0.969 1.000 0.949 0.840 0.775 0.758 0.756 0.706 0.658 0.637 0.632 0.636 0.633 0.639 0.615 0.553 0.485 - -# Oasis effect -# Multiplication factor applied to potential ET of vegetation in urban areas -# Value should be larger than 1 when actived -# (sf_urban_physics=1) - -OASIS: 1.0 - -# Evaporation scheme for impervious surfaces (for roof, wall, and road) -# [1: Hypothesized evaporation during large rainfall events (Original) -# [2: Water-holding scheme over impervious surface, Yang et al., 2014 -# (sf_urban_physics=1) - -IMP_SCHEME: 1 - -# Porosity of pavement materials on impervious surface -# For calculating latent heat flux over impervious surface -# From left to right in order: roof, wall, road -# (sf_urban_physics=1,IMP_SCHEME=2) -# - -PORIMP: 0.45 0.45 0.45 - -# Maximum water-holding depth of pavement materials on impervious surface [m] -# For calculating latent heat flux over impervious surface -# From left to right in order: roof, wall, road -# (sf_urban_physics=1,IMP_SCHEME=2) -# - -DENGIMP: 0.001 0.0002 0.001 - -# Urban irrigation scheme, for vegetation in urban area and green roof -# [0: No irrigation -# [1: Summertime (May-Sep) irrigation everyday at 9pm -# (sf_urban_physics=1) - -IRI_SCHEME: 0 - -# -# GROPTION [ 0: No green roof, 1: Enable green roof simulation] -# (sf_urban_physics=1) -# - -GROPTION: 0 - -# Surface fraction of green roof over urban rooftop (0-1) -# (sf_urban_physics=1) -# - -FGR: 0.0 - -# -# DZGR: Thickness of each layer on green roof [ m ] -# Green roof structure: 4-layers -# 1: Top Soil layer 2:Soil layer 3: Growing Medium layer -# 4: concrete roof (depth depends on DDZR defined earlier in this table) -# (sf_urban_physics=1) - -DZGR: 0.05 0.10 0.15 0.20 - -# -# FRC_URB: Fraction of the urban landscape which does not have natural -# vegetation. [ Fraction ] -# (sf_urban_physics=1,2,3) -# - -FRC_URB: 1.00, 0.99, 1.00, 0.65, 0.7, 0.65, 0.3, 0.85, 0.3, 0.55, 1.00 -# -# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPR: 1.32E6,1.32E6,1.32E6, 1.8E6, 1.32E6, 1.32E6, 2.0E6, 2.11E6, 1.32E6, 2.0E6, 1.94E6 - -# -# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPB: 1.54E6,1.54E6,1.54E6, 2.0E6, 1.54E6, 1.54E6, 2.0E6, 2.11E6, 1.54E6, 1.59E6, 1.94E6 - -# -# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPG: 1.74E6,1.74E6,1.74E6, 1.54E6, 1.94E6, 1.94E6, 1.74E6, 1.94E6, 1.47E6, 1.49E6, 1.94E6 - -# -# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSR: 1.54,1.54,1.54, 1.25, 1.54, 1.54, 0.35, 1.51, 1.00, 2.00, 0.75 - -# -# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSB: 1.51,1.51,1.51, 1.45, 1.51, 1.51,0.35,1.51,1.51, 1.33, 0.75 - -# -# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSG: 0.82, 0.82, 0.82, 0.64, 0.82, 0.82, 0.82, 0.82, 0.60, 0.75, 0.75 - -# -# ALBR: Surface albedo of roof [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBR: 0.30, 0.30, 0.30, 0.30, 0.30, 0.30, 0.70, 0.30, 0.30, 0.30, 0.12 - -# -# ALBB: Surface albedo of building wall [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBB: 0.35, 0.35, 0.35, 0.35, 0.35, 0.35, 0.70, 0.35, 0.35, 0.35, 0.12 - -# -# ALBG: Surface albedo of ground (road) [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBG: 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15 - -# -# EPSR: Surface emissivity of roof [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSR: 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.93 - -# -# EPSB: Surface emissivity of building wall [-] -# (sf_urban_physics=1,2,3) -# - -EPSB: 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.93, 0.90, 0.90, 0.93 - -# -# EPSG: Surface emissivity of ground (road) [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSG: 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95 - -# -# Z0B: Roughness length for momentum, over building wall [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1) -# - -Z0B: 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001 - - -# -# Z0G: Roughness length for momentum, over ground (road) [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1,2,3) -# - -Z0G: 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01 - - -# -# Z0R: Roughness length for momentum over roof [ m ] -# (sf_urban_physics=2,3) -# - -Z0R: 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01 - - -# -# TRLEND: Lower boundary condition for roof temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TRLEND: 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00 - -# -# TBLEND: Lower boundary temperature for building wall temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TBLEND: 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00 - -# -# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TGLEND: 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00 -# -# COP: Coefficient of performance of the A/C systems [ - ] -# (sf_urban_physics=3) -# - -COP: 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5 -# -# BLDAC_FRC: fraction of buildings installed with A/C systems [ - ] -# (sf_urban_physics=3) -# - -BLDAC_FRC: 1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0 - -# -# COOLED_FRC: fraction of cooled floor area in buildings [ - ] -# (sf_urban_physics=3) -# -COOLED_FRC: 1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0 - - -# -# PWIN: Coverage area fraction of windows in the walls of the building [ - ] -# (sf_urban_physics=3) -# - -PWIN: 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.9, 0.2, 0.2, 0.2, 0.0 - -# -# BETA: Thermal efficiency of heat exchanger -# (sf_urban_physics=3) -# - -BETA: 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75 - -# -# SW_COND: Air conditioning switch, 1=ON -# (sf_urban_physics=3) -# - -SW_COND: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 - -# -# TIME_ON: Initial local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_ON: 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0. - -# -# TIME_OFF: End local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_OFF: 24., 24., 24., 24., 24., 24., 24., 24., 24., 24., 24. - -# -# TARGTEMP: Target Temperature of the A/C systems, [ K ] -# (sf_urban_physics=3) -# - -TARGTEMP: 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15 - -# -# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] -# (sf_urban_physics=3) -# - -GAPTEMP: 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5 - -# -# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -TARGHUM: 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005 - -# -# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -GAPHUM: 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005 -# -# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] -# (sf_urban_physics=3) -# - -PERFLO: 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.00 - - -# -# HSEQUIP: Diurnal heating profile of heat generated by equipments -# (sf_urban_physics=3) -# - -HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 - -# -# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] -# (sf_urban_physics=3) -# - -HSEQUIP_SCALE_FACTOR: 36.00, 20.00, 20.00, 36.00, 20.00, 20.00, 20.00, 36.00, 20.00, 20.00, 20.00 - - -# -# GR_FLAG: 1 to switch on green roof model (0-1) -# (sf_urban_physics=3) -# - -GR_FLAG:0 - -# -# GR_TYPE: 1 for GRASS, 2 for SEDUM vegetation on the green roof -# (sf_urban_physics=3) -# - -GR_TYPE: 2 - -# -# GR_FRAC_ROOF: fraction of green roof over the roof (0:1) -# (sf_urban_physics=3) -# - -GR_FRAC_ROOF:0,0,0,0,0,0,0,0,0,0,0 - -# -# HSEQUIP: Diurnal profile of sprinkler irrigation for the green roof -# (sf_urban_physics=3) -# - -IRHO:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 - - -# -# PV_FRAC_ROOF: fraction of photovoltaic panels over the roof (0:1) -# (sf_urban_physics=3) -# - -PV_FRAC_ROOF: 0,0,0,0,0,0,0,0,0,0,0 - - -STREET PARAMETERS: - -# (sf_urban_physics=2,3) - -# urban street street building -# category direction width width -# [index] [deg from N] [m] [m] - - 1 0.0 15. 12. - 1 90.0 15. 12. - 2 0.0 10. 20. - 2 90.0 10. 20. - 3 0.0 5.7 9. - 3 90.0 5.7 9. - 4 0.0 30.0 20. - 4 90.0 30.0 20. - 5 0.0 20.0 20. - 5 90.0 20.0 20. - 6 0.0 12.4 10.5 - 6 90.0 12.4 10.5 - 7 0.0 10. 20. - 7 90.0 10. 20. - 8 0.0 32.5 28.8 - 8 90.0 32.5 28.8 - 9 0.0 10. 10. - 9 90.0 10. 10. - 10 0.0 28.5 23.8 - 10 90.0 28.5 23.8 - 11 0.0 100. 5. - 11 90.0 100. 5. - -END STREET PARAMETERS - -BUILDING HEIGHTS: 1 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 21.0 100.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 2 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 9.0 25.0 - 15.0 45.0 - 18.0 20.0 - 21.0 10.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 3 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 6.0 55.0 - 9.0 45.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 4 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 24.0 100.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 5 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 9.0 10.0 - 15.0 25.0 - 21.0 40.0 - 24.0 25.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 6 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 6.0 30.0 - 9.0 40.0 - 15.0 30.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 7 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 100.0 - 9.0 0.0 - 15.0 0.0 - 21.0 0.0 - 24.0 0.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 8 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 6.0 35.0 - 9.0 65.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 9 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 6.0 75.0 - 9.0 25.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 10 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 3.0 10.0 - 9.0 60.0 - 15.0 30.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 11 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 6.0 100.0 - -END BUILDING HEIGHTS - - diff --git a/hrldas/run/URBPARM_LCZ.TBL b/hrldas/run/URBPARM_LCZ.TBL new file mode 120000 index 0000000..015ee73 --- /dev/null +++ b/hrldas/run/URBPARM_LCZ.TBL @@ -0,0 +1 @@ +../../urban/wrf/URBPARM_LCZ.TBL \ No newline at end of file diff --git a/hrldas/run/URBPARM_UZE.TBL b/hrldas/run/URBPARM_UZE.TBL deleted file mode 100644 index e1ea264..0000000 --- a/hrldas/run/URBPARM_UZE.TBL +++ /dev/null @@ -1,415 +0,0 @@ -# The parameters in this table may vary greatly from city to city. -# The default values are probably not appropriate for any given city. -# Users should adapt these values based on the city they are working -# with. - -# Urban Parameters depending on Urban type -# USGS - -Number of urban categories: 3 - -# -# Where there are multiple columns of values, the values refer, in -# order, to: 1) UZE High-density urban zone, 2) UZE medium-density -# urban zone, and 3) UZE Low-density urban zone: I.e.: -# -# Index: 1 2 3 -# UZE Urban Zone: Low Dens, Med Dens, High Dens -# - -# -# ZR: Roof level (building height) [ m ] -# (sf_urban_physics=1) - -ZR: 6.0, 15.0, 18.0 - -# -# SIGMA_ZED: Standard Deviation of roof height [ m ] -# (sf_urban_physics=1) - -SIGMA_ZED: 1.0, 1.5, 3.0 - -# -# ROOF_WIDTH: Roof (i.e., building) width [ m ] -# (sf_urban_physics=1) - -ROOF_WIDTH: 8.0, 20.0, 22.0 - -# -# ROAD_WIDTH: road width [ m ] -# (sf_urban_physics=1) -# - -ROAD_WIDTH: 15.0, 10.0, 8.0 - -# -# AH: Anthropogenic heat [ W m{-2} ] -# (sf_urban_physics=1) -# - -AH: 20.0, 50.0, 90.0 - -# -# FRC_URB: Fraction of the urban landscape which does not have natural -# vegetation. [ Fraction ] -# (sf_urban_physics=1,2,3) -# - -FRC_URB: 0.5, 0.6, 0.75 - -# -# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPR: 1.0E6, 1.2E6, 1.5E6, - -# -# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPB: 1.2E6, 1.2E6, 1.4E6, - -# -# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -CAPG: 1.5E6, 1.5E6, 1.5E6, - -# -# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSR: 0.4, 0.4, 0.8, - -# -# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSB: 1.0, 1.0, 1.0, - -# -# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] -# (sf_urban_physics=1,2,3) -# - -AKSG: 0.8, 0.8, 0.8, - -# -# ALBR: Surface albedo of roof [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBR: 0.15, 0.10, 0.10 - -# -# ALBB: Surface albedo of building wall [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBB: 0.10, 0.10, 0.10 - -# -# ALBG: Surface albedo of ground (road) [ fraction ] -# (sf_urban_physics=1,2,3) -# - -ALBG: 0.15, 0.15, 0.15 - -# -# EPSR: Surface emissivity of roof [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSR: 0.85, 0.85, 0.85 - -# -# EPSB: Surface emissivity of building wall [-] -# (sf_urban_physics=1,2,3) -# - -EPSB: 0.90, 0.90, 0.90 - -# -# EPSG: Surface emissivity of ground (road) [ - ] -# (sf_urban_physics=1,2,3) -# - -EPSG: 0.95, 0.95, 0.95 - -# -# Z0B: Roughness length for momentum, over building wall [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1) -# - -Z0B: 0.0001, 0.0001, 0.0001 - -# -# Z0G: Roughness length for momentum, over ground (road) [ m ] -# Only active for CH_SCHEME == 1 -# (sf_urban_physics=1,2,3) -# - -Z0G: 0.01, 0.01, 0.01 - -# -# Z0R: Roughness length for momentum over roof [ m ] -# (sf_urban_physics=2,3) -# - -Z0R: 0.01, 0.01, 0.01 - -# -# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing -# surface layer exchange coefficients. -# (sf_urban_physics=1) - -AKANDA_URBAN: 1.29 1.29 1.29 - -# -# COP: Coefficient of performance of the A/C systems [ - ] -# (sf_urban_physics=3) -# - -COP: 3.5, 3.5, 3.5 - -# -# PWIN: Coverage area fraction of windows in the walls of the building [ - ] -# (sf_urban_physics=3) -# - -PWIN: 0.2, 0.2, 0.2 - -# -# BETA: Thermal efficiency of heat exchanger -# (sf_urban_physics=3) -# - -BETA: 0.75, 0.75, 0.75 - -# -# SW_COND: Air conditioning switch, 1=ON -# (sf_urban_physics=3) -# - -SW_COND: 1, 1, 1 - -# -# TIME_ON: Initial local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_ON: 0., 0., 0. - -# -# TIME_OFF: End local time of A/C systems, [ h ] -# (sf_urban_physics=3) -# - -TIME_OFF: 24., 24., 24. - -# -# TARGTEMP: Target Temperature of the A/C systems, [ K ] -# (sf_urban_physics=3) -# - -TARGTEMP: 298., 298., 297. - -# -# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] -# (sf_urban_physics=3) -# - -GAPTEMP: 0.5, 0.5, 0.5 - -# -# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -TARGHUM: 0.005, 0.005, 0.005 - -# -# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] -# (sf_urban_physics=3) -# - -GAPHUM: 0.005, 0.005, 0.005 - -# -# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] -# (sf_urban_physics=3) -# - -PERFLO: 0.01, 0.01, 0.02 - -# -# HSEQUIP: Diurnal heating profile of heat generated by equipments -# (sf_urban_physics=3) -# - -HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 - -# -# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] -# (sf_urban_physics=3) -# - -HSEQUIP_SCALE_FACTOR: 16.00, 20.00, 36.00 - -STREET PARAMETERS: -# (sf_urban_physics=2,3) - -# urban street street building -# category direction width width -# [index] [deg from N] [m] [m] - - 1 0.0 30. 13. - 1 90.0 30. 13. - 2 0.0 25. 17. - 2 90.0 25. 17. - 3 0.0 20. 20. - 3 90.0 20. 20. - -END STREET PARAMETERS - -BUILDING HEIGHTS: 1 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 15.0 - 10.0 70.0 - 15.0 15.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 2 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 0.0 - 10.0 20.0 - 15.0 60.0 - 20.0 20.0 -END BUILDING HEIGHTS - -BUILDING HEIGHTS: 3 -# (sf_urban_physics=2,3) - -# height Percentage -# [m] [%] - 5.0 0.0 - 10.0 0.0 - 15.0 10.0 - 20.0 25.0 - 25.0 40.0 - 30.0 25.0 - 35.0 0.0 -END BUILDING HEIGHTS -# -# DDZR: Thickness of each roof layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) - - -DDZR: 0.05, 0.05, 0.05, 0.05 - -# -# DDZB: Thickness of each building wall layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZB: 0.05, 0.05, 0.05, 0.05 - -# -# DDZG: Thickness of each ground (road) layer [ m ] -# This is currently NOT a function urban type, but a function -# of the number of layers. Number of layers must be 4, for now. -# (sf_urban_physics=1) -# - -DDZG: 0.05, 0.25, 0.50, 0.75 - -# -# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDR: 1 - -# -# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDB: 1 - -# -# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] -# (sf_urban_physics=1) -# - -BOUNDG: 1 - -# -# TRLEND: Lower boundary condition for roof temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TRLEND: 293.00, 293.00, 293.00 - -# -# TBLEND: Lower boundary temperature for building wall temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TBLEND: 293.00, 293.00, 293.00 - -# -# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] -# (sf_urban_physics=1,2,3) -# - -TGLEND: 293.00, 293.00, 293.00 - -# -# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] -# (sf_urban_physics=1) -# - -CH_SCHEME: 2 - -# -# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] -# (sf_urban_physics=1) -# - -TS_SCHEME: 1 - -# -# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] -# (sf_urban_physics=1) -# - -AHOPTION: 0 - -# -# Anthropogenic Heating diurnal profile. -# Multiplication factor applied to AH (as defined in the table above) -# Hourly values ( 24 of them ), starting at 01 hours Local Time. -# For sub-hourly model time steps, value changes on the hour and is -# held constant until the next hour. -# (sf_urban_physics=1) -# -# - -AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 diff --git a/hrldas/run/URBPARM_UZE.TBL b/hrldas/run/URBPARM_UZE.TBL new file mode 120000 index 0000000..b4209e7 --- /dev/null +++ b/hrldas/run/URBPARM_UZE.TBL @@ -0,0 +1 @@ +../../urban/wrf/URBPARM_UZE.TBL \ No newline at end of file diff --git a/hrldas/run/namelist.hrldas_example b/hrldas/run/namelist.hrldas_example new file mode 100644 index 0000000..35060fb --- /dev/null +++ b/hrldas/run/namelist.hrldas_example @@ -0,0 +1,76 @@ +&NOAHLSM_OFFLINE + + HRLDAS_SETUP_FILE = "/glade/scratch/cenlinhe/NoahMP_NLDAS/HRLDAS_setup_2000010100_d1" + INDIR = "/glade/scratch/cenlinhe/NoahMP_NLDAS/forcing/" + OUTDIR = "/glade/scratch/cenlinhe/test/hrldas_output/refac_hrldas_noge2/" + + START_YEAR = 2000 + START_MONTH = 01 + START_DAY = 01 + START_HOUR = 00 + START_MIN = 00 + +! RESTART_FILENAME_REQUESTED = "/glade/scratch/cenlinhe/test/hrldas_output/v44test/RESTART.2009100100_DOMAIN1" + + KDAY = 365 + SPINUP_LOOPS = 0 + + FORCING_NAME_T = "T2D" + FORCING_NAME_Q = "Q2D" + FORCING_NAME_U = "U2D" + FORCING_NAME_V = "V2D" + FORCING_NAME_P = "PSFC" + FORCING_NAME_LW = "LWDOWN" + FORCING_NAME_SW = "SWDOWN" + FORCING_NAME_PR = "PRCP" + + DYNAMIC_VEG_OPTION = 4 + CANOPY_STOMATAL_RESISTANCE_OPTION = 1 + BTR_OPTION = 1 + SURFACE_RUNOFF_OPTION = 3 + SUBSURFACE_RUNOFF_OPTION = 3 + DVIC_INFILTRATION_OPTION = 1 + SURFACE_DRAG_OPTION = 1 + FROZEN_SOIL_OPTION = 1 + SUPERCOOLED_WATER_OPTION = 1 + RADIATIVE_TRANSFER_OPTION = 3 + SNOW_ALBEDO_OPTION = 2 + PCP_PARTITION_OPTION = 1 + SNOW_THERMAL_CONDUCTIVITY = 1 + TBOT_OPTION = 2 + TEMP_TIME_SCHEME_OPTION = 1 + GLACIER_OPTION = 1 + SURFACE_RESISTANCE_OPTION = 1 + SOIL_DATA_OPTION = 1 + PEDOTRANSFER_OPTION = 1 + CROP_OPTION = 0 + IRRIGATION_OPTION = 0 + IRRIGATION_METHOD = 0 + TILE_DRAINAGE_OPTION = 0 + + FORCING_TIMESTEP = 3600 + NOAH_TIMESTEP = 1800 + OUTPUT_TIMESTEP = 3600 + + SPLIT_OUTPUT_COUNT = 1 + SKIP_FIRST_OUTPUT = .false. + RESTART_FREQUENCY_HOURS = 24 + +! XSTART = 40 +! XEND = 380 +! YSTART = 77 +! YEND = 201 + + NSOIL=4 + soil_thick_input(1) = 0.10 + soil_thick_input(2) = 0.30 + soil_thick_input(3) = 0.60 + soil_thick_input(4) = 1.00 + + ZLVL = 10.0 + + SF_URBAN_PHYSICS = 0 + USE_WUDAPT_LCZ = 0 + +/ + diff --git a/hrldas/user_build_options b/hrldas/user_build_options new file mode 100644 index 0000000..ba9731e --- /dev/null +++ b/hrldas/user_build_options @@ -0,0 +1,24 @@ + +#============================================================================================= +# Options for Linux with Intel Fortran MPI +#============================================================================================= + + COMPILERF90 = mpif90 + MPPFLAG = YES + FREESOURCE = -free + F90FLAGS = -convert big_endian -g -O0 -fpe0 + MODFLAG = -I ../MPP + HYDRO_LIB = ../MPP/mpp_land.o ../MPP/CPL_WRF.o + LDFLAGS = + CPP = cpp + CPPFLAGS = -P -traditional -DMPP_LAND # -DSPATIAL_SOIL + LIBS = + LIBJASPER = -ljasper + INCJASPER = -I/usr/include/jasper + NETCDFMOD = -I/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/include + NETCDFLIB = -L/glade/u/apps/ch/opt/netcdf/4.8.1/intel/19.1.1/lib -lnetcdf -lnetcdff + BZIP2 = NO + BZIP2_INCLUDE = -I/usr/include + BZIP2_LIB = -L/usr/lib64 -lbz2 + RM = rm -f + CC = cc diff --git a/noahmp b/noahmp index 7ee673e..0336915 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 7ee673e88cc7a4351be329d92809a0c1ce027053 +Subproject commit 03369155d7fe367a706312757c796373eaed9884 diff --git a/phys_wrf/Makefile b/phys_wrf/Makefile deleted file mode 100644 index 8b09cf7..0000000 --- a/phys_wrf/Makefile +++ /dev/null @@ -1,54 +0,0 @@ -# Makefile -# -.SUFFIXES: -.SUFFIXES: .o .F - -include ../hrldas/user_build_options - -OBJS = \ - module_bep_bem_helper.o \ - module_sf_noahmpdrv.o \ - module_sf_noahmplsm.o \ - module_sf_noahmp_glacier.o \ - module_sf_noahmp_groundwater.o \ - module_sf_gecros.o \ - module_sf_urban.o \ - module_sf_bep.o \ - module_sf_bem.o \ - module_sf_bep_bem.o - -CPPHRLDAS = -D_HRLDAS_OFFLINE_ - -all: $(OBJS) - -module_sf_noahmplsm.o: ../noahmp/src/module_sf_noahmplsm.F - @echo "" - $(RM) module_sf_noahmplsm.f90 - $(CPP) $(CPPFLAGS) $(CPPHRLDAS) ../noahmp/src/module_sf_noahmplsm.F > module_sf_noahmplsm.f90 - $(COMPILERF90) -o $(@) -c $(F90FLAGS) $(FREESOURCE) module_sf_noahmplsm.f90 - @echo "" - -.F.o: - @echo "" - $(RM) $(*).f90 - $(CPP) $(CPPFLAGS) $(CPPHRLDAS) $(*).F > $(*).f90 - $(COMPILERF90) -o $(@) -c -I../hrldas/Utility_routines $(F90FLAGS) $(FREESOURCE) $(*).f90 - @echo "" - -# -# Dependencies: -# -module_sf_noahmplsm.o: module_sf_gecros.o -module_sf_noahmpdrv.o: module_sf_noahmplsm.o module_sf_noahmp_glacier.o module_sf_noahmp_groundwater.o \ - module_sf_urban.o module_sf_bep.o module_sf_bep_bem.o -module_sf_noahmp_groundwater.o: module_sf_noahmplsm.o -module_sf_bep.o: module_sf_urban.o module_bep_bem_helper.o -module_sf_bep_bem.o: module_sf_urban.o module_sf_bem.o module_bep_bem_helper.o - -# -# This command cleans up object (etc) files: -# - -clean: - $(RM) *.o *.mod *.stb *~ *.f90 - diff --git a/phys_wrf/module_sf_gecros.F b/phys_wrf/module_sf_gecros.F deleted file mode 100644 index aa02408..0000000 --- a/phys_wrf/module_sf_gecros.F +++ /dev/null @@ -1,2411 +0,0 @@ -!*********************************************************************** -!* GECROS for early and late covering crops * -!* Genotype-by-Environment interaction on CROp growth Simulator * -!* * -!* Author: Xinyou YIN * -!* Crop and Weed Ecology Group * -!* Wageningen University & Research Centre * -!* PO Box 430, 6700 AK Wageningen, Netherlands * -!* * -!* Modified and extended for winter crops * -!* by Joachim INGWERSEN * -!* Biogeophysics Group * -!* University of Hohenheim * -!* * -!*********************************************************************** - -MODULE module_sf_gecros - -implicit none - -!Runtime constant variables defined within this subroutine -!Crop-specific parameters (former *.tbl file) -REAL, PARAMETER :: EG = 1. !Efficiency of germination -REAL, PARAMETER :: CFV = 0.48 !Carbon fraction in vegetative organs -REAL, PARAMETER :: YGV = 0.81 !Grwoth efficiency for vegetative growth -REAL, PARAMETER :: FFAT = 0.02 !Fraction of fat in storage organs -REAL, PARAMETER :: FLIG = 0.06 !Fraction of lignin in storage organs -REAL, PARAMETER :: FOAC = 0.02 !Fraction of organic acids in storage organs -REAL, PARAMETER :: FMIN = 0.02 !Fraction of minerals in storage organs -REAL, PARAMETER :: LNCI = 0.03586 !Initial value of LNC (g N g-1) -REAL, PARAMETER :: TBD = 0.0 !Base temperature of phenology (C) -REAL, PARAMETER :: TOD = 22.5 !Optimum temperature of phenology (C) -REAL, PARAMETER :: TCD = 37.0 !Ceiling temperature of phenology (C) -REAL, PARAMETER :: TSEN = 1.0 !Curvature of temperature response (1) -REAL, PARAMETER :: SPSP = 0.2 !DS for start of photoperiod-sensitive phase -REAL, PARAMETER :: EPSP = 0.7 !DS for end of photoperiod-sensitive phase -REAL, PARAMETER :: CDMHT = 492.6 !Stem dry weight per unit plant height (g m-2 m2) -REAL, PARAMETER :: PMEH = 0.6468 !Fraction of sigmoid curve inflexion in plant height growth period (1) -REAL, PARAMETER :: ESDI = 1.35 !ESD for indeterminate crops -REAL, PARAMETER :: PMES = 0.50 !Fraction of sigmoid curve inflexion in seed growth growth period (1) -REAL, PARAMETER :: TBDV = -1.3 !Base temperature of vernalization (C) -REAL, PARAMETER :: TODV = 4.9 !Optimum temperature of vernalization (C) -REAL, PARAMETER :: TCDV = 15.7 !Ceiling temperature of vernalization (C) -REAL, PARAMETER :: NUPTX = 0.5/24./3600. !Maximum crop nitrogen uptake (g N m-2 s-1) -REAL, PARAMETER :: SLA0 = 0.0237 !Specific leaf area constant (m2 leaf g-1) -REAL, PARAMETER :: SLNMIN = 0.35 !Base SLN for photosynthesis (g N m-2 leaf) -REAL, PARAMETER :: RNCMIN = 0.005 !Minimum N concentration in roots (g N g-1) -REAL, PARAMETER :: STEMNC = 0.01 !Minimum N concentration in stem (g N g-1) -REAL, PARAMETER :: RLVDS = 0.0904 !Rate of C turnover from dead leaves to litter (d-1) -REAL, PARAMETER :: DSCRIT = 0.225 !DS at which winter dormancy ends (1) -REAL, PARAMETER :: EAJMAX = 48270.!Energy of activation for JMAX (J mol-1) -REAL, PARAMETER :: XVN = 24.96 !Slope of linear relationship between JMAX and leaf N (mu-mol CO2 s-1 g-1 N) -REAL, PARAMETER :: XJN = 49.92 !Slope of linear relationship between VCMX and leaf N (mu-mol e- s-1 g-1 N) -REAL, PARAMETER :: NPL = 390.0 !Number of plants per m2 -REAL, PARAMETER :: SEEDW = 0.0475 !Seed weight (g seed-1) -REAL, PARAMETER :: SEEDNC = 0.020 !Seed N concentration (g N g-1) -REAL, PARAMETER :: BLD = 25.58 !Leaf angle (from horizontal) (degree) -REAL, PARAMETER :: HTMX = 1.1 !Maximum plant height (m) -REAL, PARAMETER :: MTDV = 46.12 !Minimum thermal days for vegetative growth phase (d) -REAL, PARAMETER :: MTDR = 40.22 !Minimum thermal days for reproductive phase (d) -REAL, PARAMETER :: PSEN = -.104 !Photoperiod sensitivity of phenological development (h-1) -REAL, PARAMETER :: C3C4 = 1. !C3C4 = 1. for C3 crops; C3C4 = -1. for C4 crops. - -!Runtime-constant general parameters -REAL, PARAMETER :: LEGUME = -1. !LEGUME = 1. for leguminous crops; = -1. for non-leguminous crops. -REAL, PARAMETER :: DETER = 1. !DETER = 1. for determinate crops; = -1. for indeterminate crops. -REAL, PARAMETER :: SLP = -1. !SLP = 1. for short-day crops; = -1. for long-day crops. -REAL, PARAMETER :: NSUP1 = 0. !NH4-N supply in g/m2/s -REAL, PARAMETER :: NSUP2 = 1./172800. !NO3-N supply in g/m2/s -REAL, PARAMETER :: CO2A=350. !Atmospherric CO2 concentration (ppm) -REAL, PARAMETER :: FCRSH=0.5 !Initial fraction of C in shoot (-) -REAL, PARAMETER :: FNRSH=0.63 !Initial fraction of N in shoot (-) -REAL, PARAMETER :: PNPRE=0.7 !Proportion of seed N that comes from non-structural stems during seed fill -REAL, PARAMETER :: CB=0.75 !Factor for initial N concentration of seed fill -REAL, PARAMETER :: CX=1.00 !Factor for final N concentration of seed fill -REAL, PARAMETER :: TM=1.5 !DS when transition from CB to CX is fastest -REAL, PARAMETER :: RSS=100. !Soil resistance to evaporation (s/m) -REAL, PARAMETER :: LS=0. !Lodging sverity (value between zero and unity) -REAL, PARAMETER :: WRB=0.25 !Critical root weight density (g/m2/cm depth) -REAL, PARAMETER :: THETA=0.7 !Convexity for light response curve of electron transport (J2) in photosynthesis -REAL, PARAMETER :: PNLS=1. !Fraction of dead leaf N incorporated into soil litter N -REAL, PARAMETER :: INSP=-2. !Inclination of sun angle (degree) -REAL, PARAMETER :: CCFIX=6. !Carbon cost of symbiotic N fixation (g C/g N) -REAL, PARAMETER :: RDMX=130. !Maximum rooting depth (m) -REAL, PARAMETER :: TCP=86400. !Conversion factor from day into sec -REAL, PARAMETER :: Z1244=0.272727272727 !12./44. -REAL, PARAMETER :: LOG005=-2.995732274 !LOG(0.05) - -!Runtime constant variables computed in driver.f -REAL :: YGO !Growth efficiency of storage organs (g C/g C) -REAL :: CFO !Carbon fraction in storage organs (g C/g) -REAL :: LNCMIN !Minimum N concentration in leaves (g N/g) -REAL :: CLVI !Initial value of CLV -REAL :: CRTI !Initial value of CRT -REAL :: NLVI !Initial value of NLV -REAL :: NRTI !Initial value of NRT -REAL :: HTI !Initial value of HT -REAL :: RDI !Initial value of RD - -!*** Debugging on/off -LOGICAL :: debugging=.false. - -CONTAINS - -SUBROUTINE gecros (DOY, DT, CROP, RB, RT, RTS, FB, SNOWH, & !I - WN, SFCTMP, EAIR, RSD, RLD, PRCP, WUL, WLL, WCMIN, LWIDTH, & !I & !I - STATE_GECROS, & !H - ATRJC, ATRJS, FSR, FRSU, ARSWSU, ARSWSH) !O - -IMPLICIT NONE - -! character(len=19), INTENT(IN) :: nowdate ! string of current date e.g. 2012-30-10_12:00:00 - INTEGER, INTENT(IN) :: CROP !CROP=1 -> early-covering crop, CROP=2 -> later covering crop - REAL, INTENT(IN) :: DOY !Julian day of the current time step - REAL, INTENT(IN) :: DT !Integration time step (s) - REAL, INTENT(IN) :: RB !Leaf boundary layer resistance (s/m) - REAL, INTENT(IN) :: RT !Aerodynamic canopy resistance (s/m) - REAL, INTENT(IN) :: RTS !Aerodynamic ground resistance (s/m) - REAL, INTENT(IN) :: FB !Fraction of vegetation cover by snow - REAL, INTENT(IN) :: SNOWH !Snow height (cm) - REAL, INTENT(IN) :: WN !Wind speed (m/s) - REAL, INTENT(IN) :: SFCTMP !Air temperature (K) - REAL, INTENT(IN) :: EAIR !Vapour pressure (Pa) - REAL, INTENT(IN) :: RSD !Downwelling shortwave radiation (W/m2) - REAL, INTENT(IN) :: RLD !Downwelling longwave raidation (W/m2) - REAL, INTENT(IN) :: PRCP !Precipiration (kg/m2/s) - REAL, INTENT(IN) :: WUL !Soil water in the upper layer (L/m2 or mm) - REAL, INTENT(IN) :: WLL !Soil water in the lower layer (L/m2 or mm) - REAL, INTENT(IN) :: WCMIN !Minimum soil watter content (m3/m3) - REAL, INTENT(IN) :: LWIDTH !Leaf width (m) read in from MPTABLE.TBL - REAL, INTENT(OUT) :: ATRJC !Absorbed global radiation by canopy (W/m2) - REAL, INTENT(OUT) :: ATRJS !Absorbed global radiation by soil (W/m2) - REAL, INTENT(OUT) :: FSR !Reflected shortwave radiation (W/m2) - REAL, INTENT(OUT) :: FRSU !Fraction of sunlit leaves in the canopy - REAL, INTENT(OUT) :: ARSWSU !Actual stomatal resistance of sunlit leaves (s/m) - REAL, INTENT(OUT) :: ARSWSH !Actual stomatal resistance of shaded leaves (s/m) - REAL, DIMENSION(1:60), INTENT(INOUT) :: STATE_GECROS !Array with Gecros state variables - - !*** Gecros state variables - REAL :: DS !Development stage - REAL :: LAI !Green leaf area index - REAL :: TLAI !Total leaf area index - REAL :: CTDU !Cumulative thermal day unit (d) - REAL :: CVDU !Cumulative thermal day unit of vernalization (d) - REAL :: CLV !Carbon in living leaves (g C/m2) - REAL :: CLVD !Carbon in dead leaves (g C/m2) - REAL :: CSST !Carbon in structural stems (g C/m2) - REAL :: CSO !Carbon in storage organs (g C/m2) - REAL :: CSRT !Carbon in structural roots (g C/m2) - REAL :: CRTD !Carbon in dead roots (g C/m2) - REAL :: CLVDS !Carbon in dead leaves that have become litter in soil (g C/m2) - REAL :: NRT !Nitrogen in living roots (g N/m2) - REAL :: NST !Nitrogen in stems (g N/m2) - REAL :: NLV !Nitrogen in living leaves (g N/m2) - REAL :: NSO !Nitrogen in storage organs (g N/m2) - REAL :: TNLV !Total leaf nitrogen (including N in senesced leaves) (g N/m2) - REAL :: NLVD !Nitrogen in dead leaves (g N/m2) - REAL :: NRTD !Nitrogen in dead roots (g N/m2) - REAL :: CRVS !Carbon in stem reserves (g C/m2) - REAL :: CRVR !Carbon in root reserves (g C/m2) - REAL :: NREOE !NRES accumulated till the end of seed number determining period (g N/m2) - REAL :: NREOF !NRES accumulated till the moment at which seed fill starts (g N/m2) - REAL :: DCDSR !Short fall of carbon demand for seed fill in previous time steps (g C/m2) - REAL :: DCDTR !Short fall of carbon demand for structural stems in previous time steps (g C/m2) - REAL :: SLNB !SLN in bottom leaves of canopy (g N/m2) - REAL :: LAIC !Carbon determined LAI (m2/m2) - REAL :: RMUL !Total of RMUN+RMUA+RMUS+RMLD - REAL :: NDEMP !Crop nitrogen demand of the previous time step (g N/m2/s) - REAL :: NSUPP !Nitrogen supply of the previous time step (g N/m2/s) - REAL :: NFIXT !Total symbiotically fixed nitrogen during growth (g N/m2) - REAL :: NFIXR !Reserve pool of symbiotically fixed nitrogen (g N/m2) - REAL :: DCDTP !Carbon demand for structural stem growth of the previous time step (g C/m2/s) - REAL :: HT !Canopy height (m) - REAL :: TPCAN !Cumulative canopy photosynthesis over growth period (g CO2/m2) - REAL :: TRESP !Total crop respiratory cost during growth (g CO2/m2) - REAL :: TNUPT !Total crop nitrogen uptake during growth (g N/m2) - REAL :: LITNT !Total litter nitrogen entering soil during growth (g N/m2) - REAL :: WSO !Yield (g/m2) - REAL :: WSTRAW !Straw (g/m2) - REAL :: GrainNC !Nitrogen in grain (kg N/ha) - REAL :: StrawNC !Nitrogen in straw (kg N/ha) - REAL :: APCAN !Actual gross canopy photosynthesis (g CO2/m2/d) - - character(Len=12) :: inputstring - INTEGER :: nowday, minutes - REAL :: SC !Solar constant (W/m2) - REAL :: SINLD !Seasonal offset of sine of solar height (-) - REAL :: COSLD !Amplitude of sine of solar height (-) - REAL :: DAYL !Day length (h) - REAL :: DDLP !Day length for photoperiodism (h) - REAL :: DSINBE !DSINB to correct for lower atmospheric transmission at lower solar elevation (s/d) - REAL :: DVP !Vapour pressure (kPa) - REAL :: WNM !Wind speed (m/s) - REAL :: TAIR !Air temperature (C) - REAL :: ROOTD !Rooting depth (m) - REAL :: WLV !Dry weight of living leaves (g/m2) - REAL :: WST !Dry weight of stems (g/m2) - REAL :: WRT !Dry weight of roots (g/m2) - REAL :: WSH !Dry weight of shoot (g/m2) - REAL :: WLVD !Dry weight of dead leaves (g/m2) - REAL :: WRTD !Dry weight of dead roots (g/m2) - REAL :: CRT !Carbon in living roots (g C/m2) - REAL :: CSH !Carbon in living shoot (g C/m2) - REAL :: NSH !Nitrogen in living shoot (g N/m2) - REAL :: DLAI !LAI of dead leaves still hanging on stem (m2/m2) - REAL :: ESD !DS for end of seed-number determing phase (-) - REAL :: KCRN !EXtinction coefficient of root nitrogen (m2/g C) - REAL :: NFIXD !Crop demand-determined NFIX (g N/2/s) - REAL :: KR !Extinction coefficient of root weight density over soil septh (1/cm) - REAL :: HNCCR !Critical shoot N concentration ( g N/g) - REAL :: FVPD !Slope of linear effect of VPD of intercelluar to ambient CO2 ratio (1/kPa) - REAL :: NRETS !Total crop-residue N returned to soil (g N/m2) - REAL :: WCUL !Soil water content in uppler layer (m3/m3) - REAL :: DWSUP !Water supply for evapotranspiration (mm/s) - REAL :: CSRTN !N determined CSRT (g C/m2) - REAL :: NRES !Estimated vegetative-organ N remobilizable for seed fill (g N/m2) - REAL :: ONC !N concentration in storage organ (g N/g) - REAL :: RNC !N concentration in roots (g N/g) - REAL :: LNC !N concentration in living leaves (g N/g) - REAL :: KL !Extinction coefficient diffuse component for PAE (m2/m2 leaf) - REAL :: CTOT !Total C in living shoots and roots (g C/m2) - REAL :: NSHH !N in shoots (excluding dead leaves incorporated into soil litter (g N/m2) - REAL :: NTOT !Total N in living shoots and roots (g N/m2) - REAL :: WSHH !Dry weight of shoots organs (excluding shadded leaves) (g/m2) - REAL :: TSN !Total seed number (seeds/m2) - REAL :: HNC !Actural N concentration in living shoot (g N/g) - REAL :: PSO !Protein content in storage organs (g protein/m2) - REAL :: KLN !Intermediate variable to compute KN (g N/m2 leaf) - REAL :: NBK !Intermediate variable to compute KN (g N/m2 leaf) - REAL :: KW !Wind speed extinction coefficient in canopy (m2/m2 leaf) - REAL :: WTOT !Dry weight of total living plant parts (g/m2) - REAL :: CCHKIN !C in crop accumulated since start of simulation - REAL :: NCHKIN !N in crop accumulated since start of simulation - REAL :: LCRT !Rate of C loss in rooots because of senescence (g C/m2/s) - REAL :: TSW !Thousand seed weight (g) - REAL :: PNC !N concentration in living plant material (g N/m2) - REAL :: NDEMD !Defiency-driven N demand (g N/m2/s) - REAL :: FCRVR !Fraction of new root C partitioned to root reserves (g C/g C) - REAL :: KN !Leaf N extinction coefficient in the canopy (m2/m2 leaf) - REAL :: CCHK !Diff. between C added to the crop since start and net total C fluxes rel. to CCHKIN (%) - REAL :: HI !Harvest index (g/g) - REAL :: LWRT !Rate of loss of root biomass because of senescence (g/m2/s) - REAL :: NCHK !As CCHK but for N - REAL :: LAIN !N-determined LAI (m2/m2) - REAL :: LNRT !Rate of loss of N because of senescence (g N/m2/s) - REAL :: LWLVM !Intermediate variable to compute LWLV (g/m2/s) - REAL :: SLNNT !Value of SLNT with small plant-N increment (g N/m2 leaf) - REAL :: SLNBC !SLNB calculated from exponential N profile in canopy (g N/m2 leaf) - REAL :: SLN !Specific leaf N content (g N/m2 leaf) - REAL :: SLA !Specific leaf area (m2 leaf/g) - REAL :: LWLV !Rate of loss of leaf weight because of leaf senescence (g/m2/s) - REAL :: AESOIL !Actual soil evaporation (mm/s) - REAL :: APCANN !APCANS with small plant-N increment (g CO2/m2/s) - REAL :: APCANS !Actual standing canopy CO2 assimilation (g CO2/m2/s) - REAL :: ATCAN !Actual canopy transpiration (mm/s) - REAL :: DAPAR !PAR absorbed by canopy (J/m2/s) - REAL :: DIFS !Daytime average soil-air temperature difference (C) - REAL :: DIFSH !Daytime average shaded leaf-air temperature difference (C) - REAL :: DIFSU !Daytime average sunlit leaf-air temperature difference (C) - REAL :: FRSH !Fraction of shaded leaves in the canopy - REAL :: HOD !Hour of the day - REAL :: PESOIL !Potential soil evaporation (mm/s) - REAL :: PPCAN !Potential canopy assimilation (g CO2/m2/s) - REAL :: PTCAN !Potential canopy transpiration (mm/s) - REAL :: RCAN !Canopy resistance (s/m) - REAL :: RSLNB !Rate of change in SLNB (g N/m2 leaf/s) - REAL :: LNLV !Rate of loss of leaf N because of senescence (g N/m2/s) - REAL :: LCLV !Rate of loss of leaf C because of senescence (g C/m2/s) - REAL :: RMRE !Residual maintenance respiration (g CO2/m2/s) - REAL :: TAVSS !Soil surface temperature (C) - REAL :: RMN !RM calculated with a small increment in plant N (g CO2/m2/s) - REAL :: VDU !Rate of Vernalization day unit increase (d/s) - REAL :: TDU !Rate of thermal day unit increase (d/s) - REAL :: RM !Non-growth components of respiration, excluding the cost of N fixation (g CO2/m2/s) - REAL :: LVDS !Rate of transfer of C from dead leaves to litter (g C/m2/s) - REAL :: NFIXE !Available energy-determined NFIX (g N/m2/s) - REAL :: DVR !Phenological development rate (1/s) - REAL :: RX !Respiratory cost of N fixation (g CO2/m2/s) - REAL :: RNSUPP !Rate of change in NSUPP (g N/m2/s) - REAL :: NSUP !N supply to crop (g N/m2/s) - REAL :: NFIX !Symbioticall fixed N (g N/m2/s) - REAL :: LITN !Litter N entering soil (g N/m2/s) - REAL :: LITC !Litter C entering soil (g C/m2/s) - REAL :: FDH !Expected relative growth rate of plant height (1/s) - REAL :: FDS !Expected relative growth rate of storage organs (1/s) - REAL :: SHSAN !SHSA calculated with a small increment in plant-N (g C/g C/s) - REAL :: SHSA !Relative shoot activity (g C/g C/s) - REAL :: RMUS !Respiratory cost of mineral uptake (g CO2/m2/s) - REAL :: NDEMAD !Intermediate variable related to NDEM (g N/m2/s) - REAL :: NDEMA !Activity-driven NDEM (g N/m2/s) - REAL :: NCR !Intermediate variable (g N/g C) - REAL :: DERI !First order-derivative of SHSA with respect to crop N/C ratio (g C/g N/s) - REAL :: ASSA !Assimilates available from current photosynthesis for growth (g CO2/m2/s) - REAL :: RNFIXR !Rate of change in NFIXR (g N/m2/s) - REAL :: RNDEMP !Rate of change in NDEMP (g N/m2/s) - REAL :: RMLD !Respiration due to phloem loading of C assimilates to root (g CO2/m2/s) - REAL :: RCSRT !Rate of change in CSRT (g C/m2/s) - REAL :: NUPTN !Nitrate-N uptake by the crop (g N/m2/s) - REAL :: NUPTA !Ammonium-N uptake by the crop (g N/m2/s) - REAL :: NDEM !Crop N demand (g N/m2/s)SUBROUTINE ENERGY - REAL :: FNSH !Fraction of newly absorbed N partitioned to shoot (g N/g N) - REAL :: FCSH !Fraction of new V partitioned to shoot (g C/g C) - REAL :: DCSR !C supply from current photosynthesis for root growth (g C/m2/s) - REAL :: SLNT !SLN for top leaves in canopy (g N/m2 leaf) - REAL :: RMUN !Respiratory cost of nitrate-N uptake (g CO2/m2/s) - REAL :: RMUA !Respiratory cost of ammonium-N uptake (g CO2/m2/s) - REAL :: NUPT !Crop N uptake (g N/m2/s) - REAL :: DCDSC !C demand for seed filling at current time step (g C/m2/s) - REAL :: DCDS !C demand for filling of storage organgs at current time step (g C/m2/s) - REAL :: FLWCS !Flow of current assimilated C to storage organs (g C/m2/s) - REAL :: DCSS !C supply from current photosynthesis for shoot growth (g C/m2/s) - REAL :: DCST !C suppyl from current photosynthesis for structural stem growth (g C/m2/s) - REAL :: FCSO !Fraction of new C partitioned to storage organs (g C/m2/s) - REAL :: RRMUL !Rate of change in RMUL (g CO2/m2/s) - REAL :: RHT !Rate of change in HT (m/s) - REAL :: IFSH !Integral factor of stresses on plant height growth (-) - REAL :: GAP !Gap betweeb C supply and C demand for seed growth (g C/m2/s) - REAL :: CREMSI !Intermediate variable to compute CREMS (g C/m2/s) - REAL :: CREMS !C remobilized from stem reserves to storage organs (g C/m2/s) - REAL :: CREMRI !Intermediate variable to compute CREMR (g C/m2/s) - REAL :: CREMR !C remobilized from root reserves to storage organs (g C/m2/s) - REAL :: RWSO !Rate of change in storage organs(g/m2/s) - REAL :: RWRT !Rate of change in roots (g/m2/s) - REAL :: RRD !Rate of change in RD (cm/s) - REAL :: RDCDTP !Rate of change in DCDTP (g C/m2/s) - REAL :: RDCDSR !Rate of change in DCDSR (g C/m2/s) - REAL :: RCSST !Rate of change in CSST (g C/m2/s) - REAL :: RCSO !Rate of change in CSO (g C/m2/s) - REAL :: RCRVR !Rate of change in CRVR (g C/m2/s) - REAL :: FLWCT !Flow of assimilated C to structural stems (g C/m2/s) - REAL :: FCSST !Fraction of new shoot C partitioned to structural stems (g C/m2/s) - REAL :: FCLV !Fraction of new shoot C partitioned to leaves (g C/m2/s) - REAL :: DCDTC !C demand of structural stem growth at current time step (g C/m2/s) - REAL :: DCDT !C demand for the growth of structural stems (g C/m2/s) - REAL :: FCRVS !Fraction of new C paritioned to stem reserves (g C/m2/s) - REAL :: RCLV !Rate of change in CLV (g C/m2/s) - REAL :: RCRVS !Rate of change in CRVS (g C/m2/s) - REAL :: RDCDTR !Rate of change in DCDTR (g C/m2/s) - REAL :: RESTOT !Total respiratory cost (g CO2/m2/s) - REAL :: RG !Growth respiration (g CO2/m2/s) - REAL :: RLAI !Rate of change in LAI (m2 leaf/m2/s) - REAL :: RNLV !Rate of change in NLV (g N/m2/s) - REAL :: RNREOE !Rate of change in NREOE (g N/m2/s) - REAL :: RNREOF !Rate of change in NREOF (g N/m2/s) - REAL :: RNRES !Rate of change in NRES (g N/m2/s) - REAL :: RNRT !Rate of change in NRT (g N/m2/s) - REAL :: RNSO !Rate of change in NSO (g N/m2/s) - REAL :: RNST !Rate of change in NSZ (g N/m2/s) - REAL :: RRP !Respiration/photosynthesis ratio (-) - REAL :: RTNLV !Rate of change in TNLV (g N/m2/s) - REAL :: RWLV !Rate of change in WLV (g/m2/s) - REAL :: RWST !Rate of change in WST (g/m2/s) - REAL :: GLAT !Latitude (degree) - REAL :: SD1 !Thickness of upper evaporative soil layer (cm) (equals RDI) - - !*** write STATE_GECROS array into Gecros variables - DS = STATE_GECROS(1) - CTDU = STATE_GECROS(2) - CVDU = STATE_GECROS(3) - CLV = STATE_GECROS(4) - CLVD = STATE_GECROS(5) - CSST = STATE_GECROS(6) - CSO = STATE_GECROS(7) - CSRT = STATE_GECROS(8) - CRTD = STATE_GECROS(9) - CLVDS = STATE_GECROS(10) - NRT = STATE_GECROS(11) - NST = STATE_GECROS(12) - NLV = STATE_GECROS(13) - NSO = STATE_GECROS(14) - TNLV = STATE_GECROS(15) - NLVD = STATE_GECROS(16) - NRTD = STATE_GECROS(17) - CRVS = STATE_GECROS(18) - CRVR = STATE_GECROS(19) - NREOE = STATE_GECROS(20) - NREOF = STATE_GECROS(21) - DCDSR = STATE_GECROS(22) - DCDTR = STATE_GECROS(23) - SLNB = STATE_GECROS(24) - LAIC = STATE_GECROS(25) - RMUL = STATE_GECROS(26) - NDEMP = STATE_GECROS(27) - NSUPP = STATE_GECROS(28) - NFIXT = STATE_GECROS(29) - NFIXR = STATE_GECROS(30) - DCDTP = STATE_GECROS(31) - HT = STATE_GECROS(32) - ROOTD = STATE_GECROS(33) - TPCAN = STATE_GECROS(34) - TRESP = STATE_GECROS(35) - TNUPT = STATE_GECROS(36) - LITNT = STATE_GECROS(37) - GLAT = STATE_GECROS(44) - WSO = STATE_GECROS(45) - WSTRAW = STATE_GECROS(46) - GrainNC = STATE_GECROS(47) - StrawNC = STATE_GECROS(48) - LAI = STATE_GECROS(49) - TLAI = STATE_GECROS(50) - SD1 = STATE_GECROS(52) - - ! Used for debugging -! if (nowdate(9:12).eq.'2500') then -! write(*,*) nowdate, ' 1 ', DS -! write(*,*) nowdate, ' 2 ', CTDU -! write(*,*) nowdate, ' 3 ', CVDU -! write(*,*) nowdate, ' 4 ', CLV -! write(*,*) nowdate, ' 5 ', CLVD -! write(*,*) nowdate, ' 6 ', CSST -! write(*,*) nowdate, ' 7 ', CSO -! write(*,*) nowdate, ' 8 ', CSRT -! write(*,*) nowdate, ' 9 ', CRTD -! write(*,*) nowdate, ' 10 ', CLVDS -! write(*,*) nowdate, ' 11 ', NRT -! write(*,*) nowdate, ' 12 ', NST -! write(*,*) nowdate, ' 13 ', NLV -! write(*,*) nowdate, ' 14 ', NSO -! write(*,*) nowdate, ' 15 ', TNLV -! write(*,*) nowdate, ' 16 ', NLVD -! write(*,*) nowdate, ' 17 ', NRTD -! write(*,*) nowdate, ' 18 ', CRVS -! write(*,*) nowdate, ' 19 ', CRVR -! write(*,*) nowdate, ' 20 ', NREOE -! write(*,*) nowdate, ' 21 ', NREOF -! write(*,*) nowdate, ' 22 ', DCDSR -! write(*,*) nowdate, ' 23 ', DCDTR -! write(*,*) nowdate, ' 24 ', SLNB -! write(*,*) nowdate, ' 25 ', LAIC -! write(*,*) nowdate, ' 26 ', RMUL -! write(*,*) nowdate, ' 27 ', NDEMP -! write(*,*) nowdate, ' 28 ', NSUPP -! write(*,*) nowdate, ' 29 ', NFIXT -! write(*,*) nowdate, ' 30 ', NFIXR -! write(*,*) nowdate, ' 31 ', DCDTP -! write(*,*) nowdate, ' 32 ', HT -! write(*,*) nowdate, ' 33 ', ROOTD -! write(*,*) nowdate, ' 34 ', TPCAN -! write(*,*) nowdate, ' 35 ', TRESP -! write(*,*) nowdate, ' 36 ', TNUPT -! write(*,*) nowdate, ' 37 ', LITNT -! read(*,*) -! endif - - PPCAN=0. - APCANS=0. - APCANN=0. - APCAN=0. - PTCAN=0. - ATCAN=0. - PESOIL=0. - AESOIL=0. - DIFS=0. - DIFSU=0. - DIFSH=0. - DAPAR=0. - RCAN=0. - DVR=0. - - nowday = INT(DOY) - HOD = float(nint((DOY-int(DOY))*86400.))/3600. - - ! Conversion from K to C - TAIR = SFCTMP - 273.15 - - ! Conversion of rel. humidity into VP (kPa) - DVP = EAIR*0.001 !Converts EAIR from Pa to kPa - WNM = MAX (0.1, WN) - - ! Photoperiod, solar constant and daily extraterrestrial radiation - CALL ASTRO(aint(DOY),GLAT,INSP,SC,SINLD,COSLD,DAYL,DDLP,DSINBE) - - ! Plant weights (g/m2) - WLV = CLV / CFV - WST = CSST / CFV + CRVS/0.444 - WSO = CSO / CFO - WRT = CSRT / CFV + CRVR/0.444 - WLVD = CLVD / CFV - WRTD = CRTD / CFV - - ! Carbon in shoot and root (g C/m2) - CSH = CLV + CSST + CRVS + CSO - CRT = CSRT + CRVR - - ! Nitrogen in shoot (g C/m2) - NSH = NST + NLV + NSO - - ! Extinction coefficient of root nitrogen (m2/g C) - KCRN = -LOG005/6.3424/CFV/WRB/RDMX - - ! DS for end of seed number determining period - ESD = INSW(DETER, ESDI, 1.) - - ! Dead leaves still hanging on the plant (m2/m2 - DLAI = (CLVD-CLVDS)/CFV*SLA0 - - ! Total leaf area index (dead plus living leaves) - TLAI = MAX(0.01,LAI + DLAI) - - ! Crop demand-determined NFIX - NFIXD = MAX(0., NDEMP - NSUPP) - - ! Critical shoot nitrogen concentration g N g-1 - HNCCR = LNCI*EXP(-.4*DS) - - !Extinction coefficient of root weight density over the soil depth cm-1 - KR = -LOG005/RDMX !cm-1 - - ! Slope of linear effect of VPD on intercelluar to ambient CO2 ratio (1/kPa) - FVPD = INSW (C3C4, 0.195127, 0.116214) - - ! Total crop-residue nitrogen returned to soil (g N/m2) - NRETS = LITNT+INSW(DS-2.,0.,NLV+NST+NRT+NFIXR+(CLVD-CLVDS)/ & - CFV*LNCMIN*(1.+PNLS)/2.) - - !if (nowdate(1:12).eq.'201110061930') then - !write(*,*) 'Bis hier her bin ich gekommen', ROOTD - !endif - - ! Soil water content of the upper and lower layer (m3/m3) - WCUL = (WUL+WCMIN*10.*ROOTD)/10./ROOTD - - ! Daily water supply for evapotranspiration (mm/s) - DWSUP = MAX(.1/TCP,WUL/TCP+.1/TCP) - - ! Nitrogen-determined CSRT (g C/m2) - CSRTN = 1./KCRN*LOG(1.+KCRN*MAX(0.,(NRT*CFV-CRVR*RNCMIN))/RNCMIN) - - ! Straw weight (g/m2) - WSTRAW = WLV + WST + (WLVD - CLVDS/CFV) - - ! Shoot weight (g/m2) - WSH = WLV + WST + WSO - - ! Estimated vegetative-organ N remobilizable for seed growth (g N/m2) - NRES = NREOF + (NREOE-NREOF)*(ESD-1.)/NOTNUL(MIN(DS,ESD)-1.) - - ! Nitrogen concentration in living leaves LAI(g N/m2) - LNC = NLV / NOTNUL(WLV) - - ! Nitrogen concentration in roots (g N/m2) - RNC = NRT / NOTNUL(WRT) - - ! Nitrogen concentration seeds (g N/m2) - ONC = INSW(-WSO, NSO/NOTNUL(WSO), 0.) - - ! Nitrogen in grain and straw in kg N per ha - GrainNC = NSO*10. - StrawNC = (NLV+NST)*10. - - ! Extinction coefficient of nitrogen and wind - CALL KDIFF (TLAI,BLD*3.141592654/180.,0.2, KL) - - CTOT = CSH + CRT - NSHH = NSH +(WLVD-CLVDS/CFV)*LNCMIN - NTOT = NSH + NRT - WSHH = WSH + (WLVD-CLVDS/CFV) - TSN = NRES/PNPRE/SEEDNC/SEEDW - HNC = NSH / NOTNUL(WSH) - - ! Amount of seed protein - PSO = 6.25*WSO*ONC - - KLN = KL*(TNLV-SLNMIN*TLAI) - - NBK = SLNMIN*(1.-EXP(-KL*TLAI)) - KW = KL - WTOT = WSH + WRT - - ! Crop carbon balance check - CCHKIN = CTOT + CLVD + CRTD -CLVI-CRTI - - ! Crop nitrogen balance check - NCHKIN = NTOT + NLVD + NRTD -NLVI-NRTI - - LCRT = MAX(MIN(CSRT-1.E-4,CSRT-MIN(CSRTN,CSRT)),0.)/TCP !Eq. 43, p. 38, DELT ok, gC m-2 s-1 - - FCRVR = INSW(CSRTN-CSRT, 1., 0.) - PNC = NTOT / NOTNUL(WTOT) - - KN = 1./TLAI*LOG(MAX(1.001,(KLN+NBK)/(KLN*EXP(-KL*TLAI)+NBK))) - - TSW = WSO/NOTNUL(TSN)*1000. - - NDEMD = INSW(DS-1., WSH*(HNCCR-HNC)*(1.+NRT/MAX(1E-2,NSH))/TCP, 0.) !Eq. 20, p.25, DELT ok, g N m-2 s-1 - - ! Biomass formation - HI = WSO / NOTNUL(WSHH) - CCHK = (CCHKIN-(TPCAN-TRESP)*Z1244)/NOTNUL(CCHKIN)*100. - NCHK = (NCHKIN-TNUPT)/NOTNUL(TNUPT)*100. - LWRT = LCRT/CFV !g m-2 s-1 - - ! Leaf area development - LAIN = LOG(1.+ KN*MAX(0.,NLV)/SLNMIN)/KN - LNRT = LWRT*RNCMIN !g N m-2 s-1 - - ! Green leaves still hanging on the plant (m2/m2) - LAI = MAX(0.01,MIN(LAIN, LAIC)) - - ! Leaf senescence - ! The equation differs somewhat from Yin. The right hand side is not divided by deltaT - ! This is done by computing LWLV - ! LWLVM = (LAIC-MIN(LAIC,LAIN))/SLA0/DELT !Eq. 42, p.36, DELT ok, g m-2 s-1 - - LWLVM = (LAIC-MIN(LAIC,LAIN))/SLA0 !Eq. 42, p.36, DELT ok, g m-2 s-1 - - ! Specific leaf nitrogen and its profile in the canopy - SLN = NLV/LAI - SLNT = NLV*KN/(1.-EXP(-KN*LAI)) - SLNBC = NLV*KN*EXP(-KN*LAI)/(1.-EXP(-KN*LAI)) - SLNNT = (NLV+0.001*NLV)*KN /(1.-EXP(-KN*LAI)) - SLA = LAI/NOTNUL(WLV) - - ! ji, 1402, Stay-green maize -> no senescense - LWLV = MIN((WLV-1.E-5)/TCP, (LWLVM+REANOR(ESD-DS,LWLVM)*0.03*WLV)/TCP) !g m-2 s-1, gecheckt ok - - !write(*,*) nowdate, DWSUP,CO2A,LS,EAJMAX,XVN,XJN,THETA,WCUL,FVPD,RB,RT,RTS - !read(*,*) - ! Call TOTPT: Computes daily total photosynthesis and stomatal resistance - CALL TOTPT(HOD,DS,SC,SINLD,COSLD,DAYL,DSINBE,RSD,TAIR,DVP,WNM,C3C4,LAI, & - TLAI,HT,LWIDTH,ROOTD,SD1,RSS,BLD,KN,KW,SLN,SLNT,SLNNT,SLNMIN,FB,& - DWSUP,CO2A,LS,EAJMAX,XVN,XJN,THETA,WCUL,FVPD,RB,RT,RTS, & - PPCAN,APCANS,APCANN,APCAN,PTCAN,ATCAN,PESOIL,AESOIL,DIFS,DIFSU, & - DIFSH,DAPAR,RCAN,ATRJC,ATRJS,FSR,FRSU,FRSH,ARSWSU,ARSWSH) - - RSLNB = (SLNBC-SLNB)/TCP !!Eq. 38, p. 35, DELT ok, g N m-2 leaf s-1 - - LNLV = MIN(LWLV,LWLVM)*LNCMIN + (LWLV-MIN(LWLV,LWLVM))*LNC !g m-2 s-1 - LCLV = LWLV*CFV !g m-2 s-1 - - ! Residual maintenance respiration g m-2 s-1 - RMRE = MAX(MIN(44./12.*0.218*(NTOT-WSH*LNCMIN-WRT*RNCMIN)/TCP & - ,APCAN-(1.E-5+RMUL)/TCP), 0.) !0.218 has the unit g C g-1 N d-1! - - TAVSS = TAIR + DIFS - - ! Call TUNIT: Computes cumulative thermal units (CTDU) - CALL TUNIT (1.*CROP, DS,TAIR,MAX(0.,DIFS),DAYL,TBD,TOD,TCD,TBDV,TODV,TCDV,TSEN,TDU,VDU) - - RMN = MAX(0., MIN(APCAN-1.E-5/TCP,RMUL/TCP) + MAX(MIN(44./12.*0.218* & - (1.001*NTOT-WSH*LNCMIN-WRT*RNCMIN)/TCP,APCAN-(1.E-5+RMUL)/TCP), 0.)) - - RM = MAX(0., MIN(APCAN-1.E-5/TCP,RMUL/TCP) + RMRE) !gC m-2 s-1 - - ! Daily and total C and N returns from crop to soil - ! ji: RLVDS eingefuehrt. Standardmaessig war der Wert von RLVDS auf 0.1 hard-gecoded - ! CLVD: Amount of carbon in dead leaves - ! CLVDS: Amount of carbon in dead leaves that have become litter in soil - - IF(DS.lt.0.25) THEN - LVDS = (CLVD-CLVDS)/TCP !gC m-2 s-1 - ELSE - LVDS = RLVDS*(CLVD-CLVDS)*(TAVSS-TBD)/(TOD-TBD)/TCP !gC m-2 s-1 - ENDIF - - CALL PHENO (1.*CROP,DS,SLP,DDLP,SPSP,EPSP,PSEN,MTDV,MTDR,TDU,CVDU,DVR) - - NFIXE = MAX(0., APCAN-(1.E-5+RM)/TCP)/CCFIX*Z1244 - - ! Daily carbon flow for seed filling - CALL BETAF(DVR,1.,PMES,LIMIT(1.,2.,DS)-1., FDS) - - LITC = LCRT + LVDS !gC m-2 s-1 - LITN = LNRT + LVDS/CFV *LNCMIN*PNLS !gN m-2 s-1 - - CALL BETAF(DVR,(1.+ESD)/2.,PMEH*(1.+ESD)/2.,MIN((1.+ESD)/2.,DS), FDH) - - NSUP = NSUP1 + NSUP2 !gN m-2 s-1 - - NFIX = INSW (LEGUME, 0., MIN(NFIXE, NFIXD)) !N fixation - - RNSUPP = (NSUP - NSUPP)/DT !RNSUPP g N m-2 s-2 - RX = 44./12.*(CCFIX*NFIX) - -!*** Current photo-assimilates (g CO2 m-2 s-1) for growth, and R/P ratio - ASSA = APCAN - RM - RX - -!*** Crop nitrogen demand and uptake (g N m-2 s-1) - - SHSA = Z1244 * YGV*MAX(1E-16,APCAN -RM -RX)/ MAX(0.1,CSH) - SHSAN = Z1244 * YGV*(APCANN-RMN-RX)/ MAX(0.1,CSH) - DERI = MAX(0.,(SHSAN - SHSA)/(0.001*MAX(0.01,NTOT)/MAX(0.1,CTOT))) - - RMUS = 0.06*0.05/0.454*YGV*ASSA - NDEMA = CRT * SHSA**2/NOTNUL(DERI) - NCR = INSW(SLNT-SLNMIN,0.,MIN(NUPTX,NDEMA))/(YGV*MAX(1E-16,APCANS-RM-RX)*Z1244) - NDEMAD = INSW(LNC-1.5*LNCI, MAX(NDEMA, NDEMD), 0.) - -!*** Nitrogen partitioning between shoots and roots - FNSH = 1./(1.+NCR*DERI/SHSA*CSH/MAX(1E-2,CRT)*NRT/MAX(1E-2,NSH)) - -!*** Carbon partitioning among organs and reserve pools - FCSH = 1./(1.+NCR*DERI/SHSA) - -!*** ji 10.02.14, winter dormancy -!*** ji 16.06.15, ecc/lcc switch - IF (CROP==1) THEN - NDEM = INSW(DS-DSCRIT,INSW(SLNMIN-SLN+1.E-5, MIN(NUPTX,.01*NDEMAD), 0.), & - INSW(SLNMIN-SLN+1.E-5, MIN(NUPTX,NDEMAD), 0.)) - ELSE - NDEM = INSW(SLNMIN-SLN+1.E-5, MIN(NUPTX,NDEMAD), 0.) - ENDIF - - DCSR = Z1244*(1.-FCSH)*ASSA - NUPTN = MIN(NSUP2, NSUP2/NOTNUL(NSUP)*MAX(0.,NDEM-NFIXR/TCP)) - RCSRT = Z1244*ASSA*(1.-FCSH)*(1.-FCRVR)*YGV - LCRT - RNFIXR = NFIX - MIN(NDEM,NFIXR/TCP) - RMLD = 0.06*(1.-FCSH)*ASSA - RNDEMP = (NDEM - NDEMP)/DT !as for RNSUPP, DELT ok - NUPTA = MIN(NSUP1, NSUP1/NOTNUL(NSUP)*MAX(0.,NDEM-NFIXR/TCP)) - - ! Carbon supply from current photo-assimilates for shoot & root growth - DCSS = Z1244* FCSH *ASSA - NUPT = MAX(0., NUPTA + NUPTN + MIN(NDEM, NFIXR/TCP)) - RMUA = 44./12.*0.17*NUPTA - - CALL SINKG(DS,1.,TSN*SEEDW*CFO,YGO,FDS,DCDSR,DCSS,DT,& - DCDSC,DCDS,FLWCS) - - ! Maintenance and total respiration (g CO2 m-2 d-1) - RMUN = 44./12.*2.05*NUPTN - - ! Daily carbon flow for structural stem growth - DCST = DCSS - FLWCS - FCSO = FLWCS/DCSS - - RRMUL = (RMUN+RMUA+RMUS+RMLD-RMUL)/DT - - GAP = MAX(0., DCDS-DCSS) - - !*** ji, 16.06.15, ecc/lcc switch - IF (CROP==1) THEN - IFSH = INSW(DCST-1E-11, 1., LIMIT(0.,1.,DCST/NOTNUL(DCDTP))) - ELSE - IFSH = LIMIT(0.,1.,DCST/NOTNUL(DCDTP)) - ENDIF - - CREMSI = MIN(0.94*CRVS, CRVS/NOTNUL(CRVS+CRVR)*GAP)/0.94 - CREMRI = MIN(0.94*CRVR, CRVR/NOTNUL(CRVS+CRVR)*GAP)/0.94 - CREMS = INSW(DCDS-DCSS, 0., CREMSI) - CREMR = INSW(DCDS-DCSS, 0., CREMRI) - - IF (CROP==1) THEN - RHT = MIN(HTMX-HT, FDH*HTMX*IFSH) - ELSE - RHT = MIN(HTMX-HT, FDH*HTMX*INSW(DCST-1E-4, 1., LIMIT(0.,1.,DCST/NOTNUL(DCDTP)))) - ENDIF - - IF (CROP==1) THEN - CALL SINKG(DS,.1,CDMHT*HTMX*CFV,YGV,FDH*IFSH,DCDTR,DCST,DT, & - DCDTC,DCDT,FLWCT) - ELSE - CALL SINKG(DS,.0,CDMHT*HTMX*CFV,YGV,FDH*IFSH,DCDTR,DCST,DT, & - DCDTC,DCDT,FLWCT) - ENDIF - - RCRVR = FCRVR*DCSR - CREMR - - IF (CROP==1) THEN - RDCDTP = (DCDTC-DCDTP)/DT - ELSE - DCDTP = DCDTC - RDCDTP = 0. - ENDIF - - !ji, the MIN function avoids that a situation occurs during which - !no assimilates are partioned to the leaves. FCSST max. 85% - IF (CROP==1) THEN - FCSST = MIN(.85,INSW(DS-(ESD+0.2), FLWCT/MAX(1E-16,DCSS), 0.)) - !FCSST = INSW(DS-(ESD+0.2), FLWCT/DCSS, 0.) original version - ELSE - FCSST = MIN(.85,INSW(DS-(ESD+0.2), FLWCT/MAX(1E-16,DCSS), 0.)) - ENDIF - - RCSO = Z1244*ASSA*FCSH*FCSO*YGO + 0.94*(CREMS+CREMR)*YGO - RWSO = RCSO / CFO - RDCDSR = MAX(0., (DCDSC-RCSO/YGO))-(FLWCS-MIN(DCDSC,DCSS)) - RWRT = RCSRT/CFV + RCRVR/0.444 - RCSST = Z1244*ASSA* FCSH * FCSST *YGV - - FCLV = REAAND(LAIN-LAIC,ESD-DS)*(1.-FCSO-FCSST) - - RRD = INSW(ROOTD-RDMX, MIN((RDMX-ROOTD)/TCP,(RWRT+LWRT)/(WRB+KR* & - (WRT+WRTD))), 0.) - - RCLV = Z1244*ASSA* FCSH * FCLV * YGV - LCLV - - FCRVS = 1. - FCLV - FCSO - FCSST - - RDCDTR = MAX(0., (DCDTC-RCSST/YGV))-(FLWCT-MIN(DCDTC,DCST)) - RCRVS = FCRVS*DCSS - CREMS - RWLV = RCLV / CFV - - RNRES = NUPT-(LNCMIN*(RCLV+LCLV)+RNCMIN*(RCSRT+LCRT)+STEMNC* & - RCSST)/CFV - - RG = 44./12.*((1.-YGV)/YGV*(RCLV+RCSST+RCSRT+LCLV+LCRT)+ & - (1.-YGO)/YGO* RCSO) - - RWST = RCSST/ CFV + RCRVS/0.444 - RNREOF = INSW (DS-1.0, RNRES, 0.) - RNREOE = INSW (DS-ESD, RNRES, 0.) - - RESTOT = RM+RX+RG + 44./12.*0.06*(CREMS+CREMR) - - CALL RNACC (FNSH,NUPT,RWST,STEMNC,LNCMIN,RNCMIN,LNC,RNC,NLV,NRT,WLV,WRT, & - DT,CB,CX,TM,DS,SEEDNC,RWSO,LNLV,LNRT, RNRT,RNST,RNLV,RTNLV,RNSO) - - RRP = RESTOT / APCAN - - CALL RLAIC(1.*CROP,DS,SLA0,RWLV,LAIC,KN,NLV,RNLV,SLNB,RSLNB, RLAI) - - ! Used for debugging -! if (nowdate(9:12).eq.'2500') then -! write(*,*) nowdate, ' 1 ', DVR -! write(*,*) nowdate, ' 2 ', TDU -! write(*,*) nowdate, ' 3 ', VDU -! write(*,*) nowdate, ' 4 ' -! write(*,*) nowdate, ' 5 ', RCLV -! write(*,*) nowdate, ' 6 ', LCLV -! write(*,*) nowdate, ' 7 ', RCSST -! write(*,*) nowdate, ' 8 ', RCSO -! write(*,*) nowdate, ' 9 ', RCSRT -! write(*,*) nowdate, ' 10 ',LCRT -! write(*,*) nowdate, ' 11 ',LVDS -! write(*,*) nowdate, ' 12 ',RNRT -! write(*,*) nowdate, ' 13 ',RNST -! write(*,*) nowdate, ' 14 ',RNLV -! write(*,*) nowdate, ' 15 ',RNSO -! write(*,*) nowdate, ' 16 ',RTNLV -! write(*,*) nowdate, ' 17 ',LNLV -! write(*,*) nowdate, ' 18 ',LNRT -! write(*,*) nowdate, ' 19 ',RCRVS -! write(*,*) nowdate, ' 20 ',RCRVR -! write(*,*) nowdate, ' 21 ',RNREOE -! write(*,*) nowdate, ' 22 ',RNREOF -! write(*,*) nowdate, ' 23 ',RDCDSR -! write(*,*) nowdate, ' 24 ',RDCDTR -! write(*,*) nowdate, ' 25 ',RSLNB -! write(*,*) nowdate, ' 26 ',RLAI -! write(*,*) nowdate, ' 27 ',RRMUL -! write(*,*) nowdate, ' 27 ',RRMUL -! write(*,*) nowdate, ' 28 ',RNDEMP -! write(*,*) nowdate, ' 29 ',RNSUPP -! write(*,*) nowdate, ' 30 ',NFIX -! write(*,*) nowdate, ' 31 ',RNFIXR -! write(*,*) nowdate, ' 32 ',RDCDTP -! write(*,*) nowdate, ' 33 ',RHT -! write(*,*) nowdate, ' 34 ',RRD -! write(*,*) nowdate, ' 35 ',APCAN -! write(*,*) nowdate, ' 36 ',RESTOT -! write(*,*) nowdate, ' 37 ',NUPT -! write(*,*) nowdate, ' 38 ',LITN -! read(*,*) -! endif - - ! Integration of ODEs - DS = MAX(0., INTGRL(DS, DVR, DT)) - CTDU = MAX(0., INTGRL(CTDU, TDU, DT)) - CVDU = MAX(0., INTGRL(CVDU, VDU, DT)) - CLV = MAX(0., INTGRL (CLV, RCLV, DT)) - CLVD = MAX(0., INTGRL (CLVD, LCLV, DT)) - CSST = MAX(0., INTGRL (CSST, RCSST, DT)) - CSO = MAX(0., INTGRL (CSO, RCSO, DT)) - CSRT = MAX(0., INTGRL (CSRT, RCSRT, DT)) - CRTD = MAX(0., INTGRL (CRTD, LCRT, DT)) - CLVDS = MAX(0.,INTGRL (CLVDS, LVDS, DT)) - NRT = MAX(0.,INTGRL (NRT, RNRT, DT)) - NST = MAX(0.,INTGRL (NST, RNST, DT)) - NLV = MAX(0.,INTGRL (NLV, RNLV, DT)) - NSO = MAX(0.,INTGRL (NSO, RNSO, DT)) - TNLV = MAX(0.,INTGRL (TNLV, RTNLV, DT)) - NLVD = MAX(0.,INTGRL (NLVD, LNLV, DT)) - NRTD = MAX(0.,INTGRL (NRTD, LNRT, DT)) - CRVS = MAX(0.,INTGRL (CRVS, RCRVS, DT)) - CRVR = MAX(0.,INTGRL (CRVR, RCRVR, DT)) - NREOE = MAX(0.,INTGRL(NREOE, RNREOE, DT)) - NREOF = MAX(0.,INTGRL(NREOF, RNREOF, DT)) - DCDSR = MAX(0.,INTGRL(DCDSR, RDCDSR, DT)) - DCDTR = MAX(0.,INTGRL(DCDTR, RDCDTR, DT)) - SLNB = MAX(0.,INTGRL(SLNB, RSLNB, DT)) - LAIC = MAX(0.,INTGRL(LAIC, RLAI, DT)) - RMUL = MAX(0.,INTGRL(RMUL, RRMUL, DT)) - NDEMP = MAX(0.,INTGRL(NDEMP, RNDEMP, DT)) - NSUPP = MAX(0.,INTGRL(NSUPP, RNSUPP, DT)) - NFIXT = MAX(0.,INTGRL(NFIXT, NFIX, DT)) - NFIXR = MAX(0.,INTGRL(NFIXR, RNFIXR, DT)) - DCDTP = MAX(0.,INTGRL(DCDTP, RDCDTP, DT)) - HT = MAX(0.,INTGRL(HT, RHT, DT)) - ROOTD = MAX(1.,INTGRL(ROOTD, RRD, DT)) - TPCAN = MAX(0.,INTGRL(TPCAN, APCAN, DT)) - TRESP = MAX(0.,INTGRL(TRESP, RESTOT, DT)) - TNUPT = MAX(0.,INTGRL(TNUPT, NUPT, DT)) - LITNT = MAX(1e-3,INTGRL(LITNT, LITN, DT)) - - ! Write updated Gecros variables into STATE_GECROS array - STATE_GECROS(1) = DS - STATE_GECROS(2) = CTDU - STATE_GECROS(3) = CVDU - STATE_GECROS(4) = CLV - STATE_GECROS(5) = CLVD - STATE_GECROS(6) = CSST - STATE_GECROS(7) = CSO - STATE_GECROS(8) = CSRT - STATE_GECROS(9) = CRTD - STATE_GECROS(10) = CLVDS - STATE_GECROS(11) = NRT - STATE_GECROS(12) = NST - STATE_GECROS(13) = NLV - STATE_GECROS(14) = NSO - STATE_GECROS(15) = TNLV - STATE_GECROS(16) = NLVD - STATE_GECROS(17) = NRTD - STATE_GECROS(18) = CRVS - STATE_GECROS(19) = CRVR - STATE_GECROS(20) = NREOE - STATE_GECROS(21) = NREOF - STATE_GECROS(22) = DCDSR - STATE_GECROS(23) = DCDTR - STATE_GECROS(24) = SLNB - STATE_GECROS(25) = LAIC - STATE_GECROS(26) = RMUL - STATE_GECROS(27) = NDEMP - STATE_GECROS(28) = NSUPP - STATE_GECROS(29) = NFIXT - STATE_GECROS(30) = NFIXR - STATE_GECROS(31) = DCDTP - STATE_GECROS(32) = HT - STATE_GECROS(33) = ROOTD - STATE_GECROS(34) = TPCAN - STATE_GECROS(35) = TRESP - STATE_GECROS(36) = TNUPT - STATE_GECROS(37) = LITNT - STATE_GECROS(45) = WSO - STATE_GECROS(46) = WSTRAW - STATE_GECROS(47) = GrainNC - STATE_GECROS(48) = StrawNC - STATE_GECROS(49) = LAI - STATE_GECROS(50) = TLAI - - ! Used for debugging -! if(debugging) then -! if (nowdate(9:12).eq.'1200') then -! write(*,*) nowdate, RSD -! write(*,*) "DS: ", DS -! write(*,*) "CTDU: ",CTDU -! write(*,*) "CVDU: ",CVDU -! write(*,*) "Carbon in living leaves CLV: ",CLV -! write(*,*) "Carbon in dead leaves CLVD: ",CLVD -! write(*,*) "Carbon in structural stems CSST: ",CSST -! write(*,*) "Carbon in storage organs CSO: ",CSO -! write(*,*) "Carbon in structural roots CSRT: ",CSRT -! write(*,*) "Carbon in living roots CRT: ",CRT -! write(*,*) "Carbon in dead roots CRTD: ",CRTD -! write(*,*) "Rooting depth ROOTD: ",ROOTD -! write(*,*) "Carbon litter on soil CLVDS: ",CLVDS -! write(*,*) "Carbon in stem reserves CRVS: ",CRVS -! write(*,*) "Carbon in root reserves CRVR: ",CRVR -! write(*,*) "Total leaf area index TLAI: ",TLAI -! write(*,*) "Dead leaf area index DLAI: ",DLAI -! write(*,*) "Living leaf area index GLAI: ",LAI, LAIC, LAIN -! write(*,*) "Specific leaf area index SLA: ",SLA -! write(*,*) "Carbon balance check CCHK: ",CCHK -! write(*,*) "Nitrogen balance check NCHK: ",NCHK -! read(*,*) -! endif -! endif - -! ---------------------------------------------------------------------- -END SUBROUTINE gecros -! ---------------------------------------------------------------------- - -!******************** SUBROUTINES FOR CROP SIMULATION ******************* -!*----------------------------------------------------------------------* -!* SUBROUTINE TUNIT * -!* Purpose: This subroutine calculates the daily amount of thermal day * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DS R4 Development stage - I * -!* TMAX R4 Daily maximum temperature oC I * -!* TMIN R4 Daily minimum temperature oC I * -!* DIF R4 Daytime plant-air temperature differential oC I * -!* DAYL R4 Astronomic daylength (base = 0 degrees) h I * -!* TBD R4 Base temperature for phenology oC I * -!* TOD R4 Optimum temperature for phenology oC I * -!* TCD R4 Ceiling temperature for phenology oC I * -!* TSEN R4 Curvature for temperature response - I * -!* TDU R4 Rate of thermal days increase d s-1 O * -!* VDU R4 Rate of vernalization days increase d s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE TUNIT(CROP,DS,TAIR,DIF,DAYL,TBD,TOD,TCD,TBDV,TODV,TCDV,TSEN,TDU,VDU) - IMPLICIT REAL (A-Z) - INTEGER I - -!*---assuming development rate at supra-optimum temperatures during -!* the reproductive phase equals that at the optimum temperature - IF (DS.GT.1.) THEN - TAIR = MIN (TAIR,TOD) - ELSE - TAIR = TAIR - ENDIF - -!*---vernalization response (Lenz 2007, p. 26) -!*---Ingwersen 29.6.2010 - IF (TAIR.LT.TBDV .OR. TAIR.GT.TCDV) THEN - TUV = 0. - ELSE - TUV = (((TCDV-TAIR)/(TCDV-TODV))*((TAIR-TBDV)/(TODV-TBDV))**((TODV-TBDV)/(TCDV-TODV)))**TSEN - ENDIF - -!*---instantaneous thermal unit based on bell-shaped temperature response - IF (TAIR.LT.TBD .OR. TAIR.GT.TCD) THEN - TU = 0. - ELSE - TU = (((TCD-TAIR)/(TCD-TOD))*((TAIR-TBD)/(TOD-TBD))**((TOD-TBD)/(TCD-TOD)))**TSEN - ENDIF - -!*---daily thermal unit -!*** ji, 16.6.15, ecc/lcc switch - IF (CROP==1) THEN - TDU = TU/TCP - ELSE - TDU = INSW(DS-2.,TU/TCP,0.) - ENDIF - VDU = TUV/TCP - - RETURN - END SUBROUTINE TUNIT - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PHENO * -!* Purpose: This subroutine calculates phenological development rate. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DS R4 Development stage - I * -!* SLP R4 Crop type(1. for short-day,-1. for long-day) - I * -!* DDLP R4 Daylength for photoperiodism h I * -!* SPSP R4 DS for start of photoperiod-sensitive phase - I * -!* EPSP R4 DS for end of photoperiod-sensitive phase - I * -!* PSEN R4 Photoperiod sensitivity (+ for SD, - for LD) h-1 I * -!* MTDV R4 Minimum thermal days for vegetative phase d I * -!* MTDR R4 Minimum thermal days for reproductive phase d I * -!* TDU R4 Thermal unit - I * -!* CVDU R4 Cumulative vernalization unit (ji, 29.6) - I * -!* DVR R4 Development rate s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE PHENO (CROP,DS,SLP,DDLP,SPSP,EPSP,PSEN,MTDV,MTDR,TDU,CVDU,DVR) - IMPLICIT REAL (A-Z) - -!*---determining if it is for short-day or long-day crop - IF (SLP.LT.0.) THEN - MOP = 18. !minimum optimum photoperiod for long-day crop - DLP = MIN(MOP,DDLP) - ELSE - MOP = 11. !maximum optimum photoperiod for short-day crop - DLP = MAX(MOP,DDLP) - ENDIF - -!*---effect of photoperiod on development rate - IF (DS.LT.SPSP .OR. DS.GT.EPSP) THEN - EFP = 1. - ELSE - EFP = MAX(0., 1.-PSEN*(DLP-MOP)) - ENDIF - -!*---effect of vernalization (ji, 21.6.10) -!*** ji, 16.6.15, ecc/lcc switch - IF (CROP==1) THEN - EFV = CVDU**5./(22.5**5. + CVDU**5.) - ELSE - EFV = 1.0 - ENDIF - -!*---development rate of vegetative and reproductive phases -!*---extended for vernalization according to Lenz (2007); ji: 21.6.2010 - IF (DS.LE.0.4) THEN - DVR = 1./MTDV*TDU*EFP*EFV - ENDIF - - IF (DS.GT.0.4 .AND. DS.LE.1.0) THEN - DVR = 1./MTDV*TDU*EFP - ENDIF - - IF (DS.GT.1.0) THEN - DVR = 1./MTDR*TDU - ENDIF - - RETURN - END SUBROUTINE PHENO - - -!*----------------------------------------------------------------------* -!* SUBROUTINE RNACC * -!* Purpose: This subroutine calculates rate of N accumulation in organs* -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* FNSH R4 Fraction of new N partitioned to shoot - I * -!* NUPT R4 Nitrogen uptake at a time step gN/m2/s I * -!* RWST R4 Rate of stem weight g/m2/s I * -!* STEMNC R4 Nitrogen concentration in stem gN/g I * -!* LNCMIN R4 Minimum N concentration in leaf gN/g I * -!* RNCMIN R4 Minimum N concentration in root gN/g I * -!* LNC R4 Nitrogen concentration in leaf gN/g I * -!* RNC R4 Nitrogen concentration in root gN/g I * -!* NLV R4 Canopy (green)leaf N content gN/m2 I * -!* NRT R4 (living)root N content gN/m2 I * -!* WLV R4 Canopy (green)leaf weight g/m2 I * -!* WRT R4 (living)Root weight g/m2 I * -!* DELT R4 Time step of simulation s I * -!* CB R4 Factor for initial N concent. of seed-fill - I * -!* CX R4 Factor for final N concent. of seed-fill - I * -!* TM R4 DS when transition from CB to CX is fastest - I * -!* DS R4 Development stage - I * -!* SEEDNC R4 Standard seed N concentration gN/g I * -!* RWSO R4 growth rate of seed g/m2/s I * -!* LNLV R4 Loss rate of NLV due to senescence gN/m2/s I * -!* LNRT R4 Loss rate of NRT due to senescence gN/m2/s I * -!* RNRT R4 rate of N accumulation in root gN/m2/s O * -!* RNST R4 rate of N accumulation in stem gN/m2/s O * -!* RNLV R4 rate of N accumulation in leaf gN/m2/s O * -!* RTNLV R4 Positive value of RNLV gN/m2/s O * -!* RNSO R4 rate of N accumulation in seed(storage organ)gN/m2/s O * -!*----------------------------------------------------------------------* - SUBROUTINE RNACC (FNSH,NUPT,RWST,STEMNC,LNCMIN,RNCMIN,LNC,RNC, & - NLV,NRT,WLV,WRT,DELT,CB,CX,TM,DS,SEEDNC, & - RWSO,LNLV,LNRT, RNRT,RNST,RNLV,RTNLV,RNSO) - IMPLICIT REAL (A-Z) - -!*---amount of N partitioned to shoot - NSHN = FNSH * NUPT - -!*---leaf N (NLVA) or root N (NRTA) available for remobilization within a day - NLVA = INSW(LNCMIN-LNC, NLV-WLV*LNCMIN, 0.)/TCP - NRTA = INSW(RNCMIN-RNC, NRT-WRT*RNCMIN, 0.)/TCP - - NTA = NLVA + NRTA - -!*---rate of N accumulation in stem - RNST = RWST * INSW(-NTA,STEMNC,0.) - -!*---expected N dynamics during seed(storage organ) filling - CDS = CB+(CX-CB)*(4.-TM-DS)/(2.-TM)*(DS-1.)**(1./(2.-TM)) - ENSNC = LIMIT(CB,CX,CDS) * SEEDNC - -!*---rate of N accumulation in seed - NGS = NSHN - RNST - ENSNC*RWSO - NONC = MAX(0.,INSW(NTA+NGS,(NTA+NSHN-RNST)/NOTNUL(RWSO),ENSNC)) - RNSO = RWSO*NONC - -!*---rate of N accumulation in leaf! - - NLVN = INSW(NTA+NGS,-NLVA-LNLV,-NLVA/NOTNUL(NTA)*(-NGS)-LNLV) - GNLV = INSW(NGS, NLVN, NSHN-RNST-RNSO-LNLV) - RNLV = MAX (-NLV+1.E-7, GNLV) - RTNLV = MAX(0., RNLV) - -!*---rate of N accumulation in root - NRTN = INSW(NTA+NGS, NUPT-NSHN-NRTA-LNRT, & - NUPT-NSHN-NRTA/NOTNUL(NTA)*(-NGS)-LNRT) - GNRT = INSW(NGS, NRTN, NUPT-NSHN-LNRT) - RNRT = MAX (-NRT+5.E-8, GNRT) - - RETURN - END SUBROUTINE RNACC - - -!*----------------------------------------------------------------------* -!* SUBROUTINE RLAIC * -!* Purpose: This subroutine calculates the daily increase of leaf * -! area index (m2 leaf/m2 ground/day). * -! * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DS R4 Development stage - I * -!* SLA0 R4 Specific leaf area constant m2 g-1 I * -!* RWLV R4 Rate of increment in leaf weight g m-2 s-1 I * -!* LAI R4 Leaf area index m2 m-2 I * -!* KN R4 Leaf nitrogen extinction coefficient m2 m-2 I * -!* NLV R4 Total leaf nitrogen content in a canopy g m-2 I * -!* RNLV R4 Rate of increment in NLV g m-2 s-1 I * -!* SLNB R4 Nitrogen content of bottom leaves g m-2 I * -!* RSLNB R4 Rate of increment in SLNB g m-2 s-1 I * -!* RLAI R4 Rate of increment in leaf area index m2 m-2s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE RLAIC(CROP,DS,SLA0,RWLV,LAI,KN,NLV,RNLV,SLNB,RSLNB, RLAI) - IMPLICIT REAL (A-Z) - - SLNB = MAX(1E-2, SLNB) - !*---rate of LAI driven by carbon supply - RLAI = INSW(RWLV, MAX(-LAI+1.E-5,SLA0*RWLV), SLA0*RWLV) - - !*---rate of LAI driven by nitrogen during juvenile phase - !*** ji, 16.6.15, ecc/lcc switch - IF ((CROP==2) .AND. (LAI.LT.1.5) .AND. (DS.LT.0.75)) THEN - RLAI = MAX(0.,(SLNB*RNLV-NLV*RSLNB)/SLNB/(SLNB+KN*NLV)) - ENDIF - - - RETURN - END SUBROUTINE RLAIC - - -!*----------------------------------------------------------------------* -!* SUBROUTINE BETAF * -!* Purpose: This subroutine calculates the dynamics of expected growth * -!* of sinks, based on the beta sigmoid growth equation * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DVR R4 Development rate s-1 I * -!* TE R4 Stage at which sink growth stops - I * -!* TX R4 Stage at which sink growth rate is maximal - I * -!* TI R4 Stage of a day considered - I * -!* FD R4 Relative expected growth of a sink at a day s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE BETAF(DVRX,TE,TX,TI, FD) - - REAL, INTENT(IN) :: DVRX, TE, TX, TI - REAL, INTENT(OUT) :: FD - - FD = DVRX*(2.*TE-TX)*(TE-TI)/TE/(TE-TX)**2*(TI/TE)**(TX/(TE-TX)) - !FD = DVRX*(TE-TI)/(TE-TX)*(TI/TX)**(TX/(TE-TX)) !Eq. a 1a Yin et al 2003 - - END SUBROUTINE BETAF - - -!*----------------------------------------------------------------------* -!* SUBROUTINE SINKG * -!* Purpose: This subroutine calculates carbon demand for sink growth. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DS R4 Development stage - I * -!* SSG R4 Stage at which sink growth starts - I * -!* TOTC R4 Total carbon in a sink at end of its growth g C/m2 I * -!* YG R4 Growth efficiency g C/g C I * -!* FD R4 Relative expected growth of a sink at a day s-1 I * -!* DCDR R4 Shortfall of C demand in previous days g C/m2 I * -!* DCS R4 Daily C supply for sink growth g C/m2/s I * -!* DELT R4 Time step of integration s I * -!* DCDC R4 C demand of the current day g C/m2/s O * -!* DCD R4 Daily C demand for sink growth g C/m2/s O * -!* FLWC R4 Flow of current assimilated C to sink g C/m2/s O * -!*----------------------------------------------------------------------* - SUBROUTINE SINKG(DS,SSG,TOTC,YG,FD,DCDR,DCS,DELT,DCDC,DCD,FLWC) - IMPLICIT REAL (A-Z) - -!*---expected demand for C of the current time step - DCDC = INSW (DS-SSG, 0., TOTC/YG*FD) - -!*---total demand for C at the time step considered - DCD = DCDC + MAX(0.,DCDR)/DELT - -!*---flow of current assimilated carbon to sink - FLWC = MIN(DCD, DCS) - - RETURN - END SUBROUTINE SINKG - - -!*----------------------------------------------------------------------* -!* SUBROUTINE ASTRO (from the SUCROS model) * -!* Purpose: This subroutine calculates astronomic daylength, * -!* diurnal radiation characteristics such as the daily * -!* integral of sine of solar elevation and solar constant. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* DOY R4 Daynumber (Jan 1st = 1) - I * -!* LAT R4 Latitude of the site degree I * -!* INSP R4 Inclination of sun angle for computing DDLP degree I * -!* SC R4 Solar constant J m-2 s-1 O * -!* SINLD R4 Seasonal offset of sine of solar height - O * -!* COSLD R4 Amplitude of sine of solar height - O * -!* DAYL R4 Astronomic daylength (base = 0 degrees) h O * -!* DDLP R4 Photoperiodic daylength h O * -!* DSINBE R4 Daily total of effective solar height s d-1 O * -!* * -!* FATAL ERROR CHECKS (execution terminated, message) * -!* condition: LAT > 67, LAT < -67 * -!* * -!* FILE usage : none * -!*----------------------------------------------------------------------* - SUBROUTINE ASTRO (DOY,LAT,INSP,SC,SINLD,COSLD,DAYL,DDLP,DSINBE) - IMPLICIT REAL (A-Z) - -!*---PI and conversion factor from degrees to radians - PI = 3.141592654 - RAD = PI/180. -!*---check on input range of parameters - IF (LAT.GT.67.) STOP 'ERROR IN ASTRO: LAT> 67' - IF (LAT.LT.-67.) STOP 'ERROR IN ASTRO: LAT>-67' - -!*---declination of the sun as function of daynumber (DOY) - DEC = -ASIN (SIN (23.45*RAD)*COS (2.*PI*(DOY+10.)/365.)) - -!*---SINLD, COSLD and AOB are intermediate variables - SINLD = SIN (RAD*LAT)*SIN (DEC) - COSLD = COS (RAD*LAT)*COS (DEC) - AOB = SINLD/COSLD - -!*---daylength (DAYL) - DAYL = 12.0*(1.+2.*ASIN (AOB)/PI) - DDLP = 12.0*(1.+2.*ASIN((-SIN(INSP*RAD)+SINLD)/COSLD)/PI) - - DSINB = 3600.*(DAYL*SINLD+24.*COSLD*SQRT (1.-AOB*AOB)/PI) - DSINBE = 3600.*(DAYL*(SINLD+0.4*(SINLD*SINLD+COSLD*COSLD*0.5))+ & - 12.0*COSLD*(2.0+3.0*0.4*SINLD)*SQRT (1.-AOB*AOB)/PI) - -!*---solar constant (SC) - SC = 1367.*(1.+0.033*COS(2.*PI*(DOY-10.)/365.)) - - RETURN - END SUBROUTINE ASTRO - - -!*----------------------------------------------------------------------* -!* SUBROUTINE TOTPT * -!* Purpose: This subroutine calculates daily total gross photosynthesis* -!* and transpiration by performing a Gaussian integration * -!* over time. At five different times of the day, temperature * -!* and radiation are computed to determine assimilation * -!* and transpiration whereafter integration takes place. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* HOD R4 Hour of the day h I * -!* SC R4 Solar constant J m-2 s-1 I * -!* SINLD R4 Seasonal offset of sine of solar height - I * -!* COSLD R4 Amplitude of sine of solar height - I * -!* DAYL R4 Astronomic daylength (base = 0 degrees) h I * -!* DSINBE R4 Daily total of effective solar height s d-1 I * -!* RSD R4 Global radiation J m-2 s-1 I * -!* TAIR R4 Air temperature oC I * -!* DVP R4 Vapour pressure kPa I * -!* WNM R4 daily average wind speed (>=0.1 m/s) m s-1 I * -!* C3C4 R4 Crop type (=1 for C3, -1 for C4 crops) - I * -!* LAI R4 (green)Leaf area index m2 m-2 I * -!* TLAI R4 Total Leaf area index m2 m-2 I * -!* HT R4 Plant height m I * -!* LWIDTH R4 Leaf width m I * -!* RD R4 Rooting depth cm I * -!* SD1 R4 Depth of evaporative upper soil layer cm I * -!* RSS R4 Soil resistance,equivalent to leaf stomata s m-1 I * -!* BLD R4 Leaf angle from horizontal degree I * -!* KN R4 Leaf nitrogen extinction coefficient m2 m-2 I * -!* KW R4 Windspeed extinction coefficient in canopy m2 m-2 I * -!* SLN R4 Average leaf nitrogen content in canopy g m-2 I * -!* SLNT R4 Top-leaf nitrogen content g m-2 I * -!* SLNN R4 Value of SLNT with small plant-N increment g m-2 I * -!* SLNMIN R4 Minimum or base SLNT for photosynthesis g m-2 I * -!* DWSUP R4 Daily water supply for evapotranspiration mm s-1 I * -!* CO2A R4 Ambient CO2 concentration ml m-3 I * -!* LS R4 Lodging severity - I * -!* EAJMAX R4 Energy of activation for Jmax J mol-1 I * -!* XVN R4 Slope of linearity between Vcmax & leaf N umol/g/s I * -!* XJN R4 Slope of linearity between Jmax & leaf N umol/g/s I * -!* THETA R4 Convexity for light response of e-transport - I * -!* WCUL R4 Water content of the upper soil layer m3 m-3 I * -!* FVPD R4 Slope for linear effect of VPD on Ci/Ca (kPa)-1 I * -!* PPCAN R4 Potential canopy CO2 assimilation g m-2 s-1 O * -!* APCANS R4 Actual standing-canopy CO2 assimilation g m-2 s-1 O * -!* APCANN R4 APCANS with small plant-N increment g m-2 s-1 O * -!* APCAN R4 Actual canopy CO2 assimilation g m-2 s-1 O * -!* PTCAN R4 Potential canopy transpiration mm s-1 O * -!* ATCAN R4 Actual canopy transpiration mm s-1 O * -!* PESOIL R4 Potential soil evaporation mm s-1 O * -!* AESOIL R4 Actual soil evaporation mm s-1 O * -!* DIFS R4 Soil-air temp. difference oC O * -!* DIFSU R4 Sunlit leaf-air temp. diff. oC O * -!* DIFSH R4 Shaded leaf-air temp. diff. oC O * -!* DAPAR R4 PAR absorbed by crop canopy J m-2 s-1 O * -!* RCAN R4 Canopy resistance s/m 0 * -!*----------------------------------------------------------------------* -SUBROUTINE TOTPT(HOD,DS, SC,SINLD,COSLD,DAYL,DSINBE,RSD,TAIR, DVP, & - WNM,C3C4,LAI,TLAI,HT,LWIDTH,RD,SD1,RSS,BLD,KN,KW, & - SLN,SLNT,SLNN,SLNMIN,FB,DWSUP,CO2A,LS,EAJMAX, & - XVN,XJN,THETA,WCUL,FVPD,RB,RT,RTS,PPCAN,APCANS, & - APCANN,APCAN,PTCAN,ATCAN,PESOIL,AESOIL,DIFS,DIFSU,DIFSH,DAPAR, & - RCAN, ATRJC, ATRJS, FSR, FRSU, FRSH, ARSWSU, ARSWSH) - - REAL, INTENT(IN) :: HOD,DS,SC,SINLD,COSLD,DAYL,DSINBE,RSD,TAIR, DVP, & - WNM,C3C4,LAI,TLAI,HT,LWIDTH,RD,SD1,RSS,BLD,KN,KW, & - SLN,SLNT,SLNN,SLNMIN,FB,DWSUP,CO2A,LS,EAJMAX, & - XVN,XJN,THETA,WCUL,FVPD,RT,RTS !RB - - REAL, INTENT(INOUT) :: PPCAN,APCANS,APCANN,APCAN,PTCAN,ATCAN,PESOIL, & - AESOIL,DIFS,DIFSU,DIFSH,DAPAR,RCAN,ATRJC,ATRJS,FSR,FRSU,FRSH,ARSWSU,ARSWSH - REAL :: ACO2I,ADIFS,ADIFSH,ADIFSU,ANIRSH,ANIRSU,ANRAD,APAR,APARSH - REAL :: APARSU,ASVP,ATMTR,ATRJSH,ATRJSU,ATSH,ATSU,AV_Albedo - REAL :: AV_RSWSH,AV_RSWSU,BL,CUMRSD,DATRJC,DATRJS,DNRAD,FRDF - REAL :: GBHC,GBHLF,GBHSH,GBHSU,IAE,IAP,IAPL,IAPN,IAPNN,IAPS,IAT,IPE - REAL :: IPH,IPHSOIL,IPP,IPPL,IPT,IRDL,KB,KBPNIR,KBPPAR,KDPNIR,KDPPAR - REAL :: NIR,NIRDF,NIRDR,NPSH,NPSHN,NPSU,NPSUN,NRADS,NRADSH,PANSH,PANSU - REAL :: PAR,NRADSU,PARDF,PARDR,PASSH,PASSU,PCBNIR,PCBPAR,PCDNIR,PCDPAR - REAL :: PHCAN,PHSH,PHSOIL,PHSU,PI,PLFSH,PLFSU,PSNIR,PSPAR,PT1,PTSH,PTSU - REAL :: RBHS,RBHSH,RBHSU,RBWS,RBWSH,RBWSU,RSWSH,RSWSU,SCPNIR - REAL :: SCPPAR,SINB,SLOPSH,SLOPSU,WND,WSUP,WSUP1,Albedo,RB, DSsw - REAL :: TLEAFSH, TLEAFSU - - PI = 3.141592654 - -!*---output-variables set to 0. and five different times of a day(HOUR) - PPCAN = 0. - APCANS = 0. - APCANN = 0. - APCAN = 0. - PTCAN = 0. - PHCAN = 0. - ATCAN = 0. - PESOIL = 0. - AESOIL = 0. - PHSOIL = 0. - DIFS = 0. - DIFSU = 0. - DIFSH = 0. - DAPAR = 0. - DNRAD = 0. - DATRJC = 0. - DATRJS = 0. - AV_RSWSU = 0. - AV_RSWSH = 0. - AV_Albedo = 0. - CUMRSD = 0. - -!*---sine of solar elevation - SINB = MAX (.01, SINLD+COSLD*COS(2.*PI*(HOD-12.)/24.)) - -!*---daytime course of water supply - WSUP = DWSUP - WSUP1 = WSUP*SD1/RD - -!*---daytime course of wind speed - WND = WNM !m s-1 - -!*---total incoming PAR and NIR - PAR = (1.-FB)*0.5*RSD !J m-2 s-1 - NIR = (1.-FB)*0.5*RSD !J m-2 s-1 - -!*---diffuse light fraction (FRDF) from atmospheric transmission (ATMTR) - ATMTR = PAR/(0.5*SC*SINB) ! unitless, fraction - - IF (ATMTR.LE.0.22) THEN - FRDF = 1. - ELSE IF (ATMTR.GT.0.22 .AND. ATMTR.LE.0.35) THEN - FRDF = 1.-6.4*(ATMTR-0.22)**2 - ELSE - FRDF = 1.47-1.66*ATMTR - ENDIF - - FRDF = MAX (FRDF, 0.15+0.85*(1.-EXP (-0.1/SINB))) - -!*---incoming diffuse PAR (PARDF) and direct PAR (PARDR) - PARDF = PAR * FRDF !J m-2 s-1 - PARDR = PAR - PARDF !J m-2 s-1 - -!*---incoming diffuse NIR (NIRDF) and direct NIR (NIRDR) - NIRDF = NIR * FRDF !J m-2 s-1 - NIRDR = NIR - NIRDF !J m-2 s-1 - -!*---extinction and reflection coefficients - BL = BLD*PI/180. !leaf angle, conversion to radians - CALL KBEAM (SINB,BL,KB) - - SCPPAR = 0.2 !leaf scattering coefficient for PAR - SCPNIR = 0.8 !leaf scattering coefficient for NIR - CALL KDIFF (TLAI,BL,SCPPAR, KDPPAR) - CALL KDIFF (TLAI,BL,SCPNIR, KDPNIR) - - CALL REFL (SCPPAR,KB, KBPPAR,PCBPAR) - CALL REFL (SCPNIR,KB, KBPNIR,PCBNIR) - - PCDPAR = 0.057 !canopy diffuse PAR reflection coefficient - PCDNIR = 0.389 !canopy diffuse NIR reflection coefficient - -!*---fraction of sunlit and shaded components in canopy -!* ji 4.7.11 LAI -> TLAI - FRSU = 1./KB/TLAI*(1.-EXP(-KB*TLAI)) - FRSH = 1.-FRSU - -!*---leaf boundary layer conductance for canopy, sunlit and shaded leaves !m s-1 - GBHLF = 0.01*SQRT(WND/LWIDTH) - RBHSU = RB/(FRSU*LAI) !boundary layer resistance to heat,sunlit part !s m-1 - RBWSU = RB/(FRSU*LAI) !boundary layer resistance to H2O, sunlit part - RBHSH = RB/(FRSH*LAI) !boundary layer resistance to heat,shaded part - RBWSH = RB/(FRSH*LAI) !boundary layer resistance to H2O, shaded part - RCAN = WNM*10. - -!*---boundary layer resistance for soil !s m-1 - RBHS = 172.*SQRT(0.05/MAX(0.1,WND*EXP(-KW*TLAI))) - RBWS = 0.93*RBHS - -!*---photosynthetically active nitrogen for sunlit and shaded leaves - CALL PAN (SLNT,SLNMIN,LAI,KN,KB, NPSU,NPSH) - CALL PAN (SLNN,SLNMIN,LAI,KN,KB, NPSUN,NPSHN) - -!*---absorbed PAR and NIR by sunlit leaves and shaded leaves -!* ji 4.7.11 LAI->TLAI -!* Ansonsten fuehrt es dazu, dass nach dem Abreifen die Albedo auf >0.7 ansteigt und vom Bestand viel -!* zu wenig Energie mehr absorbiert wird - CALL LIGAB (SCPPAR,KB,KBPPAR,KDPPAR,PCBPAR,PCDPAR,PARDR,PARDF,TLAI,APARSU,APARSH) - CALL LIGAB (SCPNIR,KB,KBPNIR,KDPNIR,PCBNIR,PCDNIR,NIRDR,NIRDF,TLAI,ANIRSU,ANIRSH) - APAR = APARSU+APARSH !J m-2 s-1 - -!*---absorbed total radiation (PAR+NIR) by sunlit and shaded leaves - ATRJSU = APARSU+ANIRSU !J m-2 s-1 - ATRJSH = APARSH+ANIRSH !J m-2 s-1 - ATRJC = ATRJSH + ATRJSU !J m-2 s-1 - -!*---absorbed total radiation (PAR+NIR) by soil - PSPAR = 0.1 !soil PAR reflection - PSNIR = INSW(WCUL-0.5, 0.52-0.68*WCUL, 0.18) !soil NIR reflection - ATRJS=(1.-PSPAR)*(PARDR*EXP(-KBPPAR*TLAI)+PARDF*EXP(-KDPPAR*TLAI)) & - +(1.-PSNIR)*(NIRDR*EXP(-KBPNIR*TLAI)+NIRDF*EXP(-KDPNIR*TLAI)) - -!* ji 4.7.11 Berechnung der Albedo eingefuegt. Nachts wird die Albedo auf einen Durchschnittswert gesetzt (.2) - FSR = RSD-ATRJC-ATRJS - - if (RSD.gt.0) then - Albedo = (RSD-ATRJC-ATRJS)/RSD - else - Albedo = .2 - endif - -!*---instantaneous potential photosynthesis and transpiration - CALL PPHTR(FRSU,TAIR,DVP,CO2A,C3C4,FVPD,APARSU,NPSU,RBWSU,RBHSU, & - RT*FRSU,ATRJSU,ATMTR,EAJMAX,XVN,XJN,THETA,PLFSU, & - PTSU,PHSU,RSWSU,NRADSU,SLOPSU) - - CALL PPHTR(FRSH,TAIR,DVP,CO2A,C3C4,FVPD,APARSH,NPSH,RBWSH,RBHSH, & - RT*FRSH,ATRJSH,ATMTR,EAJMAX,XVN,XJN,THETA,PLFSH, & - PTSH,PHSH,RSWSH,NRADSH,SLOPSH) - - IPP = PLFSU + PLFSH !gCO2/m2/s - IPT = PTSU + PTSH !mm s-1 - IPH = PHSU + PHSH !J m-2 s-1 - ANRAD = NRADSU + NRADSH !J m-2 s-1 - -!*--- PT1: Potential transpiration using water from the upper evaporative layer (mm s-1) -!*--- SD1: thickness of upper evaporative layer (cm); default value: 5 cm -!*--- RD: Rooting depth (cm) - PT1 = IPT * SD1/RD - -!*---instantaneous potential soil evaporation - CALL PEVAP (TAIR,DVP,RSS,RTS,RBWS,RBHS,ATRJS,ATMTR, & - PT1,WSUP1,IPE,IPHSOIL,NRADS) - -!*---instantaneous actual soil evaporation, actual canopy -!* transpiration and photosynthesis - IAE = MIN (IPE,IPE/(PT1+IPE)*WSUP1) !actual soil evaporation mm s-1 - IAT = MIN (IPT,PT1/(PT1+IPE)*WSUP1+WSUP-WSUP1) !actual transpiration mm s-1 - ATSU = PTSU/IPT*IAT !actual transpiration of sunlit leaves mm s-1 - ATSH = PTSH/IPT*IAT !actual transpiration of shaded leaves mm s-1 - - CALL DIFLA (NRADS,IAE,RBHS,RTS, ADIFS) - - CALL APHTR (TAIR,APARSU,DVP,CO2A,C3C4,FVPD,NRADSU,ATSU,PTSU, & - RT*FRSU,RBHSU,RBWSU,RSWSU,SLOPSU,NPSU,NPSUN, & - EAJMAX,XVN,XJN,THETA,PASSU,PANSU,ADIFSU,ARSWSU) - - CALL APHTR (TAIR,APARSH,DVP,CO2A,C3C4,FVPD,NRADSH,ATSH,PTSH, & - RT*FRSH,RBHSH,RBWSH,RSWSH,SLOPSH,NPSH,NPSHN, & - EAJMAX,XVN,XJN,THETA,PASSH,PANSH,ADIFSH,ARSWSH) - - IAPS = PASSU + PASSH !actual canopy photosynthesis gCO2 m-2 s-1 - IAPN = PANSU + PANSH !actual canopy photosynthesis with a small N increment gCO2 m-2 s-1 - IAP = IAPS - IAPNN = IAPN - -!*---integration of assimilation and transpiration to a daily total - PPCAN = IPP - APCANS = IAPS - APCANN = IAPNN - APCAN = IAP - PTCAN = IPT - PHCAN = IPH - ATCAN = IAT - PESOIL = IPE - AESOIL = IAE - PHSOIL = IPHSOIL - DIFS = ADIFS - DIFSU = ADIFSU - DIFSH = ADIFSH - DAPAR = APAR - DNRAD = ANRAD !net absorbed radiation by canopy - DATRJC = ATRJC !absorbed radiation by canopy - DATRJS = ATRJS !absorbed radiation by soil - CUMRSD = RSD !incoming solar radiation - AV_RSWSU = RSWSU - AV_RSWSH = RSWSH - AV_Albedo = Albedo - TLEAFSU = TAIR + DIFSU - TLEAFSH = TAIR + DIFSH - - RETURN - END SUBROUTINE TOTPT - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PPHTR * -!* Purpose: This subroutine calculates potential leaf photosynthesis * -!* and transpiration. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* FRAC R4 Fraction of leaf classes (sunlit vs shaded) - I * -!* TAIR R4 Air temperature oC I * -!* DVP R4 Vapour pressure kPa I * -!* CO2A R4 Ambient CO2 concentration ml m-3 I * -!* C3C4 R4 Crop type (=1. for C3, -1 for C4 crops) - I * -!* FVPD R4 Slope for linear effect of VPD on Ci/Ca (kPa)-1 I * -!* PAR R4 Absorbed photosynth. active radiation J m-2 s-1 I * -!* NP R4 Photosynthetically active N content g m-2 I * -!* RBW R4 Leaf boundary layer resistance to water s m-1 I * -!* RBH R4 Leaf boundary layer resistance to heat s m-1 I * -!* RT R4 Turbulence resistance s m-1 I * -!* ATRJ R4 Absorbed global radiation J m-2 s-1 I * -!* ATMTR R4 Atmospheric transmissivity - I * -!* EAJMAX R4 Energy of activation for Jmax J mol-1 I * -!* XVN R4 Slope of linearity between Vcmax & leaf N umol/g/s I * -!* XJN R4 Slope of linearity between Jmax & leaf N umol/g/s I * -!* THETA R4 Convexity for light response of e-transport - I * -!* PLF R4 Potential leaf photosynthesis gCO2/m2/s O * -!* PT R4 Potential leaf transpiration mm s-1 O * -!* PH R4 Potential leaf sensible heat flux J m-2 s-1 O * -!* RSW R4 Potential stomatal resistance to water s m-1 O * -!* NRADC R4 Net leaf absorbed radiation J m-2 s-1 O * -!* SLOPEL R4 Slope of saturated vapour pressure curve kPa oC-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE PPHTR(FRAC,TAIR,DVP,CO2A,C3C4,FVPD,PAR,NP,RBW,RBH,RT, & - ATRJ,ATMTR,EAJMAX,XVN,XJN,THETA,PLF,PT,PH,RSW,NRADC,SLOPEL) - IMPLICIT REAL (A-Z) - -!*---first-round calculation to determine leaf temperature - CALL ICO2 (TAIR,DVP,FVPD,CO2A,C3C4, SVP,FCO2I) - - CALL PHOTO(C3C4,PAR,TAIR,FCO2I,NP,EAJMAX,XVN,XJN,THETA,FPLF, & - FLRD) - - VPD = MAX (0., SVP- DVP) - SLOPE = 4158.6 * SVP/(TAIR + 239.)**2 - CALL GCRSW(FPLF,FLRD,TAIR,CO2A,FCO2I,RBW,RT, FRSW) - - CALL PTRAN(FRSW,RT,RBW,RBH,ATRJ,ATMTR,FRAC,TAIR,DVP, & - SLOPE, VPD, FPT, FPH, FNRADC) - - CALL DIFLA (FNRADC,FPT,RBH,RT, FDIF) - - TLEAF = TAIR + FDIF - -!*---second-round calculation to determine potential photosynthesis -!* and transpiration - CALL ICO2 (TLEAF,DVP,FVPD,CO2A,C3C4, SVPL,CO2I) - CALL PHOTO (C3C4,PAR,TLEAF,CO2I,NP,EAJMAX,XVN,XJN,THETA,PLF,LRD) - - SLOPEL = (SVPL-SVP)/NOTNUL(TLEAF-TAIR) - - CALL GCRSW (PLF,LRD,TLEAF,CO2A,CO2I,RBW,RT, RSW) - CALL PTRAN (RSW,RT,RBW,RBH,ATRJ,ATMTR,FRAC,TLEAF,DVP, & - SLOPEL,VPD, PT, PH, NRADC) - - CALL DIFLA (FNRADC,FPT,RBH,RT, FDIF) - - TLEAF = TAIR + FDIF - -!*---third-round calculation to determine potential photosynthesis -!* and transpiration - CALL ICO2 (TLEAF,DVP,FVPD,CO2A,C3C4, SVPL,CO2I) - CALL PHOTO (C3C4,PAR,TLEAF,CO2I,NP,EAJMAX,XVN,XJN,THETA,PLF,LRD) - - SLOPEL = (SVPL-SVP)/NOTNUL(TLEAF-TAIR) - - CALL GCRSW (PLF,LRD,TLEAF,CO2A,CO2I,RBW,RT, RSW) - CALL PTRAN (RSW,RT,RBW,RBH,ATRJ,ATMTR,FRAC,TLEAF,DVP, & - SLOPEL,VPD, PT, PH, NRADC) - - CALL DIFLA (FNRADC,FPT,RBH,RT, FDIF) - - TLEAF = TAIR + FDIF - -!*---fourth-round calculation to determine potential photosynthesis -!* and transpiration - CALL ICO2 (TLEAF,DVP,FVPD,CO2A,C3C4, SVPL,CO2I) - CALL PHOTO (C3C4,PAR,TLEAF,CO2I,NP,EAJMAX,XVN,XJN,THETA,PLF,LRD) - - SLOPEL = (SVPL-SVP)/NOTNUL(TLEAF-TAIR) - - CALL GCRSW (PLF,LRD,TLEAF,CO2A,CO2I,RBW,RT, RSW) - CALL PTRAN (RSW,RT,RBW,RBH,ATRJ,ATMTR,FRAC,TLEAF,DVP, & - SLOPEL,VPD, PT, PH, NRADC) - - RETURN - END SUBROUTINE PPHTR - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PEVAP * -!* Purpose: This subroutine calculates potential soil evaporation. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* TAIR R4 Air temperature oC I * -!* DVP R4 Vapour pressure kPa I * -!* RSS R4 Soil resistance,equivalent to leaf stomata s m-1 I * -!* RTS R4 Turbulence resistance for soil s m-1 I * -!* RBWS R4 Soil boundary layer resistance to water s m-1 I * -!* RBHS R4 Soil boundary layer resistance to heat s m-1 I * -!* ATRJS R4 Absorbed global radiation by soil J m-2 s-1 I * -!* ATMTR R4 Atmospheric transmissivity - I * -!* PT1 R4 Potential leaf transpiration using water mm s-1 I * -!* from upper evaporative soil layer * -!* WSUP1 R4 Water supply from upper evaporative soil mm s-1 I * -!* layer for evapotranspiration * -!* PESOIL R4 Potential soil evaporation mm s-1 O * -!* PHSOIL R4 Potential soil sensible heat flux J m-2 s-1 O * -!* NRADS R4 Net soil absorbed radiation J m-2 s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE PEVAP (TAIR,DVP,RSS,RTS,RBWS,RBHS,ATRJS,ATMTR, & - PT1,WSUP1,PESOIL,PHSOIL,NRADS) - IMPLICIT REAL (A-Z) - -!*--- first-round calculation to estimate soil surface temperature (TAVS) - SVP = 0.611*EXP(17.4*TAIR/(TAIR+239.)) - VPD = MAX (0., SVP-DVP) - SLOPE = 4158.6 * SVP/(TAIR + 239.)**2 - CALL PTRAN(RSS,RTS,RBWS,RBHS,ATRJS,ATMTR,1.,TAIR,DVP, & - SLOPE,VPD, FPE, FPH, FNRADS) - FPESOL = MAX(0., FPE) - FAESOL = MIN(FPESOL,FPESOL/(PT1+FPESOL)*WSUP1) - CALL DIFLA (FNRADS,FAESOL,RBHS,RTS, FDIFS) - TAVS = TAIR + FDIFS - -!*---second-round calculation to estimate potential soil evaporation - SVPS = 0.611*EXP(17.4*TAVS/(TAVS+239.)) - SLOPES = (SVPS-SVP)/NOTNUL(FDIFS) - - CALL PTRAN(RSS,RTS,RBWS,RBHS,ATRJS,ATMTR,1.,TAVS,DVP, & - SLOPES,VPD, PE, PH, NRADS) - PESOIL = MAX(0., PE) - PHSOIL = PH - - RETURN - END SUBROUTINE PEVAP - -!*----------------------------------------------------------------------* -!* SUBROUTINE APHTR * -!* Purpose: This subroutine calculates actual leaf photosynthesis when * -!* water stress occurs. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* TAIR R4 Air temperature oC I * -!* PAR R4 Absorbed photosynth. active radiation J m-2 s-1 I * -!* DVP R4 Vapour pressure kPa I * -!* CO2A R4 Ambient CO2 concentration ml m-3 I * -!* C3C4 R4 Crop type (=1. for C3, -1 for C4 crops) - I * -!* FVPD R4 Slope for linear effect of VPD on Ci/Ca (kPa)-1 I * -!* NRADC R4 Net leaf absorbed radiation J m-2 s-1 I * -!* AT R4 Actual leaf transpiration mm s-1 I * -!* PT R4 Potential leaf transpiration mm s-1 I * -!* RT R4 Turbulence resistance s m-1 I * -!* RBH R4 Leaf boundary layer resistance to heat s m-1 I * -!* RBW R4 Leaf boundary layer resistance to water s m-1 I * -!* RSW R4 Potential stomatal resistance to water s m-1 I * -!* SLOPEL R4 Slope of saturated vapour pressure curve kPa oC-1 I * -!* NP R4 Photosynthet. active leaf N content g m-2 I * -!* NPN R4 NP with small plant-N increment g m-2 I * -!* EAJMAX R4 Energy of activation for Jmax J mol-1 I * -!* XVN R4 Slope of linearity between Vcmax & leaf N umol/g/s I * -!* XJN R4 Slope of linearity between Jmax & leaf N umol/g/s I * -!* THETA R4 Convexity for light response of e-transport - I * -!* PLFAS R4 Actual leaf photosynthesis gCO2/m2/s O * -!* PLFAN R4 PLFAS with small plant-N increment gCO2/m2/s O * -!* ADIF R4 Actual leaf-air temperature difference oC O * -!* ARSW R4 Actual stomatal resistance to water s m-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE APHTR(TAIR,PAR,DVP,CO2A,C3C4,FVPD,NRADC,AT,PT,RT,RBH, & - RBW,RSW,SLOPEL,NP,NPN,EAJMAX,XVN,XJN,THETA, & - PLFAS,PLFAN,ADIF,ARSW) - IMPLICIT REAL (A-Z) - - PSYCH = 0.067 !psychrometric constant (kPa/oC) - -!*---leaf temperature if water stress occurs - CALL DIFLA (NRADC,AT,RBH,RT, ADIF) - ATLEAF = TAIR + ADIF - -!*---stomatal resistance to water if water stress occurs - ARSW = (PT-AT)*(SLOPEL*(RBH+RT)+PSYCH*(RBW+RT))/AT/PSYCH+PT/AT*RSW - -!*---potential photosynthesis at the new leaf temperature - CALL ICO2 (ATLEAF,DVP,FVPD,CO2A,C3C4, SVPA,ACO2I) - CALL PHOTO(C3C4,PAR,ATLEAF,ACO2I,NPN,EAJMAX,XVN,XJN,THETA,APLFN,ARDN) - CALL PHOTO(C3C4,PAR,ATLEAF,ACO2I,NP,EAJMAX,XVN,XJN,THETA,APLF,ARD) - -!*---actual photosynthesis under water stress condition - PLFAS = (1.6*RSW+1.3*RBW+RT)/(1.6*ARSW+1.3*RBW+RT)*(APLF-ARD)+ARD - PLFAN = (1.6*RSW+1.3*RBW+RT)/(1.6*ARSW+1.3*RBW+RT)*(APLFN-ARDN)+ARDN - - RETURN - END SUBROUTINE APHTR - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PTRAN * -!* Purpose: This subroutine calculates leaf transpiration, using the * -!* Penman-Monteith equation * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* RSW R4 Potential stomatal resistance to water s m-1 I * -!* RT R4 Turbulence resistance s m-1 I * -!* RBW R4 Leaf boundary layer resistance to water s m-1 I * -!* RBH R4 Leaf boundary layer resistance to heat s m-1 I * -!* ATRJ R4 Absorbed global radiation J m-2 s-1 I * -!* ATMTR R4 Atmospheric transmissivity - I * -!* FRAC R4 Fraction of leaf classes (sunlit vs shaded)- I * -!* TLEAF R4 Leaf temperature oC I * -!* DVP R4 Vapour pressure kPa I * -!* SLOPE R4 Slope of saturated vapour pressure curve kPa oC-1 I * -!* VPD R4 Saturation vapour pressure deficit of air kPa I * -!* PT R4 Potential leaf transpiration mm s-1 O * -!* PH R4 Potential leaf sensible heat flux J m-2 s-1 O * -!* NRADC R4 Net leaf absorbed radiation J m-2 s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE PTRAN (RSW,RT,RBW,RBH,ATRJ, & - ATMTR,FRAC,TLEAF,DVP,SLOPE,VPD,PT,PH,NRADC) - IMPLICIT REAL (A-Z) - -!*---some physical constants - BOLTZM = 5.668E-8 !Stefan-Boltzmann constant(J/m2/s/K4) - LHVAP = 2.4E6 !latent heat of water vaporization(J/kg) - VHCA = 1200. !volumetric heat capacity (J/m3/oC) - PSYCH = 0.067 !psychrometric constant (kPa/oC) - -!*---net absorbed radiation - CLEAR = MAX(0., MIN(1., (ATMTR-0.25)/0.45)) !sky clearness - BBRAD = BOLTZM*(TLEAF +273.)**4 - RLWN = BBRAD*(0.56-0.079*SQRT(DVP*10.))*(0.1+0.9*CLEAR)*FRAC - NRADC = ATRJ - RLWN - -!*---intermediate variable related to resistances - PSR = PSYCH*(RBW+RT+RSW)/(RBH+RT) - -!*---Compute PT -!*---radiation-determined term - PTR = NRADC*SLOPE/(SLOPE+PSR)/LHVAP - -!*---vapour pressure-determined term - PTD = (VHCA*VPD/(RBH+RT))/(SLOPE+PSR)/LHVAP - -!*---potential evaporation or transpiration - PT = MAX(1.E-10,PTR+PTD) - -!*---ji -!*---Compute PH in W/m2 (see Bolan p. 202) -!*---radiation-determined term - PHR = NRADC*PSR/(SLOPE+PSR) - -!*---vapour pressure-determined term - PHD = (VHCA*VPD/(RBH+RT))/(SLOPE+PSR) - -!*---potential evaporation or transpiration - PH = PHR-PHD - - RETURN - END SUBROUTINE PTRAN - - -!*----------------------------------------------------------------------* -!* SUBROUTINE DIFLA * -!* Purpose: This subroutine calculates leaf(canopy)-air temperature * -!* differential. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* NRADC R4 Net leaf absorbed radiation J m-2 s-1 I * -!* PT R4 Potential leaf transpiration mm s-1 I * -!* RBH R4 Leaf boundary layer resistance to heat s m-1 I * -!* RT R4 Turbulence resistance s m-1 I * -!* DIF R4 Leaf-air temperature difference oC O * -!*----------------------------------------------------------------------* - SUBROUTINE DIFLA (NRADC,PT,RBH,RT, DIF) - IMPLICIT REAL (A-Z) - - LHVAP = 2.4E6 !latent heat of water vaporization(J/kg) - VHCA = 1200. !volumetric heat capacity (J/m3/oC) - - DIF = LIMIT (-25., 25., (NRADC-LHVAP*PT)*(RBH+RT)/VHCA) - - RETURN - END SUBROUTINE DIFLA -!*----------------------------------------------------------------------* -!* SUBROUTINE ICO2 * -!* Purpose: This subroutine calculates the internal CO2 concentration * -!* as affected by vapour pressure deficit. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* TLEAF R4 Leaf temperature oC I * -!* DVP R4 Vapour pressure kPa I * -!* FVPD R4 Slope for linear effect of VPDL on Ci/Ca (kPa)-1 I * -!* CO2A R4 Ambient CO2 concentration ml m-3 I * -!* C3C4 R4 Crop type (=1. for C3, -1 for C4 crops) - I * -!* SVPL R4 Saturated vapour pressure of leaf kPa O * -!* CO2I R4 intercellular CO2 concentration ml m-3 O * -!*----------------------------------------------------------------------* - SUBROUTINE ICO2 (TLEAF,DVP,FVPD,CO2A,C3C4, SVPL,CO2I) - IMPLICIT REAL (A-Z) - -!*---air-to-leaf vapour pressure deficit - SVPL = 0.611 * EXP(17.4 * TLEAF / (TLEAF + 239.)) - VPDL = MAX (0., SVPL - DVP) - -!*---Michaelis-Menten const. for CO2 at 25oC (umol/mol) - KMC25 = INSW(C3C4, 650., 404.9) !greater KMC25 for C4 than C3 - -!*---Michaelis-Menten const. for O2 at 25oC (mmol/mol) - KMO25 = INSW(C3C4, 450., 278.4) !greater KMO25 for C4 than C3 - -!*---CO2 compensation point in absence of dark respiration (GAMMAX) - O2 = 210. !oxygen concentration(mmol/mol) - EAVCMX = 65330. !energy of activation for Vcmx(J/mol) - EAKMC = 79430. !energy of activation for KMC (J/mol) - EAKMO = 36380. !energy of activation for KMO (J/mol) - EARD = 46390. !energy of activation for dark respiration(J/mol) - RDVX25 = 0.0089 !ratio of dark respiration to Vcmax at 25oC - TO = 298.15 - - KMC = KMC25*EXP((1./TO-1./(TLEAF+273.))*EAKMC/8.314) - KMO = KMO25*EXP((1./TO-1./(TLEAF+273.))*EAKMO/8.314) - GAMMAX = 0.5*EXP(-3.3801+5220./(TLEAF+273.)/8.314)*O2*KMC/KMO - -!*---CO2 compensation point (GAMMA) - RDVCX = RDVX25*EXP((1./TO-1./(TLEAF+273.))*(EARD-EAVCMX)/8.314) - GAMMA0 = (GAMMAX+RDVCX*KMC*(1.+O2/KMO))/(1.-RDVCX) - GAMMA_ = INSW (C3C4, GAMMA0/10., GAMMA0) - -!*---internal/ambient CO2 ratio, based on data of Morison & Gifford (1983) - RCICA = 1.-(1.-GAMMA_/CO2A)*(0.14+FVPD*VPDL) - -!*---intercellular CO2 concentration - CO2I = RCICA * CO2A - - RETURN - END SUBROUTINE ICO2 - - -!*----------------------------------------------------------------------* -!* SUBROUTINE GCRSW * -!* Purpose: This subroutine calculates overall leaf conductance * -!* for CO2 (GC) and the stomatal resistance to water (RSW). * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* PLEAF R4 Gross leaf photosynthesis gCO2/m2/s I * -!* RDLEAF R4 Leaf dark respiration gCO2/m2/s I * -!* TLEAF R4 Leaf temperature oC I * -!* CO2A R4 Ambient CO2 concentration ml m-3 I * -!* CO2I R4 Internal CO2 concentration ml m-3 I * -!* RT R4 Turbulence resistance s m-1 I * -!* RBW R4 Leaf boundary layer resistance to water s m-1 I * -!* RSW R4 Potential stomatal resistance to water s m-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE GCRSW (PLEAF,RDLEAF,TLEAF,CO2A,CO2I,RBW,RT, RSW) - IMPLICIT REAL (A-Z) - -!*---potential conductance for CO2 -!*ji 13.7.11 MAX routine faengt negative Leitfaehigkeiten ab - GC = MAX(1E-6,(PLEAF-RDLEAF)*(273.+TLEAF)/0.53717/(CO2A-CO2I)) - -!*---potential stomatal resistance to water - RSW = MAX(1E-30, 1./GC - RBW*1.3 - RT)/1.6 - - RETURN - END SUBROUTINE GCRSW - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PAN * -!* Purpose: This subroutine calculates photosynthetically active * -!* nitrogen content for sunlit and shaded parts of canopy. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* SLNT R4 Top-leaf nitrogen content g m-2 I * -!* SLNMIN R4 Minimum or base SLNT for photosynthesis g m-2 I * -!* LAI R4 (green)Leaf area index m2 m-2 I * -!* KN R4 Leaf nitrogen extinction coefficient m2 m-2 I * -!* KB R4 Direct beam radiation extinction coeff. m2 m-2 I * -!* NPSU R4 Photosynthet. active N for sunlit leaves g m-2 O * -!* NPSH R4 Photosynthet. active N for shaded leaves g m-2 O * -!*----------------------------------------------------------------------* - SUBROUTINE PAN(SLNT,SLNMIN,LAI,KN,KB, NPSU,NPSH) - IMPLICIT REAL (A-Z) - -!*---total photosynthetic nitrogen in canopy - NPC = SLNT*(1.-EXP(-KN*LAI))/KN-SLNMIN*LAI - -!*---photosynthetic nitrogen for sunlit and shaded parts of canopy - NPSU = SLNT*(1.-EXP(-(KN+KB)*LAI))/(KN+KB)-SLNMIN*(1.-EXP(-KB*LAI))/KB - NPSH = NPC-NPSU - - RETURN - END SUBROUTINE PAN - - -!*----------------------------------------------------------------------* -!* SUBROUTINE PHOTO * -!* Purpose: This subroutine calculates leaf photosynthesis and dark * -!* respiration, based on a renewed Farquhar biochemistry * -!* (cf Yin et al.2004. Plant, Cell & Environment 27:1211-1222)* -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* C3C4 R4 Crop type (=1. for C3, -1. for C4 crops) - I * -!* PAR R4 Leaf absorbed photosynth. active radiance J m-2 s-1 I * -!* TLEAF R4 Leaf temperature oC I * -!* CO2I R4 Intercellular CO2 concentration ml m-3 I * -!* NP R4 Photosynthetically active leaf N content g m-2 I * -!* EAJMAX R4 Energy of activation for Jmax J mol-1 I * -!* XVN R4 Slope of linearity between Vcmax & leaf N umol/g/s I * -!* XJN R4 Slope of linearity between Jmax & leaf N umol/g/s I * -!* THETA R4 Convexity for light response of e-transport - I * -!* PLEAF R4 Gross leaf photosynthesis gCO2/m2/s O * -!* RDLEAF R4 Leaf dark respiration gCO2/m2/s O * -!*----------------------------------------------------------------------* - SUBROUTINE PHOTO(C3C4,PAR,TLEAF,CO2I,NP,EAJMAX,XVN,XJN, & - THETA,PLEAF,RDLEAF) - IMPLICIT REAL (A-Z) - -!*---Michaelis-Menten constants for CO2 and O2 at 25oC - IF (C3C4.LT.0.) THEN - KMC25 = 650. !greater KMC25 for C4 than C3; unit:(umol/mol) - KMO25 = 450. !greater KMO25 for C4 than C3; unit:(mmol/mol) - ELSE - KMC25 = 404.9 !unit:(umol/mol) - KMO25 = 278.4 !unit:(mmol/mol) - ENDIF - -!*---other constants related to the Farquhar-type photosynthesis model - O2 = 210. !oxygen concentration(mmol/mol) - EAVCMX = 65330. !energy of activation for Vcmx(J/mol) - EAKMC = 79430. !energy of activation for KMC (J/mol) - EAKMO = 36380. !energy of activation for KMO (J/mol) - EARD = 46390. !energy of activation for dark respiration(J/mol) - DEJMAX = 200000. !energy of deactivation for JMAX (J/mol) - SJ = 650. !entropy term in JT equation (J/mol/K) - PHI2M = 0.85 !maximum electron transport efficiency of PS II - HH = 3. !number of protons required to synthesise 1 ATP - KTMP = 1.0 !Factor for reducing photosynthesis in case of T<5C - JTMAX = 3.12 - TO = 298.15 - -!*---PAR photon flux in umol/m2/s absorbed by leaf photo-systems - UPAR = 4.56*PAR !4.56 conversion factor in umol/J - -!*---Michaelis-Menten constants for CO2 and O2 respectively - KMC = KMC25*EXP((1./TO-1./(TLEAF+273.))*EAKMC/8.314) - KMO = KMO25*EXP((1./TO-1./(TLEAF+273.))*EAKMO/8.314) - -!*---CO2 compensation point in the absence of dark respiration - GAMMAX = 0.5*EXP(-3.3801+5220./(TLEAF+273.)/8.314)*O2*KMC/KMO - -!*---Arrhenius function for the effect of temperature on carboxylation - VCT = EXP((1./TO-1./(TLEAF+273.))*EAVCMX/8.314) - -!*---function for the effect of temperature on electron transport - JT = EXP((1./TO-1./(TLEAF+273.))*EAJMAX/8.314)* & - (1.+EXP(SJ/8.314-DEJMAX/TO/8.314))/ & - (1.+EXP(SJ/8.314-1./(TLEAF+273.) *DEJMAX/8.314)) - - VCMX = XVN*VCT*NP - JMAX = XJN*JT *NP - -!*---CO2 concentration at carboxylation site & electron pathways and -!* their stoichiometries - FPSEUD = 0. !assuming no pseudocyclic e- transport - IF (C3C4.LT.0.) THEN - ZZ = 0.2 !CO2 leakage from bundle-sheath to mesophyll - CC = 10.*CO2I !to mimic C4 CO2 concentrating mechanism - SF = 2.*(CC-GAMMAX)/(1.-ZZ) - FQ = 1.- FPSEUD- 2.*(4.*CC+8.*GAMMAX)/HH/(SF+3.*CC+7.*GAMMAX) - FCYC = FQ - ELSE - CC = CO2I - SF = 0. - FQ = 0. - FCYC = 1.-(FPSEUD*HH*(SF+3.*CC+7.*GAMMAX)/(4.*CC+8.*GAMMAX)+1.)/ & - (HH*(SF+3.*CC+7.*GAMMAX)/(4.*CC+8.*GAMMAX)-1.) - ENDIF - -!*--- electron transport rate in dependence on PAR photon flux - ALPHA2 = (1.-FCYC)/(1.+(1.-FCYC)/PHI2M) - X = ALPHA2*UPAR/MAX(1.E-10,JMAX) - J2 = JMAX*(1.+X-((1.+X)**2.-4.*X*THETA)**0.5)/2./THETA - -!*---rates of carboxylation limited by Rubisco and electron transport - VC = VCMX * CC/(CC + KMC*(O2/KMO+1.)) - VJ = J2 * CC*(2.+FQ-FCYC)/HH/(SF+3.*CC+7.*GAMMAX)/(1.-FCYC) - -!*---gross rate of leaf photosynthesis - ALF = (1.-GAMMAX/CC)*MIN(VC,VJ) - PLEAF = MAX(1.E-10, (1.E-6)*44.*ALF) - -!*---rate of leaf dark respiration - RDVX25 = 0.0089 !ratio of dark respiration to Vcmax at 25oC - RDT = EXP((1./TO-1./(TLEAF+273.))*EARD/8.314) - RDLEAF = (1.E-6)*44. *RDVX25*(XVN*NP) * RDT - - RETURN - END SUBROUTINE PHOTO - - -!*----------------------------------------------------------------------* -!* SUBROUTINE REFL * -!* Purpose: This subroutine calculates reflection coefficients. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* SCP R4 Leaf scattering coefficient - I * -!* KB R4 Direct beam radiation extinction coeff. m2 m-2 I * -!* KBP R4 Scattered beam radiation extinction coeff. m2 m-2 O * -!* PCB R4 Canopy beam radiation reflection coeff. - O * -!*----------------------------------------------------------------------* - SUBROUTINE REFL (SCP,KB, KBP,PCB) - IMPLICIT REAL (A-Z) - -!*--- scattered beam radiation extinction coefficient - KBP = KB*SQRT(1.-SCP) - -!*---canopy reflection coefficient for horizontal leaves - PH = (1.-SQRT(1.-SCP))/(1.+SQRT(1.-SCP)) - -!*---Canopy beam radiation reflection coefficient - PCB = 1.-EXP(-2.*PH*KB/(1.+KB)) - - RETURN - END SUBROUTINE REFL - - -!*----------------------------------------------------------------------* -!* SUBROUTINE LIGAB * -!* Purpose: This subroutine calculates absorbed light for sunlit and * -!* shaded leaves. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* SCP R4 Leaf scattering coefficient - I * -!* KB R4 Direct beam radiation extinction coeff. m2 m-2 I * -!* KBP R4 Scattered beam radiation extinction coeff. m2 m-2 I * -!* KDP R4 Diffuse radiation extinction coefficient m2 m-2 I * -!* PCB R4 Canopy beam radiation reflection coeff. - I * -!* PCD R4 Canopy diffuse radiation reflection coeff. - I * -!* IB0 R4 Incident direct-beam radiation J m-2 s-1 I * -!* ID0 R4 Incident diffuse radiation J m-2 s-1 I * -!* LAI R4 (green)Leaf area index m2 m-2 I * -!* ISU R4 Absorbed radiation by sunlit leaves J m-2 s-1 O * -!* ISH R4 Absorbed radiation by shaded leaves J m-2 s-1 O * -!*----------------------------------------------------------------------* - SUBROUTINE LIGAB (SCP,KB,KBP,KDP,PCB,PCD,IB0,ID0,LAI, ISU,ISH) - IMPLICIT REAL (A-Z) - -!*---total absorbed light by canopy - IC = (1.-PCB)*MAX(1e-30,IB0)*(1.-EXP(-KBP*LAI))+ & - (1.-PCD)*MAX(1e-30,ID0)*(1.-EXP(-KDP*LAI)) - -!*---absorbed light by sunlit and shaded fractions of canopy - ISU = (1.-SCP)*MAX(1e-30,IB0)*(1.-EXP(-KB *LAI))+(1.-PCD)*MAX(1e-30,ID0)/(KDP+KB)* & - KDP*(1.-EXP(-(KDP+KB)*LAI))+MAX(1e-30,IB0)*((1.-PCB)/(KBP+KB)*KBP* & - (1.-EXP(-(KBP+KB)*LAI))-(1.-SCP)*(1.-EXP(-2.*KB*LAI))/2.) - - ISH = IC-ISU - - RETURN - END SUBROUTINE LIGAB - - -!*----------------------------------------------------------------------* -!* SUBROUTINE KBEAM * -!* Purpose: This subroutine calculates extinction coefficient for * -!* direct beam radiation. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* SINB R4 Sine of solar elevation - I * -!* BL R4 Leaf angle (from horizontal) radians I * -!* KB R4 Direct beam radiation extinction coeff. m2 m-2 O * -!*----------------------------------------------------------------------* - SUBROUTINE KBEAM (SINB,BL, KB) - IMPLICIT REAL (A-Z) - -!*---solar elevation in radians - B = ASIN(SINB) - -!*---average projection of leaves in the direction of a solar beam - IF (SINB.GE.SIN(BL)) THEN - OAV = SINB*COS(BL) - ELSE - OAV = 2./3.141592654*(SINB*COS(BL)*ASIN(TAN(B)/TAN(BL)) & - +((SIN(BL))**2-SINB**2)**0.5) - ENDIF - -!*---beam radiation extinction coefficient - KB = OAV/SINB - - RETURN - END SUBROUTINE KBEAM - - -!*----------------------------------------------------------------------* -!* SUBROUTINE KDIFF * -!* Purpose: This subroutine calculates extinction coefficient for * -!* diffuse radiation. * -!* * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* LAI R4 Total leaf area index m2 m-2 I * -!* BL R4 Leaf angle (from horizontal) radians I * -!* SCP R4 Leaf scattering coefficient - I * -!* KDP R4 Diffuse radiation extinction coefficient m2 m-2 O * -!*----------------------------------------------------------------------* - SUBROUTINE KDIFF (LAI,BL,SCP, KDP) - IMPLICIT REAL (A-Z) - - PI = 3.141592654 - -!*---extinction coefficient of beam lights from 15, 45 and 75 elevations - CALL KBEAM (SIN(15.*PI/180.),BL, KB15) - CALL KBEAM (SIN(45.*PI/180.),BL, KB45) - CALL KBEAM (SIN(75.*PI/180.),BL, KB75) - -!*---diffuse light extinction coefficient - KDP = -1./LAI*LOG(0.178*EXP(-KB15*(1.-SCP)**0.5*LAI) & - +0.514*EXP(-KB45*(1.-SCP)**0.5*LAI) & - +0.308*EXP(-KB75*(1.-SCP)**0.5*LAI)) - - RETURN - END SUBROUTINE KDIFF - -!*----------------------------------------------------------------------* -!* FUNCTION INTGRL * -!* Purpose: This function integrates a differential equation * -!* using the Euler method. Substitutes the intrinsic FST function * -!* FORMAL PARAMETERS: (I=input,O=output,C=control,IN=init,T=time) * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* POOL R4 Currenmt stock size g X m-2 I * -!* RATE R4 Rate of change 1/d I * -!* DT R4 Time step d I * -!* INTGRL R4 Returns the stock size in next time step g X m-2 0 * -FUNCTION INTGRL(POOL, RATE, DT) -IMPLICIT NONE -real:: INTGRL, POOL, RATE, DT - -INTGRL = POOL + RATE*DT - -RETURN -END FUNCTION INTGRL - -!*----------------------------------------------------------------------* -!* FUNCTION NOTNUL * -!* Y = NOTNUL(X) * -!* Y is equal to X but 1.0 in case of x=0.0. Note that X is * -!* evaluated without any tolerance interval * -!* name type meaning units class * -!* ---- ---- ------- ----- ----- * -!* X R4 Variable to be checked I * -!*----------------------------------------------------------------------* -FUNCTION NOTNUL(X) -IMPLICIT NONE -real:: NOTNUL, X - -if (X.ne.0) then - NOTNUL = X -else - NOTNUL = 1 -endif - -RETURN -END FUNCTION NOTNUL - -!*----------------------------------------------------------------------* -!* FUNCTION LIMIT * -!* Y = LIMIT(XL, XH, X) * -!* Y is equal to X but limited between XL and XH * -!* Y - Returned as X bounded on [Xl,XH] * -!* XL- Lower bound of X * -!* XH- Upper bound of X * -!* ---- ---- ------- * -!* X R4 Variable to be checken I * -!*----------------------------------------------------------------------* -FUNCTION LIMIT(XL, XH, X) -IMPLICIT NONE -real:: LIMIT, XL, XH, X - -if (X.ge.XL.and.X.le.XH) then - LIMIT = X -else - if (X.gt.XH) then - LIMIT = XH - else - LIMIT = XL - endif -endif - -RETURN -END FUNCTION LIMIT - -!*----------------------------------------------------------------------* -!* FUNCTION INSW * -!* Y = INSW(X, Y1, Y2) * -!* Input switch. Y is set equal to Y1 orY2 depending on the value of X * -!* Y - Returned as either Y1 or Y2 * -!* X - Control variable * -!* Y1- Returned value of Y if X<0 * -!* Y2- Returned value of Y if X>=0 * -!* ---- ---- ------- * -!* X R4 Variable to be checken I * -!*----------------------------------------------------------------------* -FUNCTION INSW(X, Y1, Y2) -implicit none -real :: INSW, X, Y1, Y2 - -if (X.lt.0) then - INSW = Y1 -else - INSW = Y2 -endif - -RETURN -END FUNCTION INSW - - -!*----------------------------------------------------------------------* -!* FUNCTION REAAND * -!* Y = REAAND(X1, X2) * -!* Returns 1.0 if both input variables are positive, otherwise Y=0.0 * -!* ---- ---- ------- * -!* X1 R4 1. variable to be checked I * -!* X2 R4 2. variable to be checked I * -!*----------------------------------------------------------------------* -FUNCTION REAAND(X1, X2) -implicit none -real :: REAAND, X1, X2 - -if (X1.gt.0.and.X2.gt.0) then - REAAND = 1. -else - REAAND = 0. -endif - -RETURN -END FUNCTION REAAND - - -!*----------------------------------------------------------------------* -!* FUNCTION REAnOR * -!* Y = REANOR(X1, X2) * -!* Returns 1.0 if both input variables are less than or equal to 0., * -!* otherwise Y=0. -!* ---- ---- ------- * -!* X1 R4 1. variable to be checked I * -!* X2 R4 2. variable to be checked I * -!*----------------------------------------------------------------------* -FUNCTION REANOR(X1, X2) -implicit none -real :: REANOR, X1, X2 - -if (X1.le.0.and.X2.le.0) then - REANOR = 1. -else - REANOR = 0. -endif - -RETURN -END FUNCTION REANOR - -END MODULE module_sf_gecros diff --git a/phys_wrf/module_sf_noahmp_glacier.F b/phys_wrf/module_sf_noahmp_glacier.F deleted file mode 120000 index e3685f8..0000000 --- a/phys_wrf/module_sf_noahmp_glacier.F +++ /dev/null @@ -1 +0,0 @@ -../noahmp/src/module_sf_noahmp_glacier.F \ No newline at end of file diff --git a/phys_wrf/module_sf_noahmp_groundwater.F b/phys_wrf/module_sf_noahmp_groundwater.F deleted file mode 120000 index 4136117..0000000 --- a/phys_wrf/module_sf_noahmp_groundwater.F +++ /dev/null @@ -1 +0,0 @@ -../noahmp/src/module_sf_noahmp_groundwater.F \ No newline at end of file diff --git a/phys_wrf/module_sf_noahmpdrv.F b/phys_wrf/module_sf_noahmpdrv.F deleted file mode 120000 index cc4ad30..0000000 --- a/phys_wrf/module_sf_noahmpdrv.F +++ /dev/null @@ -1 +0,0 @@ -../noahmp/drivers/wrf/module_sf_noahmpdrv.F \ No newline at end of file diff --git a/urban/wrf/Makefile b/urban/wrf/Makefile new file mode 100644 index 0000000..2b96f57 --- /dev/null +++ b/urban/wrf/Makefile @@ -0,0 +1,46 @@ +# Makefile +# +.SUFFIXES: +.SUFFIXES: .o .F + +include ../../hrldas/user_build_options + +OBJS = \ + module_bep_bem_helper.o \ + module_sf_urban.o \ + module_sf_bep.o \ + module_sf_bem.o \ + module_sf_bep_bem.o \ + NoahmpUrbanDriverMainMod.o + +CPPHRLDAS = -D_HRLDAS_OFFLINE_ + +all: $(OBJS) + +.F.o: + @echo "" + $(RM) $(*).f90 + $(CPP) $(CPPFLAGS) $(CPPHRLDAS) $(*).F > $(*).f90 + $(COMPILERF90) -o $(@) -c -I../../hrldas/Utility_routines -I../../noahmp/drivers/hrldas -I. -I../../hrldas/Utility_routines \ + -I../../noahmp/utility $(F90FLAGS) $(FREESOURCE) $(*).f90 + @echo "" + +# +# Dependencies: +# + +NoahmpUrbanDriverMainMod.o: ../../noahmp/utility/Machine.o \ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o \ + ../../hrldas/Utility_routines/module_ra_gfdleta.o \ + ../../hrldas/Utility_routines/module_model_constants.o \ + module_sf_urban.o module_sf_bep.o module_sf_bep_bem.o +module_sf_bep.o: module_sf_urban.o module_bep_bem_helper.o +module_sf_bep_bem.o: module_sf_urban.o module_sf_bem.o module_bep_bem_helper.o + +# +# This command cleans up object (etc) files: +# + +clean: + $(RM) *.o *.mod *.stb *~ *.f90 + diff --git a/urban/wrf/NoahmpUrbanDriverMainMod.F b/urban/wrf/NoahmpUrbanDriverMainMod.F new file mode 100644 index 0000000..46d3b17 --- /dev/null +++ b/urban/wrf/NoahmpUrbanDriverMainMod.F @@ -0,0 +1,790 @@ +module NoahmpUrbanDriverMainMod + +!-------------------------------------------------------------------------- +! SUBROUTINE noahmp_urban seperated from module_sf_noahmpdrv.F +! P. Valayamkunnath C. He & refactor team (April 08 2022) +!-------------------------------------------------------------------------- + + implicit none + +contains + + SUBROUTINE noahmp_urban( NoahmpIO,sf_urban_physics, NSOIL, IVGTYP,ITIMESTEP, & ! IN : Model configuration + DT, COSZ_URB2D, XLAT_URB2D, & ! IN : Time/Space-related + T3D, QV3D, U_PHY, V_PHY, SWDOWN, & ! IN : Forcing + SWDDIR, SWDDIF, & + GLW, P8W3D, RAINBL, DZ8W, ZNT, & ! IN : Forcing + TSK, HFX, QFX, LH, GRDFLX, & ! IN/OUT : LSM + ALBEDO, EMISS, QSFC, & ! IN/OUT : LSM + ids,ide, jds,jde, kds,kde, & + ims,ime, jms,jme, kms,kme, & + its,ite, jts,jte, kts,kte, & + cmr_sfcdif, chr_sfcdif, cmc_sfcdif, & + chc_sfcdif, cmgr_sfcdif, chgr_sfcdif, & + tr_urb2d, tb_urb2d, tg_urb2d, & !H urban + tc_urb2d, qc_urb2d, uc_urb2d, & !H urban + xxxr_urb2d, xxxb_urb2d, xxxg_urb2d, xxxc_urb2d, & !H urban + trl_urb3d, tbl_urb3d, tgl_urb3d, & !H urban + sh_urb2d, lh_urb2d, g_urb2d, rn_urb2d, ts_urb2d, & !H urban + psim_urb2d, psih_urb2d, u10_urb2d, v10_urb2d, & !O urban + GZ1OZ0_urb2d, AKMS_URB2D, & !O urban + th2_urb2d, q2_urb2d, ust_urb2d, & !O urban + declin_urb, omg_urb2d, & !I urban + num_roof_layers,num_wall_layers,num_road_layers, & !I urban + dzr, dzb, dzg, & !I urban + cmcr_urb2d, tgr_urb2d, tgrl_urb3d, smr_urb3d, & !H urban + drelr_urb2d, drelb_urb2d, drelg_urb2d, & !H urban + flxhumr_urb2d, flxhumb_urb2d, flxhumg_urb2d, & !H urban + julian, julyr, & !H urban + frc_urb2d, utype_urb2d, & !I urban + chs, chs2, cqs2, & !H + num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & !I multi-layer urban + urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & !I multi-layer urban + urban_map_gbd, urban_map_fbd, urban_map_zgrd, & !I multi-layer urban + num_urban_hi, & !I multi-layer urban + trb_urb4d, tw1_urb4d, tw2_urb4d, tgb_urb4d, & !H multi-layer urban + tlev_urb3d, qlev_urb3d, & !H multi-layer urban + tw1lev_urb3d, tw2lev_urb3d, & !H multi-layer urban + tglev_urb3d, tflev_urb3d, & !H multi-layer urban + sf_ac_urb3d, lf_ac_urb3d, cm_ac_urb3d, & !H multi-layer urban + sfvent_urb3d, lfvent_urb3d, & !H multi-layer urban + sfwin1_urb3d, sfwin2_urb3d, & !H multi-layer urban + sfw1_urb3d, sfw2_urb3d, sfr_urb3d, sfg_urb3d, & !H multi-layer urban + ep_pv_urb3d, t_pv_urb3d, & !RMS + trv_urb4d, qr_urb4d, qgr_urb3d, tgr_urb3d, & !RMS + drain_urb4d, draingr_urb3d, sfrv_urb3d, lfrv_urb3d, & !RMS + dgr_urb3d, dg_urb3d, lfr_urb3d, lfg_urb3d, & !RMS + lp_urb2d, hi_urb2d, lb_urb2d, hgt_urb2d, & !H multi-layer urban + mh_urb2d, stdh_urb2d, lf_urb2d, & !SLUCM + th_phy, rho, p_phy, ust, & !I multi-layer urban + gmt, julday, xlong, xlat, & !I multi-layer urban + a_u_bep, a_v_bep, a_t_bep, a_q_bep, & !O multi-layer urban + a_e_bep, b_u_bep, b_v_bep, & !O multi-layer urban + b_t_bep, b_q_bep, b_e_bep, dlg_bep, & !O multi-layer urban + dl_u_bep, sf_bep, vl_bep & !O multi-layer urban + ) + + USE module_sf_urban, only: urban + USE module_sf_bep, only: bep + USE module_sf_bep_bem, only: bep_bem + USE module_ra_gfdleta, only: cal_mon_day + USE module_model_constants, only: KARMAN, CP, XLV + use Machine, only : kind_noahmp + use NoahmpIOVarType + +!---------------------------------------------------------------- + IMPLICIT NONE +!---------------------------------------------------------------- + type(NoahmpIO_type), intent(in) :: NoahmpIO + INTEGER, INTENT(IN ) :: sf_urban_physics ! urban physics option + INTEGER, INTENT(IN ) :: NSOIL ! number of soil layers + INTEGER, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: IVGTYP ! vegetation type + INTEGER, INTENT(IN ) :: ITIMESTEP ! timestep number + REAL, INTENT(IN ) :: DT ! timestep [s] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: COSZ_URB2D + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: XLAT_URB2D + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: T3D ! 3D atmospheric temperature valid at mid-levels [K] + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: QV3D ! 3D water vapor mixing ratio [kg/kg_dry] + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: U_PHY ! 3D U wind component [m/s] + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: V_PHY ! 3D V wind component [m/s] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: SWDOWN ! solar down at surface [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: SWDDIF ! solar down at surface [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: SWDDIR ! solar down at surface [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: GLW ! longwave down at surface [W m-2] + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: P8W3D ! 3D pressure, valid at interface [Pa] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: RAINBL ! total input precipitation [mm] + REAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: DZ8W ! thickness of atmo layers [m] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: ZNT ! combined z0 sent to coupled model + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TSK ! surface radiative temperature [K] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: HFX ! sensible heat flux [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: QFX ! latent heat flux [kg s-1 m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: LH ! latent heat flux [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: GRDFLX ! ground/snow heat flux [W m-2] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: ALBEDO ! total grid albedo [] + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: EMISS ! surface bulk emissivity + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: QSFC ! bulk surface mixing ratio + + INTEGER, INTENT(IN ) :: ids,ide, jds,jde, kds,kde, & ! d -> domain + & ims,ime, jms,jme, kms,kme, & ! m -> memory + & its,ite, jts,jte, kts,kte ! t -> tile + +! input variables surface_driver --> lsm + + INTEGER, INTENT(IN ) :: num_roof_layers + INTEGER, INTENT(IN ) :: num_wall_layers + INTEGER, INTENT(IN ) :: num_road_layers + + INTEGER, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: UTYPE_URB2D + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: FRC_URB2D + + REAL, OPTIONAL, DIMENSION(1:num_roof_layers), INTENT(IN ) :: DZR + REAL, OPTIONAL, DIMENSION(1:num_wall_layers), INTENT(IN ) :: DZB + REAL, OPTIONAL, DIMENSION(1:num_road_layers), INTENT(IN ) :: DZG + REAL, OPTIONAL, INTENT(IN ) :: DECLIN_URB + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: OMG_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: TH_PHY + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: P_PHY + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(IN ) :: RHO + + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: UST + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CHS, CHS2, CQS2 + + INTEGER, INTENT(IN ) :: julian, julyr !urban + +! local variables lsm --> urban + + INTEGER :: UTYPE_URB ! urban type [urban=1, suburban=2, rural=3] + REAL :: TA_URB ! potential temp at 1st atmospheric level [K] + REAL :: QA_URB ! mixing ratio at 1st atmospheric level [kg/kg] + REAL :: UA_URB ! wind speed at 1st atmospheric level [m/s] + REAL :: U1_URB ! u at 1st atmospheric level [m/s] + REAL :: V1_URB ! v at 1st atmospheric level [m/s] + REAL :: SSG_URB ! downward total short wave radiation [W/m/m] + REAL :: LLG_URB ! downward long wave radiation [W/m/m] + REAL :: RAIN_URB ! precipitation [mm/h] + REAL :: RHOO_URB ! air density [kg/m^3] + REAL :: ZA_URB ! first atmospheric level [m] + REAL :: DELT_URB ! time step [s] + REAL :: SSGD_URB ! downward direct short wave radiation [W/m/m] + REAL :: SSGQ_URB ! downward diffuse short wave radiation [W/m/m] + REAL :: XLAT_URB ! latitude [deg] + REAL :: COSZ_URB ! cosz + REAL :: OMG_URB ! hour angle + REAL :: ZNT_URB ! roughness length [m] + REAL :: TR_URB + REAL :: TB_URB + REAL :: TG_URB + REAL :: TC_URB + REAL :: QC_URB + REAL :: UC_URB + REAL :: XXXR_URB + REAL :: XXXB_URB + REAL :: XXXG_URB + REAL :: XXXC_URB + REAL, DIMENSION(1:num_roof_layers) :: TRL_URB ! roof layer temp [K] + REAL, DIMENSION(1:num_wall_layers) :: TBL_URB ! wall layer temp [K] + REAL, DIMENSION(1:num_road_layers) :: TGL_URB ! road layer temp [K] + LOGICAL :: LSOLAR_URB + +!===hydrological variable for single layer UCM=== + + INTEGER :: jmonth, jday + REAL :: DRELR_URB + REAL :: DRELB_URB + REAL :: DRELG_URB + REAL :: FLXHUMR_URB + REAL :: FLXHUMB_URB + REAL :: FLXHUMG_URB + REAL :: CMCR_URB + REAL :: TGR_URB + + REAL, DIMENSION(1:num_roof_layers) :: SMR_URB ! green roof layer moisture + REAL, DIMENSION(1:num_roof_layers) :: TGRL_URB ! green roof layer temp [K] + + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: DRELR_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: DRELB_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: DRELG_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: FLXHUMR_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: FLXHUMB_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: FLXHUMG_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CMCR_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TGR_URB2D + + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_roof_layers, jms:jme ), INTENT(INOUT) :: TGRL_URB3D + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_roof_layers, jms:jme ), INTENT(INOUT) :: SMR_URB3D + + +! state variable surface_driver <--> lsm <--> urban + + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TR_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TB_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TG_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TC_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: QC_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: UC_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: XXXR_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: XXXB_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: XXXG_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: XXXC_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: SH_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: LH_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: G_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: RN_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: TS_URB2D + + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_roof_layers, jms:jme ), INTENT(INOUT) :: TRL_URB3D + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_wall_layers, jms:jme ), INTENT(INOUT) :: TBL_URB3D + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_road_layers, jms:jme ), INTENT(INOUT) :: TGL_URB3D + +! output variable lsm --> surface_driver + + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: PSIM_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: PSIH_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: GZ1OZ0_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: U10_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: V10_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: TH2_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: Q2_URB2D + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: AKMS_URB2D + REAL, DIMENSION( ims:ime, jms:jme ), INTENT(OUT) :: UST_URB2D + + +! output variables urban --> lsm + + REAL :: TS_URB ! surface radiative temperature [K] + REAL :: QS_URB ! surface humidity [-] + REAL :: SH_URB ! sensible heat flux [W/m/m] + REAL :: LH_URB ! latent heat flux [W/m/m] + REAL :: LH_KINEMATIC_URB ! latent heat flux, kinetic [kg/m/m/s] + REAL :: SW_URB ! upward short wave radiation flux [W/m/m] + REAL :: ALB_URB ! time-varying albedo [fraction] + REAL :: LW_URB ! upward long wave radiation flux [W/m/m] + REAL :: G_URB ! heat flux into the ground [W/m/m] + REAL :: RN_URB ! net radiation [W/m/m] + REAL :: PSIM_URB ! shear f for momentum [-] + REAL :: PSIH_URB ! shear f for heat [-] + REAL :: GZ1OZ0_URB ! shear f for heat [-] + REAL :: U10_URB ! wind u component at 10 m [m/s] + REAL :: V10_URB ! wind v component at 10 m [m/s] + REAL :: TH2_URB ! potential temperature at 2 m [K] + REAL :: Q2_URB ! humidity at 2 m [-] + REAL :: CHS_URB + REAL :: CHS2_URB + REAL :: UST_URB + +! NUDAPT Parameters urban --> lam + + REAL :: mh_urb + REAL :: stdh_urb + REAL :: lp_urb + REAL :: hgt_urb + REAL, DIMENSION(4) :: lf_urb + +! Local variables + + INTEGER :: I,J,K + REAL :: Q1 + +! Noah UA changes + + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CMR_SFCDIF + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CHR_SFCDIF + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CMGR_SFCDIF + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CHGR_SFCDIF + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CMC_SFCDIF + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: CHC_SFCDIF + +! Variables for multi-layer UCM + + REAL, OPTIONAL, INTENT(IN ) :: GMT + INTEGER, OPTIONAL, INTENT(IN ) :: JULDAY + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: XLAT, XLONG + INTEGER, INTENT(IN ) :: num_urban_ndm + INTEGER, INTENT(IN ) :: urban_map_zrd + INTEGER, INTENT(IN ) :: urban_map_zwd + INTEGER, INTENT(IN ) :: urban_map_gd + INTEGER, INTENT(IN ) :: urban_map_zd + INTEGER, INTENT(IN ) :: urban_map_zdf + INTEGER, INTENT(IN ) :: urban_map_bd + INTEGER, INTENT(IN ) :: urban_map_wd + INTEGER, INTENT(IN ) :: urban_map_gbd + INTEGER, INTENT(IN ) :: urban_map_fbd + INTEGER, INTENT(IN ) :: urban_map_zgrd + INTEGER, INTENT(IN ) :: NUM_URBAN_HI + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_urban_hi, jms:jme ), INTENT(IN ) :: hi_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: lp_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: lb_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: hgt_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: mh_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(IN ) :: stdh_urb2d + REAL, OPTIONAL, DIMENSION( ims:ime, 4, jms:jme ), INTENT(IN ) :: lf_urb2d + + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zrd, jms:jme ), INTENT(INOUT) :: trb_urb4d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zwd, jms:jme ), INTENT(INOUT) :: tw1_urb4d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zwd, jms:jme ), INTENT(INOUT) :: tw2_urb4d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_gd , jms:jme ), INTENT(INOUT) :: tgb_urb4d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_bd , jms:jme ), INTENT(INOUT) :: tlev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_bd , jms:jme ), INTENT(INOUT) :: qlev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_wd , jms:jme ), INTENT(INOUT) :: tw1lev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_wd , jms:jme ), INTENT(INOUT) :: tw2lev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_gbd, jms:jme ), INTENT(INOUT) :: tglev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_fbd, jms:jme ), INTENT(INOUT) :: tflev_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: lf_ac_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: sf_ac_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: cm_ac_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: sfvent_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: lfvent_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_wd , jms:jme ), INTENT(INOUT) :: sfwin1_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_wd , jms:jme ), INTENT(INOUT) :: sfwin2_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zd , jms:jme ), INTENT(INOUT) :: sfw1_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zd , jms:jme ), INTENT(INOUT) :: sfw2_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ), INTENT(INOUT) :: sfr_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_urban_ndm, jms:jme ), INTENT(INOUT) :: sfg_urb3d + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: ep_pv_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ), INTENT(INOUT) :: t_pv_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zgrd, jms:jme ),INTENT(INOUT) :: trv_urb4d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zgrd, jms:jme ),INTENT(INOUT) :: qr_urb4d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime,jms:jme ), INTENT(INOUT) :: qgr_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime,jms:jme ), INTENT(INOUT) :: tgr_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ),INTENT(INOUT) :: drain_urb4d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, jms:jme ), INTENT(INOUT) :: draingr_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ),INTENT(INOUT) :: sfrv_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ),INTENT(INOUT) :: lfrv_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ),INTENT(INOUT) :: dgr_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_urban_ndm, jms:jme ),INTENT(INOUT) :: dg_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:urban_map_zdf, jms:jme ),INTENT(INOUT) :: lfr_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, 1:num_urban_ndm, jms:jme ),INTENT(INOUT) :: lfg_urb3d !GRZ + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: a_u_bep !Implicit momemtum component X-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: a_v_bep !Implicit momemtum component Y-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: a_t_bep !Implicit component pot. temperature + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: a_q_bep !Implicit momemtum component X-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: a_e_bep !Implicit component TKE + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: b_u_bep !Explicit momentum component X-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: b_v_bep !Explicit momentum component Y-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: b_t_bep !Explicit component pot. temperature + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: b_q_bep !Implicit momemtum component Y-direction + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: b_e_bep !Explicit component TKE + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: vl_bep !Fraction air volume in grid cell + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: dlg_bep !Height above ground + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: sf_bep !Fraction air at the face of grid cell + REAL, OPTIONAL, DIMENSION( ims:ime, kms:kme, jms:jme ), INTENT(INOUT) :: dl_u_bep !Length scale + +! Local variables for multi-layer UCM + + REAL, DIMENSION( its:ite, jts:jte) :: HFX_RURAL,GRDFLX_RURAL ! ,LH_RURAL,RN_RURAL + REAL, DIMENSION( its:ite, jts:jte) :: QFX_RURAL ! ,QSFC_RURAL,UMOM_RURAL,VMOM_RURAL + REAL, DIMENSION( its:ite, jts:jte) :: ALB_RURAL,EMISS_RURAL,TSK_RURAL ! ,UST_RURAL + REAL, DIMENSION( its:ite, jts:jte) :: HFX_URB,UMOM_URB,VMOM_URB + REAL, DIMENSION( its:ite, jts:jte) :: QFX_URB + REAL, DIMENSION( its:ite, jts:jte) :: EMISS_URB + REAL, DIMENSION( its:ite, jts:jte) :: RL_UP_URB + REAL, DIMENSION( its:ite, jts:jte) :: RS_ABS_URB + REAL, DIMENSION( its:ite, jts:jte) :: GRDFLX_URB + + REAL :: SIGMA_SB,RL_UP_RURAL,RL_UP_TOT,RS_ABS_TOT,UMOM,VMOM + REAL :: r1,r2,r3 + REAL :: CMR_URB, CHR_URB, CMC_URB, CHC_URB, CMGR_URB, CHGR_URB + REAL :: frc_urb,lb_urb + REAL :: check + + character(len=80) :: message + + DO J=JTS,JTE + DO I=ITS,ITE + HFX_RURAL(I,J) = HFX(I,J) + QFX_RURAL(I,J) = QFX(I,J) + GRDFLX_RURAL(I,J) = GRDFLX(I,J) + EMISS_RURAL(I,J) = EMISS(I,J) + TSK_RURAL(I,J) = TSK(I,J) + ALB_RURAL(I,J) = ALBEDO(I,J) + END DO + END DO + +IF (SF_URBAN_PHYSICS == 1 ) THEN ! Beginning of UCM CALL if block + +!-------------------------------------- +! URBAN CANOPY MODEL START +!-------------------------------------- + +JLOOP : DO J = jts, jte + +ILOOP : DO I = its, ite + + IF( IVGTYP(I,J) == NoahmpIO%ISURBAN_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_1_TABLE .or. & + IVGTYP(I,J) == NoahmpIO%LCZ_2_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_3_TABLE .or. & + IVGTYP(I,J) == NoahmpIO%LCZ_4_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_5_TABLE .or. & + IVGTYP(I,J) == NoahmpIO%LCZ_6_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_7_TABLE .or. & + IVGTYP(I,J) == NoahmpIO%LCZ_8_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_9_TABLE .or. & + IVGTYP(I,J) == NoahmpIO%LCZ_10_TABLE .or. IVGTYP(I,J) == NoahmpIO%LCZ_11_TABLE ) THEN + + UTYPE_URB = UTYPE_URB2D(I,J) !urban type (low, high or industrial) + + TA_URB = T3D(I,1,J) ! [K] + QA_URB = QV3D(I,1,J)/(1.0+QV3D(I,1,J)) ! [kg/kg] + UA_URB = SQRT(U_PHY(I,1,J)**2.+V_PHY(I,1,J)**2.) + U1_URB = U_PHY(I,1,J) + V1_URB = V_PHY(I,1,J) + IF(UA_URB < 1.) UA_URB=1. ! [m/s] + SSG_URB = SWDOWN(I,J) ! [W/m/m] + SSGD_URB = 0.8*SWDOWN(I,J) ! [W/m/m] + SSGQ_URB = SSG_URB-SSGD_URB ! [W/m/m] + LLG_URB = GLW(I,J) ! [W/m/m] + RAIN_URB = RAINBL(I,J) / DT * 3600.0 ! [mm/hr] + RHOO_URB = (P8W3D(I,KTS+1,J)+P8W3D(I,KTS,J))*0.5 / (287.04 * TA_URB * (1.0+ 0.61 * QA_URB)) ![kg/m/m/m] + ZA_URB = 0.5*DZ8W(I,1,J) ! [m] + DELT_URB = DT ! [sec] + XLAT_URB = XLAT_URB2D(I,J) ! [deg] + COSZ_URB = COSZ_URB2D(I,J) + OMG_URB = OMG_URB2D(I,J) + ZNT_URB = ZNT(I,J) + + LSOLAR_URB = .FALSE. + + TR_URB = TR_URB2D(I,J) + TB_URB = TB_URB2D(I,J) + TG_URB = TG_URB2D(I,J) + TC_URB = TC_URB2D(I,J) + QC_URB = QC_URB2D(I,J) + UC_URB = UC_URB2D(I,J) + + TGR_URB = TGR_URB2D(I,J) + CMCR_URB = CMCR_URB2D(I,J) + FLXHUMR_URB = FLXHUMR_URB2D(I,J) + FLXHUMB_URB = FLXHUMB_URB2D(I,J) + FLXHUMG_URB = FLXHUMG_URB2D(I,J) + DRELR_URB = DRELR_URB2D(I,J) + DRELB_URB = DRELB_URB2D(I,J) + DRELG_URB = DRELG_URB2D(I,J) + + DO K = 1,num_roof_layers + TRL_URB(K) = TRL_URB3D(I,K,J) + SMR_URB(K) = SMR_URB3D(I,K,J) + TGRL_URB(K)= TGRL_URB3D(I,K,J) + END DO + + DO K = 1,num_wall_layers + TBL_URB(K) = TBL_URB3D(I,K,J) + END DO + + DO K = 1,num_road_layers + TGL_URB(K) = TGL_URB3D(I,K,J) + END DO + + XXXR_URB = XXXR_URB2D(I,J) + XXXB_URB = XXXB_URB2D(I,J) + XXXG_URB = XXXG_URB2D(I,J) + XXXC_URB = XXXC_URB2D(I,J) + +! Limits to avoid dividing by small number + IF (CHS(I,J) < 1.0E-02) THEN + CHS(I,J) = 1.0E-02 + ENDIF + IF (CHS2(I,J) < 1.0E-02) THEN + CHS2(I,J) = 1.0E-02 + ENDIF + IF (CQS2(I,J) < 1.0E-02) THEN + CQS2(I,J) = 1.0E-02 + ENDIF + + CHS_URB = CHS(I,J) + CHS2(I,J)= CQS2(I,J) + CHS2_URB = CHS2(I,J) + IF (PRESENT(CMR_SFCDIF)) THEN + CMR_URB = CMR_SFCDIF(I,J) + CHR_URB = CHR_SFCDIF(I,J) + CMGR_URB = CMGR_SFCDIF(I,J) + CHGR_URB = CHGR_SFCDIF(I,J) + CMC_URB = CMC_SFCDIF(I,J) + CHC_URB = CHC_SFCDIF(I,J) + ENDIF + +! NUDAPT for SLUCM + + MH_URB = MH_URB2D(I,J) + STDH_URB = STDH_URB2D(I,J) + LP_URB = LP_URB2D(I,J) + HGT_URB = HGT_URB2D(I,J) + LF_URB = 0.0 + DO K = 1,4 + LF_URB(K) = LF_URB2D(I,K,J) + ENDDO + FRC_URB = FRC_URB2D(I,J) + LB_URB = LB_URB2D(I,J) + CHECK = 0 + IF (I.EQ.73.AND.J.EQ.125)THEN + CHECK = 1 + END IF + +! Call urban + + CALL cal_mon_day(julian,julyr,jmonth,jday) + CALL urban(LSOLAR_URB, & ! I + num_roof_layers, num_wall_layers, num_road_layers, & ! C + DZR, DZB, DZG, & ! C + UTYPE_URB, TA_URB, QA_URB, UA_URB, U1_URB, V1_URB, SSG_URB, & ! I + SSGD_URB, SSGQ_URB, LLG_URB, RAIN_URB, RHOO_URB, & ! I + ZA_URB, DECLIN_URB, COSZ_URB, OMG_URB, & ! I + XLAT_URB, DELT_URB, ZNT_URB, & ! I + CHS_URB, CHS2_URB, & ! I + TR_URB, TB_URB, TG_URB, TC_URB, QC_URB, UC_URB, & ! H + TRL_URB, TBL_URB, TGL_URB, & ! H + XXXR_URB, XXXB_URB, XXXG_URB, XXXC_URB, & ! H + TS_URB, QS_URB, SH_URB, LH_URB, LH_KINEMATIC_URB, & ! O + SW_URB, ALB_URB, LW_URB, G_URB, RN_URB, PSIM_URB, PSIH_URB, & ! O + GZ1OZ0_URB, & !O + CMR_URB, CHR_URB, CMC_URB, CHC_URB, & + U10_URB, V10_URB, TH2_URB, Q2_URB, & ! O + UST_URB, mh_urb, stdh_urb, lf_urb, lp_urb, & ! 0 + hgt_urb, frc_urb, lb_urb, check, CMCR_URB,TGR_URB, & ! H + TGRL_URB, SMR_URB, CMGR_URB, CHGR_URB, jmonth, & ! H + DRELR_URB, DRELB_URB, & ! H + DRELG_URB,FLXHUMR_URB,FLXHUMB_URB,FLXHUMG_URB ) + + TS_URB2D(I,J) = TS_URB + + ALBEDO(I,J) = FRC_URB2D(I,J) * ALB_URB + (1-FRC_URB2D(I,J)) * ALBEDO(I,J) ![-] + HFX(I,J) = FRC_URB2D(I,J) * SH_URB + (1-FRC_URB2D(I,J)) * HFX(I,J) ![W/m/m] + QFX(I,J) = FRC_URB2D(I,J) * LH_KINEMATIC_URB & + + (1-FRC_URB2D(I,J))* QFX(I,J) ![kg/m/m/s] + LH(I,J) = FRC_URB2D(I,J) * LH_URB + (1-FRC_URB2D(I,J)) * LH(I,J) ![W/m/m] + GRDFLX(I,J) = FRC_URB2D(I,J) * (G_URB) + (1-FRC_URB2D(I,J)) * GRDFLX(I,J) ![W/m/m] + TSK(I,J) = FRC_URB2D(I,J) * TS_URB + (1-FRC_URB2D(I,J)) * TSK(I,J) ![K] +! Q1 = QSFC(I,J)/(1.0+QSFC(I,J)) +! Q1 = FRC_URB2D(I,J) * QS_URB + (1-FRC_URB2D(I,J)) * Q1 ![-] + +! Convert QSFC back to mixing ratio + +! QSFC(I,J) = Q1/(1.0-Q1) + QSFC(I,J)= FRC_URB2D(I,J)*QS_URB+(1-FRC_URB2D(I,J))*QSFC(I,J) !! QSFC(I,J)=QSFC1D + UST(I,J) = FRC_URB2D(I,J) * UST_URB + (1-FRC_URB2D(I,J)) * UST(I,J) ![m/s] + +! Renew Urban State Variables + + TR_URB2D(I,J) = TR_URB + TB_URB2D(I,J) = TB_URB + TG_URB2D(I,J) = TG_URB + TC_URB2D(I,J) = TC_URB + QC_URB2D(I,J) = QC_URB + UC_URB2D(I,J) = UC_URB + + TGR_URB2D(I,J) = TGR_URB + CMCR_URB2D(I,J) = CMCR_URB + FLXHUMR_URB2D(I,J) = FLXHUMR_URB + FLXHUMB_URB2D(I,J) = FLXHUMB_URB + FLXHUMG_URB2D(I,J) = FLXHUMG_URB + DRELR_URB2D(I,J) = DRELR_URB + DRELB_URB2D(I,J) = DRELB_URB + DRELG_URB2D(I,J) = DRELG_URB + + DO K = 1,num_roof_layers + TRL_URB3D(I,K,J) = TRL_URB(K) + SMR_URB3D(I,K,J) = SMR_URB(K) + TGRL_URB3D(I,K,J)= TGRL_URB(K) + END DO + DO K = 1,num_wall_layers + TBL_URB3D(I,K,J) = TBL_URB(K) + END DO + DO K = 1,num_road_layers + TGL_URB3D(I,K,J) = TGL_URB(K) + END DO + + XXXR_URB2D(I,J) = XXXR_URB + XXXB_URB2D(I,J) = XXXB_URB + XXXG_URB2D(I,J) = XXXG_URB + XXXC_URB2D(I,J) = XXXC_URB + + SH_URB2D(I,J) = SH_URB + LH_URB2D(I,J) = LH_URB + G_URB2D(I,J) = G_URB + RN_URB2D(I,J) = RN_URB + PSIM_URB2D(I,J) = PSIM_URB + PSIH_URB2D(I,J) = PSIH_URB + GZ1OZ0_URB2D(I,J) = GZ1OZ0_URB + U10_URB2D(I,J) = U10_URB + V10_URB2D(I,J) = V10_URB + TH2_URB2D(I,J) = TH2_URB + Q2_URB2D(I,J) = Q2_URB + UST_URB2D(I,J) = UST_URB + AKMS_URB2D(I,J) = KARMAN * UST_URB2D(I,J)/(GZ1OZ0_URB2D(I,J)-PSIM_URB2D(I,J)) + IF (PRESENT(CMR_SFCDIF)) THEN + CMR_SFCDIF(I,J) = CMR_URB + CHR_SFCDIF(I,J) = CHR_URB + CMGR_SFCDIF(I,J) = CMGR_URB + CHGR_SFCDIF(I,J) = CHGR_URB + CMC_SFCDIF(I,J) = CMC_URB + CHC_SFCDIF(I,J) = CHC_URB + ENDIF + + ENDIF ! urban land used type block + +ENDDO ILOOP ! of I loop +ENDDO JLOOP ! of J loop + +ENDIF ! sf_urban_physics = 1 block + +!-------------------------------------- +! URBAN CANOPY MODEL END +!-------------------------------------- + +!-------------------------------------- +! URBAN BEP and BEM MODEL BEGIN +!-------------------------------------- + +IF (SF_URBAN_PHYSICS == 2) THEN + +DO J=JTS,JTE +DO I=ITS,ITE + + EMISS_URB(I,J) = 0. + RL_UP_URB(I,J) = 0. + RS_ABS_URB(I,J) = 0. + GRDFLX_URB(I,J) = 0. + B_Q_BEP(I,KTS:KTE,J) = 0. + +END DO +END DO + + CALL BEP(frc_urb2d, utype_urb2d, itimestep, dz8w, & + dt, u_phy, v_phy, & + th_phy, rho, p_phy, swdown, glw, & + gmt, julday, xlong, xlat, & + declin_urb, cosz_urb2d, omg_urb2d, & + num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & + urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & + urban_map_gbd, urban_map_fbd, num_urban_hi, & + trb_urb4d, tw1_urb4d, tw2_urb4d, tgb_urb4d, & + sfw1_urb3d, sfw2_urb3d, sfr_urb3d, sfg_urb3d, & + lp_urb2d, hi_urb2d, lb_urb2d, hgt_urb2d, & + a_u_bep, a_v_bep, a_t_bep, & + a_e_bep, b_u_bep, b_v_bep, & + b_t_bep, b_e_bep, b_q_bep, dlg_bep, & + dl_u_bep, sf_bep, vl_bep, & + rl_up_urb, rs_abs_urb, emiss_urb, grdflx_urb, & + ids,ide, jds,jde, kds,kde, & + ims,ime, jms,jme, kms,kme, & + its,ite, jts,jte, kts,kte ) + +ENDIF ! SF_URBAN_PHYSICS == 2 + +IF (SF_URBAN_PHYSICS == 3) THEN + +DO J=JTS,JTE +DO I=ITS,ITE + + EMISS_URB(I,J) = 0. + RL_UP_URB(I,J) = 0. + RS_ABS_URB(I,J) = 0. + GRDFLX_URB(I,J) = 0. + B_Q_BEP(I,KTS:KTE,J) = 0. + +END DO +END DO + + CALL BEP_BEM( frc_urb2d, utype_urb2d, itimestep, dz8w, & + dt, u_phy, v_phy, & + th_phy, rho, p_phy, swdown, glw, & + gmt, julday, xlong, xlat, & + declin_urb, cosz_urb2d, omg_urb2d, & + num_urban_ndm, urban_map_zrd, urban_map_zwd, urban_map_gd, & + urban_map_zd, urban_map_zdf, urban_map_bd, urban_map_wd, & + urban_map_gbd, urban_map_fbd, urban_map_zgrd,num_urban_hi, & + trb_urb4d, tw1_urb4d, tw2_urb4d, tgb_urb4d, & + tlev_urb3d, qlev_urb3d, tw1lev_urb3d, tw2lev_urb3d, & + tglev_urb3d, tflev_urb3d, sf_ac_urb3d, lf_ac_urb3d, & + cm_ac_urb3d, sfvent_urb3d, lfvent_urb3d, & + sfwin1_urb3d, sfwin2_urb3d, & + sfw1_urb3d, sfw2_urb3d, sfr_urb3d, sfg_urb3d, & + ep_pv_urb3d, t_pv_urb3d, & !RMS + trv_urb4d, qr_urb4d, qgr_urb3d, tgr_urb3d, & !RMS + drain_urb4d,draingr_urb3d, sfrv_urb3d, lfrv_urb3d, & !RMS + dgr_urb3d, dg_urb3d, lfr_urb3d, lfg_urb3d, & !RMS + rainbl, swddir, swddif, & + lp_urb2d, hi_urb2d, lb_urb2d, hgt_urb2d, & + a_u_bep, a_v_bep, a_t_bep, & + a_e_bep, b_u_bep, b_v_bep, & + b_t_bep, b_e_bep, b_q_bep, dlg_bep, & + dl_u_bep, sf_bep, vl_bep, & + rl_up_urb, rs_abs_urb, emiss_urb, grdflx_urb, qv3d, & + ids,ide, jds,jde, kds,kde, & + ims,ime, jms,jme, kms,kme, & + its,ite, jts,jte, kts,kte ) + +ENDIF ! SF_URBAN_PHYSICS == 3 + +IF((SF_URBAN_PHYSICS == 2).OR.(SF_URBAN_PHYSICS == 3))THEN + + sigma_sb=5.67e-08 + do j = jts, jte + do i = its, ite + UMOM_URB(I,J) = 0. + VMOM_URB(I,J) = 0. + HFX_URB(I,J) = 0. + QFX_URB(I,J) = 0. + + do k=kts,kte + a_u_bep(i,k,j) = a_u_bep(i,k,j)*frc_urb2d(i,j) + a_v_bep(i,k,j) = a_v_bep(i,k,j)*frc_urb2d(i,j) + a_t_bep(i,k,j) = a_t_bep(i,k,j)*frc_urb2d(i,j) + a_q_bep(i,k,j) = 0. + a_e_bep(i,k,j) = 0. + b_u_bep(i,k,j) = b_u_bep(i,k,j)*frc_urb2d(i,j) + b_v_bep(i,k,j) = b_v_bep(i,k,j)*frc_urb2d(i,j) + b_t_bep(i,k,j) = b_t_bep(i,k,j)*frc_urb2d(i,j) + b_q_bep(i,k,j) = b_q_bep(i,k,j)*frc_urb2d(i,j) + b_e_bep(i,k,j) = b_e_bep(i,k,j)*frc_urb2d(i,j) + HFX_URB(I,J) = HFX_URB(I,J) + B_T_BEP(I,K,J)*RHO(I,K,J)*CP*DZ8W(I,K,J)*VL_BEP(I,K,J) + QFX_URB(I,J) = QFX_URB(I,J) + B_Q_BEP(I,K,J)*DZ8W(I,K,J)*VL_BEP(I,K,J) + UMOM_URB(I,J) = UMOM_URB(I,J)+ (A_U_BEP(I,K,J)*U_PHY(I,K,J)+B_U_BEP(I,K,J))*DZ8W(I,K,J)*VL_BEP(I,K,J) + VMOM_URB(I,J) = VMOM_URB(I,J)+ (A_V_BEP(I,K,J)*V_PHY(I,K,J)+B_V_BEP(I,K,J))*DZ8W(I,K,J)*VL_BEP(I,K,J) + vl_bep(i,k,j) = (1.-frc_urb2d(i,j)) + vl_bep(i,k,j)*frc_urb2d(i,j) + sf_bep(i,k,j) = (1.-frc_urb2d(i,j)) + sf_bep(i,k,j)*frc_urb2d(i,j) + end do + + a_u_bep(i,1,j) = (1.-frc_urb2d(i,j))*(-ust(I,J)*ust(I,J))/dz8w(i,1,j)/ & + ((u_phy(i,1,j)**2+v_phy(i,1,j)**2.)**.5)+a_u_bep(i,1,j) + + a_v_bep(i,1,j) = (1.-frc_urb2d(i,j))*(-ust(I,J)*ust(I,J))/dz8w(i,1,j)/ & + ((u_phy(i,1,j)**2+v_phy(i,1,j)**2.)**.5)+a_v_bep(i,1,j) + + b_t_bep(i,1,j) = (1.-frc_urb2d(i,j))*hfx_rural(i,j)/dz8w(i,1,j)/rho(i,1,j)/CP+ & + b_t_bep(i,1,j) + + b_q_bep(i,1,j) = (1.-frc_urb2d(i,j))*qfx_rural(i,j)/dz8w(i,1,j)/rho(i,1,j)+b_q_bep(i,1,j) + + umom = (1.-frc_urb2d(i,j))*ust(i,j)*ust(i,j)*u_phy(i,1,j)/ & + ((u_phy(i,1,j)**2+v_phy(i,1,j)**2.)**.5)+umom_urb(i,j) + + vmom = (1.-frc_urb2d(i,j))*ust(i,j)*ust(i,j)*v_phy(i,1,j)/ & + ((u_phy(i,1,j)**2+v_phy(i,1,j)**2.)**.5)+vmom_urb(i,j) + sf_bep(i,1,j) = 1. + +! using the emissivity and the total longwave upward radiation estimate the averaged skin temperature + + IF (FRC_URB2D(I,J).GT.0.) THEN + rl_up_rural = -emiss_rural(i,j)*sigma_sb*(tsk_rural(i,j)**4.)-(1.-emiss_rural(i,j))*glw(i,j) + rl_up_tot = (1.-frc_urb2d(i,j))*rl_up_rural + frc_urb2d(i,j)*rl_up_urb(i,j) + emiss(i,j) = (1.-frc_urb2d(i,j))*emiss_rural(i,j)+ frc_urb2d(i,j)*emiss_urb(i,j) + ts_urb2d(i,j) = (max(0.,(-rl_up_urb(i,j)-(1.-emiss_urb(i,j))*glw(i,j))/emiss_urb(i,j)/sigma_sb))**0.25 + tsk(i,j) = (max(0., (-1.*rl_up_tot-(1.-emiss(i,j))*glw(i,j) )/emiss(i,j)/sigma_sb))**.25 + rs_abs_tot = (1.-frc_urb2d(i,j))*swdown(i,j)*(1.-albedo(i,j))+frc_urb2d(i,j)*rs_abs_urb(i,j) + + if(swdown(i,j) > 0.)then + albedo(i,j) = 1.-rs_abs_tot/swdown(i,j) + else + albedo(i,j) = alb_rural(i,j) + endif + +! rename *_urb to sh_urb2d,lh_urb2d,g_urb2d,rn_urb2d + + grdflx(i,j) = (1.-frc_urb2d(i,j))*grdflx_rural(i,j)+ frc_urb2d(i,j)*grdflx_urb(i,j) + qfx(i,j) = (1.-frc_urb2d(i,j))*qfx_rural(i,j) + qfx_urb(i,j) + lh(i,j) = qfx(i,j)*xlv + hfx(i,j) = hfx_urb(i,j) + (1-frc_urb2d(i,j))*hfx_rural(i,j) ![W/m/m] + sh_urb2d(i,j) = hfx_urb(i,j)/frc_urb2d(i,j) + lh_urb2d(i,j) = qfx_urb(i,j)*xlv/frc_urb2d(i,j) + g_urb2d(i,j) = grdflx_urb(i,j) + rn_urb2d(i,j) = rs_abs_urb(i,j)+emiss_urb(i,j)*glw(i,j)-rl_up_urb(i,j) + ust(i,j) = (umom**2.+vmom**2.)**.25 + + ELSE + + sh_urb2d(i,j) = 0. + lh_urb2d(i,j) = 0. + g_urb2d(i,j) = 0. + rn_urb2d(i,j) = 0. + + ENDIF + + enddo ! jloop + enddo ! iloop + +ENDIF ! SF_URBAN_PHYSICS == 2 or 3 + +!-------------------------------------- +! URBAN BEP and BEM MODEL END +!-------------------------------------- + + +END SUBROUTINE noahmp_urban + +end module NoahmpUrbanDriverMainMod diff --git a/urban/wrf/URBPARM.TBL b/urban/wrf/URBPARM.TBL new file mode 100644 index 0000000..dab006d --- /dev/null +++ b/urban/wrf/URBPARM.TBL @@ -0,0 +1,558 @@ +# The parameters in this table may vary greatly from city to city. +# The default values are probably not appropriate for any given city. +# Users should adapt these values based on the city they are working +# with. + +# Urban Parameters depending on Urban type +# USGS + +Number of urban categories: 3 + +# +# Where there are multiple columns of values, the values refer, in +# order, to: 1) Low density residential, 2) High density residential, +# and 3) Commercial: I.e.: +# +# Index: 1 2 3 +# Type: Low-dens Res, Hi-dens Res, Commercial +# + +# +# ZR: Roof level (building height) [ m ] +# (sf_urban_physics=1) + +ZR: 5.0, 7.5, 10.0 + +# +# SIGMA_ZED: Standard Deviation of roof height [ m ] +# (sf_urban_physics=1) + +SIGMA_ZED: 1.0, 3.0, 4.0 + +# +# ROOF_WIDTH: Roof (i.e., building) width [ m ] +# (sf_urban_physics=1) + +ROOF_WIDTH: 8.3, 9.4, 10.0 + +# +# ROAD_WIDTH: road width [ m ] +# (sf_urban_physics=1) +# + +ROAD_WIDTH: 8.3, 9.4, 10.0 + +# +# AH: Anthropogenic heat [ W m{-2} ] +# (sf_urban_physics=1) +# + +AH: 20.0, 50.0, 90.0 + + +# +# ALH: Anthropogenic latent heat [ W m{-2} ] +# (sf_urban_physics=1) +# + +ALH: 20.0, 25.0, 40.0 + +# +# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing +# surface layer exchange coefficients. +# (sf_urban_physics=1) + +AKANDA_URBAN: 1.29 1.29 1.29 + +# +# DDZR: Thickness of each roof layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) + + +DDZR: 0.05, 0.05, 0.05, 0.05 + +# +# DDZB: Thickness of each building wall layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZB: 0.05, 0.05, 0.05, 0.05 + +# +# DDZG: Thickness of each ground (road) layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZG: 0.05, 0.25, 0.50, 0.75 + +# +# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDR: 1 + +# +# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDB: 1 + +# +# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDG: 1 + +# +# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] +# (sf_urban_physics=1) +# + +CH_SCHEME: 2 + +# +# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] +# (sf_urban_physics=1) +# + +TS_SCHEME: 1 + +# +# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] +# (sf_urban_physics=1) +# + +AHOPTION: 0 + +# +# Anthropogenic Heating diurnal profile. +# Multiplication factor applied to AH (as defined in the table above) +# Hourly values ( 24 of them ), starting at 01 hours Local Time. +# For sub-hourly model time steps, value changes on the hour and is +# held constant until the next hour. +# (sf_urban_physics=1) +# + +AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 + +# +# ALHOPTION [ 0: No anthropogenic latent heat, 1: Anthropogenic heating will be added to latent heat flux term ] +# (sf_urban_physics=1) +# + +ALHOPTION: 0 + +# +# Anthropogenic latent heat: seasonal coefficient of daily maximum values +# From left to right in order: Spring (MAM), Summer(JJA), Fall(SON), Winter(DJF) +# (sf_urban_physics=1) +# + +ALHSEASON: 0.43 1.00 0.54 0.40 + +# +# Anthropogenic latent heat diurnal profile. +# Multiplication factor applied to seasonal ALH (as defined above) +# Half-hourly values ( 48 of them ), starting at 00:30 hours Local Time. +# (sf_urban_physics=1) +# + +ALHDIUPRF: 0.436 0.421 0.391 0.356 0.311 0.301 0.306 0.295 0.253 0.205 0.177 0.162 0.148 0.121 0.118 0.146 0.210 0.250 0.227 0.162 0.127 0.184 0.306 0.413 0.487 0.559 0.639 0.728 0.754 0.812 0.867 0.969 1.000 0.949 0.840 0.775 0.758 0.756 0.706 0.658 0.637 0.632 0.636 0.633 0.639 0.615 0.553 0.485 + +# Oasis effect +# Multiplication factor applied to potential ET of vegetation in urban areas +# Value should be larger than 1 when actived +# (sf_urban_physics=1) + +OASIS: 1.0 + +# Evaporation scheme for impervious surfaces (for roof, wall, and road) +# [1: Hypothesized evaporation during large rainfall events (Original) +# [2: Water-holding scheme over impervious surface, Yang et al., 2014 +# (sf_urban_physics=1) + +IMP_SCHEME: 1 + +# Porosity of pavement materials on impervious surface +# For calculating latent heat flux over impervious surface +# From left to right in order: roof, wall, road +# (sf_urban_physics=1,IMP_SCHEME=2) +# + +PORIMP: 0.45 0.45 0.45 + +# Maximum water-holding depth of pavement materials on impervious surface [m] +# For calculating latent heat flux over impervious surface +# From left to right in order: roof, wall, road +# (sf_urban_physics=1,IMP_SCHEME=2) +# + +DENGIMP: 0.001 0.0002 0.001 + +# Urban irrigation scheme, for vegetation in urban area and green roof +# [0: No irrigation +# [1: Summertime (May-Sep) irrigation everyday at 9pm +# (sf_urban_physics=1) + +IRI_SCHEME: 0 + +# +# GROPTION [ 0: No green roof, 1: Enable green roof simulation] +# (sf_urban_physics=1) +# + +GROPTION: 0 + +# Surface fraction of green roof over urban rooftop (0-1) +# (sf_urban_physics=1) +# + +FGR: 0.0 + +# +# DZGR: Thickness of each layer on green roof [ m ] +# Green roof structure: 4-layers +# 1: Top Soil layer 2:Soil layer 3: Growing Medium layer +# 4: concrete roof (depth depends on DDZR defined earlier in this table) +# (sf_urban_physics=1) + +DZGR: 0.05 0.10 0.15 0.20 + +# +# FRC_URB: Fraction of the urban landscape which does not have natural +# vegetation. [ Fraction ] +# (sf_urban_physics=1,2,3) +# + +FRC_URB: 0.5, 0.9, 0.95 + +# +# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPR: 1.0E6, 1.0E6, 1.0E6, + +# +# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPB: 1.0E6, 1.0E6, 1.0E6, + +# +# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPG: 1.4E6, 1.4E6, 1.4E6, + +# +# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSR: 0.67, 0.67, 0.67, + +# +# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSB: 0.67, 0.67, 0.67, + +# +# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSG: 0.4004, 0.4004, 0.4004, + +# +# ALBR: Surface albedo of roof [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBR: 0.20, 0.20, 0.20 + +# +# ALBB: Surface albedo of building wall [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBB: 0.20, 0.20, 0.20 + +# +# ALBG: Surface albedo of ground (road) [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBG: 0.20, 0.20, 0.20 + +# +# EPSR: Surface emissivity of roof [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSR: 0.90, 0.90, 0.90 + +# +# EPSB: Surface emissivity of building wall [-] +# (sf_urban_physics=1,2,3) +# + +EPSB: 0.90, 0.90, 0.90 + +# +# EPSG: Surface emissivity of ground (road) [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSG: 0.95, 0.95, 0.95 + +# +# Z0B: Roughness length for momentum, over building wall [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1) +# + +Z0B: 0.0001, 0.0001, 0.0001 + +# +# Z0G: Roughness length for momentum, over ground (road) [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1,2,3) +# + +Z0G: 0.01, 0.01, 0.01 + +# +# Z0R: Roughness length for momentum over roof [ m ] +# (sf_urban_physics=2,3) +# + +Z0R: 0.01, 0.01, 0.01 + +# +# TRLEND: Lower boundary condition for roof temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TRLEND: 293.00, 293.00, 293.00 + +# +# TBLEND: Lower boundary temperature for building wall temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TBLEND: 293.00, 293.00, 293.00 + +# +# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TGLEND: 293.00, 293.00, 293.00 + +# +# COP: Coefficient of performance of the A/C systems [ - ] +# (sf_urban_physics=3) +# + +COP: 3.5, 3.5, 3.5 + +# +# BLDAC_FRC: fraction of buildings installed with A/C systems [ - ] +# (sf_urban_physics=3) +# + +BLDAC_FRC: 1.0, 1.0, 1.0 + +# +# COOLED_FRC: fraction of cooled floor area in buildings [ - ] +# (sf_urban_physics=3) +# +COOLED_FRC: 1.0, 1.0, 1.0 + +# +# PWIN: Coverage area fraction of windows in the walls of the building [ - ] +# (sf_urban_physics=3) +# + +PWIN: 0.2, 0.2, 0.2 + +# +# BETA: Thermal efficiency of heat exchanger +# (sf_urban_physics=3) +# + +BETA: 0.75, 0.75, 0.75 + +# +# SW_COND: Air conditioning switch, 1=ON +# (sf_urban_physics=3) +# + +SW_COND: 1, 1, 1 + +# +# TIME_ON: Initial local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_ON: 0., 0., 0. + +# +# TIME_OFF: End local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_OFF: 24., 24., 24. + +# +# TARGTEMP: Target Temperature of the A/C systems, [ K ] +# (sf_urban_physics=3) +# + +TARGTEMP: 298., 298., 297. + +# +# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] +# (sf_urban_physics=3) +# + +GAPTEMP: 0.5, 0.5, 0.5 + +# +# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +TARGHUM: 0.005, 0.005, 0.005 + +# +# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +GAPHUM: 0.005, 0.005, 0.005 + +# +# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] +# (sf_urban_physics=3) +# + +PERFLO: 0.01, 0.01, 0.02 + +# +# HSEQUIP: Diurnal heating profile of heat generated by equipments +# (sf_urban_physics=3) +# + +HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 + +# +# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] +# (sf_urban_physics=3) +# + +HSEQUIP_SCALE_FACTOR: 16.00, 20.00, 36.00 + +# +# GR_FLAG: 1 to switch on green roof model (0-1) +# (sf_urban_physics=3) +# + +GR_FLAG:0 + +# +# GR_TYPE: 1 for GRASS, 2 for SEDUM vegetation on the green roof +# (sf_urban_physics=3) +# + +GR_TYPE: 2 + +# +# GR_FRAC_ROOF: fraction of green roof over the roof (0:1) +# (sf_urban_physics=3) +# + +GR_FRAC_ROOF:0,0,0 + +# +# HSEQUIP: Diurnal profile of sprinkler irrigation for the green roof +# (sf_urban_physics=3) +# + +IRHO:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 + + +# +# PV_FRAC_ROOF: fraction of photovoltaic panels over the roof (0:1) +# (sf_urban_physics=3) +# + +PV_FRAC_ROOF: 0,0,0 + + + + +STREET PARAMETERS: +# (sf_urban_physics=2,3) + +# urban street street building +# category direction width width +# [index] [deg from N] [m] [m] + + 1 0.0 30. 13. + 1 90.0 30. 13. + 2 0.0 25. 17. + 2 90.0 25. 17. + 3 0.0 20. 20. + 3 90.0 20. 20. + +END STREET PARAMETERS + +BUILDING HEIGHTS: 1 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 15.0 + 10.0 70.0 + 15.0 15.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 2 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 0.0 + 10.0 20.0 + 15.0 60.0 + 20.0 20.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 3 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 0.0 + 10.0 0.0 + 15.0 10.0 + 20.0 25.0 + 25.0 40.0 + 30.0 25.0 + 35.0 0.0 +END BUILDING HEIGHTS diff --git a/urban/wrf/URBPARM_LCZ.TBL b/urban/wrf/URBPARM_LCZ.TBL new file mode 100644 index 0000000..51d7bb2 --- /dev/null +++ b/urban/wrf/URBPARM_LCZ.TBL @@ -0,0 +1,647 @@ +# The parameters in this table may vary greatly from city to city. +# The default values are probably not appropriate for any given city. +# Users should adapt these values based on the city they are working +# with. + +# Urban Parameters depending on Urban type +# USGS + +Number of urban categories: 11 + +# +# Where there are multiple columns of values, the values refer, in +# order, to: 1) Commercial, 2) High intensity residential, and 3) Low +# intensity residential: I.e.: +# +# Index: 1 2 3 4 5 6 7 8 9 10 11 +# Type: Comp High-Rise, Comp Mid-Rise, Comp Low-Rise, Op H-Rise, Op M-Rise, Op L-Rise, Lightweight L-Rise, Large L-Rise, Sparsely Built, Heavy Indus Asphalt + +# +# ZR: Roof level (building height) [ m ] +# (sf_urban_physics=1) + +ZR: 37.5, 17.5, 6.5, 37.5, 17.5, 6.5, 3., 6.5, 6.5, 10., 10. + +# +# SIGMA_ZED: Standard Deviation of roof height [ m ] +# (sf_urban_physics=1) + +SIGMA_ZED: 4.0, 3.0, 1.0, 1., 1., 1., 1., 1., 1., 1., 1. + +# +# ROOF_WIDTH: Roof (i.e., building) width [ m ] +# (sf_urban_physics=1) + +ROOF_WIDTH: 31.7, 25.7, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 17.6, 10. + +# +# ROAD_WIDTH: road width [ m ] +# (sf_urban_physics=1) +# + +ROAD_WIDTH: 98.9, 39.2, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0 + +# +# AH: Anthropogenic heat [ W m{-2} ] +# (sf_urban_physics=1) +# + +AH: 175.0, 37.5, 37.5, 25.0, 12.5, 12.5, 17.5, 25.0, 5.0, 350.0, 350.0 + + +# +# ALH: Anthropogenic latent heat [ W m{-2} ] +# (sf_urban_physics=1) +# + +ALH: 20.0, 25.0, 40.0,20.0, 25.0, 40.0,20.0, 25.0, 40.0,20.0, 25.0 + +# +# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing +# surface layer exchange coefficients. +# (sf_urban_physics=1) + +AKANDA_URBAN: 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 1.29 + +# +# DDZR: Thickness of each roof layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) + + +DDZR: 0.05, 0.05, 0.05, 0.05 + +# +# DDZB: Thickness of each building wall layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZB: 0.05, 0.05, 0.05, 0.05 + +# +# DDZG: Thickness of each ground (road) layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZG: 0.05, 0.25, 0.50, 0.75 + +# +# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDR: 1 + +# +# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDB: 1 + +# +# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDG: 1 + +# +# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] +# (sf_urban_physics=1) +# + +CH_SCHEME: 2 + +# +# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] +# (sf_urban_physics=1) +# + +TS_SCHEME: 1 + +# +# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] +# (sf_urban_physics=1) +# + +AHOPTION: 0 + +# +# Anthropogenic Heating diurnal profile. +# Multiplication factor applied to AH (as defined in the table above) +# Hourly values ( 24 of them ), starting at 01 hours Local Time. +# For sub-hourly model time steps, value changes on the hour and is +# held constant until the next hour. +# (sf_urban_physics=1) +# + +AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 + +# +# ALHOPTION [ 0: No anthropogenic latent heat, 1: Anthropogenic heating will be added to latent heat flux term ] +# (sf_urban_physics=1) +# + +ALHOPTION: 0 + +# +# Anthropogenic latent heat: seasonal coefficient of daily maximum values +# From left to right in order: Spring (MAM), Summer(JJA), Fall(SON), Winter(DJF) +# (sf_urban_physics=1) +# + +ALHSEASON: 0.43 1.00 0.54 0.40 + +# +# Anthropogenic latent heat diurnal profile. +# Multiplication factor applied to seasonal ALH (as defined above) +# Half-hourly values ( 48 of them ), starting at 00:30 hours Local Time. +# (sf_urban_physics=1) +# + +ALHDIUPRF: 0.436 0.421 0.391 0.356 0.311 0.301 0.306 0.295 0.253 0.205 0.177 0.162 0.148 0.121 0.118 0.146 0.210 0.250 0.227 0.162 0.127 0.184 0.306 0.413 0.487 0.559 0.639 0.728 0.754 0.812 0.867 0.969 1.000 0.949 0.840 0.775 0.758 0.756 0.706 0.658 0.637 0.632 0.636 0.633 0.639 0.615 0.553 0.485 + +# Oasis effect +# Multiplication factor applied to potential ET of vegetation in urban areas +# Value should be larger than 1 when actived +# (sf_urban_physics=1) + +OASIS: 1.0 + +# Evaporation scheme for impervious surfaces (for roof, wall, and road) +# [1: Hypothesized evaporation during large rainfall events (Original) +# [2: Water-holding scheme over impervious surface, Yang et al., 2014 +# (sf_urban_physics=1) + +IMP_SCHEME: 1 + +# Porosity of pavement materials on impervious surface +# For calculating latent heat flux over impervious surface +# From left to right in order: roof, wall, road +# (sf_urban_physics=1,IMP_SCHEME=2) +# + +PORIMP: 0.45 0.45 0.45 + +# Maximum water-holding depth of pavement materials on impervious surface [m] +# For calculating latent heat flux over impervious surface +# From left to right in order: roof, wall, road +# (sf_urban_physics=1,IMP_SCHEME=2) +# + +DENGIMP: 0.001 0.0002 0.001 + +# Urban irrigation scheme, for vegetation in urban area and green roof +# [0: No irrigation +# [1: Summertime (May-Sep) irrigation everyday at 9pm +# (sf_urban_physics=1) + +IRI_SCHEME: 0 + +# +# GROPTION [ 0: No green roof, 1: Enable green roof simulation] +# (sf_urban_physics=1) +# + +GROPTION: 0 + +# Surface fraction of green roof over urban rooftop (0-1) +# (sf_urban_physics=1) +# + +FGR: 0.0 + +# +# DZGR: Thickness of each layer on green roof [ m ] +# Green roof structure: 4-layers +# 1: Top Soil layer 2:Soil layer 3: Growing Medium layer +# 4: concrete roof (depth depends on DDZR defined earlier in this table) +# (sf_urban_physics=1) + +DZGR: 0.05 0.10 0.15 0.20 + +# +# FRC_URB: Fraction of the urban landscape which does not have natural +# vegetation. [ Fraction ] +# (sf_urban_physics=1,2,3) +# + +FRC_URB: 1.00, 0.99, 1.00, 0.65, 0.7, 0.65, 0.3, 0.85, 0.3, 0.55, 1.00 +# +# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPR: 1.32E6,1.32E6,1.32E6, 1.8E6, 1.32E6, 1.32E6, 2.0E6, 2.11E6, 1.32E6, 2.0E6, 1.94E6 + +# +# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPB: 1.54E6,1.54E6,1.54E6, 2.0E6, 1.54E6, 1.54E6, 2.0E6, 2.11E6, 1.54E6, 1.59E6, 1.94E6 + +# +# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPG: 1.74E6,1.74E6,1.74E6, 1.54E6, 1.94E6, 1.94E6, 1.74E6, 1.94E6, 1.47E6, 1.49E6, 1.94E6 + +# +# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSR: 1.54,1.54,1.54, 1.25, 1.54, 1.54, 0.35, 1.51, 1.00, 2.00, 0.75 + +# +# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSB: 1.51,1.51,1.51, 1.45, 1.51, 1.51,0.35,1.51,1.51, 1.33, 0.75 + +# +# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSG: 0.82, 0.82, 0.82, 0.64, 0.82, 0.82, 0.82, 0.82, 0.60, 0.75, 0.75 + +# +# ALBR: Surface albedo of roof [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBR: 0.30, 0.30, 0.30, 0.30, 0.30, 0.30, 0.70, 0.30, 0.30, 0.30, 0.12 + +# +# ALBB: Surface albedo of building wall [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBB: 0.35, 0.35, 0.35, 0.35, 0.35, 0.35, 0.70, 0.35, 0.35, 0.35, 0.12 + +# +# ALBG: Surface albedo of ground (road) [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBG: 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15 + +# +# EPSR: Surface emissivity of roof [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSR: 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.93 + +# +# EPSB: Surface emissivity of building wall [-] +# (sf_urban_physics=1,2,3) +# + +EPSB: 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.90, 0.93, 0.90, 0.90, 0.93 + +# +# EPSG: Surface emissivity of ground (road) [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSG: 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95 + +# +# Z0B: Roughness length for momentum, over building wall [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1) +# + +Z0B: 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001 + + +# +# Z0G: Roughness length for momentum, over ground (road) [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1,2,3) +# + +Z0G: 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01 + + +# +# Z0R: Roughness length for momentum over roof [ m ] +# (sf_urban_physics=2,3) +# + +Z0R: 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01 + + +# +# TRLEND: Lower boundary condition for roof temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TRLEND: 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00 + +# +# TBLEND: Lower boundary temperature for building wall temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TBLEND: 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00, 299.00 + +# +# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TGLEND: 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00, 293.00 +# +# COP: Coefficient of performance of the A/C systems [ - ] +# (sf_urban_physics=3) +# + +COP: 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5 +# +# BLDAC_FRC: fraction of buildings installed with A/C systems [ - ] +# (sf_urban_physics=3) +# + +BLDAC_FRC: 1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0 + +# +# COOLED_FRC: fraction of cooled floor area in buildings [ - ] +# (sf_urban_physics=3) +# +COOLED_FRC: 1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0, 1.0,1.0, 1.0 + + +# +# PWIN: Coverage area fraction of windows in the walls of the building [ - ] +# (sf_urban_physics=3) +# + +PWIN: 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.9, 0.2, 0.2, 0.2, 0.0 + +# +# BETA: Thermal efficiency of heat exchanger +# (sf_urban_physics=3) +# + +BETA: 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75 + +# +# SW_COND: Air conditioning switch, 1=ON +# (sf_urban_physics=3) +# + +SW_COND: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 + +# +# TIME_ON: Initial local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_ON: 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0. + +# +# TIME_OFF: End local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_OFF: 24., 24., 24., 24., 24., 24., 24., 24., 24., 24., 24. + +# +# TARGTEMP: Target Temperature of the A/C systems, [ K ] +# (sf_urban_physics=3) +# + +TARGTEMP: 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15, 294.15 + +# +# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] +# (sf_urban_physics=3) +# + +GAPTEMP: 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5 + +# +# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +TARGHUM: 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005 + +# +# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +GAPHUM: 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005 +# +# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] +# (sf_urban_physics=3) +# + +PERFLO: 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.00 + + +# +# HSEQUIP: Diurnal heating profile of heat generated by equipments +# (sf_urban_physics=3) +# + +HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 + +# +# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] +# (sf_urban_physics=3) +# + +HSEQUIP_SCALE_FACTOR: 36.00, 20.00, 20.00, 36.00, 20.00, 20.00, 20.00, 36.00, 20.00, 20.00, 20.00 + + +# +# GR_FLAG: 1 to switch on green roof model (0-1) +# (sf_urban_physics=3) +# + +GR_FLAG:0 + +# +# GR_TYPE: 1 for GRASS, 2 for SEDUM vegetation on the green roof +# (sf_urban_physics=3) +# + +GR_TYPE: 2 + +# +# GR_FRAC_ROOF: fraction of green roof over the roof (0:1) +# (sf_urban_physics=3) +# + +GR_FRAC_ROOF:0,0,0,0,0,0,0,0,0,0,0 + +# +# HSEQUIP: Diurnal profile of sprinkler irrigation for the green roof +# (sf_urban_physics=3) +# + +IRHO:0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 + + +# +# PV_FRAC_ROOF: fraction of photovoltaic panels over the roof (0:1) +# (sf_urban_physics=3) +# + +PV_FRAC_ROOF: 0,0,0,0,0,0,0,0,0,0,0 + + +STREET PARAMETERS: + +# (sf_urban_physics=2,3) + +# urban street street building +# category direction width width +# [index] [deg from N] [m] [m] + + 1 0.0 15. 12. + 1 90.0 15. 12. + 2 0.0 10. 20. + 2 90.0 10. 20. + 3 0.0 5.7 9. + 3 90.0 5.7 9. + 4 0.0 30.0 20. + 4 90.0 30.0 20. + 5 0.0 20.0 20. + 5 90.0 20.0 20. + 6 0.0 12.4 10.5 + 6 90.0 12.4 10.5 + 7 0.0 10. 20. + 7 90.0 10. 20. + 8 0.0 32.5 28.8 + 8 90.0 32.5 28.8 + 9 0.0 10. 10. + 9 90.0 10. 10. + 10 0.0 28.5 23.8 + 10 90.0 28.5 23.8 + 11 0.0 100. 5. + 11 90.0 100. 5. + +END STREET PARAMETERS + +BUILDING HEIGHTS: 1 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 21.0 100.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 2 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 9.0 25.0 + 15.0 45.0 + 18.0 20.0 + 21.0 10.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 3 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 6.0 55.0 + 9.0 45.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 4 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 24.0 100.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 5 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 9.0 10.0 + 15.0 25.0 + 21.0 40.0 + 24.0 25.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 6 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 6.0 30.0 + 9.0 40.0 + 15.0 30.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 7 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 100.0 + 9.0 0.0 + 15.0 0.0 + 21.0 0.0 + 24.0 0.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 8 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 6.0 35.0 + 9.0 65.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 9 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 6.0 75.0 + 9.0 25.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 10 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 3.0 10.0 + 9.0 60.0 + 15.0 30.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 11 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 6.0 100.0 + +END BUILDING HEIGHTS + + diff --git a/urban/wrf/URBPARM_UZE.TBL b/urban/wrf/URBPARM_UZE.TBL new file mode 100644 index 0000000..e1ea264 --- /dev/null +++ b/urban/wrf/URBPARM_UZE.TBL @@ -0,0 +1,415 @@ +# The parameters in this table may vary greatly from city to city. +# The default values are probably not appropriate for any given city. +# Users should adapt these values based on the city they are working +# with. + +# Urban Parameters depending on Urban type +# USGS + +Number of urban categories: 3 + +# +# Where there are multiple columns of values, the values refer, in +# order, to: 1) UZE High-density urban zone, 2) UZE medium-density +# urban zone, and 3) UZE Low-density urban zone: I.e.: +# +# Index: 1 2 3 +# UZE Urban Zone: Low Dens, Med Dens, High Dens +# + +# +# ZR: Roof level (building height) [ m ] +# (sf_urban_physics=1) + +ZR: 6.0, 15.0, 18.0 + +# +# SIGMA_ZED: Standard Deviation of roof height [ m ] +# (sf_urban_physics=1) + +SIGMA_ZED: 1.0, 1.5, 3.0 + +# +# ROOF_WIDTH: Roof (i.e., building) width [ m ] +# (sf_urban_physics=1) + +ROOF_WIDTH: 8.0, 20.0, 22.0 + +# +# ROAD_WIDTH: road width [ m ] +# (sf_urban_physics=1) +# + +ROAD_WIDTH: 15.0, 10.0, 8.0 + +# +# AH: Anthropogenic heat [ W m{-2} ] +# (sf_urban_physics=1) +# + +AH: 20.0, 50.0, 90.0 + +# +# FRC_URB: Fraction of the urban landscape which does not have natural +# vegetation. [ Fraction ] +# (sf_urban_physics=1,2,3) +# + +FRC_URB: 0.5, 0.6, 0.75 + +# +# CAPR: Heat capacity of roof [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPR: 1.0E6, 1.2E6, 1.5E6, + +# +# CAPB: Heat capacity of building wall [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPB: 1.2E6, 1.2E6, 1.4E6, + +# +# CAPG: Heat capacity of ground (road) [ J m{-3} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +CAPG: 1.5E6, 1.5E6, 1.5E6, + +# +# AKSR: Thermal conductivity of roof [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSR: 0.4, 0.4, 0.8, + +# +# AKSB: Thermal conductivity of building wall [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSB: 1.0, 1.0, 1.0, + +# +# AKSG: Thermal conductivity of ground (road) [ J m{-1} s{-1} K{-1} ] +# (sf_urban_physics=1,2,3) +# + +AKSG: 0.8, 0.8, 0.8, + +# +# ALBR: Surface albedo of roof [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBR: 0.15, 0.10, 0.10 + +# +# ALBB: Surface albedo of building wall [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBB: 0.10, 0.10, 0.10 + +# +# ALBG: Surface albedo of ground (road) [ fraction ] +# (sf_urban_physics=1,2,3) +# + +ALBG: 0.15, 0.15, 0.15 + +# +# EPSR: Surface emissivity of roof [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSR: 0.85, 0.85, 0.85 + +# +# EPSB: Surface emissivity of building wall [-] +# (sf_urban_physics=1,2,3) +# + +EPSB: 0.90, 0.90, 0.90 + +# +# EPSG: Surface emissivity of ground (road) [ - ] +# (sf_urban_physics=1,2,3) +# + +EPSG: 0.95, 0.95, 0.95 + +# +# Z0B: Roughness length for momentum, over building wall [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1) +# + +Z0B: 0.0001, 0.0001, 0.0001 + +# +# Z0G: Roughness length for momentum, over ground (road) [ m ] +# Only active for CH_SCHEME == 1 +# (sf_urban_physics=1,2,3) +# + +Z0G: 0.01, 0.01, 0.01 + +# +# Z0R: Roughness length for momentum over roof [ m ] +# (sf_urban_physics=2,3) +# + +Z0R: 0.01, 0.01, 0.01 + +# +# AKANDA_URBAN: Coefficient modifying the Kanda approach to computing +# surface layer exchange coefficients. +# (sf_urban_physics=1) + +AKANDA_URBAN: 1.29 1.29 1.29 + +# +# COP: Coefficient of performance of the A/C systems [ - ] +# (sf_urban_physics=3) +# + +COP: 3.5, 3.5, 3.5 + +# +# PWIN: Coverage area fraction of windows in the walls of the building [ - ] +# (sf_urban_physics=3) +# + +PWIN: 0.2, 0.2, 0.2 + +# +# BETA: Thermal efficiency of heat exchanger +# (sf_urban_physics=3) +# + +BETA: 0.75, 0.75, 0.75 + +# +# SW_COND: Air conditioning switch, 1=ON +# (sf_urban_physics=3) +# + +SW_COND: 1, 1, 1 + +# +# TIME_ON: Initial local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_ON: 0., 0., 0. + +# +# TIME_OFF: End local time of A/C systems, [ h ] +# (sf_urban_physics=3) +# + +TIME_OFF: 24., 24., 24. + +# +# TARGTEMP: Target Temperature of the A/C systems, [ K ] +# (sf_urban_physics=3) +# + +TARGTEMP: 298., 298., 297. + +# +# GAPTEMP: Comfort Range of the indoor Temperature, [ K ] +# (sf_urban_physics=3) +# + +GAPTEMP: 0.5, 0.5, 0.5 + +# +# TARGHUM: Target humidity of the A/C systems, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +TARGHUM: 0.005, 0.005, 0.005 + +# +# GAPHUM: Comfort Range of the specific humidity, [ Kg/Kg ] +# (sf_urban_physics=3) +# + +GAPHUM: 0.005, 0.005, 0.005 + +# +# PERFLO: Peak number of occupants per unit floor area, [ person/m^2 ] +# (sf_urban_physics=3) +# + +PERFLO: 0.01, 0.01, 0.02 + +# +# HSEQUIP: Diurnal heating profile of heat generated by equipments +# (sf_urban_physics=3) +# + +HSEQUIP: 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.25 0.25 0.25 0.25 0.25 + +# +# HSEQUIP_SCALE_FACTOR: Peak heat generated by equipments, [ W/m^2 ] +# (sf_urban_physics=3) +# + +HSEQUIP_SCALE_FACTOR: 16.00, 20.00, 36.00 + +STREET PARAMETERS: +# (sf_urban_physics=2,3) + +# urban street street building +# category direction width width +# [index] [deg from N] [m] [m] + + 1 0.0 30. 13. + 1 90.0 30. 13. + 2 0.0 25. 17. + 2 90.0 25. 17. + 3 0.0 20. 20. + 3 90.0 20. 20. + +END STREET PARAMETERS + +BUILDING HEIGHTS: 1 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 15.0 + 10.0 70.0 + 15.0 15.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 2 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 0.0 + 10.0 20.0 + 15.0 60.0 + 20.0 20.0 +END BUILDING HEIGHTS + +BUILDING HEIGHTS: 3 +# (sf_urban_physics=2,3) + +# height Percentage +# [m] [%] + 5.0 0.0 + 10.0 0.0 + 15.0 10.0 + 20.0 25.0 + 25.0 40.0 + 30.0 25.0 + 35.0 0.0 +END BUILDING HEIGHTS +# +# DDZR: Thickness of each roof layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) + + +DDZR: 0.05, 0.05, 0.05, 0.05 + +# +# DDZB: Thickness of each building wall layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZB: 0.05, 0.05, 0.05, 0.05 + +# +# DDZG: Thickness of each ground (road) layer [ m ] +# This is currently NOT a function urban type, but a function +# of the number of layers. Number of layers must be 4, for now. +# (sf_urban_physics=1) +# + +DDZG: 0.05, 0.25, 0.50, 0.75 + +# +# BOUNDR: Lower boundary condition for roof layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDR: 1 + +# +# BOUNDB: Lower boundary condition for wall layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDB: 1 + +# +# BOUNDG: Lower boundary condition for ground (road) layer temperature [ 1: Zero-Flux, 2: T = Constant ] +# (sf_urban_physics=1) +# + +BOUNDG: 1 + +# +# TRLEND: Lower boundary condition for roof temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TRLEND: 293.00, 293.00, 293.00 + +# +# TBLEND: Lower boundary temperature for building wall temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TBLEND: 293.00, 293.00, 293.00 + +# +# TGLEND: Lower boundary temperature for ground (road) temperature [ K ] +# (sf_urban_physics=1,2,3) +# + +TGLEND: 293.00, 293.00, 293.00 + +# +# Ch of Wall and Road [ 1: M-O Similarity Theory, 2: Empirical Form of Narita et al., 1997 (recommended) ] +# (sf_urban_physics=1) +# + +CH_SCHEME: 2 + +# +# Surface and Layer Temperatures [ 1: 4-layer model, 2: Force-Restore method ] +# (sf_urban_physics=1) +# + +TS_SCHEME: 1 + +# +# AHOPTION [ 0: No anthropogenic heating, 1: Anthropogenic heating will be added to sensible heat flux term ] +# (sf_urban_physics=1) +# + +AHOPTION: 0 + +# +# Anthropogenic Heating diurnal profile. +# Multiplication factor applied to AH (as defined in the table above) +# Hourly values ( 24 of them ), starting at 01 hours Local Time. +# For sub-hourly model time steps, value changes on the hour and is +# held constant until the next hour. +# (sf_urban_physics=1) +# +# + +AHDIUPRF: 0.16 0.13 0.08 0.07 0.08 0.26 0.67 0.99 0.89 0.79 0.74 0.73 0.75 0.76 0.82 0.90 1.00 0.95 0.68 0.61 0.53 0.35 0.21 0.18 diff --git a/phys_wrf/module_bep_bem_helper.F b/urban/wrf/module_bep_bem_helper.F similarity index 100% rename from phys_wrf/module_bep_bem_helper.F rename to urban/wrf/module_bep_bem_helper.F diff --git a/phys_wrf/module_sf_bem.F b/urban/wrf/module_sf_bem.F similarity index 100% rename from phys_wrf/module_sf_bem.F rename to urban/wrf/module_sf_bem.F diff --git a/phys_wrf/module_sf_bep.F b/urban/wrf/module_sf_bep.F similarity index 100% rename from phys_wrf/module_sf_bep.F rename to urban/wrf/module_sf_bep.F diff --git a/phys_wrf/module_sf_bep_bem.F b/urban/wrf/module_sf_bep_bem.F similarity index 100% rename from phys_wrf/module_sf_bep_bem.F rename to urban/wrf/module_sf_bep_bem.F diff --git a/phys_wrf/module_sf_urban.F b/urban/wrf/module_sf_urban.F similarity index 99% rename from phys_wrf/module_sf_urban.F rename to urban/wrf/module_sf_urban.F index c03217d..61b9032 100644 --- a/phys_wrf/module_sf_urban.F +++ b/urban/wrf/module_sf_urban.F @@ -1534,7 +1534,7 @@ SUBROUTINE urban(LSOLAR, & ! L CD = 0.4**2./(ALOG(Z/Z0)-PSIM)**2. ! !m CH = 0.4**2./(ALOG(Z/Z0)-PSIM)/(ALOG(Z/Z0H)-PSIH) - CHS = 0.4*UST/(ALOG(Z/Z0H)-PSIH) !cenlin: uncomment to allow CHS2 calc for offline hrldas-urban + CHS = 0.4*UST/(ALOG(Z/Z0H)-PSIH) ! cenlin 03/09/2023: uncomment to allow CHS calc for offline hrldas-urban !m TS = TA + FLXTH/CH/UA ! surface potential temp (flux temp) !m QS = QA + FLXHUM/CH/UA ! surface humidity ! @@ -1558,7 +1558,7 @@ SUBROUTINE urban(LSOLAR, & ! L PSIH2 = 2.*ALOG((1.+X*X)/2.) END IF ! - CHS2 = 0.4*UST/(ALOG(2./Z0H)-PSIH2) !cenlin: uncomment to allow CHS2 calc for offline hrldas-urban + CHS2 = 0.4*UST/(ALOG(2./Z0H)-PSIH2) ! cenlin 03/09/2023: uncomment to allow CHS2 calc for offline hrldas-urban ! XXX10 = (10./Z)*XXX @@ -1947,7 +1947,7 @@ END SUBROUTINE read_param ! !=============================================================================== SUBROUTINE urban_param_init(DZR,DZB,DZG,num_soil_layers, & - sf_urban_physics,use_wudapt_lcz) + sf_urban_physics,use_wudapt_lcz,IRI_URBAN) ! cenlin: added for use in noahmp driver ! num_roof_layers,num_wall_layers,num_road_layers) IMPLICIT NONE @@ -1962,6 +1962,7 @@ SUBROUTINE urban_param_init(DZR,DZB,DZG,num_soil_layers, & REAL, DIMENSION(1:num_soil_layers), INTENT(INOUT) :: DZG INTEGER, INTENT(IN) :: SF_URBAN_PHYSICS INTEGER, INTENT(IN) :: USE_WUDAPT_LCZ !AndreaLCZ + INTEGER, INTENT(INOUT) :: IRI_URBAN ! cenlin added INTEGER :: LC, K INTEGER :: IOSTATUS, ALLOCATE_STATUS @@ -2376,6 +2377,9 @@ SUBROUTINE urban_param_init(DZR,DZB,DZG,num_soil_layers, & CLOSE(11) + ! cenlin: pass IRI_SCHEME value to NoahmpIO variable IRI_URBAN + IRI_URBAN = IRI_SCHEME + ! Assign a few table values that do not need to come from URBPARM.TBL Z0HB_TBL = 0.1 * Z0B_TBL From 2b06d47ad326730cc4b0664dd0bd9066521b5483 Mon Sep 17 00:00:00 2001 From: cenlinhe Date: Fri, 10 Mar 2023 11:17:00 -0700 Subject: [PATCH 30/45] release of version 5.0 --- .gitmodules | 2 +- noahmp | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitmodules b/.gitmodules index 81982ca..3e52658 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,4 +1,4 @@ [submodule "noahmp"] path = noahmp url = https://github.com/NCAR/noahmp - branch = master + branch = develop diff --git a/noahmp b/noahmp index 0336915..55d98cd 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 03369155d7fe367a706312757c796373eaed9884 +Subproject commit 55d98cdcd966d7bb1abf2c85c78a0401ed722310 From 7229073e92c1c1e9d77c623a049fbf9498d7f407 Mon Sep 17 00:00:00 2001 From: Cenlin_He Date: Wed, 17 May 2023 22:07:27 -0600 Subject: [PATCH 31/45] update example single point forcing file with UTC --- .../run/examples/single_point/bondville.dat | 34995 ++++++++-------- 1 file changed, 17473 insertions(+), 17522 deletions(-) diff --git a/hrldas/HRLDAS_forcing/run/examples/single_point/bondville.dat b/hrldas/HRLDAS_forcing/run/examples/single_point/bondville.dat index 04a5fcc..c6d71e2 100644 --- a/hrldas/HRLDAS_forcing/run/examples/single_point/bondville.dat +++ b/hrldas/HRLDAS_forcing/run/examples/single_point/bondville.dat @@ -52,17525 +52,17476 @@ date/time | windspeed | temperature | humidity | pressure | shortwave | longwave | precipitation yyyy mm dd hh mi | m s{-1} | C | % | mb | W m{-2} | W m{-2} | Inches/timestep ---------------------------------------------------------------------------------------------------------------------- -1998 01 01 00 00 5.63 -9.2 86.1 1002. 0. 281. 0.00 -1998 01 01 00 30 5.63 -9.2 86.1 1002. 0. 281. 0.00 -1998 01 01 01 00 6.74 -8.4 84.7 1001. 0. 282. 0.00 -1998 01 01 01 30 6.26 -8.0 84.7 1001. 0. 241. 0.00 -1998 01 01 02 00 6.05 -7.7 84.4 1000. 0. 216. 0.00 -1998 01 01 02 30 5.76 -7.7 83.0 1000. 0. 215. 0.00 -1998 01 01 03 00 6.05 -7.3 81.1 1000. 0. 216. 0.00 -1998 01 01 03 30 6.25 -7.2 81.3 1000. 0. 215. 0.00 -1998 01 01 04 00 6.00 -7.3 83.1 999. 0. 216. 0.00 -1998 01 01 04 30 6.11 -7.0 84.9 999. 0. 217. 0.00 -1998 01 01 05 00 6.08 -6.8 86.1 998. 0. 219. 0.00 -1998 01 01 05 30 6.39 -6.3 86.2 998. 0. 226. 0.00 -1998 01 01 06 00 6.43 -5.8 86.3 998. 0. 240. 0.00 -1998 01 01 06 30 6.87 -5.2 86.3 998. 0. 233. 0.00 -1998 01 01 07 00 7.14 -4.6 85.8 997. 0. 232. 0.00 -1998 01 01 07 30 7.83 -3.9 84.6 997. 10. 236. 0.00 -1998 01 01 08 00 7.87 -3.1 83.6 996. 55. 255. 0.00 -1998 01 01 08 30 7.79 -2.4 82.9 996. 91. 255. 0.00 -1998 01 01 09 00 8.65 -1.5 81.1 996. 130. 257. 0.00 -1998 01 01 09 30 9.72 -0.9 79.5 996. 182. 256. 0.00 -1998 01 01 10 00 8.99 0.0 78.6 996. 303. 253. 0.00 -1998 01 01 10 30 9.11 1.2 76.5 996. 392. 256. 0.00 -1998 01 01 11 00 8.90 1.5 76.8 995. 294. 264. 0.00 -1998 01 01 11 30 8.21 2.2 75.9 995. 361. 264. 0.00 -1998 01 01 12 00 8.57 3.2 74.2 995. 457. 270. 0.00 -1998 01 01 12 30 9.40 4.4 69.1 994. 429. 270. 0.00 -1998 01 01 13 00 8.65 4.9 66.3 994. 315. 271. 0.00 -1998 01 01 13 30 9.06 5.6 64.5 994. 402. 284. 0.00 -1998 01 01 14 00 8.59 5.3 67.1 993. 239. 281. 0.00 -1998 01 01 14 30 9.20 5.0 68.0 993. 115. 263. 0.00 -1998 01 01 15 00 8.87 5.1 68.4 993. 99. 254. 0.00 -1998 01 01 15 30 9.26 5.7 67.4 993. 147. 253. 0.00 -1998 01 01 16 00 8.94 5.2 69.3 993. 89. 252. 0.00 -1998 01 01 16 30 9.33 4.6 71.3 993. 26. 249. 0.00 -1998 01 01 17 00 9.50 4.2 72.6 993. 3. 248. 0.00 -1998 01 01 17 30 9.18 4.0 73.2 993. 0. 248. 0.00 -1998 01 01 18 00 8.86 4.0 73.4 993. 0. 249. 0.00 -1998 01 01 18 30 9.07 3.9 74.5 993. 0. 250. 0.00 -1998 01 01 19 00 9.29 3.9 75.1 993. 0. 250. 0.00 -1998 01 01 19 30 8.63 3.6 76.8 993. 0. 249. 0.00 -1998 01 01 20 00 7.74 3.3 77.9 993. 0. 250. 0.00 -1998 01 01 20 30 6.96 3.0 78.7 994. 0. 250. 0.00 -1998 01 01 21 00 6.39 2.7 80.1 994. 0. 251. 0.00 -1998 01 01 21 30 5.01 2.6 81.1 994. 0. 252. 0.00 -1998 01 01 22 00 4.61 2.4 81.9 994. 0. 251. 0.00 -1998 01 01 22 30 4.41 2.4 82.5 995. 0. 251. 0.00 -1998 01 01 23 00 3.96 2.3 83.7 995. 0. 250. 0.00 -1998 01 01 23 30 4.85 2.3 84.7 995. 0. 251. 0.00 -1998 01 02 00 00 5.23 2.2 85.2 995. 0. 250. 0.00 -1998 01 02 00 30 5.69 2.2 85.8 995. 0. 250. 0.00 -1998 01 02 01 00 5.53 2.2 85.6 995. 0. 251. 0.00 -1998 01 02 01 30 5.32 2.3 84.8 995. 0. 253. 0.00 -1998 01 02 02 00 5.28 2.4 84.2 995. 0. 253. 0.00 -1998 01 02 02 30 5.62 2.7 83.4 995. 0. 254. 0.00 -1998 01 02 03 00 5.77 3.3 81.8 995. 0. 286. 0.00 -1998 01 02 03 30 6.13 3.8 80.5 995. 0. 319. 0.00 -1998 01 02 04 00 6.22 3.8 80.6 995. 0. 316. 0.00 -1998 01 02 04 30 6.46 4.2 79.8 995. 0. 330. 0.00 -1998 01 02 05 00 6.79 4.7 78.0 995. 0. 334. 0.00 -1998 01 02 05 30 6.29 4.8 77.7 995. 0. 335. 0.00 -1998 01 02 06 00 6.61 4.9 77.1 995. 0. 333. 0.00 -1998 01 02 06 30 6.03 4.7 78.5 995. 0. 333. 0.00 -1998 01 02 07 00 5.89 4.3 80.6 995. 0. 335. 0.00 -1998 01 02 07 30 5.84 4.2 81.6 995. 1. 335. 0.00 -1998 01 02 08 00 5.70 4.2 82.5 995. 9. 335. 0.00 -1998 01 02 08 30 5.77 4.5 82.7 995. 22. 337. 0.00 -1998 01 02 09 00 5.90 4.9 83.1 995. 69. 330. 0.00 -1998 01 02 09 30 6.76 5.7 83.1 995. 110. 305. 0.00 -1998 01 02 10 00 6.70 6.4 82.3 995. 209. 304. 0.00 -1998 01 02 10 30 6.56 6.6 82.9 995. 128. 340. 0.00 -1998 01 02 11 00 6.87 7.4 82.7 995. 278. 324. 0.00 -1998 01 02 11 30 8.68 8.9 81.8 995. 256. 287. 0.00 -1998 01 02 12 00 9.82 8.8 84.5 994. 181. 323. 0.00 -1998 01 02 12 30 9.00 9.1 85.4 994. 232. 337. 0.00 -1998 01 02 13 00 8.85 8.8 89.1 993. 163. 341. 0.00 -1998 01 02 13 30 8.33 8.3 94.7 993. 123. 349. 0.00 -1998 01 02 14 00 8.17 8.3 95.0 993. 78. 353. 0.00 -1998 01 02 14 30 7.42 8.2 96.0 993. 47. 352. 0.00 -1998 01 02 15 00 7.56 8.1 97.1 993. 29. 352. 0.00 -1998 01 02 15 30 8.20 8.1 98.8 993. 23. 352. 0.00 -1998 01 02 16 00 7.73 8.0 100.1 993. 16. 352. 0.00 -1998 01 02 16 30 7.30 7.9 100.5 993. 4. 352. 0.00 -1998 01 02 17 00 7.31 8.1 99.6 993. 1. 352. 0.00 -1998 01 02 17 30 7.59 8.1 99.5 993. 0. 352. 0.00 -1998 01 02 18 00 7.81 8.0 99.3 993. 0. 352. 0.00 -1998 01 02 18 30 8.47 8.2 98.0 993. 0. 352. 0.00 -1998 01 02 19 00 7.58 8.2 97.7 993. 0. 352. 0.00 -1998 01 02 19 30 6.79 8.1 98.1 992. 0. 353. 0.00 -1998 01 02 20 00 6.78 8.0 97.5 992. 0. 353. 0.00 -1998 01 02 20 30 7.07 8.0 96.2 992. 0. 353. 0.00 -1998 01 02 21 00 6.48 8.2 94.8 992. 0. 354. 0.00 -1998 01 02 21 30 6.52 8.4 93.7 992. 0. 355. 0.00 -1998 01 02 22 00 6.46 8.4 93.6 992. 0. 354. 0.00 -1998 01 02 22 30 8.44 9.3 91.0 992. 0. 351. 0.00 -1998 01 02 23 00 8.80 9.6 88.6 992. 0. 351. 0.00 -1998 01 02 23 30 9.49 9.9 86.0 991. 0. 356. 0.00 -1998 01 03 00 00 9.36 10.0 85.4 991. 0. 357. 0.00 -1998 01 03 00 30 9.21 9.9 85.9 991. 0. 360. 0.00 -1998 01 03 01 00 9.23 10.0 85.8 991. 0. 359. 0.00 -1998 01 03 01 30 9.23 10.0 86.0 991. 0. 347. 0.00 -1998 01 03 02 00 8.57 10.1 86.4 991. 0. 337. 0.00 -1998 01 03 02 30 9.17 10.4 85.8 991. 0. 344. 0.00 -1998 01 03 03 00 9.60 10.7 84.9 991. 0. 355. 0.00 -1998 01 03 03 30 9.56 10.8 84.6 991. 0. 355. 0.00 -1998 01 03 04 00 9.49 10.8 85.1 991. 0. 356. 0.00 -1998 01 03 04 30 9.82 11.0 85.4 991. 0. 355. 0.00 -1998 01 03 05 00 10.06 11.1 85.7 991. 0. 354. 0.00 -1998 01 03 05 30 9.91 11.3 86.1 991. 0. 350. 0.00 -1998 01 03 06 00 8.31 11.1 87.8 991. 0. 346. 0.00 -1998 01 03 06 30 7.62 10.5 90.4 991. 0. 341. 0.00 -1998 01 03 07 00 6.88 10.2 92.6 991. 0. 349. 0.00 -1998 01 03 07 30 6.38 10.0 94.1 991. 2. 349. 0.00 -1998 01 03 08 00 6.06 10.3 93.9 991. 10. 349. 0.00 -1998 01 03 08 30 7.31 11.1 92.0 992. 31. 351. 0.00 -1998 01 03 09 00 8.70 11.7 91.0 992. 35. 356. 0.00 -1998 01 03 09 30 9.03 11.7 91.7 992. 39. 359. 0.00 -1998 01 03 10 00 9.01 11.8 92.2 993. 38. 360. 0.00 -1998 01 03 10 30 8.86 11.9 92.8 993. 61. 360. 0.00 -1998 01 03 11 00 8.90 12.0 93.2 993. 67. 360. 0.00 -1998 01 03 11 30 9.33 12.1 94.0 992. 48. 363. 0.00 -1998 01 03 12 00 8.73 12.2 94.9 992. 64. 362. 0.00 -1998 01 03 12 30 8.06 12.4 95.0 992. 92. 363. 0.00 -1998 01 03 13 00 7.75 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5.99 13.3 92.9 982. 105. 354. 0.00 -1998 04 15 09 30 7.07 13.8 93.3 982. 64. 363. 0.00 -1998 04 15 10 00 10.09 13.5 96.5 980. 175. 355. 0.01 -1998 04 15 10 30 11.85 14.3 94.6 978. 457. 337. 0.00 -1998 04 15 11 00 10.24 16.2 85.8 978. 816. 320. 0.01 -1998 04 15 11 30 11.07 17.4 81.6 978. 763. 343. 0.00 -1998 04 15 12 00 10.01 18.0 80.2 979. 572. 354. 0.00 -1998 04 15 12 30 8.88 18.1 81.0 979. 382. 359. 0.00 -1998 04 15 13 00 10.61 17.8 79.8 978. 523. 347. 0.00 -1998 04 15 13 30 9.95 17.6 81.2 978. 565. 342. 0.00 -1998 04 15 14 00 8.74 17.8 82.2 978. 633. 335. 0.00 -1998 04 15 14 30 7.02 18.1 81.0 978. 642. 328. 0.00 -1998 04 15 15 00 6.50 18.1 82.6 978. 564. 329. 0.00 -1998 04 15 15 30 6.14 17.9 86.4 978. 308. 352. 0.00 -1998 04 15 16 00 5.57 18.4 85.6 977. 222. 356. 0.00 -1998 04 15 16 30 5.82 18.5 86.1 977. 227. 355. 0.00 -1998 04 15 17 00 5.75 18.2 89.2 977. 178. 348. 0.00 -1998 04 15 17 30 5.64 17.6 92.3 976. 90. 352. 0.00 -1998 04 15 18 00 5.32 16.9 95.1 976. 56. 363. 0.00 -1998 04 15 18 30 5.25 16.3 97.3 975. 12. 349. 0.00 -1998 04 15 19 00 4.47 16.1 99.0 975. 0. 370. 0.00 -1998 04 15 19 30 5.35 16.1 100.0 976. 0. 368. 0.00 -1998 04 15 20 00 6.17 16.2 99.7 975. 0. 366. 0.00 -1998 04 15 20 30 4.65 16.5 96.6 975. 0. 367. 0.00 -1998 04 15 21 00 5.16 17.6 75.8 975. 0. 372. 0.00 -1998 04 15 21 30 5.01 16.4 75.4 975. 0. 372. 0.00 -1998 04 15 22 00 3.58 14.4 88.6 974. 0. 322. 0.00 -1998 04 15 22 30 3.29 13.7 93.5 974. 0. 331. 0.00 -1998 04 15 23 00 3.09 13.5 94.5 974. 0. 352. 0.00 -1998 04 15 23 30 2.51 13.8 91.6 974. 0. 353. 0.00 -1998 04 16 00 00 3.49 13.9 90.6 975. 0. 358. 0.00 -1998 04 16 00 30 2.00 13.4 95.6 975. 0. 365. 0.00 -1998 04 16 01 00 1.49 13.3 97.5 975. 0. 374. 0.02 -1998 04 16 01 30 3.21 13.3 98.6 975. 0. 365. 0.03 -1998 04 16 02 00 6.80 13.1 99.0 973. 0. 351. 0.00 -1998 04 16 02 30 3.08 13.0 99.6 974. 0. 353. 0.00 -1998 04 16 03 00 3.50 13.1 99.9 974. 0. 363. 0.00 -1998 04 16 03 30 2.06 12.9 100.2 973. 0. 347. 0.00 -1998 04 16 04 00 2.38 12.5 101.7 973. 0. 316. 0.00 -1998 04 16 04 30 2.75 12.3 102.0 973. 0. 327. 0.00 -1998 04 16 05 00 3.05 12.4 102.3 974. 0. 375. 0.00 -1998 04 16 05 30 5.15 13.2 102.7 974. 1. 382. 0.00 -1998 04 16 06 00 5.81 13.6 103.1 974. 7. 382. 0.00 -1998 04 16 06 30 6.39 13.5 103.2 975. 18. 378. 0.00 -1998 04 16 07 00 7.62 12.7 101.4 975. 28. 370. 0.00 -1998 04 16 07 30 6.77 11.6 103.2 976. 61. 367. 0.00 -1998 04 16 08 00 7.80 11.2 101.4 976. 50. 364. 0.00 -1998 04 16 08 30 7.91 10.5 97.6 977. 113. 350. 0.00 -1998 04 16 09 00 6.89 10.9 91.2 977. 329. 322. 0.00 -1998 04 16 09 30 7.21 12.1 85.7 977. 573. 324. 0.00 -1998 04 16 10 00 7.19 12.2 85.5 977. 379. 348. 0.01 -1998 04 16 10 30 6.83 12.1 85.5 978. 380. 326. 0.00 -1998 04 16 11 00 7.47 12.3 82.9 978. 550. 350. 0.00 -1998 04 16 11 30 7.50 12.6 79.9 978. 493. 349. 0.00 -1998 04 16 12 00 7.17 12.7 79.0 978. 526. 359. 0.00 -1998 04 16 12 30 6.57 12.2 81.3 978. 253. 357. 0.00 -1998 04 16 13 00 6.71 11.7 84.1 979. 131. 359. 0.00 -1998 04 16 13 30 6.50 11.4 86.4 979. 181. 359. 0.00 -1998 04 16 14 00 6.23 11.2 88.0 979. 108. 360. 0.00 -1998 04 16 14 30 6.78 11.1 89.0 979. 112. 359. 0.00 -1998 04 16 15 00 5.94 11.1 88.9 979. 103. 360. 0.00 -1998 04 16 15 30 5.98 11.4 88.6 979. 89. 360. 0.00 -1998 04 16 16 00 6.88 9.6 96.6 980. 21. 355. 0.00 -1998 04 16 16 30 7.15 8.6 99.8 980. 27. 352. 0.00 -1998 04 16 17 00 7.62 7.8 98.7 981. 45. 347. 0.00 -1998 04 16 17 30 7.99 7.5 94.5 981. 19. 343. 0.00 -1998 04 16 18 00 7.58 6.9 92.5 982. 11. 340. 0.00 -1998 04 16 18 30 7.25 6.7 90.7 982. 3. 338. 0.00 -1998 04 16 19 00 7.40 6.3 89.5 983. 0. 336. 0.00 -1998 04 16 19 30 7.23 6.0 89.9 983. 0. 335. 0.00 -1998 04 16 20 00 7.29 5.8 90.4 984. 0. 333. 0.00 -1998 04 16 20 30 6.24 5.6 89.4 985. 0. 332. 0.00 -1998 04 16 21 00 6.42 5.5 88.5 985. 0. 329. 0.00 -1998 04 16 21 30 7.68 5.5 84.6 985. 0. 327. 0.00 -1998 04 16 22 00 6.22 5.5 86.0 985. 0. 327. 0.00 -1998 04 16 22 30 6.21 5.5 87.3 985. 0. 330. 0.00 -1998 04 16 23 00 5.73 5.6 87.0 986. 0. 331. 0.00 -1998 04 16 23 30 5.17 5.7 87.5 986. 0. 329. 0.00 -1998 04 17 00 00 5.73 5.6 86.7 986. 0. 272. 0.00 -1998 04 17 00 30 4.09 4.7 88.0 987. 0. 256. 0.00 -1998 04 17 01 00 3.78 4.2 91.1 987. 0. 252. 0.00 -1998 04 17 01 30 2.48 3.7 94.1 987. 0. 243. 0.00 -1998 04 17 02 00 2.31 3.2 97.7 988. 0. 241. 0.00 -1998 04 17 02 30 2.13 2.8 99.8 988. 0. 239. 0.00 -1998 04 17 03 00 2.12 2.5 101.0 988. 0. 238. 0.00 -1998 04 17 03 30 2.14 2.0 101.8 988. 0. 237. 0.00 -1998 04 17 04 00 1.79 1.6 102.2 989. 0. 237. 0.00 -1998 04 17 04 30 1.80 1.5 102.5 989. 0. 236. 0.00 -1998 04 17 05 00 1.11 1.3 102.7 989. 0. 236. 0.00 -1998 04 17 05 30 1.18 1.3 102.8 990. 7. 236. 0.00 -1998 04 17 06 00 1.35 1.2 102.7 990. 62. 237. 0.00 -1998 04 17 06 30 1.64 2.1 102.3 991. 148. 240. 0.00 -1998 04 17 07 00 2.26 3.3 99.2 991. 235. 243. 0.00 -1998 04 17 07 30 3.03 4.7 91.5 991. 327. 245. 0.00 -1998 04 17 08 00 2.98 5.9 83.0 992. 422. 249. 0.00 -1998 04 17 08 30 2.46 7.0 73.8 992. 514. 251. 0.00 -1998 04 17 09 00 2.77 7.9 68.9 993. 599. 255. 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2.28 8.6 100.0 992. 4. 314. 0.00 -1998 04 22 06 00 1.78 8.3 100.0 992. 15. 306. 0.00 -1998 04 22 06 30 2.23 8.5 100.0 992. 35. 324. 0.00 -1998 04 22 07 00 3.74 9.0 100.0 992. 52. 338. 0.00 -1998 04 22 07 30 4.75 9.5 99.4 992. 128. 344. 0.00 -1998 04 22 08 00 5.05 10.4 95.1 992. 298. 339. 0.00 -1998 04 22 08 30 5.07 10.5 92.4 993. 204. 343. 0.00 -1998 04 22 09 00 5.55 10.6 91.7 993. 175. 345. 0.00 -1998 04 22 09 30 5.25 11.0 90.1 993. 276. 342. 0.00 -1998 04 22 10 00 5.36 11.3 88.2 993. 232. 347. 0.00 -1998 04 22 10 30 3.04 11.6 86.4 993. 378. 338. 0.00 -1998 04 22 11 00 4.27 12.0 85.3 993. 231. 352. 0.00 -1998 04 22 11 30 5.47 12.0 81.5 993. 135. 353. 0.00 -1998 04 22 12 00 6.15 11.8 82.7 993. 160. 353. 0.00 -1998 04 22 12 30 7.09 12.1 81.7 992. 234. 354. 0.00 -1998 04 22 13 00 7.51 12.4 80.4 992. 292. 352. 0.00 -1998 04 22 13 30 7.02 13.4 76.6 992. 458. 351. 0.00 -1998 04 22 14 00 7.01 13.4 77.8 992. 367. 343. 0.00 -1998 04 22 14 30 6.75 14.2 72.9 992. 467. 331. 0.00 -1998 04 22 15 00 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04 26 15 30 7.18 24.9 37.3 984. 455. 355. 0.00 -1998 04 26 16 00 5.52 24.7 39.3 984. 369. 366. 0.00 -1998 04 26 16 30 6.79 24.5 38.8 985. 305. 347. 0.00 -1998 04 26 17 00 8.05 23.6 48.8 985. 306. 339. 0.00 -1998 04 26 17 30 7.76 22.6 53.9 986. 197. 334. 0.00 -1998 04 26 18 00 6.01 20.9 61.6 986. 103. 328. 0.00 -1998 04 26 18 30 10.05 15.5 80.4 987. 36. 311. 0.00 -1998 04 26 19 00 10.92 13.1 87.2 987. 4. 304. 0.00 -1998 04 26 19 30 11.37 11.7 90.0 988. 0. 326. 0.00 -1998 04 26 20 00 11.57 11.1 89.3 989. 0. 336. 0.00 -1998 04 26 20 30 11.86 10.6 88.3 990. 0. 343. 0.00 -1998 04 26 21 00 11.00 10.2 87.8 991. 0. 350. 0.00 -1998 04 26 21 30 11.15 10.0 87.3 991. 0. 354. 0.00 -1998 04 26 22 00 10.81 9.8 85.1 992. 0. 353. 0.00 -1998 04 26 22 30 11.19 9.6 83.2 992. 0. 350. 0.00 -1998 04 26 23 00 10.71 9.4 84.5 992. 0. 339. 0.00 -1998 04 26 23 30 11.06 8.8 86.1 992. 0. 336. 0.00 -1998 04 27 00 00 11.84 8.3 82.9 993. 0. 352. 0.00 -1998 04 27 00 30 11.71 8.1 71.1 993. 0. 349. 0.00 -1998 04 27 01 00 11.96 8.2 63.3 993. 0. 344. 0.00 -1998 04 27 01 30 10.87 8.3 64.4 993. 0. 348. 0.00 -1998 04 27 02 00 11.50 8.2 65.8 993. 0. 341. 0.00 -1998 04 27 02 30 10.99 8.1 67.4 993. 0. 325. 0.00 -1998 04 27 03 00 9.86 7.8 71.3 994. 0. 275. 0.00 -1998 04 27 03 30 9.40 7.3 74.0 994. 0. 265. 0.00 -1998 04 27 04 00 8.90 6.7 77.8 995. 0. 261. 0.00 -1998 04 27 04 30 8.02 6.1 79.6 995. 0. 258. 0.00 -1998 04 27 05 00 7.85 5.8 71.4 995. 1. 255. 0.00 -1998 04 27 05 30 8.04 5.5 69.1 996. 27. 254. 0.00 -1998 04 27 06 00 9.34 5.8 63.5 996. 91. 251. 0.00 -1998 04 27 06 30 11.38 6.1 59.4 996. 163. 255. 0.00 -1998 04 27 07 00 12.71 6.4 54.8 995. 208. 258. 0.00 -1998 04 27 07 30 12.41 6.7 52.1 996. 266. 261. 0.00 -1998 04 27 08 00 11.04 7.3 49.8 996. 323. 268. 0.00 -1998 04 27 08 30 10.23 8.0 49.1 997. 377. 271. 0.00 -1998 04 27 09 00 9.28 8.9 47.9 998. 489. 273. 0.00 -1998 04 27 09 30 9.30 9.6 44.6 998. 541. 277. 0.00 -1998 04 27 10 00 9.03 10.4 42.8 998. 598. 279. 0.00 -1998 04 27 10 30 9.47 11.2 40.4 998. 683. 281. 0.00 -1998 04 27 11 00 10.16 11.9 36.8 998. 619. 285. 0.00 -1998 04 27 11 30 10.94 12.2 38.0 998. 663. 289. 0.00 -1998 04 27 12 00 11.05 12.6 39.9 998. 710. 292. 0.00 -1998 04 27 12 30 10.71 13.0 38.3 997. 657. 292. 0.00 -1998 04 27 13 00 10.04 13.8 36.9 997. 781. 298. 0.00 -1998 04 27 13 30 9.34 14.0 34.2 998. 587. 298. 0.00 -1998 04 27 14 00 8.47 14.2 34.2 998. 492. 305. 0.00 -1998 04 27 14 30 9.65 14.6 33.1 998. 524. 307. 0.00 -1998 04 27 15 00 9.46 14.3 34.0 997. 381. 309. 0.00 -1998 04 27 15 30 9.29 14.3 35.5 997. 315. 313. 0.00 -1998 04 27 16 00 9.99 14.3 36.8 996. 287. 312. 0.00 -1998 04 27 16 30 10.87 14.0 38.6 996. 222. 310. 0.00 -1998 04 27 17 00 10.28 13.5 40.0 997. 161. 304. 0.00 -1998 04 27 17 30 7.96 13.2 41.6 998. 117. 302. 0.00 -1998 04 27 18 00 9.37 12.8 42.9 998. 64. 299. 0.00 -1998 04 27 18 30 7.70 12.2 46.7 998. 21. 292. 0.00 -1998 04 27 19 00 8.98 11.5 50.3 998. 4. 278. 0.00 -1998 04 27 19 30 8.24 10.7 54.1 998. 0. 267. 0.00 -1998 04 27 20 00 7.76 10.1 57.2 998. 0. 268. 0.00 -1998 04 27 20 30 7.26 9.5 61.3 998. 0. 281. 0.00 -1998 04 27 21 00 5.62 9.4 61.0 999. 0. 258. 0.00 -1998 04 27 21 30 5.75 8.8 63.2 999. 0. 254. 0.00 -1998 04 27 22 00 6.87 8.5 63.5 999. 0. 250. 0.00 -1998 04 27 22 30 6.11 8.2 62.7 1000. 0. 249. 0.00 -1998 04 27 23 00 4.68 7.2 66.0 1000. 0. 248. 0.00 -1998 04 27 23 30 4.01 6.6 67.7 1000. 0. 256. 0.00 -1998 04 28 00 00 3.74 6.5 66.5 1000. 0. 270. 0.00 -1998 04 28 00 30 5.40 6.7 64.0 1000. 0. 275. 0.00 -1998 04 28 01 00 5.67 6.6 65.8 1000. 0. 279. 0.00 -1998 04 28 01 30 6.16 6.5 67.4 999. 0. 287. 0.00 -1998 04 28 02 00 6.31 6.5 68.0 999. 0. 287. 0.00 -1998 04 28 02 30 6.60 6.8 66.9 999. 0. 278. 0.00 -1998 04 28 03 00 6.15 6.7 67.1 999. 0. 283. 0.00 -1998 04 28 03 30 6.23 6.5 68.4 999. 0. 280. 0.00 -1998 04 28 04 00 5.81 6.4 69.0 999. 0. 284. 0.00 -1998 04 28 04 30 6.16 6.3 69.9 999. 0. 286. 0.00 -1998 04 28 05 00 6.14 6.3 69.9 999. 1. 288. 0.00 -1998 04 28 05 30 5.34 6.2 69.5 999. 12. 286. 0.00 -1998 04 28 06 00 5.94 6.5 67.3 999. 40. 288. 0.00 -1998 04 28 06 30 5.73 6.7 66.4 1000. 68. 290. 0.00 -1998 04 28 07 00 6.33 7.1 65.2 999. 96. 295. 0.00 -1998 04 28 07 30 6.86 7.8 63.4 1000. 152. 299. 0.00 -1998 04 28 08 00 7.21 8.7 60.2 1000. 213. 298. 0.00 -1998 04 28 08 30 7.65 9.6 56.5 999. 221. 300. 0.00 -1998 04 28 09 00 8.02 10.0 54.4 999. 225. 305. 0.00 -1998 04 28 09 30 7.79 10.6 52.3 1000. 313. 304. 0.00 -1998 04 28 10 00 7.83 11.7 48.7 1000. 627. 287. 0.00 -1998 04 28 10 30 7.60 12.7 46.1 1000. 726. 290. 0.00 -1998 04 28 11 00 7.93 13.4 42.8 1000. 517. 327. 0.00 -1998 04 28 11 30 7.74 14.3 40.2 999. 528. 343. 0.00 -1998 04 28 12 00 8.52 14.7 38.2 999. 358. 342. 0.00 -1998 04 28 12 30 8.59 14.6 38.0 998. 233. 356. 0.00 -1998 04 28 13 00 8.22 14.3 39.0 998. 135. 359. 0.00 -1998 04 28 13 30 7.91 14.2 39.8 998. 178. 361. 0.00 -1998 04 28 14 00 7.41 14.4 40.6 998. 142. 361. 0.00 -1998 04 28 14 30 6.61 14.1 46.3 998. 100. 359. 0.00 -1998 04 28 15 00 6.07 13.6 52.8 998. 152. 362. 0.00 -1998 04 28 15 30 6.68 12.1 65.1 997. 159. 364. 0.00 -1998 04 28 16 00 6.25 11.7 68.3 997. 99. 363. 0.00 -1998 04 28 16 30 7.05 11.0 75.0 997. 49. 363. 0.00 -1998 04 28 17 00 7.10 10.9 77.8 996. 33. 362. 0.01 -1998 04 28 17 30 5.97 10.7 81.8 996. 36. 363. 0.01 -1998 04 28 18 00 7.16 10.9 81.5 996. 27. 362. 0.00 -1998 04 28 18 30 7.49 10.6 83.0 995. 11. 358. 0.00 -1998 04 28 19 00 6.93 10.6 83.9 995. 1. 360. 0.00 -1998 04 28 19 30 6.29 10.8 83.8 995. 0. 364. 0.00 -1998 04 28 20 00 5.38 10.8 85.3 995. 0. 367. 0.00 -1998 04 28 20 30 5.14 10.9 85.2 995. 0. 368. 0.01 -1998 04 28 21 00 4.40 10.2 91.6 995. 0. 363. 0.07 -1998 04 28 21 30 5.11 9.9 95.9 995. 0. 363. 0.02 -1998 04 28 22 00 5.28 9.9 96.5 995. 0. 366. 0.00 -1998 04 28 22 30 5.94 10.2 94.2 995. 0. 368. 0.00 -1998 04 28 23 00 5.55 10.3 94.9 995. 0. 366. 0.00 -1998 04 28 23 30 5.25 10.1 98.6 995. 0. 365. 0.17 -1998 04 29 00 00 4.68 9.9 100.0 995. 0. 365. 0.03 -1998 04 29 00 30 2.27 10.0 100.0 995. 0. 361. 0.04 -1998 04 29 01 00 3.58 9.9 100.0 994. 0. 363. 0.06 -1998 04 29 01 30 4.17 9.8 100.0 994. 0. 359. 0.03 -1998 04 29 02 00 4.13 9.8 100.0 993. 0. 355. 0.04 -1998 04 29 02 30 3.62 10.0 100.0 993. 0. 363. 0.00 -1998 04 29 03 00 3.50 10.3 100.0 993. 0. 368. 0.00 -1998 04 29 03 30 3.82 10.6 100.0 993. 0. 372. 0.01 -1998 04 29 04 00 3.26 10.8 100.0 993. 0. 369. 0.00 -1998 04 29 04 30 3.83 10.8 100.0 993. 0. 371. 0.10 -1998 04 29 05 00 4.12 11.0 100.0 993. 0. 372. 0.00 -1998 04 29 05 30 3.91 11.1 100.0 993. 2. 374. 0.00 -1998 04 29 06 00 3.61 11.1 100.0 993. 9. 375. 0.00 -1998 04 29 06 30 3.96 11.2 100.0 994. 29. 375. 0.00 -1998 04 29 07 00 4.04 11.5 100.0 994. 26. 375. 0.00 -1998 04 29 07 30 3.74 11.6 100.0 994. 38. 378. 0.00 -1998 04 29 08 00 3.64 12.2 100.0 994. 103. 379. 0.00 -1998 04 29 08 30 4.35 12.8 100.0 994. 172. 374. 0.00 -1998 04 29 09 00 4.43 13.8 100.0 993. 245. 382. 0.00 -1998 04 29 09 30 4.09 14.2 100.0 994. 192. 385. 0.00 -1998 04 29 10 00 3.82 15.1 99.3 994. 285. 387. 0.00 -1998 04 29 10 30 3.85 16.0 97.3 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991. 0. 389. 0.00 -1998 04 29 20 30 4.23 15.0 100.0 991. 0. 389. 0.00 -1998 04 29 21 00 2.98 14.9 100.0 992. 0. 389. 0.00 -1998 04 29 21 30 2.05 14.7 100.0 992. 0. 389. 0.00 -1998 04 29 22 00 2.22 14.6 100.0 992. 0. 390. 0.00 -1998 04 29 22 30 2.12 14.5 100.0 991. 0. 390. 0.01 -1998 04 29 23 00 2.83 14.4 100.0 991. 0. 389. 0.01 -1998 04 29 23 30 3.49 14.3 100.0 990. 0. 389. 0.00 -1998 04 30 00 00 4.88 12.9 100.0 990. 0. 380. 0.22 -1998 04 30 00 30 3.62 12.7 100.0 991. 0. 378. 0.12 -1998 04 30 01 00 3.47 12.7 100.0 990. 0. 377. 0.14 -1998 04 30 01 30 2.13 12.6 100.0 990. 0. 378. 0.14 -1998 04 30 02 00 2.64 12.6 100.0 990. 0. 377. 0.08 -1998 04 30 02 30 4.51 12.6 100.0 990. 0. 373. 0.09 -1998 04 30 03 00 6.72 12.9 100.0 989. 0. 372. 0.02 -1998 04 30 03 30 3.44 13.7 100.0 988. 0. 372. 0.01 -1998 04 30 04 00 3.44 13.8 100.0 989. 0. 368. 0.00 -1998 04 30 04 30 5.98 13.6 100.0 988. 0. 361. 0.00 -1998 04 30 05 00 4.76 13.7 100.0 988. 0. 361. 0.00 -1998 04 30 05 30 5.27 13.7 100.0 988. 3. 350. 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385. 0.00 -1998 04 30 15 30 5.50 17.9 85.4 982. 131. 377. 0.00 -1998 04 30 16 00 5.38 17.8 86.9 982. 172. 369. 0.00 -1998 04 30 16 30 4.89 17.5 89.4 982. 73. 383. 0.00 -1998 04 30 17 00 4.07 17.2 93.1 982. 105. 387. 0.00 -1998 04 30 17 30 4.51 17.4 91.6 982. 151. 369. 0.00 -1998 04 30 18 00 3.33 16.8 94.8 982. 22. 388. 0.00 -1998 04 30 18 30 2.06 16.4 96.7 982. 7. 384. 0.00 -1998 04 30 19 00 2.74 16.3 97.2 981. 2. 368. 0.00 -1998 04 30 19 30 1.37 15.8 91.6 982. 0. 382. 0.07 -1998 04 30 20 00 2.66 14.4 98.0 982. 0. 375. 0.15 -1998 04 30 20 30 1.85 14.5 99.0 982. 0. 354. 0.00 -1998 04 30 21 00 0.76 14.3 100.0 982. 0. 363. 0.00 -1998 04 30 21 30 1.27 14.2 100.0 982. 0. 368. 0.00 -1998 04 30 22 00 1.27 14.0 99.8 981. 0. 378. 0.00 -1998 04 30 22 30 1.71 13.9 100.0 981. 0. 368. 0.00 -1998 04 30 23 00 2.26 13.8 100.0 981. 0. 380. 0.00 -1998 04 30 23 30 2.30 13.6 100.0 981. 0. 379. 0.00 -1998 05 01 00 00 2.67 13.3 100.0 981. 0. 382. 0.00 -1998 05 01 00 30 2.14 13.2 100.0 981. 0. 382. 0.00 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570. 397. 0.00 -1998 05 14 14 30 4.86 31.4 42.0 991. 696. 397. 0.00 -1998 05 14 15 00 4.96 31.3 42.9 991. 524. 395. 0.00 -1998 05 14 15 30 5.00 31.4 43.3 991. 577. 396. 0.00 -1998 05 14 16 00 5.38 31.2 45.4 990. 397. 395. 0.00 -1998 05 14 16 30 5.57 30.9 46.3 990. 375. 394. 0.00 -1998 05 14 17 00 5.84 30.8 45.3 990. 307. 388. 0.00 -1998 05 14 17 30 5.70 30.3 49.1 990. 209. 384. 0.00 -1998 05 14 18 00 5.50 29.8 51.9 990. 133. 381. 0.00 -1998 05 14 18 30 4.38 28.8 56.0 990. 56. 380. 0.00 -1998 05 14 19 00 4.12 27.5 60.5 990. 8. 375. 0.00 -1998 05 14 19 30 3.69 26.1 66.3 991. 0. 369. 0.00 -1998 05 14 20 00 3.03 25.2 70.1 991. 0. 372. 0.00 -1998 05 14 20 30 3.18 24.3 74.4 991. 0. 368. 0.00 -1998 05 14 21 00 3.54 24.1 74.5 991. 0. 365. 0.00 -1998 05 14 21 30 3.56 23.7 76.4 991. 0. 365. 0.00 -1998 05 14 22 00 3.52 23.4 77.9 991. 0. 368. 0.00 -1998 05 14 22 30 3.25 23.0 79.8 991. 0. 369. 0.00 -1998 05 14 23 00 3.77 22.8 80.5 991. 0. 362. 0.00 -1998 05 14 23 30 4.01 22.5 82.6 991. 0. 360. 0.00 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00 1.74 9.9 77.3 994. 0. 322. 0.00 -1998 10 26 02 30 2.08 9.8 78.4 994. 0. 321. 0.00 -1998 10 26 03 00 2.40 9.6 79.4 993. 0. 320. 0.00 -1998 10 26 03 30 2.29 9.7 79.5 993. 0. 334. 0.00 -1998 10 26 04 00 2.29 10.0 80.1 993. 0. 327. 0.00 -1998 10 26 04 30 2.16 10.1 79.0 994. 0. 359. 0.00 -1998 10 26 05 00 1.55 10.2 80.0 994. 0. 333. 0.00 -1998 10 26 05 30 1.14 10.2 78.9 994. 0. 341. 0.00 -1998 10 26 06 00 1.54 10.2 80.7 994. 0. 334. 0.00 -1998 10 26 06 30 2.07 10.1 81.1 994. 1. 312. 0.00 -1998 10 26 07 00 1.76 10.2 81.0 994. 9. 305. 0.00 -1998 10 26 07 30 1.20 10.2 81.9 995. 63. 303. 0.00 -1998 10 26 08 00 1.76 11.8 78.4 995. 189. 335. 0.00 -1998 10 26 08 30 2.73 12.9 74.3 996. 180. 352. 0.00 -1998 10 26 09 00 2.75 14.3 70.9 996. 284. 330. 0.00 -1998 10 26 09 30 2.55 16.0 66.2 996. 343. 320. 0.00 -1998 10 26 10 00 2.78 17.6 61.8 996. 447. 321. 0.00 -1998 10 26 10 30 2.68 19.7 56.3 995. 496. 326. 0.00 -1998 10 26 11 00 2.81 21.1 52.1 995. 542. 329. 0.00 -1998 10 26 11 30 2.76 22.2 48.2 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30 4.87 22.4 61.3 988. 76. 357. 0.00 -1998 10 27 17 00 3.97 21.6 65.6 988. 18. 386. 0.00 -1998 10 27 17 30 3.39 21.0 68.9 988. 1. 396. 0.00 -1998 10 27 18 00 3.58 20.4 71.9 988. 0. 392. 0.00 -1998 10 27 18 30 4.63 19.9 74.5 988. 0. 401. 0.00 -1998 10 27 19 00 4.56 19.9 76.2 988. 0. 409. 0.00 -1998 10 27 19 30 4.71 17.9 90.2 988. 0. 401. 0.03 -1998 10 27 20 00 3.51 16.9 98.3 988. 0. 399. 0.03 -1998 10 27 20 30 4.35 16.9 99.1 988. 0. 397. 0.04 -1998 10 27 21 00 4.69 16.5 102.3 988. 0. 398. 0.02 -1998 10 27 21 30 4.43 16.5 104.2 988. 0. 402. 0.02 -1998 10 27 22 00 4.62 16.5 105.9 988. 0. 399. 0.03 -1998 10 27 22 30 4.67 16.4 107.6 987. 0. 390. 0.03 -1998 10 27 23 00 3.58 16.4 107.8 987. 0. 385. 0.02 -1998 10 27 23 30 2.37 16.4 107.9 987. 0. 366. 0.02 -1998 10 28 00 00 2.98 16.3 108.0 987. 0. 341. 0.02 -1998 10 28 00 30 2.90 16.2 100.0 987. 0. 328. 0.02 -1998 10 28 01 00 3.09 15.8 100.0 987. 0. 348. 0.02 -1998 10 28 01 30 3.31 15.4 100.0 986. 0. 353. 0.00 -1998 10 28 02 00 3.14 15.6 100.0 986. 0. 345. 0.02 -1998 10 28 02 30 3.30 15.5 100.0 986. 0. 388. 0.00 -1998 10 28 03 00 4.23 15.6 100.0 986. 0. 393. 0.02 -1998 10 28 03 30 4.78 15.8 100.0 986. 0. 391. 0.00 -1998 10 28 04 00 3.84 15.5 100.0 986. 0. 390. 0.02 -1998 10 28 04 30 4.27 15.5 100.0 986. 0. 390. 0.00 -1998 10 28 05 00 4.33 15.4 100.0 987. 0. 389. 0.00 -1998 10 28 05 30 4.45 15.3 100.0 987. 0. 389. 0.02 -1998 10 28 06 00 3.68 15.2 100.0 987. 0. 389. 0.00 -1998 10 28 06 30 3.23 15.1 100.0 987. 1. 386. 0.00 -1998 10 28 07 00 3.46 15.1 100.0 987. 6. 390. 0.00 -1998 10 28 07 30 3.47 15.2 100.0 987. 18. 390. 0.00 -1998 10 28 08 00 3.76 15.4 100.0 988. 35. 390. 0.00 -1998 10 28 08 30 3.74 15.6 100.0 988. 53. 391. 0.00 -1998 10 28 09 00 3.58 15.7 100.0 988. 40. 391. 0.00 -1998 10 28 09 30 4.18 15.6 100.0 988. 43. 390. 0.00 -1998 10 28 10 00 5.10 15.5 100.0 988. 75. 389. 0.00 -1998 10 28 10 30 4.61 15.5 100.0 988. 129. 389. 0.00 -1998 10 28 11 00 4.29 16.2 100.0 988. 227. 390. 0.00 -1998 10 28 11 30 4.32 16.5 99.7 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10 30 02 00 1.80 16.9 100.0 984. 0. 382. 0.02 -1998 10 30 02 30 0.59 17.3 100.0 984. 0. 396. 0.02 -1998 10 30 03 00 2.50 17.6 100.0 984. 0. 398. 0.00 -1998 10 30 03 30 3.07 17.4 100.0 984. 0. 400. 0.02 -1998 10 30 04 00 3.43 16.9 100.0 984. 0. 398. 0.00 -1998 10 30 04 30 3.37 16.6 100.0 984. 0. 398. 0.02 -1998 10 30 05 00 3.16 16.3 100.0 984. 0. 397. 0.00 -1998 10 30 05 30 4.20 15.7 100.0 985. 0. 396. 0.00 -1998 10 30 06 00 5.02 15.3 100.0 985. 0. 393. 0.02 -1998 10 30 06 30 5.90 14.8 100.0 985. 0. 388. 0.00 -1998 10 30 07 00 4.83 14.6 100.0 986. 9. 376. 0.00 -1998 10 30 07 30 4.59 14.9 100.0 986. 37. 339. 0.02 -1998 10 30 08 00 4.68 15.3 100.0 987. 98. 376. 0.00 -1998 10 30 08 30 4.80 14.9 100.0 988. 91. 351. 0.00 -1998 10 30 09 00 4.66 14.9 100.0 988. 145. 328. 0.02 -1998 10 30 09 30 5.12 15.4 100.0 988. 261. 332. 0.00 -1998 10 30 10 00 6.24 15.6 100.0 988. 374. 343. 0.00 -1998 10 30 10 30 6.71 15.6 98.9 988. 419. 372. 0.00 -1998 10 30 11 00 6.73 15.3 98.7 989. 341. 369. 0.02 -1998 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"markdown", + "id": "e93a0e24", + "metadata": {}, + "source": [ + "# HRLDAS/Noah-MP GitHub repo, Download and Compile " + ] + }, + { + "cell_type": "markdown", + "id": "37b61ae1", + "metadata": {}, + "source": [ + "This is a short introduction to:\n", + "1. HRLDAS and Noah-MP GitHub repository\n", + "2. Download the model code from the repository (git clone)\n", + "3. Model configuration & compilation" + ] + }, + { + "attachments": { + "image-2.png": { + "image/png": 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kXV+S4zrrAhgZKxDeJ/oJih3o5deTqbvJxjXn53//+91Mk5l/v5s67s3xb2Wc9uOPP4nGhfv2BuuvHw3feqsto+DDaGCePU3hGhPemxR6n9E9U6GXme2nVKBpvwMPNreMvjU2+FDz6lw9bPg1ZsBhh7uWR7Itr7GOq2u/PvW0QVH+i/vC8tgLdI8Rll8Xe6vKpYynWOf2QvpxvBRSk2UhgAACCCCAAAIIIIAAAgg0NoGKrgExLJDRD6PAr7qSpkkvxClVAenwESPN8BHXxG6iagfwb+n7Cb766j/uYda11wwvixpn/HbRTRXw+5OGFqIGgXDprgA/bZ8t1f4abgf9pRWYOWt2vVb4xx9/mMHnnGteeunl2OWcMeh007PnjrHjkgzU9rVp3SrJpBUzjZoc8w/jdEyHx7W+hMb7pONSD33Taz3zTea5YGFbS2LN8orfhLrftrjuGYOqazXQOD1Y+OGHH8z7739o3hw/3k0+5v4H3PBzzxncZGsFiXNrqsNUK+Xkb75xX3+abcqblF0gPFc0tjzAQ/ZlmDDdY4PZTz3lpKj5y3Bcofq1z/n9L1MNqQP6H2K6dNnABps0M+v885+FWjXLQSCrQN+++9rmPGtqOFReS/dqTz39jAtuUYBL334HmptvusGssfrqWZdVjJEbbbShefjB+81PU34yYTBiMdaV6zKTHNe5LpPpqwWUJ/X5TfU3dNpow64uEEzboWaQFRgYl1577fWUwa/YliEy1bz1tn2ZyqeNgwBH1Tz66MMPmO++/8HVROqnqW+Xa0xtQX9vozFxga+15yjNEAXK7d/voKjWTdV0qCbodQ5ecsklzXfffWcm2JcprrjyKrdBaoHktNPPMCOGX12aDSyjtdS1X+v+0Oe/bDMMZbTlTXNT8inrbixSxTq3F9KH46WQmiwLAQQQQAABBBBAAAEEEECgsQlUbABiXIFMksAsP41/YOy7fnixfmC9uZ8efKgmME895USzka29pXnz5i4A8dVXX7OBQ0Oit7f1MOvoY44zzzw9tqgPfIv1vRv7crUf+lTowINoubYmxIlffBU9XNI6i72/+nXTbRiBWbPzr6Xwhx9+NEcedXTW2lPPHXKe+eo//3FNleXzDbV9jS0AUcdUeJyFLnHHdqYgRM2ncT3MVmbYpFFuMf7BcLjMUvXvsftuZu+9+sSuTg9/Dzz4UDfugQcfsk0xb2G6d986dloGIoBAbYHGnAeYbpuvvPe+MbW+9PPPv2C23z57E++1ZirwgGbNmpn11l2nwEtlcQhkF9h/v33NUkstVWsiBeWeY5tqfvSxx9392ymnDnJBUbUmLMGAFVfsbPRHajoC4Qs04csyDSWw3nrrRqtODzKMRtieF198KfzoAnmHnDs4thbDsHZEBZ+HSeUp+itk4hoTr+nvZ8qpLOKVV1+Ngg+XWXppc8vNo0z79u2jL9Chw1JGwUzbbtPd7NF7L3eOfv6FF82UKVMyNvkdzdzIetivK+cH1THmy6m11XFlEZXzbfLb0mKc2/PbEuZCAAEEEEAAAQQQQAABBBBAAIFcBSoyALG+BTI+eMsX6viuH54rYpLpL75kaMpkejv7upHDUx5kqRbEnWytZGutuabpd8BBUbN3qhnxgQcfNnv12TNlGf7DX3/9ZV5/403z/fffm//+9xez8MILm6XaL2m6du1qFlhgfj9Zxu6cOXPMeFtDgZp7Vg0VHZdbzqy11lqmbduFM84TN2L27NnmjTffNF//Z7KZ8vPPbjuWXrqD6WZr5GjTpk3cLBU/zO87xf4iavLVBzNpncXcV+v6LtpfFLz2048/maWXWdp0sA9jFUBbV8plPjUTPGPGDKOCch0rmZICJLTfVVW1tPtY60yTGR0jeqP/Z7tfLrTQQmbpDh3c/plxhrQResP5yy+/Mosuuqjp2HE506pV8Wr/k9O8ufnXOnDvffdFwYdr2+P4+BOOMyssv7xRc8xjxz4Z1QBx6623mX779zXzz1/3OSKNw22ftrNFixbpoyr6s2r0yOX6UlcQYrljqLakcwafZc48a7Db1Ids86phAKIC4NWcc+vWrU3Lli1jv472A19L3j/+8Y9E54LYBSUcqPOCzg8652h9StqGjz7+2Pz+++9m9dVWq3Vs6zvo+vi9rSFnlj1ftLc1oujalHT/nTr1DzN58mTz62+/Gj3c7GDPH37eTOegSjyH+e8yfXpNrYeq4Ut/SvPNN1/0vd2Av/+Tfz7XhHAZldqfSx5AD+7zrZ2qIfIACjT06bwh55jTB53pPj740MM5BSDq+vm9/Zs5c6ZZsfOKZpFF2vrFpnT9MeP3N43Uvug/6xykc5FSLued3377zdaAZPPHNi+tfO1S7ZfKuA3Zlv3LL7+aTz/91Cyy6CKuFryk+dr//e9/5vPPJ7p8w/LLd8rrmuu+dIX9d8yJgxJtcdLpEi2sgSZaYIEFzLnnnG3effc9l9ecNGmS+cTuK6usvLLborj9Vdcl1Z6ovGnH5ZY1ywY1K/qvoXPy5MnfuBoNdb1bYvHFU+4b/XRh1x8v2j+rqjLf5hciX1zo4zr8HuovZd47fd18zl9A9xUKQnz77Qnm088+c3mzBRdcMGWBP/00xY0LByrP+dnnn0fHjR+n48cHKyoPpr8wJd3nw3l8v+4hdZwp6Xjx5/W4Y9bP01S7Eyd9UZZfPWyee7fddk0JPgw3uFOnjqb/oQebyy6/0g1++plnM76gpQl0zf/m22/t/fPvpt1i7ew5eplo/3ALyPKf9p9v7bw6R7Zp3castNKKLg+daRaf/w73wbhpM+3rSe+NMu3X/n5v5syaFyA1zJfv+LIYDVOqq9wlPK4y3TvEfb/GOkz5fx0/ScvvcimLKLZZ3L6ldX5t74u//eZblyfJ5Z46l+t6pv09/M5q2UHHqe7zVT7XqWPHqBwg0/4ezh/2a1lffvWVKy9cdZVVTPp1y0+b5HhRGWZ60nH++cSJrtxk+U6dzGKLLZY+CZ8RQAABBBBAAAEEEEAAAQQQaDQCmZ9MlOlXLFSBjC8A8g+PfdcPL+TX1xvWChAM09BLLsz4EGk5+yDq8MMHREEhmu+VV16pFYCowr1hw0eYa6+7IVx0Sv/+ffczxxx9VMbgrLcnvGNOOOGkKNgxnPnkk04wm2+2WTgoY/+zzz5nzjr7nFrNSGsGFVoed+zRWQt5My64jEdoX/TJ1Xhma1ArVtLy9edrHqhPIEO+2/jDjz+aswefGz0ECpezy87/cs0y6iFsespnviuvutqMuvFmt6gXn3/WLL54u/TFus/dt+nh9jk96LptdPX04YQKSLp62Ahz2+13hINdf4/ttjXHHXdMrQdZfsLp02eYSy+73Ab/PhTVSOrHaX3nDj7bdOrU0Q8qWHe2fWiRb1JB62O2Bh6ltm3b2vPD1abV34Fj+ryXrQnvK1uwqgASJTWNtsUWm7v+XP/TdvogrFznLefpdQ3w1wNtZ13XBB2XLnDRNrlciWm7bbeJrjUTbaG4Tzp2um60ifu4z957mUGnn+pHpXQftkGLaspMSbWOdNkgtWaalIkL8OHU0waZJ2wgrdK777xlzrDBkw8HzcRedeVlZpvu3aM16aH15VdcVetB95JLLGH622Zc+/SOD+zXAvTg47IrrjR33nl3tDz16GWBU0892exga4HLdA6qxHNYn732reU04PCB0Xc/0QYzH3hAv+hzPuf2aOZG0JNrHsA32Z5PLSYNkQfw1wn9VNv32M5dL3Q9fOnlcUbBI5muy/6n1bE3fMRI8/4HH/hBrqtjT4HOx9vrrw/20AgFBdx8y+iUaZW/9XnczTbdxFw7coQb//gTY81JJ1efk264fqTZuFu3lPn0QUF/Og6ffe75WuO0LOWNV111lVrjVOujaiJXuuP20eZH+7KFlqNgsTDttVdvc9wxR2cMKLzr7nvMjTYfU9OcYfXcCp4ZNOg0o20gNR4B7cvbbts9yrt+/fXkKJAqfZ96xzYHqn1DQbFK++27jznNXlN80vX3qquHm9vvuNMPirqqEWjgEYcZ5WHTk/a1bbfbwQ0+4vDD3HTp09QnX6xlFfO41vIbKu+tdZMKJ7D5Zpu6AEQtUfv75punlifohUWf1Fyu7tWUVGOiD9z14z/55FPfW+ueRc3rbm3vBZUUXKbzetKkY+GAgw4xH330sZvl4IMOdNclfUhyjUm6HqYrrsC0aX9FK2hvX8DNllQj/LrrVtfQqZoR49LEiZPcy3pxeQe9uHf0UQNT8i7hMhRYPtq+4Hf99aOi87sfr3P33jbfEFcrvc9/6yXHJx57xM+S0tWLwttt39MN0zFz+GEDovFJ743i9mu9pLHRxqnHpxbs7wHVf/edt7vmrDffsrqsa7XVVjVj7k29N9J0Pqm5a1+Oo3xbU87v1Cq7rqO8sNb022xZZ1mEdy9GN9y3Pnz/367s+Z577qu1f59h87W999zTlg3Vfik5n+t6knO7jtGhl15WK3++9VZb2nLJk804W36usksl5efX+ec/Y4lUfjbkvAvMI48+llLmF5ffSnq8rLXWmtG6VN5+/gUXRtcaP0Jl5If1P9T067d/rJufji4CCCCAAAIIIIAAAggggAAClShQu4SgjL9FoQtkFFiiB8E+KegkfKDsh9e3++KLL6csYpONu5ktNs8e9KOaEFVYt2HXLu4vvcY1FeQcdHD/6MFsygqCD7eMvtX03f+AlMIUP1oFO/0HHB4bfKhpLrp4qLn1ttv85Bm7Cq4ceNQxtQqi/Ax6S/TcIee7QC4/rLF1S93k1dgSBztNeOcd03OnnWODD/VbKiih1792dW9Dh79tvvPNzbEGwLgaA1Wbkpovjws+1DaOffIpc9BBhxoVJKYnBVfss19fN69/2z+cRrV67NCzV0aPcNpc++fMmZvrLNH0qmlpU3ve6NVrJzPQPpzwwYfRBLZnWVvDqU++5jr/OZdufbYzl/VUwrQ+CLEStjV9G8O3+6dM+TkarYdoPs2dl3mfVG0BPuV63Pr5cumG23XxJZemBB+mL0fNsimATjXwpCcFzynI6I4770of5T7re51y6um1gg81UkEjJ5x4srnOPmD0Kf0clKtF+vxabqnPYXUFPwe7hMn33O69Gls3lzyA8pqq9a0++c1i5wF0DVSgoZKuJ6rBZscdt49+tifGjo3643o0r4699OBDTatjT9flffbb39Vw5ucPj20/LFM3nDbuWFMg1gEHHhwbfKhlavv2s3njL778stYqwv183LhXzbHHnVDr4aZmUmDygTYPkX4t1MtBJ9tzh84v6cGHmk/DlPf2ATcaRmocAkva2nV9Un7Mp3CfeuyxJ8wlQy/LeM+k+7vDBx4VG3yo5al2Re2TysOmp3kp1+Oaa7Ofrj7XFC2j2Md1Q+a9vRHdwgioFQaf3rL3TOnp1VdfiwbpZUm92KE07pVXo+G+R8EbPqnm7jCFx1bYH04T16/gw4MPGRAFhBx0YD/3sqSftq5rjJ+ObsMLqNUOnx544EHXgoL/nN5VwM96667j/vQyRHpS7WxqhSQu+FDT6iUJBWSF9z7hMq4eNtxceNElsed3nbtVHqb5dZ6PS3NmZ34JMcxrhPunlhN+znZvFE7n805JjhvNp5dO/EtmCtpVQGRcks2DD1a/6CjvrmlNpsfN01iHpZdd11XWnD59Pi8sFdoy3GdGXnuduWbkdbH7t/ZtBZ6mp3yv6+F+Gfb75esef+CRR8fmz3X89u6zt6v93E8ffg8/zHfPOfc8o5eG0sv8fH7ruedf8JPaYy3qzdgTrkv3Cvva+x0f6B7OpPUNtS87H3zIoa5Fl3Ac/QgggAACCCCAAAIIIIAAAghUukBVpXyBYhXI+NqtfI1XvuuHF8Ln80k1tUppeavZJiLrSqpJw9f0EjftsBEjzJvjx6eMUq0qXWwh39sTJqQUxugBsAojB599ZjS9moA48uhjaxW0qKBQNTD6QpI777onmieuR02M6SFvmFQ73Pr2T2+QhwW4qiVLzd/VFXwZLquc+yd+8VW0eZ1XWD7qz9Yz5ef/mjEPPGI++Wyia1545RVXMLvtspNt2mfRbLO5cWETjHVOXOAJLr30imhf0YOivfr0tk0ZL2jee/8Dc9ddd5vnX3jRBRWMHn1bSk1p+c5X381XwZ8e/vuaR/Wm/m677mLWWH11M+mLL8yjtpZAPfxSIICCZ2+84bqUZpXvvufe6Bjo1m0jV8uRml6aaB8eqLZP/1b/hRdfYjaztXzENbOS73fI9FAjyfIWsQ/wTj/t1IyTatmv2gJbn9YM3s72w5J267OdSdfBdMUXUBNjPoXBE35YOXdVO5SuWXvusbtRTQMK1NcxrvTZZ5+7h8t++/v23dd023BD09peW1Xzpx4i+uB4NSOfXjvPiGuuja5fWkefPnuajTfayChITzUqjBnzQOyDFr+++nYb4hx25RWXumah7rr7Xvv97ndf4cxBp5s111rD9bdv3z76Wg11bo82oAx68skDhJuda36zlHmAx594ItrUHXeoDjzs2qWLO9503Nx73/1GeYG49MGHH7oAOz9OAYxb2pp29fBatVvp+qvaBJXPPPmU041qTlU6wNYA0rPnDub99z4w5ww5zw1Tc4p9eu/h+heMqWHZjUj7T+c0vVzga5fTSz/b2ppeVdvhp59+5q7hyrPoe2i6u++6I2NtjiOuGem+c/9DD3ZNirZu1dq89vrrtnbkK9xalb9+7LHHXJCm34zx49+KAqMV4DDYNnO/tj0/KcB7vD33nHPuEDeplq1z1xJLLO5nbVTdKy6p/p5xXypsdjnbdHHzpg8Ll5U+rtSfv7HNEfqk/Fhc8rUaat9ed51/uib42v3dDJ8CTE497fSo5jjVvrPzv3YyG6y/vmuG+dVXX3cPybVcBSEukkOtw/W9ppTiuG7IvHfcb8Ww/AVWt/ddyjvpPPuGfVExTLp/UPO3Ssp7abqtt97K3HPvfe7ebNq0aSnN1Y5/661odpUv1DdNnTrV5Q99gLxqklONcqTKFFh77ZoARN3368UA/Z4bbLB+TjX1q9bzAYcNjPIOqql52226m2WXWca8++575s6773Z5FwV/L2OHqXWPMCmAScFZStqn99h9N/cy8Sz7UsJLL73sWh/Q8aDapVWmcNiA/uHsBevPdm8UtxKV59x7T3Vtu4MGnRW9tHXXHbeZFlUt3Cyd7bVIaddddo7KH5+x5SFhrehuAvvf+7ZsyOe/dv5XL9O6dWs/qkl108uu/ZfPlPdPn74cgg/9NvuuXpxRLZ3K/69tA3+nTZ9m7r//QTPm/gfcJDeMutHsbvM2Kkv2qRjXdZUxH33M8X4VRjUe6hrSufMK5oMPPjJjbUsJKie/7vobomky9eilKF17dB5Rnnz11VczeoFEZZq+HPuIgUeZd94e71oUyuV4mTr1j+h+RutXWbxaF5pn/014+x1z9fDh7pyi85bWpVYpSAgggAACCCCAAAIIIIAAAgg0FoGKCEAsdoGMDzb0BUK+64fX98eeYmuSCdMKCYPVwnnCfr1JOmrUTeEgc96Qc1yhoB/45FNPm2OOrSmYUcGKCgl9gdCTTz4dBVj5edR05VZbbukKa3/99Tf3kDSuhg0/vbonnHhK+NE1S7v77rtGw1Rg22fvfaPPmv6N18blVCAczdwIenzwob6KHgYqEFHDBhzSr2y/nQrmVNuVkgr4Tjn5xGhbVUvnBuuvZ/bvd5Cr6UgFfmryRM2v5DtftPB69KgJFV8Yqge4N984yiywwPxuiQpUUg2j/Q87wj3oUm2G99lgm7BJpEdss7JKeoAwcsQw0/LvZozVdIv+/vzzL/cQWEEUn33+uVl5pZXc9IX4b26SV6sTrkgP+fQ3Y8YMF3h5++13uOArzd57zz3M0h06JFxS7ckKuZ21l86QUgmo9lKfVOheSUlB96NGXVerGXUFcahWBJ/OP+9co2bifVLNwqoB5cCDD3WDjre1Gb7x2ivuvKUBarp1+Ihr/OTmumtH2ECRdaLPm26ysWvyVbWYFSs1xDlsheWrA+mX7lATpLzSSitGQZ3+uzbkud1vQ2PpKr+pv3J70HifDbBV0jVwow2ra7Kqqqpy+cxbb7vd1cL28cef1GrCWM2YDRhwRPTzHHXkESkP2XUc6cHlTr12cXkEPSDU8bbiip1dIJ6C8WYENQPpGuWDiqOF1tEz5Lzzo5oHlWe56srLTfPmzd1cWpYeoJ9w0snm8cfHum048+zB7jqfabF6GUjnC590nmy3WDtzig0UU3rBNjWtIEufnn7mGd9rhg+7yr50tKr7vNBCC7mHo//3j/nsA8nzXWDO8y+8kLUZ+GhB9JS9gGpUe9TmPX1avlMn31ure9211xhdR9LTfWPGRDUbKnj11ltuci9u+em26d7drLLKylGTgocfcZR55eUXEgV41OeaUqrjuiHz3t6YbmEEWrRo4YKvnrD3hQr0U3DX/PNX34cpEFyBWEpb/N00s+4nVVahpBoT/fGh/JwC15V0/VggYSC6myHmPwWEHNL/sKh23mOPOcocekjqi5QxszGojAVUe6bKwU4fVP2ircos1LS28i8KIFzHBnrr3l3lb9leGLzw4qFR8J3uGbRMP72Ck7azzd7vtvueLrju+htGmR126BE1F66a0vTio0/Dh11pa/7r4j+6Y0EvQu5q51e6/fY7jZr89uUL0YQF6Ml0b5Rp0cof+XyWXhT2aY01Vq9VXrf11jUtxzz2+BOxAYhPP1sdXKzlqLylKaa4sms5+DJm3/VlzXHT+3Hl5Kd9a/TNN5p27dpFm6XzssqafHnC62+8EZU3a6JiXNcvsi8A+2uIjlXd5/u05hpr2EDC3cwRthzgRZs/T5I0z6jrr3XnDD+9avvUS/YKDlSaaCsU0HGSy/Eybtw4vzhXPqoAR590/tA9tmpcVcDuMzYonwBEr0MXAQQQQAABBBBAAAEEEECgMQhUP5Er429SqgIZFfKkN8c8cVLtptnyofppSloA4t8P+fNZluZ5JijY02c9+NQD1TCpAGOfvfcKB5knn6pprks1F4bphOOPM3qwpQcGSiqAHHLuYPeWazhd2K/CVv351GunniYMPtRwFdhq2T6psGhC0JSSH16J3XD/UBOsSZICDtPTp5/XGKaPCz+H6wjXHU5TjP5f/vtLtNi4gnI1zXjP3XeYjz98z4yzD0IVfKiU73zRyurR4ws7tYgR9iGADz70i1QgxeWXXuI/mnffez/qVyGqbzaxjX1rX4Gi6emsMwe576vvXMjgQ7eemPWlrz/p52G2KaiNN9nMbLX1NuaQQ/qbF2ytT23btjVHHXWkOeaYmgCtpMtLma6A25myXD6URED7+cM20HbopZdF69vF1lRRSem4446pFXyo7X/v/feiY1i1b4TBh/77qRk/PfxT0nUpbErM1wCscSccd2xK8KGGKelhuWpFK1Yq53NYQ57bi+Wdz3LD63B4fc5nWXoYqZrcwmWmLydcR7bp0ufL9bMCC33erlevnikPyLfffrtocQpoSk+qgdvXfKPag/sfekj6JC4I5aKLzndN+ekBn4L4C5V0LCvgRUlBCRecPyQKPvTrUEDBuYPPNr75RT2g/O233/zolK4eFobBh36kamr06YsvUu8V9JKQT3F5JuXZ33rzNZeH6NO7OhjBT0+3MgXUbOfxJ5wU7ft6IN+pU8fYL7PXXr2j4Kr0CcJj6qqrLk8JPvTT6uWR7XtUH4fa319//Q0/Kmu3PteUUhzXDZ73zqrHyHwENra1z/qkWtF8UoCKT36aLkGwlg841DQK+tB+rrSpzXfVJ1XXcHeEq81Oyzn15JMIPvwbNNc8RZKWH3JdZn1+W5WDKQhJQYc+ab9RUNSZZw02O/1rF7PpZlu6msvDa7SfVk0i+5q/FWSlmsp88KGfRi9InG/zFD59+OFHvteWsT0d9R9t77HD4EM/QrUwa59TvkcvR/7nP1/7UQXtZro3KsRKFETsX7jQvdLXkyenLFbn8QcfqH6xTY566bOppUxl13FlzW7ap56NAhNlVW4vJIW/39FHH5kSfOjHKV/j0+RgnyjGdV3LfOff77rVaR9TmVx6Unn20IsvdPcB6ePiPp904vEp5w4/zb777O17je6Nck1q+canuPsB1dioslOVJ15it5eEAAIIIIAAAggggAACCCCAQGMSKPsAxCQFnMX6QSZO+qIgi27RvDqozy9s7ry5vjevbhgspQX02mnH2OXsuGN1s3l+5HtBkFUYYKHxvfeseSPTT69C3GwPR9X8bpjatGnjalXUssM/H5Dmp/18Yu0gPD+uKXbjAtzKyUE1E/mkGjHVlLYK3eva7nzn8+vKt6uaWsa9Ul2DlwIQll22phmYcJkLLrigewCgYe8EQbF6s1lNNiopkOKAAw8xL708zsyaNcsNq6T/4mIEVRvi5zbgI+4BTCV9N7Y1mcC9940xV109LPq7/IqrzIknnWJ23OlftvnT06KFqAm6Df+u6SwaWOY9mZriUxPLPnXpsoHvrdX9pw2Q9+nTzz7zvebjT2oeMqQ3zRxNZHvU3FMxUrmfwxrq3F4M63JaZhhg2JDbpcBkn3bcPjUfqSbXfOCeaquabZsWDNOECf+OPnbfeutawX9+pB7Aq+ll/fkmnv24+nQ/+aTm5ZquG3bJWFvWP/7xDxucX1MD3fsffBi72kwPz/VwUwEESj///HPKvKppySfVnvLQQ48YNflJqnyBoZdeHl1LdV09/4KLzCGHDjBbbr1tlO/U8XHRhedn/LIbdq2uUTR9Ap33VSO3ku6/VCNPprSFbdLcpwnv1Bxzflh6t77XlFIc140p753u31Q/h0FYqtXQJzVHq6SmPBVAoqQXxRS0rqSaYX0K9z1fG68fl0v3zz/+NP0HHBHV6H/2WWeYvn33zWURjW7aXPMcCqDSPLnOJ7h85skVXC8bjXvpeXP5ZUPdS0Lp8+ue/trrbjA79OwV1XTop/n4k499r1nftuwQFyykCXxNger/8KOaAMTx49/SIJe22nKLv/tqd7TP+byPgo+KkTLdGxVqXTsHNT6r1rYwfWDzUv4lFL2UnB7EGU7bGPszBR/67xobhGhfQPKpnIMPtY2rrbqq39SUboelOkSfw6C7YlzXJ0/+JgpK18uEmZr4VrBstjKAaINtj2qWjksdlq75Xt9++23cJFmHrR0E4J5z7hAz8trrzbfffpd1HkYigAACCCCAAAIIIIAAAggg0FgEqsr9i6jAUoUxvqkK31UBTiFTXQVG9VnXYu0WTZn9S1tbSrYHSykTx3z4yTaJG6aOy3UMP0b96cN9wJECx8JCUz0s880iRTP/3ZOtcHRKWs2Oehjtm09KX074+aeffgo/Vmy/9k3/dr+6SQrXV1mps2t2OfzSGpYk+XVp2iTrSrLMJNOoEF5v7F9w0cVuctUmoD89IFUtYKqRQoEG6bUM5jtfkm3KNs2vv/4ajVYh+CabbhF9Tu/xheSq8VABAr5prwED+kcPk9WUk29qVYGJKuxU7TPt27dPX1xhPtvamWx0Z0GWtbN9GKOgsmnTprkH2y+8+KINPPzJPPHEWPd3z913pTSTk9NKtZ2kihC4ZuR1WbdTwYdHDjw86zTlOHLRRVOvrX4b/bVOnxUwfakNGolL/vjXOAVV97DNqyl98GFNMNJyy8UHMGs632Sx+guZyv0c1lDn9kIaF2JZ+eQBMq03yUPHUuQBFFCooGWfFGyqWqPCpMDb2++40z0AfMUG+4dBumEw3krBywvh/MXs//m/NbWNrLTiSllXtdKKK0bjw1o9o4G2p2PHjuHHlP6FF17IfZ5ug/rDpFoj77v/fvPVV/9xD+J9U83K9+t6rBrKK625+/D7NeV+X7tmJgPdT40efZNZOnhonT5tu3aLpQ9yn3+x+VWf1rRNX2ZLnf8OftU06fdicfPV95pSquO6QfPecXAMq5eAjgMFGOoeSzV1Kp/5119/RU1a6t4xTJtvtpl59dXX3Lnz+++/d/dZ48ePd5PonnONOo6LcFnp/ecMOS9l0O677ZbyuSl+6Lx8x6Ac44tEZQsDBxxU1lR6GVZ5ef1pX/vYvpTw9ttvuxoK/cu3qhlxn333N3fdcZvx5VxTptS8SKAyDh8km+3Lvvvue9HoH4KyOQXWNmTKdG9UqG1SUJde8NQ9VHozzE8HAYk77lBTU3Sh1l3Oy0laluzLsH2Ztv9OSe4D/LQN1c30Uu/889fUPJpehlXo63r4kuAqq6ySlULXjLrybdqXM5WDz/9/80fLz6doTutXM/BPPf2MW86VV11t9Kfromr/3XLLLUw3W65YVVX2j2QiB3oQQAABBBBAAAEEEEAAAQQQSCpQ9jUg6ovEvi1qm6soVEpaYJTv+tot1i5l1s8nJmtyN2Wm4MPvaTWpLLroIsHYmt6FFlqw5oPt803MKRjJN2ekCZZaaqmU6cIPiy0W/6BM00ydmvpQOpwvW/+06dOzjW7U43bbZScTBhyqX8PKPemN/aGXXGRWW63mzWftQyrUU4BPlw27uQBF1bISpnznC5eRa3/68aEC8kx/4bLDptLV5OLdd91htgxqmdG0qlnxkqGXma26b+eCEv8bBDuEy6pPf/MCBvYpeKpr1y5GteUcf/yx5pGHHzQHHXhAtHlXXnVV1J9rTyG3M9d1M339BPQgVw/Idtihh7nh+pEVGXyYTcBf6/w0SY5/NaHp01dffuV6FUySqRYUTaBa1GRZ6FQJ57CGOLcX2rkclqcgRj3Q9w8kG3qbFFAY5g+7brSJ2aBrt5Q/BR/69NDDj/he1/3f//4XfV7cNldY6jT196nRKtu3XzLqj+tp336JaPD/fv896g97mjfPPdC+Xbt2ZvTNNxo13xym9z/4wFx/wyiz+559TM9eu0TNgIbT0F95Anp4rSaXjzv2aHPfvXdFNbrl+k2mBoG+HezD6WxJTYH69HuGfdePV7e+15RSHdcNmfcOvegvnICvrVMvc0239/9hTYh6iS1Mm2zSLfr4+htvupr2VQO90qa2xlrVPFuodM3Iawu1KJaTQWDs089FYxTsWOqkPLrOKYcecrAZc+/d5qYbb4iaZPVlGH6bfv9fah4g032DhvsUNqHsAxh1PWjVqpWfpFF2dRyqdkMlBXX6Zpj1gvOjjz7mhquW6w4dMpcvuoka2X9hQGFdwYTpZdt1TV8uVPnkiQt9XQ9r1ZxXR6tCaq65rpTtPr+ueesar2Pl0qEXu3IWnRt8UlD+XXff48oSt9iyuxlz/wN+FF0EEEAAAQQQQAABBBBAAAEEGo1Axbxu5x/O+sId3/XD8/1Fih18qO1aeeXUWlg+sA8h60oqMLnpplvMzL+bfVUw4d579XGz6eGmMTVNxahJCN8UXLjc9JoGq+erDppQIYgvRA2bngznV//kryenD4o+t227cNSvnt1229Vkah5JD68WWqi6tpjlO3VKma8xfFAh+8AVDqrzq7RbbFEz4JB+dU4XN0HYJHhDFOSrmUT9ffbZ5672ivFvvWXCpndGj77NTPlpirns0ktSNj/f+VIWkuFDes1DmmzBBRZImfrakSNSPocfZs2caVr+/aCgQ1og7lprrmFGDL/aNVX8yquvVtcg+MKL0XGjh2L79u1n7r7zdqPmnAuV1FxNkgLTfNe33377mlE33uRmV7CJHhiEhblJl6vtJJW/wB6772bOGXxW0TZ03tzC1NZZyA1ceOGaa9NRRw7MWtuYPweEAR26nur6qBpNpk+fYdq0aR27eaoZLgzWip2ojoGVfA4r5rm9DrayG500D+A3XIGHPbbZKlGNQ36eUuQB0gMK/bozdfUSgpqy9NfARYIXYr6xzaT55jUzzV/o4QstXHMtrqu5tLAZNF+bYaG2R/ntwWefaU45+USj66yCbl586SVXs5fWMWnSJNNn733NvffcmdKkY6HWz3KKI/Ds02OzvrRVn7UuFOQjs917aR3f2drhfFq4bVvfm7Fb33xxKY/rhsp7Z8RjRL0EunXb0Nx62+1uGe+9/7557bXXo+X9859rR/3qUfmAXvxQ3mvcK6+YtWzzlT6PtXG3muDElJly+HBAv/3NTTff4uYYPuIas6ptdlM1+jbV1HmF5Y35u/lXlavVVaamWph9UGFd+RdNm1prs11XA6cN7Qt5l112idm/X3V5zRtvvmmONNW1vy8YvLSr4LmDDqp5WS99s/19Q3hvsOSSS7rruu4d9KLvfPPNlz5bvT/PM+Vzv7VTzx1dc9b6UioLOvCAfuZ92/yyrwly1112rvf3rbQFKIjQHUe2W9expO/mp9FxWMqWTRrCtZDXdZ23ffro4098b2xXrRs0dFLthmppov+hh5oJEyYYlZ++8cZ48+b46tp9dc4YdMZZRjXQ995zj4beXNaPAAIIIIAAAggggAACCCCAQMEEKiYAUd/YF9T44EPf9cNzVSlF8KG2SU0KhUlv9asJ1O237xEOTul//vkXzNDLLo+GqdDUByAusXhNzRea4EtbW1NcAKKGhykMsFCh/7PPPe9Gq3D/Jxs4tvjiqTU1amS24MQl7EOCMK226iouQC0c1pj7Vfg+bNKokn3FiV98VbJ1ZVvRSiutaPTXd799jGpeUVNFF15UHXSoYITTTzvFxDX/k8t84RvWU6f+HrtvqiYN/2Aq3N62wcNYBdqm17ARTpukX8fFLrYpY/3NsgHBOm4ust9XhexqYlEPMLbp3j3JohJN06JFc1sImWjSWhM9aH8LH1x4wvHHpTSN6SdOD27U53xqFdF2khqvQBiUGtZ+lP6N/cOm9OEN+TmsuXcp21R6rucANY/qHwz85+v/mJVXSn2JwH+3SZO+8L21uk3pHJbLub0WVAUPyDcPkG9NJ8XOA+g4D5squ/KKy2xwevwPdNnlV0bBdE899UxUG87ii9XkIz/7/HOzkW1arJQpzHvoZYlsKRzfLktt39mWUdc4BSF07761+1Mw4tsT3jFXXTUsOr88/PCjBCDWhdhExoeB8x9+lP2h+cSgJv3FMzTpHLLVN1/cEMd1qfPeoRf9hRNYb931ooW9bQOxX3jxRfd5+x7bxdYwvZ1tOveW0beaF1982Wyw/vrRvF26bhD159Oj8/BJJx5vVlyxs6u5X8sYeNQx5tGHH4gtQ8lnHZU2j4Ke9OcDBVUulq1MTcGH0bQm+4uXPlBRJn49xfBRywujb73Nvrg3zyxlaz3OVram9a+37rrRZvjazjUgzDuo5r5c7xvaL7mEC0DUsiZ98UXe1/Vffv1Vi4hNP/34U+zwhhiocke1iqEaEH0zzE//3cystmfrrbdsiM1q0HXq2Ml2/MRtXK7Txy2jkoYV4rq+tK0hWq0PqAzwlXGvuKbWVdtpevr119/My3Z8uSSVm22wwfruTwGJX3/9tS2zu9ncc+99bhNvvmU0AYjl8mOxHQgggAACCCCAAAIIIIAAAgURqLgIEle4Y98s9UlBiCowzTWVKvhQ27XIIm1rFWQed8JJruAhbrsVDHj5lVenjNp445o3/9Mf6F53/Sgz09bkFiYVyI689vpwkNm420bR51VtsGCYLrzoYlcTWjhMTcsMG35NOCilf/31ah4qaMRjjz1Razs0/JdffnVBavc/8KDR3/dBzR0aX6kpfFs5/U3/Qn8n7a++0F/LLmWBpQL9FJigYEPVlhcm1Xq0f9/9XHCeH+7fRs53Pi2nw1Id/OLMN998G/WHPR/aQu+4pGA6Bewq6a1i1TSUKakJ5e+++878GBTq6w1kfV/9pTcprWZaetiHY0cdNTBa5AcfZH9QHE2YsKfKbn++aY01VrfBxD+5v9G33upqYUhf1uOPPxEN6r711nkFH2oB9dnOaAPKsCf9epL+Oekmp8+X/jnpchpqugVsTaK+eWEF2mZKb7/9dqZRDTZ8/fVqHjC+NO7ljNuh66aOf/2pxhKfVglqV1BwVaakh26ZUmM5h/1mz4PpqT7n9vRlVfLnXPMACjzMt7llnT+KnQd4Knh4fPRRR5ptt+nugusVYJ/+d92110Q/nV5C8GmDLjVBIsoTKmg/LinAV7UQqRbhp5/JfIylN6cet6xw2Gqrrhp91INH5QHikvIzL71Uc27QtbNQyecfVHtqelJTdEOGDI4G//vf70b99DRtAeVdu/19n6YH6z4IPl1F+fAw0GO94HqXPq3/XN98cSmO64bOe3sruoUVWGCB+V0T5Vrq7bffGQWup7+c6de66aYbu14dA8OGjXD9qkl32WWW8ZPk1d3GBiAq6WWyffbeK1rGYYcf6e5vowFNrCdsUcG/2FsIgpT8in1hs1hJtfHfeefdZuillxmVrf38889ZV6VaOH1aepmlfa9Z3QbT+aRaOpXPzZRUjqX7hjB/4s/dmufRRx/PNKtRaxE+76MAJJ86deroerXfT5061fWn//fuezXbnj6uGJ9//z1+O/y6dt9tN9erIER9F9/8cq9eO5n555/fT0a3CQsU47quY155aSW9BHnyqafXajlkxowZ5sijj4l9UblYP0fc8TJ16h+uPFHHdXpadtllzZlnnO5q/dU4lbXETZc+H58RQAABBBBAAAEEEEAAAQQQqBSBigtAFGx9gxD1IDcsZM23NppcfmS9dZ+eDj5kgNEDX/+QUkFQjz8+1uzQs1dK0JSCQNSMpk96K9sHhmjY+7ZJ5yHnXWB++OEHN4kCGC8eemmth1dbbVVTALzWWmv5xbmuar05/4KL3JvMejD77LPPmQGHH5EyTfoH1ai4SRAYOeGdd8wZZw1OKcj/evJkc6StYeC0088wpw860/3pjdTGkrTv+BS+7e+HFaMbrrMYy09f5nXX32A27Lap6brRJjao9br00e5z+Ma+ry0s3/m0wJVXqalx7O577q21Tj0YuMTu45mSCr990sMlBRqmJ9XuuclmW5qtt+lh+h14UDRaNRrq++pvwGFH1ApC1IThQwfVAFDIpAfFzZo3y2uRnTt3NvpT+uCDD03f/Q8wjzzyqNEDl5fHjTMXXzzUPaTxC990s018b05dbZ+2s7GlYSNHpVwb9P10rdDwXFKhlpPLOgs9rWpAXHvt6uuEHi7pOpOedJ1Qjb7lllTDr5rxU9I1VbUKpCfV/Hn24HPd8a9zgJpU92nNNdbwvWbENSNja1BQLca+WcFo4qCnks9hYU0ScUEw9Tm3B0SNoje8HteVB1DeNQxazBcgXGe+y4ibb8z9D0SDVTtVtqSAEH9+UN5PL6worWkD+Tp2XM7165xx8SW1r9PKAx533Ikuj6oasTqvUH3NcjPZ/8KmC8fZ5otzSW3atIleiNCDvBNsQEL6iwRz5sw1J51yWhScqJcKFHBdiKSHjT7/0H2b7cyUKVNqLTbMA6uJURICXqBXz56+1x0jup9LTzfeeLN5/oUX3WDV8q3mQpOk+uSLS3FcN3TeO4kh0+QnsNlmm7oZw4BwNc0cl8Ia6vz0fv646fMZdvJJJ0RBkZO/+cZdD3RdaIop/YXGbC9L+WaXlY9Rf6YU3jNp2kLkezKtS/cqvXvvGY1WWZbKseKSrseXXnZFNKprly5Rv/IOO/+rl/usoKYTTjy5Vt5BI/Ui7Vbdt3P3DuFLuttus020LNXgGb7Q4Ucor3SBfeFX+epv7cuVHTrUvGwZvhgc5sX8vN9++525/obc7kX9vLl0w/LFul4w227bmu+svJ6vEX/noAwml3UzbeMTKNZ1Xa2t+H1VTYDv1/cAV5ugyiV03967zz5G9xfFTn4btJ644+WQ/gPcPcH6XTZyLaakb49e0pr6xx9usO6dwuWlT8tnBBBAAAEEEEAAAQQQQAABBCpNoKrSNthvry8w9YGEvuuH++nSuw0RfKhtUFMlahJVb2j7pELvo485zn/M2L3ogvPMQgstFI1XcIAKXhTU59O9940x+lPBRdzbk4NOP9W0bbuwn9xsusnGZs89do+afdCI226/w/1FEyXouejCC8w++/WNajR4+OFHjP4UlDVn9pxaTThvvdWWblyCRVfEJNrf/L6nt/21f9W1D+b6xWrts3adpUw72Qei14ysDjy86urhtqmTaaabbVZRBWXfffe9udk1lfWS2yQ9CPVNeec7nxa0YucVo6+oB606TnbbbVcbJDC/29cUAJOtVjY9RBg//i1X86aOs7323s/ssEMPs56ttXOurR1UzSCGBfmH9T80Wt+GXbu64CUVpCv44bjjTzQ77riDUc1Kqtno2eeeizw0k46lQqeWVS1jaxNNsp7zzxtiH5xU17CqGgmGnHd+7GyHHnKwreGq5uFB7EQZBmr7GlvScRbW2BF+v1yO7UItJ1x/Q/WvbQPVX331Nbf6Aw48xBx/3LFmFRsc/Pv/fjev2OHZAvAaapu1XgXHXnPNMLPLrnu4zbjIBt6+Z2sO6bbRRu68pQd5t99xZxRUqWAqXZt86tSpo2uqzwdPHdr/MHf+6bbhhmae/adgRV3nsqVKPoctu2xNrTCqrWXmjJmmq61VdjVbc7JqbKjPuT2bWSWOayx5AAUQvvvue+4nUADucsstW+fP8a9evaJ5Hnv8caMmxRQMMHLEcLPbHr1dXlT5Sl2HtrLH19JLd7AP6N6xzTyPjYL/1Cxmp04dU9al6XxSDcYDjzza1ca43HLLRUGPfnxc99RTTnYv0+glAwVI6/qvB+UrrrSie7nnmWeeMwoEUFI+5uyzavLSccvLZZjyKAr00vlBwTMDDh9o9t6rj1FQtNI7E/5tLrz4kmiR4QP8aCA9TVagV6+eZrytVXjMmPvd/tO7z96mZ88dzTrr/NO9+PKyvfaMffKpyGfkyOGxzdhGEwQ99ckXl+K4Loe8d8DV4L3HnDiozm3IFIzu8qy2uVylTPnaOhdewAk22rCrueLKmgWqjKBdu3Y1A4I+BYIpP/bsc89HQ8Pa5aKB9ehRbfZXXD7U5RF1nn7xxZfM8BHXmKOOPKIeS63cWbUf+bIM340ry1Ag4cAVal7Yi/vG6fdA2QIV4+bPZ9hO9hzpy9f0Qu2bb443/fr1tS/krWDat2/vWjn49NNPzbXX3RCVkam8TNfmMJ126sn2vuBDl0/Q/td3/wNdU8KqIVkvDjz19NPupSY/T1iTppptvvKKy6JyPZVb6Jy7+eab2XuS5uaNN8abBx962M9qDj74wJQX+cIXn3TPovX5IN0PP/zIBlVdG217tJAi9PgXSLRovaT18SefmlVtrfBdbdmI8jdhUgsvysMpAMwfry4oPqgJO5ye/qYnUKzruu5Fr71muKtFXarK0/t8vVfWvrjPPnsZlV0WK9V1vKis3d9bHTHwaDPwiMPMurYZeJXJ6/5m6KVXRMd1r51qXkAp1vayXAQQQAABBBBAAAEEEEAAAQRKKVCxAYhC8oWjvrBUXT8sE6Kf1s1vC1zrmj7TcvIZftCB/WzNLm3MuUPiA4LSl6kanEYMv9qEb0X7adSE0OTJ39hAqGv9INeNCz7s23dfs1ef3inT6YMKWvWA1heM1JrADjjzjEHmnHOHxI1yw1T4OOr6a82evfeOHihrhGrMSk+qLefiiy5IH1zxn9ML7juvsHzB3vavFXwY1LhYKrhOnTqaIw4/zD2c0TpvGHWj+1N/mFQIp8BYnzp1ym8+za9C7quvvNw2n3KsPrqaBNJrE+hpgwLVTJKvIcNN+Pd/elg6+OwzXe1DCiJUEKIePNitDydz/QrEC2uGUfDSmWcOMieedIorFNR609ftF6KHDWFtYX54fbutWlblHYCowJGbbxplC1yHuYdqv/76a8rmKKhsb9v82BZbbJ4yPJcP2r7GluKuDeHxN/GLrxJ95UItJ9HKijzRoYccZB+avekK9XVtibsW7LVXb9f8WZE3JefFr7LyyubGG64zBx5cHVysh5L6S096QHHD9SNNVVXqPt1v/77mk08/iwINFRCivzDp4eNYu8y4c1Aln8PCB0b6vnfdfY/700sUysd06pT/uV3La2ypMeQBHn3ssehnURBUkrRN962ic8K9944xA2wgv5pG0zVI+cI+e+/rFqOA3bCGUb/sdddZx5w56DT/MeouuOCC7oUB1V6qpAfb+lPt39eOrG6SM5o4pkfHnpqIVvCWXiRQTYxxNbjq2Nd2hi/4xCwu50EDDj3EBhq+4/IdygsPOuOs2GUcNuBQ9yAydiQDm6SAy7vagFg1I6qgKO2/ynPHJR0La6y+etyo2GH1yRdrgcU+rssh7x0LV8YDw/ym30w3zJaHlFNaffXVUl6QDF/4iNtOBW35gCaNX3+9deMmq9cwBUAOH3ZVdJ1SeYpeslBAVVNLvizM70++64cn9QjvmTSP8kbFrP3Qb5defLz/vntc8J/u95UnD2s69NP5rl4KHjH8KqOWPMKkmpB1P7D77r3dMuKCmvz014y4utbLE9tu093oBYgLLrzITaaAwzDo0M+7V5893UvA/rO6G9kXO/fvu59R7YlKetFSf2EKx4fDC9m/kw2CGmVr2VWSo2qTU7rrjttiXwBReaQCEH3addddUgIr/XC6TVOgmNf19ex14aYbbzBX2wDfZYVjAABAAElEQVTD9OBDtRw08IjD7YvErxQVvq7jZYfte5gn7UsjugdSOYqCi+PSlrZMLgxojpuGYQgggAACCCCAAAIIIIAAAghUmkDzStvg9O1V4agKOJV8N32a8LOfRt1cC1bD5eTbr7et777zdlNX83YKrnrg/ntjgw/9uvWmvgpKw2aQ/Th1VTCjwvVTTz7JPRQOx6m/devWZthVV5g+QdM1fhq9ia3Cxo033sgPct0WLVKDNDRwqaWWMrffNjpquiZlBvtBtUudf9655vZbbylKsFb6+kr9WftRWMDuml+1tanVN1XXYFHzEEnrKMU+q5oh0pPe2L31lptiC5/1++67z95mzL13m5VsDUNhync+LUMPgYZecpFt0nGNcJGuXwGR555zdjQ8PXhII/Q9Lr9sqFGAYVyTJjo+FKB07DFHRcvxPSoIfPjBMW4b0ufVZ23bk2Mfc7Uy+XkK2VUQR6tWtX+HpOvQNuohyNgnHrMBUo+b622QhY7RV8a9ZK67bmT9gg/tdmn7GnPyx5nv6rvmU4uMn993811OrtaqbcMnFf7nm1QTjR6y6XqkYJ0w+WvE2muuFQ2uSltX87+3I/2cEu4/LdMC/6KFZejxy8wwOmWwHujdNOr62CYqdYyoxrZHH3nQ1eqXMqP94ANB+h9a+/whCwXnn3rKSemzpXyu1HOYfvdbbh5lFISZfv7zX7A+53a/jMbS1fFd6XmARx97PPo5ktaMu9hii0X5TwVKffzxJ9Ey9MLJHbePdkGD0cC/e/SywsEHHWgfHF6fsRass888w9VCqvxFXKoK8qLp5x1Nr4CE0aNvMrvZh+FxSTWN3Dr6Zpd/TR8fnj+bN6s5l6ZP589dbWxeOkydOnU0D9n8g4IFfFPw4Xif9zjqyIGuZqRwHP3lJ9AiyO80T7vGJd3apPuUlqdr9uWXXmIOG9A/9vyrmsZ176eA3FxTffLFWlexj+uGznvn6lno6X0ZRaGXm2R5xVy39umwtvhNNsm+76q2ap8UqK6g9EwpPLbS87vhtSG8ZvhlaX8+d/DZ/qN76c03ex5OHy4nmriR9SgfE+4DCkJUeUbSe5+44MPw3qfYXHpZ975773JlUZnyrcq7K09w9523mWWXWSZ2k3TN1v1y+GJiOKGGP/boQ2aLzeNf4uu73z5GLZcoyDE96b7pvCHnuPuH9PsiTXvSiccb3XOEtappuLZby9zbvvDlU/Pmqfd2Se+N6tqvV15pJXObzRvtsEMPv6qsXZVBht66XyRVnkB47myRx76le2afwmVpWL7X9Wzndr+uDW3t/Lffdot547Vx5qEHxpixjz9q3n93gjln8FnuPmD69Ol+UndfH32wPf6YiTsW/XRVVTXHWVxZY13Hi+6nR9qaGlXTevpxrXVofr28rfL6bNc5vz10EUAAAQQQQAABBBBAAAEEEKgkgWbTps+cV0kb3Ji2VTVcfPHll+aH73+wb0X+ZQvw/uEexq611pophXlJvvPvv/9uvv9By/nTBfmpAHXhhWuaXK5rGdOnzzDff/+9mWObp13CzpvezEpd8/vx06ZNc9uhpmrnm28+s3SHDmb++ef3oxt1N72gvj5BrukF+YK74pLMNVGWEnbOnLnm2+++NfqtO9jg06S/b77z6bupAPE/thnH+WxBngJe4woBsxlov54yZYpr0kiFgUst1d4F4GabJxyneX/++b/2+FzMKOiiFGnevHlmqj0vGNstm2QLmBew56mwoLlstq2eGxIev/7YTT8OkxyDhVpOPb9OUWaf/M03Zpptgl21hhS61rCibHCw0KlTp5offvjRzJ031yy26KJmUfuXNM2aNctdH3/77X/u+qjgJn8MbLLpFq6WED0k10OQTKlSz2E6d/7111/2NDTP5gsWiL53+D3rc24Pl1Pp/eGxr+/izyP5fK/0c4+WkeT8k8+6ij3PH3/8UX3szZ1rlllmaZc3TLpOdx20x66ON9U2nP5gM8lyZsyYYZtg/NH88cefNr/yf/ah5OJG+YBSpalT/zDfff9dlCcOA7BLtQ2lWk/YbGy2/TXpdEm2u5DLSrK+Uk7j8q72XvG3334zCgpYckndny2QcRNUq/3Ou+zuxivA/siBh2ectr754lIc1w2R984IVmYjFBg2cdIXUdO56Zun608ha+RPXz6fG6dAXN4jW14m1+lLpfbjjz+Zzz7/3N37655lpRVXzPjCQ6ZtUtnYTz/96MroFlpoQZv/XzLxSwPKu6gZ5Sk/T3EvRCrgMZeyC837gy3X072Kyh78PUembS3GcOWd9Kc8S6ayHpX3bdhtU7d6Na2ul1Ebe2rMeY5S/HaFuK6rzFr35kpL2xeVMuWrVQP5mPsfcNO9+forWfNPbqJ6/JfkeNE039iyFHtAuxf0W7VqVY81MisCCCCAAAIIIIAAAggggAAC5S1Quzq78t7eRrV1CmQqVDCT3pqsz5uTbdq0rtWUTD7YCjpcvlOnfGat+Hl6bLOVGTZpVPQ9fBNGGpC0FoDqWg+fS6lxwNV8aJddLklvJGeqOSDbNuY7n5apYAG9JZxvUtDCkksu6f7yWYaa6tJfKZMeNrRp3coGX84o5Wqzrkvb0xAPQbJuVIFGdl6+Y3Tc6dgNj1+tQg/gkqRCLSfJuko9TabayEq9HfmsT0Eb2QI3si1TtSMsu+yy9i/bVNnHVeo5TOfOutzqc27PrlZZY5tKHiDXX0UPrjt3zu9FFF1v6pO31baqtm8dvw2V9ELPygvkn39pqO1mvQ0v4PKu9qWwuJo047Zu/Pi3osGLLppaa3E04u+e+uaLS3FcN0TeO92pXD/r3rD6b3lXU124nQMHHJRSK284jn4Esgn48orwHkj9E7/4yt4HbRXtV3GBh1putmDFbOst9DgFHaY3sZzrOlQ2lm/eQXmXRRZp6/5yXa+mb9t2YfeXz7yFmkd5J/1lSyNs0+U+HXhAP9/bZLphMGIpvnS5HF/1+a6FuK5fZZtd9s2bq7ZotQqUnt5+e0IUfKiax+u6l02fP9fPSY4XTRNXO2qu62J6BBBAAAEEEEAAAQQQQAABBCpBgADESviV2MaKENCDINX4EtaC5AvwVXCvwCTVRqGkaZV800Zjn34u5bP7YP/TdHqQRGqaAq1s4NNcW2vUzJnVb3k3pIKahNb2NNakh246Tv0xGX5PHYf+oVw4PK6/UMuJWzbDEECgfAXIA5Tvb8OWNU6BuOt14/ym2b/VW2+9bcY++VT0QF5Tr9i5c/aZGNsoBPx9or+PDIPEGsUX5EuUXED3MSqv0D7lz7Hq6iVL7W9+WLhh7j4pCFAMx9HfuATUgouaKn/xpZfM6NG3uS+nF9R6bLdt4/qiZfhtVK6YtDyiDDe/YJu0//77Rfmda2wQ7OcTJ5p1/rm2fdmps/nD1jr+6uuvmzFj7o/Wt8P2yZoUj2agBwEEEEAAAQQQQAABBBBAAAEE6i1AE8z1JmQBCNQWyFQzQO0pMw9pDG85Z/52jMlF4K9p083s2bNzmaWg06rZqH/MV7omKwu68TkuLDx29UBNgcP5FPYXajk5bj6Tl1ggaRPMJd4sVtfAAuHxn++mkAfIV475GkogfAGn1NvgA7FKvd5yWN+RRx9rnnnm2WhTumywgbn5phsabY3V0RelBwEEiiqQJC9DXqWoP0HZLbz/gMPNSy+PS9mukSOGmc033yxlWGP9kOSYKNZ351irkR016iYz9LLLawZk6Dtj0Glm7736ZBjLYAQQQAABBBBAAAEEEEAAAQQQKJYAAYjFkmW5CFiBfAopKVxk14kTaKggxKYUfBjnzjAEsgnsvMvuRrWBrLPuOubqK+t+EJJtWYxrfALkARrfb8o3yizgaskaOSrzBEUc05Tzzsced4KrAVG1UPXsuaM5oN/+trnB/Jo9L+JPxKIRQKBCBeLyMk35nFuhP2NBNjsMQFRzsucMPtOsu846BVk2C0EgF4FPP/vMXG2bY/7ww4/MDz/+GM3aseNy5p9rr2123WVns8EG60fD6UEAAQQQQAABBBBAAAEEEEAAgdIJEIBYOmvW1IQFVHCvpCZeXdc2ZaSkGlt8otksL0E3k8D0GTNK2hyzml1u07p1ps1hOAIIIIBAAgHyAAmQmKRRCGhfV143rpnOYnxBmv40Zs6cOZa2mWnRonkxiFkmAggg4AT8eT0sv4CmaQn88suvZuasmWaRtm1Nq1atmtaX59uWrcBff/3lXghcfPHFTZs2TaPVjrL9MdgwBBBAAAEEEEAAAQQQQAABBKwAAYjsBggggEAFCcycNctMnzHTmHnzirfVzZrZwMNWplXLlsVbB0tGAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQqHgBAhAr/ifkCyCAQFMTmGeDD2fMnFmU2hBV62FrW6NBMxuESEIAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIJs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XM40AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggIAlcOnyZbl06bJcNu9XrlyRK1evylXz0pIiRQpJqa+UKSVVqlSSOrV5mXcKAggggAACCCRdAQIQk+5nF6Wez5ozT2bN+SlK23hX1sBFO3iRIERvHeYRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB61NAAw3PX7goFy9dNEGH4cGGviQ0EPGyvkz9i5cuiZwXE4yYQtKkTiPp0qaxAhN9bccyBBBAAAEEEEi8AgQgJt7PJlZ7tmVb9LIe+uqEHchIEKIvHZYhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC14eABhSeO3/eCj6M7hFrwOL5CxeslwYhpk+XzsqUGN322A4BBBBAAAEE4leAAMT49U6wvdmZC7UD40YMCrkfbdt3c+o2blTXyaJIEKLDwgQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBw3QlcuHhRzp477wyvHBsAmkXxwsVLkiF9OkmbJk1sNEkbCCCAAAIIIBDHAgQgxjFwcmreznhoBx/a7/by5HSsHAsCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCMSPwOnTp50dpUiRQjJmzOjMM5E4Bc6eOxejrIeBjkqzKp45e04uX75sAhHTB6rKOgQQQAABBBBIBAIEICaCDyEpdcEONrSDD+13e3liO5Zz5ofvFfMDNaU5UUkfjR+nZ86etQ5Jn65JnTr4P5ddu3fL33/vkH3798uZ02ckd+5cUrhwISlfrqykSpUqII+9r4CVXCvTpU3r0aZ9rCkkhWTIENoP8UuXLpkniC5arWbMkMHVeuTJi6be339vl782bZZjx49LieLFpHSpkpIjR47IlV1L7H65FgWcTGOc0/A0U0AjViKAAAIIRF9Ah/H4e/tOOXLkmBz75x/r4lW2G7NKqRLFJGvWLNFvmC0dATXWC4R6oVh/r0S16HAtWvS3V+ogv590P9t37pZDh47I0WPHre2yZcsqYYUKSv58N1nz/v5z5coV53eQvzrey3XoF3dxjtX8/kqXLrRjvWQumupvMC3e7bnb1mmtt3ffAdmxa7ecOHFKChbIJ0UKFwz6XbX75d2ev3l1DuW3rr/tWY4AAggggAACCCCAAAIIxKbARZP16vKVy06Tem6p55hxVbr07Cd6HfuWsMLS4eXn42o3tIsAAgEEdu/ZI3ffU9+jxu8rl0i2bNk8ljGTeAROnzkrF69d44rLXmk2RB2eOVPGwPcx47IPtI0AAggggAACwQWCR1QFb4Ma15mAHWxoBx/a7/byxMRxT91GcvDgQcmbN68sXfRLlLq2d+8+qVmrrrVN88cflbf69/W7/YqVq2TsuA9kwa8LfdbRIL3uXTtJs6YP+Vzv3pfPCj4WDhsySB58oImzxj5WXTDzu+lStkxpZ52/iXeHvifvj59grf557vdSpEhYpKpHjx6Tbq/1lPm//BppnS5Q2z5v9JQG9cOtvCu5++W9ztf8Y480lbcH9ve1imUIIIAAAghEW+CMuSA2a848WfDbUnPB6orPdjRorU3rlqIBiZToC3Q1N27On79gBeQNH9wvSg0dOnxUevcfbG1TsXwZaftcK5/ba+DhL78uljnzfpGTJ0/5rJM1yw3S+uknpHjRIj7XL1y8XCZ/9a3Pdf4W9n29s+QxD5jYxT5Wne/S4UW5pUhhe5Xf94lTvpYly1ZZ63t17yD5bo4cKPnvf//JmPGfyu49+3y2o8GOjz/yoFS7vZLP9e5++azgtbBc2VLyUpunvZYyiwACCCCAAAIIIIAAAgjEv8Bp82B/9zcGiAYh2uXlts9I2dIl7dlYf9d96rWCk6d8n1/G+g5pEIEEFBg46F2Z/nXw6yFZzHWVfPlulvJly0qjRg1CuucUk8O6agLMvIu/a3je9ZiPf4H4Cj60j0wDHXWfBCHaIrwjgAACCCCQ+ARSJr4u0aOkIKDBho0bRQScaRCi3tRPTuWqRJzs6E1uf+Wzz7+Ux5o/6Tf4ULc7duyYdOnWQ3r37e9kvHG3596Xe3mg6QBdkvYdOslZk5Y8WHG34esY16//Uxre94Df4ENtXwM827b7n7zz7lArDXqwfQZb71/a95Z/bthoPRWnT8Z9OXGy70oxWKqp3WvXa2Tto3PX12LQEpsigAACCCSUwLHj/0jft4bIfBOwFujCpWaZe6PfO7LVZDNOqkWPr9NrfaVjt94ycuxHSfAwIn4JaBZrX0VvQo0YM0Gmfj3Tb/ChbvffiZMydMT78vOCRb6aEZOm0ffyAEsDbTLmg0+twMsAm1ur3BfUfbW3zXz/er35jt/gQ21EAzw//WKqfD5pWsDvdLC+OOt9dcRZGXniBxP4qd8xfWlG0dgu2qbdvu6LggACCCCAAAIIIIAAAtePwCdfTvUIPtQjj+Ipy/WDxZEiEA2Bf//917pnpfetAr127NgpixYtkTHjxsv9DzSVdi+/YtWPxi7ZJJkJ6LDL8ZH50JtN96n7piCAAAIIIIBA4hRInTi7Ra+SgoCd8dDOgLhl2/ak0O1Y7eNnX0y0ggrtRosVvUXavdhGSpUsKalSp5K//tosixcvkSlfTbeqaLDiX5s2yeefTDBZgTyH8LPb0MyFTZo0tmf9vpcrV8bvOj0xfHfoMOnVM/oBc/v3H5AmDz3i7CMsrLD876UXpag5Rn3yTYeanvfTzzJ5yldWHc0AmTNHTnn2Gd+ZirRSj9e6WnUD/adkieKBVkdad9Y88aSp+bX8Y06c46Kop5b8+fNZ7/wHAQQQQCDpCGjmwzcHDvUIDKt0a3m5s2plyZE9uzVs7/Ydu+SXhYut4H0NbhsyfJw82+pxub3yrUnnQF091cwNWuLq76JrVwkyOXzMh6JBenbRYYnr17lbbr4pj5wxD2DsMEMyL12+SvYfOGRV+coEKu7bf1BaPdHM3iTSe9FbwqSYeQUrWbJk9ltF3b+cMt18d5r7rRNsxRGTefpd8/2zS6ZMGa2HfgqY3yCZzbQOx7xi9R+ybv1Gq8ripSvlRjN0+P33eg5RZG+v743q13bP+pxWw6iUk6dOOw+72ENmR2X7YHW1TfthGt0XBQEEEEAAAQQQQAABBK4PgTVr/5T1f/51fRwsR4lAEhOY88Nc2bR5i3w7fap1jyiJdZ/uxpLAhYsXRYdETqii+06VKpWkTZMmobrAfhFAAAEEEEDAjwABiH5gWBwuULxYEdmyNTywsG37bgFZ7HoBKyWjlRqg17tPxLCCT7ZoLr3f6Gn98LUPs+gtt8j9je+V+vXrWVkJT58+LStXrpZPPv1CXmjT2q7m8V62bBl5vvUzHsuiM/PRx59J7Vq1pHr1atHZXD7/cqKzXb26dWT4sHclQ4b0zrJCBQtK7Xvullp332VlQNQVk6dM9RuAqEM1x8ZxOR1gAgEEEEAAgRAEJk/7zgk+TJkypXTt2E4KFyrgbJk3Ty4zjFMJqVOrhoz98DMnsO0Tk12uTKkSogFglMQjsGzFaucz0l41N8MQ313T87dOUTMMsn6eX3/3vfz0y29W55csWyl3mIDSEsVv8XkwVW6rEKkdnxWDLFyx6g+5rWJ50eGjo1PmzI3I9qdDgnd4+XlrKGu7rbx5cktl09elxkEzIGrRoaT9BSDqUM0PNG5gb847AggggAACCCCAAAIIIJBoBc6cPSuffDHF6Z8+OLhk2SpnngkEEIgbgUyZMkkNr/tIx44dN8k0Nove03IXTdbQ583+MvTdQe7FTF8nAjqS2tlz5xP8aLUPaVKnlhQpUiR4X+gAAggggAACCEQIMARzhAVTPgQaN4wYZtnH6ut60fCRo53j1wC9vn16eQQfOivNhAbquU/IRo4eGyvDFbv34Wv6lVe7yL///udrVdBl69b96dRp89wzHsGHzgoz0aB+XalR405r0dZtf5usj5vcq+Ns+qJ5yurUqVNy0rzscs5kPdJl+jpvMudouXDhgrNMt/FXNMuOva0OX6lDL4fPR5xgu9vSC2IUBBBAAIHELXDw0GFZsWqN08mO/2vjEXzorDATGmjYqf0LktVk+dWifwsW/LbUmrb/o1nZNKPiefO3xS7nzLAf6zdsknUmQ8Ml87fDu+iFuSNHjskGkxVZ6+w/cDBKvwEumaFF9uzdL5oFQo9H2/NVtL/at9PmZRcdlkSX6StQljo9hp279lj70MyCJ05G/G2120oM73rsk7761unKvQ3q+A0a1GDTZg819shi+d3sH51t43JiwqcTAw4NHWjfO80w4Ha5/756HsGH9nJ9r3Z7Jcl3c15r0UnzeWnWx/goOvSzfp8umHe76G8o+3umv5+0aCZRe5l+h/0Vuz2tq5+v1tVpO/uhbqf7stu6kIBP2Ps7BpYjgAACCCCAAAIIIIBA7AhM/iriAcIH728kuXPlip2Gr7Vy+swZ2bZ9p3XuG9Vzc7sjoZ6j29cP9Hw7UNHzIPt8R8+jfBU9b9pqztX12sM/0bzW76vdUI/F17Y6AsDf1yz3mUQN9rmg1rWP3X3txFcbely7du+1Po+/Nm+1rp34qseyuBeoUrmSjBsz0uP11ZQvZe3vy6Vv79cjdeCbb2fI4cNHIi1nQfIX0H/f/q5NxufRax8CXeuMz76wLwQQQAABBBCIECADYoQFUz4Eihe7xRr2TYdXvt4yHPrgcBZpINvs739w5nuaoYWDPWlTt849UrJkCdl07amxP//cIBUqlHfaiK2JsLDCUr5cWfluxiw5duyYvP5GXxk1YmiUmz/lerJNsxcGKoPfHiB79+6zqhQsGJFVKtA2MV33zuCh8uFHn3g0M3rs+6IvLZqZ8eMJ78uXEyfLm/0HWssqV7pNJk/8LFKg6JEjR+Weug2dp/mWLl4g+vk8/8JL1nb2f1at/l3KVaxiz8qObQwH4mAwgQACCCRCAc1GZ5dyZUsFHWJX/5Y//MB98vHnk63N1q7fIPc1rGM3Ia9262MFJubPd5O80PpJGTXuIzl0+Kiz/u1+PcxwuFmd+VW/rxUd/ve/EyedZTqhWel0WNyG9e7xWO6e0aBDDWQ7eCjyBV0dLrftc60ke7YbnU10Xx99Ft5ve6EGPr7avY89K+NGeD6drkPbTjEZInVb76JDErd8vKlohsjEUvTmht6g0KJZme9tUDto1x68v6EThKpDbWuQaGozTEtsFw1gLZDvZtm0ZZsVfPfBx1/KqyagNarlnOspch0iPFB58fmn5LD5DaMlTzx9Tm/0eyfS9/nDTyKyZut3Ws1/mPeLzP7hJ6tvuXLlkL49O4sGhbqL3jjr2edt69+ULh/Qp7vMmD1Xlq/83V1Nfluy3HrpwgL5b5aeXV/xWM8MAggggAACCCCAAAIIJH0BvfdgP0CYJ3dOaVD3bvnxp19j5cA0wO/zydNlzR/rPdrTc5SHmjSyMuh7rPAxE9VzdD3X0SA9Le8M6CVZbsjso1WxzscnfDrJWndn1SrS6olmTr2Nm7bI5xOnRQo61H7XrV1THmzcMNJ5lrNxgImoHou7Kb1n8Jnp07r1G92LrX48/MC9lqV97UQfmuvVvaNHPZ3RNiZN/VZWr1kXad0NxkmPq3q1iGvwkSqxIN4EdJjbVk+2sJJAvDvkPY/9Llu+Qprcf5/HMntm+/Yd8v0PP8ou85CljiSmGRYLmGtZ5cqWlYYN6kn69BEjbdnbROddE0bMnfez/PHHWtm9Z691f+fmm28y1w7yS6NGDaRYUd+jYHjvS/u43twP2rptm2zZstX8m/tXShQrZt3PK1E8/D1NCMP96r0/HaJ685Yt5j7gFsmYMaOUKllcihcvLmXLlBbtW7CigXUrVq6ShQsXmQeS95rA3KOSI0cOy69mjepS9Y7bQ/p3r8e0YeNGqx/6rvc0S5QwfdHjMu96rzKqRR9+jq2hl/fu2yfnr10DK1Agv6RNmzaq3bH6ks5s5329KcoNsQECCCCAAAIIxJoAAYixRpl8G2rcqF7Agws2NHPAjZPoypWrVjvBavpDvZAZIi9Y0R/BGhB32GQv0lKoUKFgm0R7fd/evWTR4qVWAOLs7+eIBj8++MD9UWrvdvPU27p14Rdlpk6bLq92aO93ew1QDBak6HfjaK4I9SkrPUGeOet7c4FprWgA4aTJU6WlGS7bXfoNGOh8ngP69THBFnlk/fqIDJDuukwjgAACCCQdgZW/RwQg3l6pYkgdv71yRcmePTywL62fi4v6FP+wkePl+D//+m1TMxa6A7PcFTWI7tuZP5gMAVc8AhztOr+azIvuTH/2cvt995590vetIdKlQzvRYEgt5vpklIpmOhg28n2TkfGQz+00E+KgoaOk7+td/N4o8blhHC5c5bo5UbFcGUlthloJVjRIs2e3V8QO7IvLgVlaP/2E9Oj9lhWAqA/v6OfoPTx0sP4WK1rECcD7ecFv8sSjD/ndJGeO7KKv+CxXgnzR7N9nGhyqgYRHzZBNGgj7408LrKBbd18/+XyKE3yo2U1yZM+WKJ6id/eRaQQQQAABBBBAAAEEEIh7AX1QTB/As0ubZ58M+rC/XTfYuwbMjBz7kexwZZu3t9F107+d7TzYZS/3fo/OOfodlW+V+b8utppatfoPqV2rhnez1vyyFREPYN15RyWnzpy58+W7WT868+4J7fdcE5z5p8mI2MM8oBWVh+yicyz2vvU6wtARvq8jaJ+mfaMJEf6xq/t81+spg4eN8XiY011RM/x/PmmaXDX/q1HtdvcqphNQ4NFmTcU7APGAGeHDu/zzzz/S7bVeMu+nn71XOfOvv5FJ3jSjiT380APOsuhMzJg5W3q83tu5r+PdxrDhI60kFYMHvSU5c+bwXm3Na+bO9z+YIIPfHRZp/aJFS5xlt1asIOPHjfbbjo6kpX3R+1De5fs5rkQmPbrJs0+38hswt2HjX9LRjGqmI435KuPe/1DCwgrL8KGDpZxJQuKr6L/F8R98JIMGD4m0ev4vEUHdDz3YRPr1fcMKDo1U0c+C2Ag+1JHLRo4cYxKHhAde666++PwTKWMCNKNTtE8Z0qeLzqZsgwACCCCAAAJxIBD8rl0c7JQmEUjqAtv+3u4cgj65FGrRwDZ9xXXJmjWLDB/2rrRs9Yy1K82CeHuVyiE9YWX3rYqpb2cYHDlqrBU4+fRTT0brySi7zdh8f84MC/1Ak8byhwmSfKP3m1bTjz3SVFo88bg1nSVLFutdn9IbNuQdqVWngTXfy9TVgEw7YHLBrwudE0PNmtj88UetetWq3iEzvvnKypT0cLPwNjXY9J2B/a31KeMge5LVMP9BAAEEEIg1AQ18sotmTgulaBbEYib7X6Bit6tP5le+tYIUCSto/b3IbJ7o1qJDCL0/4XOnCQ1qLF+2tPU070YzFPPCxcutwKuZ388VzexQ+bYKTl0NTpwyfYYzX+nW8lLBBNvdfFMeOXb8H5k1Z541JLPWmzj1G+nasZ1Vt1yZktL5lbZWUOOwUeOtZTqc9PPPtLCmU7iyz2mQmPbPDj7MdmNWqXHnHdZx7923XxYvWyn79h+0hsEdMnysvN6to6RJk/CnDRp4aZeCBfPZk0HfNTNhfJQbMmeS555uIWM/+NTanX6OpUsVl1x+LnT76lOpEkWdAMSFi5ZZmS7uM0NNFy4UPxmmffXJvax9u9bWE+o//vyryQ4Qngn6gcYmq8C1fzP2servr3ZtnpY3Bw61NtcbZ1VMELAdMKmZLjZvDb+grv82NbuJFm3rrup3WMOL2TfbNHtpgzrh6zXTJAUBBBBAAAEEEEAAAQSSl8BMkwndHjmgXu27RDPnxVaZas7L7OBDTRBQ9fZK5hy7tGgwnT44qCMC/GbO0f2V6J6j1zTnNXYA4tIVq30GIF4wgTMbzDUCLXquoyMRaNGhou3zIZ3XLI163UDP5XWoYn2gUbMr6jn9CvPgl2ZODKVE91jstsebTP/2dQS9RlDtjspSrkwpK7PaOnN+qBksf1kYHnRpb+N+18AoDQa1R5LQayrVzOdRplQJOW4yzq1dt9Fc6w9PCvDFpOmS1Vzf12sdlIQXyG4eGPQup8+c9li0e88eebJVa5OJcI/Hcu+Z0yYDZqcu3WXHzl3SqaP/pBfe27nnR5gANg0wDFb03s/9DzaTyV9+GimJyNmz5+TRx1uYQF7PbJ6+2tTkFtrOpx9/YDIIFvWostMcx1PPPB/0uHWjAW8NkqVLl1nBjHrdxF20r8+0fsG9yOf0jh07pclDj8iE8WOldu1aHnX0mNq9/IpoW8GKDqO9evUamTLpM+deWbBtLl66GKxKwPVbt26T7q/1lO3bdwSsF5WV2qcMQgBiVMyoiwACCCCAQFwKJPydxLg8OtpGII4EdGhju0QnVbm9ra/3P9aukzHjwgMHfK3XZXrybQfa+atT/c6q8nzrZ+SDCR9bT4HpSd0Xn30Uafhhf9vXqV1LNKBvylfTrSr6rq+wsMJyT627pGKFClKlSqWQAyoPHjwY9Lh0R0+ZjIWakj9YsYM57YxGWj+/SdXu68kvzVD5Vv++1lNoWu+NPv3NSd4oOXP2rLzWs7cusvY58K03nadrM2fObLWlT8HZJXu2bD7bt9fzjgACCCCQeAT0wrq75M6V0z0b42kdBrlT+7bWcMruxvSC+nujP3AWPfLw/dYQRPaC8iaYSodfsYPUdNjk2yqWc55+1sAsbUPLnVUrm+GXHrE3tbIdli1dQl7vO8gKTNu5a49VV2+iZMyYwbpZYW+rG7lvYDiNmIlfTWDbepMpQYte8H+9ewfJZIaF0VK8WBG5q2Y1GTh4hBWEqDcG5ppgM/dQ1FbFBPjPSfNEuV1iO6hwublRotn6AhUNAtSA0EBFb2TpDa1l5gaTfhaj3/9Y3njtVefzDbStrrvdZMlYbYYFs4P79F1f+lmWMcGMmiGxtPn+aLbAUIr+O9CMHsFKI5OxMGOGDMGqWcNMa6U16zY4dfXfgn2jzFloJjRoVm+UfTNjjrV4wieTpFunl+Scedr9s4lfWcv0u6vDiWvgrxY9Ln1pVgy76L9dX+3b63lHAAEEEEAAAQQQQACBpCug55yaMV2Lnp/qQ0mxVfThwAUmM71d/vfis1KqRDF71jq/04cFP/pskrPMeyK65+g35c1jPXCox6dDHp8wmf2ymONzl3V/RgQ+ubP9rfkjYmSe+xrWNQ9s1XI2q2keHixkroEPfm+MlX1/xao/Qg5AjO6x6M43b/nbY9jlzq+8KIUK5nf6pdc1Kt9WXkaN+9hZ5j0x9+eFoqMtaEmXLq306tZBspgHJ+2iwYg/zFtgAizDzyH1usl777xpHuZMY1fhPYEE9h84EGnPN98UPiKHrtB7KJ06d/cZhFe50m1y+PCRSOtGjR4rlW6raGUpjNR4gAW/LvzNZ/ChDlOsQy7r0NDuovelOnbqKl9N+dLj3tjMWbN9Bh9qG5qVVQP93EXb0cDHUSPCH7S01/Uzo2t5B13eWa2quX9W3hpCWbMOatClXXR+2bIVUr16NXuRCco9LC+3f9WZtyf0PlmF8uVMcO56jzZ0ffuOneXned+b/5/JbVeXL0xWQe/gw7CwwlLnnlrWtRgd1tndV52eaEYMCzT6md24mly5ctWejdK7Xh+bbPYz+F1Puyg14qey9kn7FpVMsH6aYjECCCCAAAIIxIIAAYixgEgT15/AkSNHnYP2fuLJWRHNiU2bNou+AhXN3hcsAFG3f9U8QaYnHJqyXU+8Pv70c3nu2acDNe2s0yewBpigvfTmZvSnn33hLNcTL/fJV40ad8ojTR+WenXrSIYM6Z16viZ8pbL3rnd/43tDCkD03i7Y/OOPPSJz5/1seegQAHN++NE6cdMTRy0DB7wZcjBlsH2xHgEEEEAg4QVOnDzpdEKH4dVAp9gsbVs/GSn4UNvXoXf1iWMt+hR/HR/DLGmQmmYoWGIyDepFuAMHDzsZHjToUF/+iv59Lm+212GTdFvNVBhqdke7zUVLIrI7dHy5jRN8aK/Xi3YdzPIuPcIzDP+9fae9KkHfT5yI+Eztoadjq0Pbd+wSfQUqmokvWACibt/80QetLBY6dNTBQ0dk5vfzQr6Jpt/TF01AngamaiYOu2h2C72xpC8tmhHk7hrV5I4qt/n8Htrb6fu8+cGffK9x5+0hBSC62w1lur7JXKjHoTfcNOuIfue3me+THSCsVqEGU4ayP+oggAACCCCAAAIIIIBA0hL42BX81/qp5pI6dezdstpuMpPZpb7Juu4OPrSX64gFf23aIpql0FeJyTn6XdWryldmWGItq9eslXvuqu6xC31wzS56TmaXf/79z540Hp5Z0nSFPgQ2csgAp06oEzE5Fj2Ps4s+aOkOPrSXly1dUhrVry06fLSvsnT5Smfxy22f9Qg+tFc0rFdLdOQIvbai1zw0SNM9aoRdj/f4FRgzNnLCjLCwwk4npn39raxa/bszrxMtWzSX7l07Ofd6/jajij32RCszTPcxp54mh1i88OeQr9lZgY5dXnO21wkN0vvSJN6oYAL+tOgQv5rgQ4MF7aIZDL+bMcsZ9lm/W+PGf2ivtt7vqllDRo8cJpqYQss+M0LIiFFjZOq1BB26TO+1aR/s7IUaWOge1ljrdO/aWV5o01onraLZVpu3eMrDZ9KUrzwCEN8eNCRSgKEOHa3DJOu+tL+/LPhVnmsTPgqKNqz71mGxtZ5dZs0OD9615/WenQZMpk2b1l5kDc2sQznbZeKkqdL+5XZB/7/30qWIRB32tqG+Hz16zCP4sGeP7pbHjz/ODbWJgPW0bwQgBiRiJQIIIIAAAvEmELt3YuOt2+wIgYQVcAcx6I//+C5p04T21F/69OllxHtDnO5pivdgwY1OZTOhJzd93ugpK5ctkr69X/c5/PKiRUvkFfO01eMtWsl//51wbx6t6dSpYu8ik7sDmlnn7YH9nBPeLt16yvvjJ1hV7ru3kWjgIwUBBBBAAIFQBDQbna/hZ3TbDRs3O01oxjp/pXjRMGeVPRyUsyDAhPfvDr2wGpWi2+/dF/7kug6ZpFnqfBUdTlizT2iJSv98tRVbyzx+f5mhp+K7pEoZ+caPrz6kMxd2X2rztLNKb75otspQix7nc08/IW/36yH331vPZL6+IdKmGniqQ3D3fWuInDwV8SR9pIohLnDbhrhJSNX099eLzz/l3Ez4YvLXJghxlbVtcZPNUbN3UBBAAAEEEEAAAQQQQOD6FFi+co3sNFkKtVQsX1ZKFi8aqxA7dkach1W+tYLftquYIMTolkDn6Jod3y72eZA9r8Mv/3nt+oE+YJYrZw57lei5kl10KGYNYtRMinFdAh2L+8FEHdnBX7m1QlmfqzRoyz4GPf8sdm24aV+Vb3ONPLBpyzZfVVgWDwIXzMgEW8yQuZ27viaTTcCcu4SFFRbNbGiXadO+tiet91p332XdV3KPdHXLLUWsIYzdFTU5hAYHhlo0c6A7gFG3+3D8GCf4UOfTpUsnHdq/LA8+0ERnnfLNdzOcaf2uP9qsqXTp3NF6devSyQrUs4MPtWK+fDdL7149nG10QoP+tmzZ6iw7cC25hbPATDRsUM89awX2jRw+RPr26eW86tap5dQ5aR6g/tbVN13RuVMHadb0ISfQUf/N1Kl9j5VEw9nQTEyb/o3zELQu1yBPd6lfr45H8KGu69TxFRnQr4/Tl/b/aycXLgYfWln/Dce0FDPDV0+fNkWaNXvYXCdKEdPmnO1jo29OY0wggAACCCCAQIwE4ibSJ0ZdYmMEEr9ATtcFAT0Ju/uumrHWaR32eOBb/QK2Zw9TF7DStZU6RHSP17rKWwPfsZa079BJZn433ToRC2V7raPH28oMjawvPcFb/+cGWbJkmcw0T1TZGQTXrVtvBSFO/2qSzww6mrVxyW++n3509yMqx+beLpRpTUc/eNAAafdyB+eJMk3N3+/NN0LZnDoIIIAAAklIwD2Mz/F//rWeFo6tIKsbs2bxK+HOVDD165nyzbWhg7w3uHjxkrNo+47d4h5uSVdoxri16zfKRpOJ4R/T/zNnz1rDK3nfEHAaCXHiP1cWQe3D/zr19Lul3UfN6KgZ+DTwMiFLZhMUaWeX1CBK902ZmPbr8UceNBkFqwZsJiq/UXS4Znfmh9HjP5EBvbtHaeioG7NmNUNf17Ve+pCHZpzQobPXrF3vZBDU73b/t4dJ315dJL25yO5ddFgrHbIqWInKsQVry3u9ZiBt+fjDZtjlada/Q12vwa/PPdPCuyrzCCCAAAIIIIAAAgggcJ0InDMP002cGh60pOfqLR57KNaPfNfuiABEfw/f6U7zm0CjYCU65+h6Dq1BlRpEp9trlnz7QT/38MuaKdFdit5SWG4pUljsoL+ff/lN9KWjD5UwATxVKlUww7KWiXbGr+gci/1gon5W7mBJd791WoMpfRX3iAZ58+TyVcVZViDfTc70v65skM5CJmJdQDP7hRX1H1jqvcOOr/zPCY7T4YO9sx+2feE5Z7172zKlS0nte+72yBqoQypXuu1WdzW/03PNyFbuUvWO20Vf3kWvcTzdqoVHYJ8m0jhz5oxkzJjRCgrUPgYrWlfvH7mDHg8cOCilSpW0Ns13c75ITQww9+H0fpN7aGS9N9aq5ROR6uqCRYuXRFrubxSzR0zg3ms9Pe9l/f77GiebYmmThXTlyojMqpoJUu8Pli1T2tmHZpl9ovljznyoEzG5HqnXpp55upW0bdsmUkBkqPsPVC8mfQvULusQQAABBBBAIOoCBCBG3YwtELBOOmyGzZu32JOx8p7CnMTH9k3gZ82P+/nzF1jDMOtwzO+NGCX6VFd0ip5w6RNs+upmUuhPmjznAcsIAABAAElEQVRVevUOv7Gt2RXX/P6Hc8Lj3X5sH5d3+6HMN2rYwAxTUUB27wm/APVAk/sk2403hrIpdRBAAAEEkpCAZqHTC+P2RSgdCjfQDYfYOrRTXtno7CC+QO0fP/6Ps/qqyez3zYw5MvfnX51lsTmhgYTuEkr/tP7xf/9N8ADErFmyyJEj4UP16A2T2AxA1OeuY/t3imYv1GBB/e7pjabJ076TVk80c/OHPJ3VBL3q8M/60jZ+/GmBaCYMLRpUunnL36JDe/sqsX1cvvYRbJkOOa5ZO+wAUs2KkeVahs1g27IeAQQQQAABBBBAAAEEkp/A9G9nOw9WNX3wPicwLzaPVB/Y0qLBL4GGdg50bhLTc/S7a1azAhC1H6tcwzC7h1++o4pn8JWOStTxf21k+jezZdHS5dbDiLq9nk/9se5P66UPdT3QuKHUvSf0xAgxORb3A53ajr/zTH9jFZw+c1YPwSo5cmS3J32+58iRzVl++nTEds5CJhJMQDMa9jfBde7RpPbu3RepPzoU8NJlyyMt1wXeQxb72t7nhmbh9h07PFYtW77CutflsfDazClzHca7HD58RAoXLuS92JrXIZd3mmHbT5iMhJqV8OSpU9a7O/jQe0MNCr61YgWPLI7zTJCkvqpUqSR3VqsqFc3Q0BUrVJAbb8zqvbk1v3Pn7kjLx77/QaRl/hbsPxA+yomu12BMdwDijh075f4HmkpYWGGpXetuqWj6qv3Jnz9y4KRuH6hcicFIJFnNA7btTVbKuCox6Vtc9Yl2EUAAAQQQuF4FCEC8Xj95jjtGAsXNk4Z22bDxL3sy0b7rRYt33xkoDe5tYmX+G/f+h1YAYUw7rO22bNFcNHBi2PCRVnOrXU9cxbT9uNhe09nbwYfa/kcffyaPPfqIuD/TuNgvbSKAAAIIxL9A7lw5rOAv3fNecyExPgIQNUufXerUqiFFwnxf2NQ6F80QJ2nSpJEc2SMurs+YPdcj+LBs6RJSqGB+K1g+Y8YMVhDgPBOcaA/VZO8r1HfvLIbPB8hCZ/dP286dM2eou4izegXz3yzb/g6/2Lx7T+QL3HG242g2rDdoXmrzjPQe8K4VCLtk2Uq5raLv4aiisgttV7MrnjhxSn5ZuNjadNPmbX4DEKPSdlzVXbBwiRN8qPtYseoPc6PsLvNQSNQvesdVH2kXAQQQQAABBBBAAAEE4kfg/PkL8tviiOCk7Tt2iTtbod2LHbsiMhjO/H6u2EF7rVo8IvrQYbCi59r6QJjuT4c8Tps2jc9NNOO8vxLTc3QdrliDBfXhPx2G+Z67qlt92bhpq7VLPedPnz59pN2nNtfdH2vWRB55uLE1MsKGjVvkL5MIQY9Hi7Y3zTzkdenSZWlYr5a1LNh/YnIsYSbLv16H0Ic8Dx85arK7+c5iuNc8LOirZM4cMaLCEbN9oHLk6HFndeYbIq6xOAuZSBABzaQ3YfxYufnmiAyV2pGjR8MfFHV36osvJ7lnA04fORr4++De+NDBQ+5Za3r4iNGRlvlbcNSM7uUOQDx46JCMGDlGflmw0Bnpy9+2/pb3eaOnPPHkM86IW3Y9DQR0BwPWq1vHDAvdWPRdrwXa5eixyMcflWNy+z3z1JMm+HG+aKIQd9FAxAnmZZfy5ctJ04cftAJJQ03OoYHHibUk5r4lVjP6hQACCCCAQFwJEIAYV7K0m6wFKle6zQQAZLJOKvTHvGYVLFb0lqDH3H/A27J46TKr3uBBb3mkPg+6cQwr5DNDSfR/s7d07NTVaqnDq12lRvVqPlvVp71mfz/HWlfJHGuwFPjVqt7hBCC6g/t8Np6ACzU9/utvhGdrdGdB7NS5m3wzfUrAJ2ETsNvsGgEEEEAgmgJVKlWUmd/Ps7Zeuny13F7ZM6uAr2Z1aN+RYydYqwqZC+ztnn/KVzW/y9zDM+fMmd3KWOe3so8Vv/+xzln6otm3r6x2y1eucepEdcKd2UFvgmhGvaRSKt9WQeb/Gh5wp1kfLlx42O8NJPuY9KbMwHdHWENI64MTfV/vYt38sdfH9XsuEwT7WNMmMumrb61dffDxl1LsljCfu9XsjouWrrDWlSpZzBqqy2fFawvLlinhBCDqDaDEWo6YmxE6HLkWzQ5gZ0Ec+8Gn0q93t2gPG5ZYj5d+IYAAAggggAACCCCAQGCBy5cve1RYvSbiPNhjhWtGH0KzH0R7vNkDIQUgFi5U0AnY22+uCxc25/i+yh5zLdxfiek5up6HVql0qwk+XOkMw7xl23ZntIa7avi+Pm/3Rx9AK2uGVdWXlgMmAEuz4f+xboM1P2/+ryEHIMbkWPThSvtByN//WG89FGd1wOs/K39f67UkfDbLDTc4yw9fG9nAWeA1scf1wKH7GotXNWZjUUCHCH6yZXOnxUvmWoqdcMJZaCby5MntnrWmdVjjmJRzJrNnqMXOahpqfe96GoxsF83E2L5Dp0iBg/b6UN81mG/SF59I7779PTIhem9vZ0a8q2YNGTtmhGTMkMGq4j2Sivd2weYvXIg4pmzZssnEzz+27oF9P+cHv5uuW7de9DV23Acy+ctPpZD5/0oKAggggAACCCAQGwIEIMaGIm1cdwJ64eDBB+6XLydOto5dAws/+nCc6HJ/RTMlTvj4U2u1Br+VMk+MxXfRPv/08y9WcOHBgwdl2vRvfHZBh1AYOOhda50+2TZnVvhNc5+VzcJVq393Vnk/AeesiIeJf68Nq+FrV/p0ZtfXejonlOPMSd6MWbNFs0H+uWGjdbL1v5df9LWps+zIkfAnTJ0FTCCAAAIIJGqB281FfjsA8a/NW62sAaVLFg/Y54lTv7GGtNVKpUsUC1jX10oNHPvpl9+sVX+s3WBlN/BVTwPj/v33P2vVDVkyS/p06eS8uWh46HB4IJlmKvQVfKgbrF0ffqPBV7vuZSe9hoPWdfpbRTNB7j9wyMqYoEMZFzCZBX2Vf//7Ty5euCQpU6X0yNLoq258LAsrXNAJYNOLxjNm/yjNHmoccNc6lLUeq5Zy1zJPBNwgDlbqkFt6Q01vMmm/7Zs2kXZlxoHWoZW1aGaPQf1ft6b9/UezHtrFPUSVvSy+3k+d8n+zQZ9CH/fhZ87NtfYvtpbflqywbr79Y77/X5th1x41AZqBig5fTUEAAQQQQAABBBBAAIHkI6DnpfpAXLCi58120UC8VObcVEuga/B2fX3XgEM7a+Kylb/7DUBcbDIT+iqxdY5+d42q1jmQ7kOHYd741xZrd2qgGRC9y2kT0HXl8hVJlTqVE6Rk17kpbx5p82xL6ditt3V+efr0GTlz9mykenZ9+z2mx1K0SMSDdBoAeUtYYTOiUBG7eet9lQk+/Pna9RCPFWZGP798N+eVffsPWueH6zdsknJlwoMq3XX1HHLFqoiHLoNdw3Fvy3T0BUqWKC7t2rbxaECzA06aPNVZpok4Zs763rov5iw0E9my3eietab79X3D+swjrTALTpmhjVOlTi0ZrmX+zJsnj69qPpdpkg33kMgaOPm/l9r6rKsLNTtjzpw5nPV2EhEdirn185G308QjxczoZzly5JAsWW4wryzS/bXA12a08XLlysrX0ybL9u07RIefXrRkiUf2Q6cDZmLhb4ukc5fuMmbUcGuxryHJB/Tr497EY9r7mDQA0l00CHH0yGFm1LJeMnvOj/Lrr7+JDlV9+vRpdzVrWu8RNn30CVm88GczVH26SOvdC/SeYWLNNOhvSHh3/5lGAAEEEEAAgfgRCH6WFz/9YC8IJDkBDVb79ruZ1g93PWno0q2HvPP2AJ9Z9Nb/uUFe6djZOcY2zz8b8oUSZ6NYmtAsiHrC4T5R825agwhr3X2XLPh1oZWu/f3xE+S51k/77LM+KWUHVmo7wbIleu8r2Lw+ETv1q+myeMkyK0V93Tq1PTbJYIajtIt+Dv7Kl5OmyKJFS6zVbV94TkqVKimFChcyn+EsK73+0PdGSO3ataRM6VIeTejFEbtopkt10xNQCgIIIIBA4hfQ7HPVq1Ux2YdXWp0dNe5jeeWl56REschZi/XGxtSvZ4gO/aRFbwRUr3a7NR2V/5QyQYvp0qW1bgRs3vq3lZnggcYNPJrQC3bvT/jMCURr9UQzubNqFSuDg72tPsHs6ybC1999b357+A/4cl9008AtHUoqa9YsHvvX4/rqWka6oSPfl949XpUbs2b1qLPTDHX19pBR1jINhhwysLfH+oSY0WNr+XhT0SyCWjTQU4e8bljvHp/dWbhomQlAneusa9ywrjMd3xM61HWPPgOtoE9/+85lLoprMKgGhf534qR8PcNc2G/c0OdF+61mKOoFv4X/rtH2ShYv6q/ZaC3XBzfmzV8oG8wQWzXuvD1S9lANmLXLhr82yR1VfGcX/WHeL9YNJq2r33ENIr3JBMCuNjfdNBhTM1pWMpktb/EaqtzdvgYPUxBAAAEEEEAAAQQQQCD5COh578ghA4Ie0Jy5861zaq2oIwT4ClgL1Ig7+/yChUus86aK5ct4bKLnjWtMRj9fRYd5juk5urZbqGB+yXZjVtGHsH79bakZwjh8yNpqd1T2eb43cPBIOXrsuNWll9o8bT1M5+6fXr+wgzP1fN3OpOau4z0d02PRYMPbK1c0wYF/WE2/N/oDKV+2tJQqUVSuXL0i6//cZD306b1f97yeW06ZNsNaNP6jz6Vvz86S3QyT7S7fzJwjO3fvtRbpdZmofubutpiOmcDL7dp6BCBqa4MGD5VGDet7BKvlypUr0o5q1qxuvvexn1UvT+7cHvvSEb6eaP6Yx7JQZpYsXRqp2qwZX0e6N6TXRvr1H+gzeC9SA2ZBEROo2/5/7azXxYsXZe3adTLRBHF+8234997eZs4Pc801kfOWo/cx6b2n6ByT3bb9nj17dnmyRXPrpcfxtwmO/Nb049PPv/Q4Hr3fpfcvNfgyUElprsldNtczE2PRvlEQQAABBBBAIHEIpE4c3aAXCMStgD7J896I8JvogfbUsH490Yx/oRQ9MejzRk8r8FDr60nE0mUrpN2LbaS0CW7TJ4a2mYC1NX+slc/Mj3q76FNZDz30gD0b6X21ySYY23117+RGc7Fj+NDB0vKpZ92LI003f/xRKwBRV7z9zrvmya3v5bFHm0lYWJhkN0+17dy1S37//Q/58KNPnG31aauaNao78+6JUD+DsmVKizvI8LdFi6XH6+FBDzos9OKF88WdZbFA/vzObjRAsE3bl62T4MImuPDWihWsdTt37pI3er9pTVtPxb3czprWizMDB/SVZ1q/YM13fLWLzPxuuscJtAY76HdCn/DT8vSzbeSRZg9L/nz5rIBFayH/QQABBBBItAKPPtzEGppIg/b0gtuwkeNFn6C/s2plyZkju/xrAvT27N0nCxcvF3emtfsa1gspI4P3gWvgeoeXnpdBQ0dbq/SGyd/bd1o3DDRTwZGjR2XezwvFHjZGh6S9vUrERb7SpUpYNz/0ZkK/gcOsoC290H/w4GEni573Pt3z+ncrq3lKWwPYtGgQoV7kz50rpxn2qaK1rPbd1eWvTVusAEgdDrfvW0Ol8q0VTHbmYpaRBnzZQZu6QeNG0Qvc0wCzydeGHrZ27Oc/VW+v5DcThfcmOmT0EpOdYsNf4X+Xv535gyw2Q1nVr3O33Gx8L5gLvHv27BcdWsq+aaFtFC9axLrp492ePa9t6FBWwcr999WXTBkzBqsWaf0NN2SW555uITrscKBSp1YN+eSL8AwDc3/6VVaamzt3mWwZN9+UV3T4bO3j5q3bZbnJ3mEX/V12a4Wy9qzHe6ifgQ6n5R6ifM3aP+WbGXOstjRzowYOaoCkXfLmibjBoDegLphMmXpjqEiYCTA0n4MWHeJMM2No0Zt2jza935rW4MJWTzziBJJqhsQBvbt7DKedO3dE+/rvctCQ0ebfSUXzGeeVEsUjBxBbDfMfBBBAAAEEEEAAAQQQQMAloBn3GtWvLXperkXPPTQAUYcz1usDOozxRnNuHKjE9BzdbrvGnXdYD8gdPBQxwk7N6nfYqz3e77nrTvnqm1nWsrGmzw3q1rLO13UYY71+MdU8UKj913JHZd8Pg1krvf4T02N5uuVjctiM2qDn2uF+fxrDPz32Uq+2SWpgHpazAyTdK2vVvNN4bzXBTn9Z6/sOHCqVzLWIkuYcT8/71pjPY5t52M4ur7R7zmeyB3s973EroPdgWj/zlEfyCb3HM9Ekenjm6VbOzouY+0XeZfXqNX4DEDXhxIULF51N0qZN4zPxhVPBNVGxYnnRoYztsmLFKrl06ZLf78m5c+dM1r7w2ilTpnDu+ywwWQHd5cEHmkQKPtT1G80Dl74yB7q39TedJk0aqVy5kvXSe2avdu7mUXXLlq1W5sQy5n6Yu2hA4K7du/36aWDjpUsRw9jrdcVgRa9VavbHLp07yqOPNJVadRp4bLLWJBkJGoBo2rh87f93PDZOBDPuJCKJoDt0AQEEEEAAgetagADE6/rjv74OfviI8ECAQEetQyOHGoCo7TRr+pDVnGY/1KInYHagm7XA6z8N6teVQQMHBHwqUYPoQumrPkEWlb66u1LdPBnmffLoXq/T9evVkeHD3nUyN+owxX9eC+Lzrqvz9zZqKIMHDfD51KZdP5Tj0hMgdwDiXnNRxV32HzjgEYCoWZ3ub3yvlf5f6+kJqL40g+PHE94XPaF1n9y9/dabHv5a7757G1nDUlv2I0dL186vuncprVo+4QRBWg7GQsuObX951GMGAQQQQCDxCWjg0xuvvSqDh41xMgjoDQZ/Nxn0opVmJNSguOgWDdbS7Ax2sJkGcOnLu+jT/F07tpPUZvgpuzRuWMdc4NxsZYfT7Aizf/jJvOy14ZkZNcuADunrr9Q2QWx28Ji2YQ9DbQcgapBi2+daWcGJe/cdEA1C/G3Jcuvl3aYGL95zl++HC7zr+ppfYLI7BCt5TDCbDo0VamnX5in58NNJTpaKIyZ7xJeTv/a7ufb/kYcDD9W8e88+0VewUsu0FZ0ARG1Xh9TWID/3cFLe+9PvnV6I16HAtejnZwfxedfV+aK3hMnLLzwt+pn6K6F8BseO/+MRgHj4yFGP5o6YYYvcAYj6HbQzgWhFvemkL70x9lCTRtbNqDHjI4Itn2rxqDXMuN2oBpJq5g/9d6E3mqZM/06ebN7MXi03mMyWmqlUs4hq2bFrt/XSDJE9u77i1GMCAQQQQAABBBBAAAEEEAgk0MQ8RLbLBMzZ1wA06FBf7nKfOQ+fM/cXJ6jPvS42ztG1verVKntk6NcHyQqY4WR9FQ1W1CGjNTu+BvppAKUdROmuX9hkVmzUoI57UcDpmB6LXi9pb0aVmPbNbGdIaXuHGgTV7MHG1sOe7mz99np9t65FtH7SemBTz7/1gbkl5mFAfXkXHUVAz3cpCSvwQpvnPAIQtTdDho2Qpg8/ZA1RrPP62T/0YBOPLH+dzBDDmqTD+/6VZv1r2epZWWWScNilR/cu8vxzgZNl2HU1gcjgd4fZs+Y6zh7p2auPvP1Wv0jXRX76eb48/8JLTl2d2LxxrXn4Ma2pGzHqlS7XoD7voqOSDBk63Huxx/zIUWNFR9ayix7v1Emfyw0mWNhdNFmGd8mUKZO16LZbK1ojbrlHLGvbrr3Pdvbs3SuN7nvQIyhSh37WRBxLli6TFk8+4+xG2/9q8hfWSGDOQjOR99pDo+5lmTNnds/6nE5lrl1eNMGeibFo3ygIIIAAAgggkDgEPH9lJY4+0QsEEkxAn4KyS6qUET9aA/2A1SDEGd9Os4LY7G2938PCCkvfPr1k7OgRkYZB1Lrufel8KMXfjWZ3EEOgdjp36mA99WTX8XWMTe6/T+b+MEuq3uF/CEoN2uzWpZOMHD5EMkYjI5C9f/vd+2mlxvfdK5oVUUu9unV8DvHc/80+0uO1rqJ98S5Tpk6zslDq8geaNJa776rpXUV6vd5d7BO+seM+EA1EdBcNihw25B2pUiX6wSju9phGAAEEEIhfAc0I2Kt7R5PJr54VNOVr7/r3Ry/e63DEwYIPvf9W+WpPg800CNGdKc6up9vfXbOaDOjzmpMtzl6Xzzxh3qdHJ6sv9jL7/ZYihaVHl/YmG154hjldnsK05V0040DzRx6UPLlzeq9y5lOnTi2v/u8FKzuir+PRbbX/OuRxXBf3hV93X1J6XRC2+6G/WV54tqU81fJRK4ulvdz7XTNc6nBVjzVr4vMBCfe+vLf1N5/Kh7fWDbWtFo8/bC5ER1zYdf/2tPepGQ81yM7Xd8euoxf4Netjp/YvSPr0wZ92t7fz9+79PaphhunWIcK0hBUqaIbVKuaxqQYfdu/0shl6+Tafxz7XZPm0hwzT4aFvq1jOY3udefrJx5xtNeOm3lxzlzbmM9ZsJaE8ze/ejmkEEEAAAQQQQAABBBBIHgKe54oR1+2jcnR6Df0FE/RW0wT1eZ+36bmGnlfef299p0nva+6xcY6ujd+YNau5dp3P2Y+/7IdaQc+39Nz/wfsbmWvWkTPw6zUOvb7RzZyT6cNboZbYOBYdUUgf2hw97C3p16urdDEPVb4zoJcMG9TXBFlWsbpy+XJ4dkZf/dLz+VfNeaye93p/Hlpfz4P189KH1igJL5DLjKbxv5df9OiIZgT8YMLHHsueeepJj3mdaflUaxk1ZpysWLlK/jKZBGfMnC2NGj/oEXyo9Ro19MzGp8v8FR3iWO8RucvUr6bLy+1flW+/m2mNYrV8xUrpN2BgpOBDHfFLgw+1VL+zqrsJKzmFJhmZP3+BbN68xbQ1Qx57vKUzQphHZddM3Tr3uObE2r/2RYMBz5w5I5qBcdnyFaIBme6i96IKFAgf2Uv/HbxkRlVzFx2NS/0+/3KSNYzzOpOhcMLHn0YKPtT7YeXLlbU21QyG9j0uXaCf07PPvyhz5/0sR81DpZqoY9vff8tL/+vo3pU1Xb5smUjLvBekTh1xv9R7XULPJ+a+JbQN+0cAAQQQQCC+BVJcNSW+d5qc97d+0w7r8MqVDEtUh9m2fUR673EjBsVq3+Ky7VjtaDw0dsRki9mxc6fs37/fSu2uTzaVKF4sVgLz4qH7AXehJyi7TPaZzSY1/Fnz9FchczO6eLGikZ7mCthIDFbqCZP7BMpXU/p/ZyfMkJN6oUgvzvgKqvS1XVSWaT80xb1eCIqNG/5R2Td1EUAAAQRiLqDZA/RJ+8Mma96JkyfNxfrMJvtefmuIYu8bDTHfW3gLOvyzBmPp36kbb8xi3XgIpW3t6wEz9LIOJ6MBgdH5u6NPbOvFfx3SJt21C63e+9a/8ToktGai079vuXLm9BgO17t+Ypvff+CQHDp8xAyn/Z/JJpnauqmTL99NHpklE1ufQ+2P/R3QjB3nL5w3N2NyW8cX3SyMoe7XrqffH73BFKjo9+fcufNyxXy/M5vfX7H970j/3Zw2F+5TmP+lT58uTn7fBTo+1iGAAAIIIIAAAggggEDyENBza83urqMAZDMZCO2HrkI9Ovv8LLrn6D16D7TOvXV/g/q/LhpIGErRLPl6zmtOiSRv7tyioynEtET1WM6ZzHXHj/9r7VbP+7L46bsOMd1nwLtWPQ1IdGe69+6z9sG+FqFBWPoQoa+AS+/tEmI+sd73i65Ft9deFw3cs4s9mpQ9737/778TUv2u2h5Z93T90sULzDWKiAdkhw0fKSNGjnFvGnS6U8f28vJLEQGOev/Je3jgVcsXWRkC7cYOm38Ltes1itQfe72v97x588o30yc7/d2//4B1TL7qBls2YfxYqV27llPtkcdaRAqqdFb6mRjQr4880fwxZ61eV2ne8ilZuXK1syyUiS8//1jurBYRTPneiFEhja7mbltHNhs9MiKrpHud9/SJU6dMVtbYCSno0bOXzJnzo7WLLz7/RLyHovbet795fbA3i7m2S0EAAQQQQACBxCEQ8zOVxHEc9AKBRCGgT4TpKzkWDebTJ8z0lRAlWPCh9klveOuQzHFZQulHXO6fthFAAAEEYiagF7V1uN+oDPkbsz2KdQE9OhfRta/5bs4bo90HCx7TxvVvvA6v6x5iN0Y7jeeNNSOkOytkPO8+Tndnfwdi+j2IbidD/f5E5/sdap/0913ma0MThboN9RBAAAEEEEAAAQQQQAABbwEdCeAmH8OPetfzN2+fn/lbH2j50hWrneDDiuXLhBx8qG3qA4UF8vserjnQPgOti+qxHD/+j7w5MDxISQMg33jt1UjXEDSI6qPPJjm7rVgucFY17YMGHeqLkngF9H7LSy++IO+8O9Sjkxps+Fb/vs6y9i+3s4LTRo0e6ywLNNH2hec8gg8D1XWvy507l+iww8+3aWcNwexe52tagw+//OwjJ/hQ69xsRh8ZM+o9afdyB1+bOMt0eOiPPvlcDh486Czznhhlgve6v9YraLZEe7uRw4dK4/sa2bPWu16X+2DcGOnwapeQ29HR1tzBh9rQiy88b2VdfH/8BI/2/c280Ka1dOr4ir/VkZanSZ3GPBx7IdLyhFygfaIggAACCCCAQOIRiDxmW+LpGz1JAgJbtnoOVZsEukwXEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIE4E9BM7nv3HZAf5i2QiVO+dvajQysntXLzTXmlSFghq9sXL16S/oPeM8GGk2XhomWyes06mTXnJ+nc401rxAmtpEGKJYoXTWqHed30N00az6CtYCNJtXryiUijU02aPFU0G6FdtA3NaDjxi0+kQf269uJI7zqE8pxZ30q3Lp0irdMgYe+S0rTrXXRkrhnfTpPOnTp4ZEd018uRI4f07f26LPj5B59JNXTo56mTvpCqd9zu3syaLlb0Fvng/dHy/HPPSlovq5SpPG+r5zFZST/6cJz0f7O3lC1TOlJbukCDIO+7t5EsmP9jpOBDewMN9Pxw/BgZPOgtKV++nL040nvrZ0ymxGWLpGGDepHWpUuXTrp37SyTJ35mHZevZBq6rEaNO+WzTz606np/FyI16lqQzgRDx1ZJmTLic/U2jco+YrNPUdkvdRFAAAEEEEDAtwBDMPt2ifbSxJqKfejI92XL1u3RPq5QNixerIi8+r8XQqlKHQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgWQp8M2OO/PjTAo9jq1n9Dmnx2MMey5LKzIGDh2TEmAnyz7//BexydjO8dedX2kr27NkC1ktKKxPrfb/EbHjixEk5cOCAyfz5jzVyVYH8+U0gXh5rFI7Y7Ldm3jxw4KAZpvywnDPDq99ovn8FC+SXG24IbYhz7Yu28fff2+WiGaZdg22zZYv+d1fb2rtvnxw6dNg61mJFi/odsjyQgwZ3Hjp0SE6cPCUZM2YwWVDzS04zeklUi7ajQ1ubwSWkQMECogGTMSlnz50zWRAvxqSJWNtWgw8zpE8fa+3REAIIIIAAAgjEXIAAxJgberSQWE9ENFPh0JHjPfoa2zONG9WVxo0iP3UT2/uhPQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgsQq4AxDTpUsrDevdI43q106s3Q2pX5dMcNWMWT/Kqt/XOkNK64Y6nPJNeXNLsaJF5CGT4VGPNzmVxHrfLzkZcyxJQ+Dq1aty4tRp0feELClMRGWWzJms4NaE7Af7RgABBBBAAAFPAQIQPT1iPJeYT0RmzZknW7Ztj/VMiJr5sHHDulK82C0x9qMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCApC5wzmcJOmkCdTBkzWhnMkvKx+Oq7BiAdPXbcCj7UrIcaEJRcS2K+75dczTmuxCtw4eJFOWOyTSZkyZghfaThsROyP+wbAQQQQAABBMIFUgNx/QiQnfD6+aw5UgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEgYgfRmaFB9JdeiAYe5ojEkbHL14LgQuF4E0qZJYw1bnVBDMevQy9oHCgIIIIAAAggkPoGUia9L9AgBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEpNABhNcnSZ1/Oc40n3qvikIIIAAAgggkDgFCEBMnJ8LvUIAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBRCWTKmCFegxA1+FD3SUEAAQQQQACBxCtAAGLi/WzoGQIIIIAAAgg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4yIxV5tqi+PVb795pm3ri9abdO5Po/vgXrnXyIQ99+dS0/dXXn7XHnj9h2TkZcO+mVqNo2bi8Xm4L22Hq3EBPwm36y399FPLVq31feNyV8rlczF3UrmZyxbPOp/o8O9sQ/PZ7dtr9N9bkw0KpbE8fGnEvzjcud0F0paDYuPQhjZPPAucg2x7G3OSzkivU5u8tEHgpz55p4blMTfzMB3Y7+ZDHLPxeOtM5v/O+q12SIeXD2UzBvvvMcfviN5/H85B01w8FfPZ7P7vb1iLpc+FStVefdz43dR6N70m0uXB5vectbEOfRUAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEROD1ElAC4uslp/POSeC1JJ3Gk1lymQtlvw984APzu/1+v735zW+2Bx54wDZs2IBEMY995jOfsU9/+tM2ODg4fxw/sNzybbfd5raVy2X7wz/8Q/vGN76x6Jhf/uVftg9+8IOuHbbJZMN6ouKJEyfswQcfdKWgv/SlL7nzmLj4F3/xF9ba2mrR6GJhaFHDcyuu3wyTo8d2nu8fffNmewfEqsalXCrUZKcztBMN+u2GLbWS1UPjM/YzH/889CVcFP976+1X2x/+2rtcH3/xjQP2mb9FuttPcT+VSk3MOjY0Ye/41BfO2o+W/t3mD4IJ7i+Tzdr0bNb+6z9+1/7uGz+evx6T9X7zQ2+yD/7MjS4N7pfevMU+/ZdPze//ubs3zqfSfeyzf20/ev7oout99f/6hPV1t6LEdAe6UOtfnevr4dbI4YN3bXT3xXK/X3niuEU7N2IYFl+nfr1V/T43+Th/GzkvZb+/9+wxu/YrX5kf/8bx4Prf/+eP2vaNa1CyGzOaxiDm17a1zfama9a4uxwcnbZ3P/T/WB5l1Xl8LBqyf/s//yfraIkby3j//feO2NBEdn4efeSNm92zwJP/l89/yR5+7AV3nhdpjw9//pO2prPZrt/cbpGQzzIsW77gefvzX7vlVSF4jhEiFufvq/H+mSB57+5aOeRjQ5N4fv5kvr0/Qrt37N1s//fvfMC1+eCd/fbH//zS/P5KqVi/gn3kM39pTx84cUZOoUS7JXq2XPB5C/vZ2I/T1ufvTB9EQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYDEBCYiLeWjtIhCgNLhQSDzT+sLLBoNBdzwlwhIko4cffti++tWvurLK73//+83n89nnPvc5++QnP+nkwXp7TD+sLx/72MdcaiHbqrdXKBTsT//0T21kZMR+4zd+w0lJn/rUp+z3f//33fW8Xq/FYrFFoiGvxcREipD1pX69s63Xt5/v+4HBaRtEyl8VYpPfU7U1HU2veeoHIe4Bq1s+9vt/Y16IgKFYs1WKBfv6D/fZh95+s+3YtMZuhrh3IYvXH5wXnRqFJXKoL9988qj947981QlTvmDY/KGYebw+K6Sm7I/+8hv2njdcY+FQwPo7F0uc29fV+lqGbPbjl05YpKXHAtEmKxdylk9P2jcf32cfeeetbqyYGHdyPFO/pL0ebvMnz31gSV0uP3jmZQskaqyaowG7YwcksgUi2mlCFsS3p49MLroftrN1bZPdvqPLWHqay6FTSfvG06fs2EjarS/8cfeuHosj/fKZo2wna/ft7bGbtnZYV0vYjgyn7J8fP37G8+ptcGxv2tppA2vixrK8zx2dsm8+NWSZuWS/+nEL35vQt7dC0rsWJbPDQZ8NgueXcJ3XWjajfPBdV3e7fpXKVXvh2LR969khpAlC9PspFo/Ha25Ogd+Z+F63bd3/z959wFdRZQ8cP6mkh5AQepPeRQVRsQuK2LDu2taCHXvBurb1r4iCYu8FsRdABOyCYENE6b2XBAiEFEjP/555b+a1NEJC8uB3d5M3c9vc+c57CX44nGsFH+qUn38/15l58GGu56QV1z02XopDIyWmUVOrPS97m9wy6mN577ErrM/E8CFd5L53PWM1eFXLolWbZeovi6WBec6hYZFSmJcl+tn5cuwN1jgNhn11mm+m02Ubd0qcyZKpn81mjWJNsGyYNVd539o2ibPeq9r+yz/mPWXey5FxjczPrEgp2J0pM/9ZLYUme6PO06GZK/NmWXOFhoaX6xQa7rtVuff46o7znoNjBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgTwQ8UVV7Moq+CFQi4B1w6H2swyo616C2lBTfoDkNHNxtMuw9//zzVoDgkCFDrC2WNRjx1Vdftebr0qWLlaVQ51+wYIGsWrVKGjdu7GzFrPVadEvmCRMmyOWXX27179q1qxUwpBkY9dqJiYkSH+8JDNLgxYQEV5CcvW771TWj7/04bRpgpV9a/F/tOnf9hB/nybgPPre6Nk6Kk+9fvc06NjfmsipjfL9OruyH+WYb5LRskcRWPVxjzPeiglyZ/ucyKwBRt2LuYLY9Xr7JdLLn0Z56bJ/7v2q7KSEmCCqpbRlb09qBeaaPdb/W+BCJiE6U6KTmVtCVPXesySiYn5NhArBcu72bUFTPGDNu9abt0rF5gtV++uCBMmvJDiswLcLEKUY1bCYd27oCzzQb3oatXkF8Zuweu9n3qTdnjru2TBQNyNPy4qezTNBkc2ttmlny1rO6WvUVfZvw6zoZ++USay7NpvfQhb2t4EPvMYe0byTnD2grk35fL89OWuxpMte/12zVG2bGLVqXKa1T46xAN7tD99YNZUjfljJ6wiL5arY706d7/fHRETL6ysNM4KHnfarjNEDwapNh8v5xf8ucFRkBz3dA11T5r9lKWN8TdunRpqGztbCrzvf5aN1d5/SQUw7xBABqnRpddmJ7eeu7FfLej6u0ynM9+9j29noNjYhyvafsOmug59tjNx5tnRQUFsuocT9KfKte7mfl+gxq8F56bqgktjTvd3cArL5PlmxaLjm78yUuuoF0bhHvvMcOMttr69bLWmbOXSEJLbpKeJTZltx9/bS0FZKXX2gFx/YzwZ+vTF1m9bXaTZ8L73pZNBOplnEmwLF3J1emUs/73jTY92JeV6e5tlnWpZ3Qr6u8/nOmay2mW0RskiQ0Mp8PdxDj3GWbnHXq/M7PDnMck9pOkgpStTqwmLm9rx8wrtCMs9fkN9rpq+12H/9XHVNWu99cnCKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAirgiUTBA4F6KqBBgBoYqNsgjxo1ygnU6devn7NiDUC0iwYlahBjRERgprCoqCirTYMQ7dK+fXv7sHZeNWCvgqIZA6MSU60vzZYWUMoYHx/tih1Oz8iSOBOs5F00++DcNTudquYmc2CFpYz5tX9sVIQcbrLHDeieKhqoFukO5AqYy4zXayY072KCEF2BYt59+vfu6ARdbd6W5d0kH383zzl/5JK+cu2pnUSD+bRoxsP+PVpbx/OXb5TSYtfW0FaF+RZmgtkqdLM7lnN/ujWvlm2ZObI209MpbccuSS/nS3cEtosGm1nFDH3p+sOd4MP1W7Nl8i/L5bs/V0tuXqEVJ3dm/1YysI9vEJ89TzcTbKhZ9krM5Ok7cmVnbr5rWjPvTacb0wjfH9Nv3HSkE3y4NXOXzJy/Tpat324+FyINIsLkycsPlTYmoNEpZp7OJjPjIxcf7AQfbtu5Sxau3iqbtuVY4+y+3lktte6Bf/Vygg935xfJ7CWb5e8V6VJoAkI1yE4NLzimrT287FfTr8Libh94cDNp0jDa6vrGFzMlsqHby7SXmGyoWnRL79iUNk7wodaFmMylcY3byvZMV4BqrMkqaRd9D9ll7uqd1vvUPtdXHZe+3fUcE6IDsxs2SEhx3mOavbHM4nV/BfkFsmbTNqtbk0Zx8vHdx0hHExBplxH/Osw+lPHT3FkavcbbjT3bNrLeT/r5a9rIZWK3VfTqMy7JPa6M+X3m2Nt2n8k4QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEDTcATqXGg3Tn3W6sCTqYtcxUNaqrs3H8xZfXX4EHNVJidnW1lJdTtkrWfzt+mjQlKcpf169c72y5rlf/1NaBRMyTapUOHDrJ06VL71OfVXof9qo3+83mfO/1MMJizxawOquA8zATvaaZA7R8T4/lI6pDy5rODrPJ0u12z1bHVTwOJdJApWQWeeZomura0rup6XDOIJCfGyOP/OcQ+tV7XmyyEz01eIrOXmSArr+tVdH8XH3+QM8d7JuiqtNQEcrk9Fq7bKc+O/15uuvBE4ypWtsCzj2hjthPeboIekyTCZOtbl7Zdbhn9hYSmdPbxCDOZ7GIbtCvfrYL1aSDbwWYbYi2fffeXtU2uyf1nreuvpRtl4NXTnDXbB+ecdIg8eM3p1umfi9bKJz/MkwZxyVagmGZx1PLM+O/kzQmzrGP9psGUs94eIbEmM9/w0zqbLZI3utpcD9cch1iBhx98PVdGvTnZOtYOj1x/ppx1/MFW9r4juzSWn+alWfd55uGtJCWhgTXHx9/8Kf97zWx77S59zPbFbz1yuRWk98C/esqVY39x3g8PmuyMWjTI8banPpYf/jCZG92lQUS4/DH+Pstfgxit95J51cA33SZay6qN2+T8O18WzUyopWF8jEx6drh5jZYrTuogn81aawUl2u8/+/nuyfmNZ7iyTubuLpBXJ/4hDdv0dJ73otXp0rFlkpUps3vbZFlotoD2fv+FmC2Od+TkiYarqrn9eWiS6AlCzioMdeZz1mc+O7sLXPcUbQIX/T9v0Y1aOdcJCfN8puz5/e9P+1z58Dh5//ErpWlygiTHN5BXbjhCtuzMk63mSzNbqvETb06VrbtKzbbp+kYwRd2dyUSuOdVl4WoUs21zibXl9RiTEVODP62u7vf3Ho9zX8/bz3s+65q6LO/Pj70QXhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAT+BclI6+fXiFIFqCWgEi6dooJ5v8T/3bXVFwHjqdHxMTIxs2LDBqtTzUJP9TEvTpq5AqWKTKS0szM5k5ju/9/U3bnQHgpmxrVu7sux5t1uT+n0LbC9/fr+hNX4aaTLdackrMMFIZZRdJtjKLo3iI+3DPX4tLtEteT3DWjWOlZGXHSp9zXa1VSlnH9lG+rgD/TZuyZTp8zzuOj4yNlHemjhLlq9Ld6YLDwuRQ9onWxkXi02w1bX/e0/yxJPJzum4FwdnH9Ha2v5YA/LGfbtQQsM9Rrr1dGRcikTGmy/3a/euneWBq0+zrrh9Z65c/ci7JgOja8ywQZ2s+rWbM6zgwwYmm2VcanuJNZkpQyPj5SezHbYW3To58D0k8tHXs2XkG19KqQleizQBjRGxDWX0uG+sMfrtoCaebIYXHNPOqt+VV2AFH2r/GJMRULch/tts6fvtr4usdt16ODrS9R5pmRIrTd3Z8Cb99I8VfKjjos12wA3iG0tBsdcD9nrYl57Q3gpK1AlveuIDKQmLkRgTkBed3FKy80rlkVe/tK6lWxzrdtF7Uy4x19IskFrGvPetxCTrZ9Lz+fp+ziqrTb+NHtZXerdzBY/quQYcnntUG+nUurGeeoIIzXGTRFewptbneH0m9Nwuee4AxEj31sh2ffVeQyS7JFruf/4Ln+GpiVFW8KFWfvf7Ivlg2h8SGdPQp4/3ib4v9bNnFzUefGgLefmG/nZVma/VHVfmZFQigAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJVEPCkdKpCZ7ogUFUBVyYxVwCNnVXMftU5ymq359a2strt8d5bK2tGRK0vKCiwhmuAlwYlVjReO2ogo13y8vKs/vb89qvdrtfQ4l1f3vxOHzt2aA9fvbOZ6VzlzWfX6/1ax37XCXWCMHX72qJy53GSrnmNv+elabI1LU3WpW93Mq21TE2Su684RY49tJMVlPa/S/rIoAdMkJzXOBeS9d2qP7F3M5P1z7U1tmbOu+T+N0yAXTuf9aY0jJdP779TGidGy+78QrnRBLoNPrqXDD6yu8SYLaDDTAbEyc/dKC9PWSIfz1xb7vWq6mavVwMjtSwwWzuXNNCsdO4bMS8ajBjXpL2TAS66QZi8ce/xVmbBIhMQ+e97XpfwhGYS1iDOGtfYHeRm3cuYm8yWwHYArMsiMdoTDNqmcYys3pLjuQ/tYrb2jWvS0QQ8mqA6XYaJu8vfudXKVqiZGhPMeHt9SbGujH7zlm2QWLPGBiZA0s5UF5XYRD43WRlPNnZaurRMlL9WZEjvtknWuX574eOfJbF1TxM8ad7/Gt9nrhcr7Zx2dbTfT61TXJ+RrNw8Sd8VLgktOph+ZpD5f1RiM5OVcZmzxg7N4p1x1mRuTtu7olcNrrvEnSVTgzs/m7FUElt085lv9rIMmTxjnpx2TC8rMPWZq/s6mQB1vHfR9dpe+YWFTlOolSnUle3Qez12ELN2tMd5t1sTWPfjuin9XlG/a847Xq4c1Nka9sUPc+W3+avl8rOOls4mQNI8ThnYv5t89cJtctNrs2VHtuvnll7v75Xb5JpH35M5i9dKvmY2NX1DzbfzBh0qt14y0GyJHikaWHq5yTj55jfLrfn3ZpznvvSGXNOV++pu5gUBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPAX8I3c8G/lHIEaECgr65v3tHva3qJFC2t4UZErsE7Hr1u3zqrTYKKEBNd2uPY1yppft122y7Jly+zDMl/LGu/dsbJ27741dZxX4AqsioosO4a4YXyUc6nNGSbgbQ/KglXp1rbHOkSD8TSgbkP6DhluggNnzl1hzRRpgr6aNPRcw3963br3/gt6WwFXGrR3kQnayyqKkrBIT+CnjrltaHcr+FAztw25caz8boK1Hnppohx+8f/JE29NE82AqEF415ktaaPcWR/9r7Wn55oNsJnZXljLy5/NrDATnfZ54br+EmO259Vy+9OfyLZcE8DayPUe1Lpo9zOIjY6UTmabYN2O2fsrNcmTwbBhnCfToo7VEhEVbwIzPRn9tC4yPtlsN+4OeCtxB82Zet0uWUva9lyTvdA3C2VoRANZn+0Jfmzf1HXdri3jrTEaY5kT0jDgGThpDq1eJurNXVLdgZVZObutzIfe/UJM0GSsyVJYoIFypjRP8mQadA+v8sstZ3SztprWAY+++pWZ12x77FfCo+Plnue+kA9NtsjCIpeHbs9tBx9u2JZjvVd0WEameUDu4v3eT4gJtNduMQ1cQZ357s+UPbY6r5p1UoMPNdDwe7PN9X9fnCRTZs6X825/UQZeN0aWrnFl+myVGi+3nNnN5xK784vkl39WSn5hkdlVPcL67Onn4iOz1fbQW140QY+u7n07JtfIOJ9JOEEAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBKopUHb0UjUnYxgCtoBmCNPAPDtTWGXn9jh91b7l9Q8PD3eyF27evNmZf8WKFTJw4EBrmp49e8rMmTMrvH7Xrl2dSy5evNjnevaa7Q4Vrcfu66xXU4iVmugjO1pIJ3HONbir4nbvTH7WUJ/+nvE5u/IlPiZKNOjNupT1zdOe4rXt8kYTnOVap6e9ovVFm212Yxq1kRBj7SrmORYVSl7ONvlyxj8yoE8Hq1q3SZ7y54aA+xvav43cbILKNAhLMx9edO/rsmxjpiS26mHuxvf+D+ngCrxbvXGbbN9VKolteklRXq7JAJgu7331mxVUdt+wU625zuzfWj6cYbbidTzdyzPn9nNw1/ieO/1d93/FSR2tbrm782X2qiyz3a/ZCtfPz/a54+weVtY5HfDu5N/kp7mrzH30dDe7IsL0nkLM/+av3Czvf7vAtQRt0suZohkoi/JcQaALMmLMWBMkaF3P1a5dA56PPVjHu7N86oT2tRpERbvH6GBzIff64xI92/oWFBZY/UtLPQGMEXFJrq5e17fGu5aikzntdqCffuZMRJyr3rTb1wuNjDbBqa6bLLKybOoknnbPlJ71+bcnxkbK4MNcwZzWFt0LNkl8sy7mWqriLub+QsMbSGzjdta20//3xlRp3yJFOrRtLttMxsT5S9dKgcme+c8nD1oDNm7LdsZvMsd2STZBuWu27HLWb9fHmq2xtWSbz5T/+9NqsH29l+S3PhdOiJxltvbW972WVz6dYW3DHdYgVgqytkn69q1yzh0vyS/v3C0JsVHSt2OKz/VCw6Os93+YebWKex5972zdtk40O2Ryw1hpZgJovX2sca17mayWZpw1xuVdlJ9txq33HbeHz8dah94/BQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKEfAjjAqp5lqBOqXwBNPPOEs6PPPP3eO582b5xxfdNFFVgCiU+F3EGa2Jz7hhBOsWg3u0kBG722d/brvxakG7rijlsqM4ams3evSfuO3Z+2WZimJkpoU6+rk135UtybO4LVbTEY4OyrKqdWDsq+vwV52QJW9fg1GjG7YTFJSE50ZsnLd28faU5nXq07uJBcfb7YvNmVXXoGcfftLsnn7brN9b1f31sSeKK5Ys8WynT1w+bqtktBc+4SaQKpos7VwshTmZcvEnxeKBiBq6WcCtqwAROtMv5W9fqe5nPZjerpspv2y0JNF0M9P5zixd3M5vZ8rG9/8FRvlybe/loate5g1mh+b7oA/9dFgUA0oCzNzfPndLNe6tN0y1/u11xkiDU2Apd5fQCnj+j593O25GnhqrtWqiT4He173oXnp1saTFXH+qq3WFGs27TCv7azlJMVHS2auK3umz3irp++3jVt3SvOUeEmMswPbfNs122ikO0h11UazXXdACVyfb5cQkyWzl5XhUuvvNRkOY3yyH/qOb5CQapnu3r5Jlq/bIsvX6/25fIdfPNh5i789TX8WaBBfiKzdagIO3eWobqkyZ6X3Ol3z25+hHdl5dlf3q+/1/RrNaWB7v04ufw0QXJsVKVENG1v9ws3W29HJLWXX9vWyZHWa9OvR1sqqqVk98wrNFu86lflmBRHqidf7K9xkyIxv3tn8jHJltyw0mV9dxX198z4Li3Tdr8vD1RoelVDOOPfwMtZvt/jM71vJGQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggg4CNAAKIPByc1JaABON5Zuuxj71f72PuaWuf95d12//33S+vWra2q5cuXy+TJkyUx0RUQt3HjRlm0aJF069ZNUlJSZMiQIVa7Pd6+lr4OHz7cCTicOHGiaECid7t9rGP12P6yz+1X/35WvW6bG2K+NC5Kv+mrfe7/WkZ7aYlnC13rut7zeY3/ctZS6X5QUwk329D265Qsvy8xwVhe7Ud0NcFapmTn5slGEwBoBb252zUAr22q2Z7XxC9N+GWdZO02gYTudcaarYYLzbbHBYVaEbj+ocd4Mkf+umCNSYZngunc8z5+2SFiBz5uy8yRobe+aOYukfgWXUzQXoRxNIFWXh455rq6PbPeQ69OJtAvxMzndb/hUXHSpUdv6z702/otO3zavdcX4Gaem3e7fd1jujd1tnJ+6YvfJTSmTcC69H5aN46T+0xwnJadZgviy+5/U+KatDeZ+DT7nPs+3D66PXW3g5pJ13bNpF//o2XpBhPwZ92nawl2nJduu7spU7cNt8db01vfvO/b9vS0muncLpu27ZTOJgCxW9sUE8AWKrm7TTCa13O/8DhX8Ke+d5at3y6hkXGyeO02Z6r/nNhBnpm40LU+9/ojI6zoN9c69JG717fQbMXdt2tLiTZbFA8w76efF6W770s7iVx+Ynsn6O+vpZqN1HVf8THhMvSINtb7a01ajsxYmOYzzl5vq5QYkwVQA/TEbE2cJvPX50hcahNnHmuQuY7dX18jY5PNdtVme2qTkbO0uNBcP0yam6DYq87oa82zfG26LF63Q6ISm5rzUhP8mie6hXRCXLT13nx24mLPfKb98E6NJcwEUmqZPNNkQvV6//lfX5diFXPg+uzrganx8l+xIUP6mMygmv11wCGdZPaKTK/2EJNZtLWkJLm2xNbtxXXbZfv9kZwQKRlZ+Z7+Orl7/u5tkq0gV73+8vXbfK4fMM5ejxkcMK6C+/O+D+u6Xte37ptvCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAkErsGz1xqBdOwtHAAEEEEAAAQTqQqBTO9dujnVx7WC8pivyIhhXzprrvYAG4VRUymqPjIyU1NRUadGihfTp00cGDRokd911l3z44YfSq5crIEwzFl5xxRXOVsx6Dd0m9sEHH3QH5ohcdtllcvfdd0ujRq4tfrWPzvn000/LUUcdpaeSl5cnzzzzjGgmt+qUstZfnXmqM+bz6UtM8J5ra91HLzlEmjT0ZNXTbYObJsVY0+qWyaFhri1m7etcd2oXGWYyFQ4b1Ek6NHcFQ9ltlw/sKF8/erI8eOHB0q6ppy02KlyeurKvdGjh2uJXA73yizQ6ylVGmTY7+HDT1ky56uF3pFFyI+nep5+0aZokrRrHSqsU82VedS4tGrC2aoMrS59m2rt9aA/XZO7v8WZr3FHXHOvUjZs21zmu7sElJ7gC9NZs2ibZJS4j/7kiw0PlpRuOMIFpIdYW0Bfd85qExKaawDfPe8l7zMNvfme97/Tt/uLNx8ng/h0lrEGM9dUgJlaO7NVGxt1zsrx/7yATXFbxZ8J73rKOn3j3R6s61Mzz2o1HOZZaec3gztKphSsg94fZS8WkxbP6/rUywwpE1RPdIviUQ1ta9ep7kQlYnPrwIGdZ3st7bco/Ym/D/MC/D5aOzROscfptQPcmcpE702WGCTadPn+z09bB9LPfX9ef1sWp9z946KI+znXvfvYzE5znWpd/P/s8wjyXXm2TrFN9TyckJshlp3SXD+8+3npW2vDgS5N8nlNoeIRM/tmVHVU/E7ebz4baadHPzGP/OdQ61s/SJ+YztbdlyiwT4Ogu/7vscGmtgb5e5ewj28hBLZKtGs2qad44TuvH9xwv+jX4sJY+z/WE3s1kzNX9nH6vT5rtHOtBdcf5TMIJAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQTYEQk8nJEwFRzUkY5hGYv2S1ddKzSztP5QF4dM4551hZwPTtpYF6lb2+9tprkpTkCi6qiCstLU10i2UNGtTsh97z5uTkyDHHHCMjRoywAhLteYpNcJH29w4Y3LVrl9x+++2ydu1aK5BR5+nYsaM89thjPn21Xrdp1myL48aN87leWfeVftDl5rIa4KQfq6q9Dju5s7NtscZG2QFS+sks0W+mTJ+fJg+O1wA817xFeVnyn6ObybXnHWu167e8gmKJjAh1xufszpfBt7wmkniQM07Hf3DXsdIyxRUYdfMrv8pfK03GPve8w03A2AXHaH9X0ctrlkIN/rKLBmuddM0YKU4y2RD1Fs239+881goutPtU9PrNXxvl0Q//tsZFZK2Qr5+/wczvyvyYm1ckG7blWtdr2yTOuZfXv/hZXv1mtdkyWYO3XK576qZbPtvBdg++PEm+XxFibflsz2e/XmsCNDUwr7Iy1wT23fTKb7IrY73cevbBcvGQ/s4QfW4FZmvdqEjXfWmDWh4z4itz5Fr/T48PNtk3Q+WTn5bK2CkrnHq7/UfTrtkhP5+xTMZMXm6179q2Rp67+WQ5srdrfTqnZrCMMZkrI0xfLXn5hXLcsKclopkG7JZKcWG+nNq9gdw/bIjVrt90nDsOz6nTg3e+WSivf7dWe0hB7g45u2+KjLjsFKePPp9QE5gZ7b4v/Xxc87/3ZEGG2YI6MtYa1+egRjL22iOsMZsycuWCkdOtevu+9PVg0+e5a11esxeukWufniIxKW0D+uk67HEHNU2Qd247WopNFj9df7juee0uBYXFMvyJ92XO6uyAeUJ2rpGvRl9pbV2t3ct6Nq98NkPe/mmThEdr0K3r+ejrtEcGOc9QA1LtomvQousY9MDX7kDNECnI2SZ3n9tThp7Qx2nX93P27kJp2ihaGsWZ7c1N2Z1fICdd95yEpmiAput69vO2OphvmolUr2n/PND6yTPmyUPj/pDopGbmbO/G2eOr8vrzk65t0HUNFAQQQAABBBBAAAEEEEAAAQQQQAABBBBA4EAS4O/9DqSnzb0igAACCCCAAAIIVFfAE1VU3RkYh8AeCHgHAXoP00CmsorW7969W+bNmyfXX3+92IGNCQmebGz2uNjYWJk6daoMHTpUVqxYYYKDXHPqFsv2dTUYcfbs2XLqqafK4sWLJTrakzlQsyh699V5dZzW6dz2uXVQg9/iTCY6DTTyDzbSADG7Pj7GN4theFS8vPDpL/L4m1OtLH26HA12s4OV1qVtl5OuHi0FYYFOJcVm21d3KSostA+t11n/rJZNW3c6dboG7+DDBSZr2wlmXit7oFcEm/eczuByDuzgLW3eWRAuZ9z8vCxe7cqgp9kRO7dMlINM9kW9l9y8Arnv+Qky5r3vJDLGlX3RnnZP3TT7oS5Zs/p99cd6E3zoCQ6059TXiCpmxLRddLvfJ976Wq5+dJxkZu+2ptK1ewcfZuXmyyffzfG+jBVapxV2kKlPo9eJd7te66pH3pU3vpjpBBEmxkQ6wYe6lfHxVz8txdGurY11mrCIKBPkuFhGvjXNGqN19qPTILeR73znrKHYBNvaJTImScabrJM3jfxA8gtd7xl9PnbwoW5NfcGIV+WPZRkm+NCTTbLQ6z1VXOR5r9nz6usIE6SnRT+jI0z2w6ik5tZ5hd/sz7P5rNjBh4VFJea9kyYnXTtaZv29QqIaamCeb8k3n4GB144R/Uxo8X42ug2yfoae/3imCT4M/KzoM7Q/g96z2nW6Dg0DtIt+Lu9/YYKMff97632mzpr1s1vrhk7w4W/zV1nryQ/1zY7405/LTdCqK6upzqcBpfbnWev/9/pXllUDswW1d6nuOO85OEYAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBKorQAbE6sqVM45/CeWCOfvss63gPQ0wKitToH/99u3bJT8/vxxVT3VUVJSVKdF/vH1eUFAgO3fulCJ34FO7du3k8MMPt7Zb/vXXXyU9Pd2aLCIiwprHzoyo4zXT4bZt26x2Pdaia9c+8fHxVrCifZ3yXp0MiBos5UQm6YEGQ3q9erUX5mZKrslsZ7WbbYmtYD5108BJK0jOZJxr2FQamOAzZx7TXrgrU7LTllnj2rdKkeP69pAN6Rky/c8l5n4LrGxu8c07m3vQQDvP9XO3rJb8rK3W5RJb9zIBahqE6WovyMmQnPSVJqNehHQ5qJl0aN1EGibEyfyla+WvxetMIFqhFdCW0KK7tT4z0BQTKLh1lZlT7dzX8bo/n/s27bGN25lMhiZAznCUlhRL1oZFJkvfbmmclCCH9uwo3dq3lG2ZufLnvKWyZNUGExwnEte0g0TG6hbInvkLd+0wbmut65uJXG6mXc2sezbzR5uANNvtywcHSpLJQPej2Z74nnfmGh87AMzruZjxBeZ55Gw2rlptFd9218JLJTq5hclE18L0cGW+y0lfZY5LTRbKCOndqbW0bZkq6zaly6KVmyV7125rXUntdMtfM5/xyVz3t5QUFUhcE3Nv1vbOXtcx7TvX/2NlL4xLbS+RXpkfd+/YLLtN1kXNRNi7c2vp17uTrN24VWb+tURyduVJeINYSWjeTSPtrNXr9TRjZtbGJVZGRc2e2NE819/mr5SFKze51uN2dZzdz69wd5Zkb1pq3Vfb5ily9GHdpcB8tn76bb6kb8+y7imhZQ/zntDMfq71a8bFnWv/sU4bxKdIrFm/89zc1ykpyJNMc39aos3Wy9FWAKLv/VvTWT3c9aXF0js5R1o3T5XMrF0yY85i2WFe9UJhkVHmPdLJsw6v959+VnM2L5XC3dkSZTJFHntYV2nZJFl+mr1AVq43nwMz3rlv9/pc0Z0mu+TGxdYz0vWXFGmwruv9Z21rbpalPx8SW/W27tX1rVTys7dJrnkvaHbLHh1bSp8enSUpIUYWmuDd3+YulKwc84xMwGZ8y65mvP4bANf97Vw3zzzvPFHnjq1SpZ15Rrq99R/zVsr6dA2eDDGfnTbSIKGJ9f6xhplan3GtzbhWTSVjR7b8MX+FGafZTb3G+d2fabTa7ftyXr38dPzMUUNcXfmOAAIIIIAAAggggAACCCCAAAIIIIAAAggcYAL8vd8B9sC5XQQQQAABBBBAAIFqCYRXaxSDENhHAhr8p5kJIyMjra2S9byiooGFKSkpkpWVZQUdrl69WvTLLjpesxnqlx0Yabfpqx14aNdp8JJmTdTXPSoaU2RFCJUzzqu9VIPnTCCap79GNplQIBMEqQF6elJiveqc7mLaI2KTTKBZV8nZssoKpFq5/ifT6AqQanAeU00AAEAASURBVJCQIjEm0E/vMbC45td5ffO3mWx5DWJMMFyy7DJbyWrA4V+L15rhOodrXs0wp0F3IdZzsOsDr2ANccb5t3td3wQLJrToJrt3bJStO9Jl2ow55usv53rhUbESl9xG9NWnmCn0mQS46Uh1E1+3LiarogYfahn70c8m+FCDOctZvxN8VU67TuLXpGaJDeJEt0gu2JUlsxeuNF+ugETtHBGdaIIuU3Skq5jxruAzu8LvVee3LqIv1onTQYP1NOAu1zz3uUvWmq91ps39fBKbmMDI1u4xnkVqZr745l0kxwSszvhruflyBa5qdkQNCM1JX2EFcDpXcl8/wmQFTGzVwwpKXbMpQ9ZMmu5eV6l1T7Gp7SQ0XF0973PrPeUe7yza72B3pivwUd9HmtUxoDjjPfOWmEhUDR4V0bW77jcsMtqso6EJYmxu3pP668zd32u8Osc16yS7tq6VvOyt8vWs+c740PBIiUvt4BWMapq0uMeXFOX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" + } + }, + "cell_type": "markdown", + "id": "366bebcc", + "metadata": {}, + "source": [ + "## 1. HRLDAS and Noah-MP Repository\n", + "\n", + "We use the GitHub online platform to manage both HRLDAS and NoahMP code. Please see their links in:\n", + "\n", + "**HRLDAS: https://github.com/NCAR/hrldas**\n", + "![image-2.png](attachment:image-2.png)\n", + "\n", + "**NoahMP: https://github.com/NCAR/noahmp**\n", + "![image-3.png](attachment:image-3.png)\n" + ] + }, + { + "attachments": { + "image-4.png": { + "image/png": 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" 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" + } + }, + "cell_type": "markdown", + "id": "0c16b913", + "metadata": {}, + "source": [ + "## 2. Download the model code\n", + "We encourage obtaining a copy of the model source code from the GitHub repository, with the \"git clone\" command. Since the NoahMP model is organized as a submodule under the HRLDAS driver, don't forget to use \"--submodule\" option when making the copy:\n", + "\n", + "**git clone --recurse-submodules https://github.com/NCAR/hrldas**\n", + "\n", + "If the \"--recurse-submodules\" is not specified, the Noah-MP source code will not be downloaded.\n", + "By running the command above, you will get the following message:\n", + "\n", + "![image-4.png](attachment:image-4.png)\n", + "\n", + "\n", + "Then you can check the **hrldas** directory: \n", + "\n", + " `ls hrldas`\n", + " \n", + "![image-7.png](attachment:image-7.png)\n", + "\n", + "There you go! It is a very simple way to download the latest version of the HRLDAS/NoahMP model source code." + ] + }, + { + "attachments": { + "image-3.png": { + "image/png": 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" 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" 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" 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" 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" + } + }, + "cell_type": "markdown", + "id": "03335197", + "metadata": {}, + "source": [ + "## 3. Configure and Compile\n", + "\n", + "Now we can start configure and compile the model.\n", + "\n", + "`cd ./hrldas/hrldas`\n", + "\n", + "`ls`\n", + "\n", + "![image-6.png](attachment:image-6.png)\n", + "\n", + "Start with `./configure`\n", + "![image-3.png](attachment:image-3.png)\n", + "\n", + "Type your compiler option in number in the command line. Let's say we will use intel compiler with MPI. That's option 4.\n", + "\n", + "A new configuration file **user_build_options** will appear in the directory. Go into the file and edit the correct path to necessary libraries. \n", + "\n", + "For building HRLDAS & NoahMP, two libraries are necessary, **netcdf** and **jpeg2000**. Please specify their paths in the **user_build_options** file. Here is an example how this file look like:\n", + "![image-5.png](attachment:image-5.png)\n", + "\n", + "\n", + "Note: Sometimes users will need to modify the **F90FLAGS** to work with their local computer environmental setup (e.g., the optimization level \"-O0\" can be changed to \"-O3\", etc.).\n", + "\n", + "Modify the paths for **LIBJASPER** and **INCJASPER** for jasper and **NETCDFMOD** and **NETCDFLIB** for netCDF library.\n", + "\n", + "After editing the **user_build_options** file, we can now compile the model with a simple command: \n", + "\n", + "`make`\n", + "\n", + "and the model will start compiling through each module file. If you want to save the compilation log, you can run this:\n", + "\n", + "`make >& compile.log`\n", + "\n", + "Search through the **compile.log** file, if there isn't any **\"Error\"** message, and two executables are successfully built: **hrldas.exe** in **run** directory and **create_forcing.exe** in **HRLDAS_forcing** directory.\n", + "\n", + "`ls ./run`\n", + "\n", + "![image-7.png](attachment:image-7.png)\n", + "\n", + "\n", + "`ls ./HRLDAS_forcing`\n", + "\n", + "![image-8.png](attachment:image-8.png)\n", + "\n", + "### Congratulations! You have successfully built the HRLDAS/Noah-MP model!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorial/Note1_Single_Point.ipynb b/tutorial/Note1_Single_Point.ipynb index 098f932..f8928a9 100644 --- a/tutorial/Note1_Single_Point.ipynb +++ b/tutorial/Note1_Single_Point.ipynb @@ -148,9 +148,13 @@ "source": [ "## 4. Edit namelist and run model\n", "\n", - "Now that we already have the 30-min forcing data, we can go to the **run** directory and edit **namelist** and start the model run.\n", + "After creating the 30-min forcing data, we need go back to the original `./hrldas/hrldas/run` directory and edit **namelist** and start the model run.\n", "\n", - "`ls run`\n", + "`pwd`\n", + "\n", + "`../hrldas/hrldas/run`\n", + "\n", + "`ls *`\n", "\n", "![image-12.png](attachment:image-12.png)\n", "\n", @@ -203,6 +207,14 @@ "\n", "### Congratulations! You have successfully conducted the single-point simulation. " ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c78be20b", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/tutorial/Note3_Output_Additional_Variables.ipynb b/tutorial/Note3_Output_Additional_Variables.ipynb index 759fce2..d1b8512 100644 --- a/tutorial/Note3_Output_Additional_Variables.ipynb +++ b/tutorial/Note3_Output_Additional_Variables.ipynb @@ -151,7 +151,8 @@ "metadata": {}, "source": [ "## 5. Recompile the code and check `BTRANXY` output\n", - "Again, `make` to build the modified version.\n", + "\n", + "**Note:** every time you make changes to the code, you would need to `make clean` and `make` to build the model for your modified version.\n", "\n", "We will use the **single-point** case and exam the output `BTRAN` variable.\n", "\n", diff --git a/tutorial/Note4_Code_Development_GitHub_Pull_Request.ipynb b/tutorial/Note4_Code_Development_GitHub_Pull_Request.ipynb index 7e4959b..10954a1 100644 --- a/tutorial/Note4_Code_Development_GitHub_Pull_Request.ipynb +++ b/tutorial/Note4_Code_Development_GitHub_Pull_Request.ipynb @@ -189,23 +189,25 @@ "source": [ "## 5. Push the new commit to your own `develop` branch\n", "\n", - "The next step will be push our modifications from our local branch to remote branch (charles):\n", + "The next step will be push my modifications from my local branch to remote branch (charles):\n", + "\n", + "**Remember: please push first to the submodule repo then to the driver repo** \n", "\n", "`git push [alias] [branch]`\n", "\n", - "`cd ./hrldas/`\n", + "`cd ./noahmp/`\n", "\n", "`git push charles develop` \n", "\n", " push the new commit to my own develop branch. Then you would be prompted to enter your GitHub username and password (token).\n", "![image.png](attachment:image.png)\n", + "![image-2.png](attachment:image-2.png)\n", "\n", - "\n", - "`cd ./noahmp/`\n", + "`cd ./hrldas/`\n", "\n", "`git push charles develop`\n", "\n", - "![image-2.png](attachment:image-2.png)\n", + "![image.png](attachment:image.png)\n", "\n", "**Now these two commits have been pushed to my own fork and we can view them from the GitHub website.**" ] From 7008cc061f2b11d5d09baa969eace95ac83398ac Mon Sep 17 00:00:00 2001 From: Cenlin_He Date: Thu, 25 May 2023 16:31:38 -0600 Subject: [PATCH 33/45] remove duplicated file --- tutorial/Note0_Download&Compile.ipynb | 170 -------------------------- 1 file changed, 170 deletions(-) delete mode 100644 tutorial/Note0_Download&Compile.ipynb diff --git a/tutorial/Note0_Download&Compile.ipynb b/tutorial/Note0_Download&Compile.ipynb deleted file mode 100644 index 2a8f63d..0000000 --- a/tutorial/Note0_Download&Compile.ipynb +++ /dev/null @@ -1,170 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e93a0e24", - "metadata": {}, - "source": [ - "# HRLDAS/Noah-MP GitHub repo, Download and Compile " - ] - }, - { - "cell_type": "markdown", - "id": "37b61ae1", - "metadata": {}, - "source": [ - "This is a short introduction to:\n", - "1. HRLDAS and Noah-MP GitHub repository\n", - "2. Download the model code from the repository (git clone)\n", - "3. Model configuration & compilation" - ] - }, - { - "attachments": { - "image-2.png": { - "image/png": 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BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBGpVoLS0VCZPmeZzjWuuHhYQfKgd/IPOfAbV8MnpQwb7zLhg4SJ5xAT0+RfNynf98Jv9qwPOmzZJ9albtGixz7l9kpm5U2bPnmOfBrz+NP1nnzrNFOgffKgdFi1eUm7wobYPHHiivviUq669QXbvzvOp06C/K4cFZlz06WROBgw40qfq199+9zn3PtHgSL2O/VVRxkfvcRroOPiUQTJ+3Ftyvsmw6F00QFLfSxQEEEAAAQQQ2H8EyIC4/zxL7gQBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCoFYGQkBCJioryCZYrLmML4rVr18mrr79VK2soa9Jzzj5LXnvD93rj3/9Q5i9YKANPOkGSGzWSP0ygoGbeq0rp5pehULMP6rbCh5tMgXYpLi6Wx0eOsk/LfA0J8c0FpNs/+5ddu3fL06Of9a/2OT/qyCMCsjxqMOUpp54hg0xwYqdOHa0gxmlff+uzVbPPJF4nZ5w2xCdL4qeffSFH9D+8zCyIT4x8ysdWt9p+641XrNkuuuRyn0BTfQ6jRv6f6PvEuxzUrp33qcTGxgb08enACQIIIIAAAggEnQABiEH3yFgwAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggsHcCP5ntlDWIrLISGhYqr770guh2x8cfd4xowJpd7nvgIUnfskWOHnCUREZEyN/z5suTo0b7BCnafWvrtXPnTnLtNcPk5Vde97nEPLMW/fIvGgCXm5vrX+2cd+nS2Tm2D/514aXWNTqbYL9tZkvmiRO/FM20WFE56sj+MmHiJKfLV1OmWoaDTx4kLVo0l8VLlsgbb75T6Twa9Pn4Yw/L5Vde48ylB+vWr5fX33zbp05PkpOTJSMjI6Derjjl5IEy0jwj7z6333m3LDaZGI84or80b9ZU0tLT5Z13x4u+R7zL0LPOcE5PNvN4Z7r87PMJ0jAxUc4883Tp1rWLMd4l33z7nTz3wkvOGD0YcNQRPuecIIAAAggggEDwCxCAGPzPkDtAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE9ljAO4CsosEFBQVW8NwxRw/wCUDUMWOfe9H6qmh8bbfdcdstsnNnlnzw4ccVXuq+e0fI3Ln/yJSpvltJew/q3KlTQMZBbfcPcPQeU9bxkSaYz79o8KZ3AKd/e3nnmnnwyScek7vuvq+8Llb9wJNOtLZYfvChR8vtFx8fL8+OHiUX/+cKnz4azFhWQKPdSddw6uCT7VM58/TTxP86b7z1juhXReXG4ddX1EwbAggggAACCAShgG/e5yC8AZaMAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIFD7AkNOPUWuufrKSi805umRlfapyQ5hYWHy2KMPySsvPS+HHXpIwNRa9/EH78mwKy4LaPOv0EyPH7z3trVVsH+b9/mpg0+Rf11wnneVz3Hz5s3kxeef8akr6+Teu++0Ah7LavOuO+/cs+XLiZ/JkFMHe1dbx61btZKnRz0hL73wrIT6bYEc0NlUHGWyEL70wtiymsqs02DKF8y9hId78hslJibIF599JHrtqhTtN+XLL6S73xbXVRlLHwQQQAABBBCo3wKePyHU73WyOgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBagpEmC2Sq1tCQ0OsoaGhoXL3XXdYQWeabdB/G+ITjj9W7rz9VmmY1DDgUvYc2hARXvW1hHkFvdmThpQRZKd1gwaeaH3l5+fLlq1bTTBeqDRpkuoTOJeTk2NPY71qH//Stm0bKwhx9DPPBWxDrH1H3Hm7XHH5pfK/x57wGeq/1sGnnGwFPo5+Zqz89vsfPn07dmgvd915m5x04gny3vgPfdp02+uySo/u3eT5saPl2TGjZMuWrVJUXGRtuRwTHe10162PvUuI+9l51+mxbsX843fT5K13xsm748b7N1vner1bb75RjjfPtSzzg3v3kqlTJsqYMWPl+x9/ktWr1wTMo/epmTNvveXGSoM6AwZTgQACCCCAAAJBIRBSakpQrDRIFjl/yWprpT27tAuSFbNMBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwF+Dv/fxFAs937d4ta9estYLTWrduJTExMYGdarkmLT1dMjK2O1eJjoqSgw4q++9qi4uLpfchh0tubq7TX7c21uyC5RUds3z5CtmRmSmpjRtLq1YtJTIysrzu5dbrPCtXrpLCoiJp3qypJCUlldvXuyE7O1vWrd/gXSVdu3QWDQYtq1w//GaZOu0bp2noWWfI6KcqzkiZl5cnmzZtlvQtW6xn2TglRVq2bCENGjRw5qnKgQZ+rl27TrZuy5BGJghVn8OezlGV69AHAQQQQAABBOqXABkQ69fzYDUIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAUAho5r2uXbvU6Vqnz5gpd99zv88a3nrjFTnu2GN86kpKSuSJkU/5BB9qh8rWr9s7dzEBf3tbdJ5OnTru8TSa6fC0M3wDJG+47hq54/ZbAub6+pvvfIIPtUPPHt0D+vlXRLmDNssL3PTvX965BhvqPVbnPsubk3oEEEAAAQQQqP8CZECs4WfEv4SqYVCmQwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKAOBPh7vzpAr8Yld+/Ok779BwQEFg4+ZZD06tlTWrRoLpol8fMvJsqSJUt9rtD/8H7ywfh3fOrq48mwq6+X73/40WdpRx7RXw45pI/oFsc7s7Jk+vSfA/rogH/++kMSEuJ9xnKCAAIIIIAAAgjUpAABiDWpaebiP0RqGJTpEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEKgDAf7erw7Qq3nJ1998Wx77v4q3Gfafukf3bvLSC2OtrYb92+rb+Zy/5sq551+4R8uKjY2VV19+XjRQkYIAAggggAACCNSmQGhtTs7cCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII1KbAsCsukzdee1mSk5OrdJmLLvyXfPrx+0ERfKg3dKjJdPjt15Olz8G9q3R/hx16iHz3zVcEH1ZJi04IIIAAAgggsLcCZEDcW0G/8fxLKD8QThFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAIQgH+3i/4HlpWVrZMmPSlLF++QpYuWyaLFi2xbqJ9+4OkZ4/u0rVLZ+luMh8e3LtX8N2cWXFxcbF8NWWaLFiwUJavWCnzzWtGRoa0a9fWuie9vy7m64j+h0t4eHhQ3iOLRgABBBBAAIHgEyAAsYafGf8hUsOgTIcAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAHQjw9351gM4lEUAAAQQQQAABBIJOgH/2EHSPjAUjgAACCNSVQGFhoWzZslXS0tNl8+Y02b5jh8THxUlq48ZmW4dG0rhxiiQlJUloaGhdLZHrIoDAXgrMmvWrvPr6mzLnr7nWTPqvoi+5+N9y6uBT9nJmhiOAAAIIILD/CfB7c/97ptwRAggggAACCCCAAAIIIIAAAggggAACCCCwpwJkQNxTsUr68y+hygZ67vmXTJrz5WU3mtpbbx4umvq8Jsvf/8yT1994u9wpQ0ND5OGHHpCkhg3L7UND2QK5ubly3wMPSVFRcdkdTO39942Qpk2alNu+vzRM+/pbmfzV1Epv5+yhZ8oJxx9bab+a6DBh4pfy3fc/VjrVRRdeYKXgL6/jypWrZMyzzzvNy8xWBZrO37u0btVKevbs4V0VcKyfNQ3M0/dD06ZNpUmTVOlhAnpioqMD+ta3ip07s2Til5PNM54iq1atsbYxqMoaTzzheDnj9CFy/HHHSHx8fFWG0AcBBOqBwFtvvyuP/O/xMldy7TXDZMSdt5fZRmX5Av6/S8rr2atnd7n6qivLa67R+oWLFstLL79W6Zz9+h0ml158YaX9DoQO33z7vUz68qtyb7VLl04y/Ppry22vTw0jRz0t69dvLHdJ/77gPDnqqCPKba9OQ1U/B1WZOzIyQlJTG0tKSor1DyD0z1gH9+4t0dFRVRlOHwRqVIDfmzXKyWQIIIAAAggggAAC9VSAv/erpw+GZSGAAAIIIIAAAgjUKwEyINarx7H/Luabb7+TBQsXlXuD6zdskM8+fl/Cw2vuLbnCBEp9NaXiwLAbh19PAGK5T6X8Bisoa9Lk8juYlmFXXnZABCD+M29epe8zhdq0adM+CUAsLi6WkaNGS1paml62wnJIn4MrDEBcu259pfe2bv160a/qlIsu/JcMPesM0XWEhIRUZ4paGzN//gJ5/8OP5cOPPqnWNb7/4UfRLy2aNe2ySy+Wvn0PrdZcDEIAgX0jsGrV6nKDD3UFL7/yugwaeJL0Obj3vlnQfnKVqvwu0VvVP7NdcP55kpiYUOt3Pm7c+Ep/v+ki8vLyCEB0P41/zD/sqejP1fpn+WAJQJwwcXKFf07q3atHjQcgVvVzsDdv/rPOPEOGnHqyHHXkkQQj7g0kY6sswO/NKlPREQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ2O8F2CNyv3/EwXGD8+bNlxdefCU4FssqEaiGwNy//5ElS5ZWY+SeDfnttz8q/Ev1PZutdnuPf/9DOff8C+XkwaeLZqOqD0XXcfqZ58gZQ8+rdvCh/31MmTpNzv/3xXL/fx8WDd6lIIBA/RT45dffKl3YjBkzK+1Dh+oLaMbZ2i76c/ijTz6r7cswPwL7XGDCxEly1TU3SN/+A0QzVlIQqG0Bfm/WtjDzI4AAAggggAACCCCAAAIIIIAAAggggAACwSNAAGLwPKv9fqXPjH1eNEiLgsD+KrAvAh40a1+wFd3W+bQzzpZ333tfSktL62z5upW2rqOibK17szgNuDxx0Kkyddo3ezMNYxFAoJYE1pmsr5WVNWvXVdbF2qp98+Y0Ke+roKCg0jkO1A7vmd8DtV0mTS5/G+HavjbzI7AvBHJzc+Wa64bLbXeMkMzMnfviklzjABWoqd+b2dnZ5f7O1N+lOTk5B6gwt40AAggggAACCCCAAAIIIIAAAggggAACCASPQM3tdxs898xK67HALbfeKVO/miAxMTH1eJUsDYHqCXzy6edy5x23Skx0dPUmqGRU+pYtotn2grU8+NCj8scff8qzY0ZJWFjYPrsN3bZ69Jix8uLLr9b6NTMyMuT64TfLffeOkGFXXFbr1+MCCCBQdYEWLZpX2rl5s6YV9ikpKZHDDh9QYZ8H7rtHrrj80gr7HKiNGpA+56+5cughfWqFQIPcdftlCgIHgsAXEybJnDlzZdKET/fJ1uYHgin36CtQE783dcbhN90mM34uP8PwiSccL6+/+qLvxTlDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQqFcCZECsV4+Dxaxbv14eH/kUEAjslwKakWbKlNoLEPzii0lB7/bVlKn7dDv2Xbt2ydXX3rBPgg+9H85j/zeyxrZ49p6XYwQQqL7AYYcdWung/v37VdinKllci0uKK5zjQG/88KNPao3gr7l/iwY5UhA4UAT0v61uuuV20X9sQUGgpgVq4vemrqmoqKjCpZWWllTYTiMCCCCAAAIIIIAAAggggAACCCCAAAIIIIBA3QsQgFj3z4AV+Am8N/4D+Wn6DL9aThHYPwTe/+CjWrkR/Yvld/aTrE5jnn1Ofp45q1ac/Cf9nwkE/OHH6f7V++T8nvv+K19OnrJPrsVFEECgcoHu3brKNVdfWW7HM884TY4ecFS57TTUjMCnn31Ra9vG1mZwY83cPbMgUPMCmllu5JNP1/zEzHjAC/B784B/CwCAAAIIIIAAAggggAACCCCAAAIIIIAAAgg4AmzB7FBwUJ8E7rjrXvlm6iRp1KhRfVoWa0FgrwXm/v2PLF68RLp27bLXc3lP8Muvv0laWpp31T457nNwbxkyZHCZ18rKypLVq9dY2aaWLFlaZp/yKq+74WaZNeOHWt0yUAOdP/jw4/KWUGZ9cnKynHfuUGnbpo20bNFCmjRNlfz8Atm2bZssWbJMpkz7WubNm1/m2LIqNStRr549pE2b1mU1U4cAAvtYYMSdt0u7tm3lmbEvOD9T9XN/1ZWXy7ArL9vHqzlwLzdp8ldy6cUX1ihAZuZO0eBGCgL1VeD8886pcPtxzbC6afNmWblytSxbtmyPsnm+9sZbcsklF0qrli3r6+2zriAV4PdmkD44lo0AAggggAACCCCAAAIIIIAAAggggAACCNSwAAGINQzKdDUjkJGRIff/92F58flna2ZCZkGgHgl8+PGn8vCD99foivY0kK6mLn7TjdfLccceU+l0JSUlMu3rb+TRx0Y6QT0VDdLtqjUA5ZKL/l1Rt2q37dyZJRroXNXSulUruXH4dXLG6UMkMjKyzGHHHnO0lT1t7dp18tjjT8q3331fZj//yiefGiMvPDfGv5pzBBCoA4GQkBC54PxzrS/9OREeHiaxsbF1sJID+5JvvzPO+vmvz6Omiv5OoSBQnwUGnzKoSn+msu9h2fIV5s9Vj8vMmb/YVRW+fvLp53LbLTdV2IdGBPZUgN+beypGfwQQQAABBBBAAAEEEEAAAQQQQAABBBBAYP8UYAvm/fO57hd3NXXaN/L5FxP3i3vhJhDwFnjXbJW8a9cu76q9Ok5LTxf9vNTnEhoaKqcOPkV++Haq3HLT8CotdVwtbin98KOPiQY6V6Vc9p9L5Ifvpsq55wwtN/jQex7NZvjqy8/Lyy8+511d7vGUqdNkzl9zy22nAQEE6kYgMTGB4MO6obey59bkz0XNHKdBjRQE9ieBTh07yLi335AxTz9Zpdt68613pbCwsEp96YRAdQT4vVkdNcYggAACCCCAAAIIIIAAAggggAACCCCAAAL7hwABiPvHc9xv7+L2O++WDRs27rf3x40duAJTpn5dYzcfTIG60dFRcvNNN4huM1hZWb5ipeiW1TVdfv3td/liwqQqTatrffCBeyUsLKxK/b07nTzoJBk/7i3vqnKPnxj5VLltNCCAAAIHosCHH31SY7etwYyrV6+psfmYCIH6JHDWmafLlZf/p9IlaXbpP/74s9J+dEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE9lSALZj3VIz++1zgtjtHyAfvvVOtAKB9tVjdXjYjY7toJrp085WTkyuNU1KkSdNUaZKaKvHx8ftqKdZ1NLPb9h2ZsmPHDmtd+fn50rBhoiQ3aiRJSUmSkpIsUVFR+3RN9sU0C9H27Wq1xdqKNzs7Rxo3bizNmjaRZs2aiQaoHQhl3PgPrIx6e3uvxcXFMu69D/Z2mn0+/t6775Lvf/ip0iyEP/88S/oc3LtG1zdh4pdVmu/Wm28U3WJ6b8qRR/SXJ594TO66+74Kp/lzzl+ydt06adO6dYX9qtKo28bqz6HNaWnWz4CEhERp0iRVmpqvRuZnQE1uaVqV9Xj30Z9FaWnpVmD51m1brc98p04dJalhQ+9uVT5ev2GDbN6cZr2PCguLrJ9t+jO3WbOmEhMTU+V5aqJjTk6ObNy4yfrKMUEe7dq2kQ4dOlTrZ5p+rleuXCVbt24zP8t3mN9/oZJq7sv1HJtIRERETSw5qOfYkZkp6ea9pL93M82xbpOs76OmTZtKy5YtgvreWLxL4LPPJ8h9946o9s8Hb8ePPv7U+7ROjouKimTLlq3Wz2b9GV1cXGJ+LjeR1CaNrT8r7ss/l+nviU2bNsmGjRslLy9f2pqfV+0ParfPf26W9SD059828+fYNPOzfZP5Ujf92Wf//GvQoEFZww74uttvu0V++Gl6pYG2G8xz39sSDM8ofcsWWbF8peifNRo3TpWWLZpbfzaIjIzc29uv8vj68Ocx/e+uLVu3yo7tO6w/T+jvy6KiYvPfgw2tPxMmJzey/pu1Ov/QpsoQ9bxjfXhOZRHt2r3b+jyvM/99oH/G1eySnc2fmfXPORQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKA+ChCAWB+fCmvyEZg9e468+dY7ctWwK3zq6/pEg+gmTJwsn3z2uSxZsrTS5Zxw/LHyrwvOk+OPO1bCw2v2o6fbqc3+c478+ON0mTxlmhXYV9mCdD2DBg2U44492vqL78r67227/kXgRx99Ku++936FQWcDBhwpl116sVnXMfU66HRvPebNmy8LFy2W7t267tVUM2f9UqXnvVcXqYXB+pdo9959p2iW04rKxhr4i3Lv+TUA7ivzGams/D97ZwEmtdWF4VNKixR3h8UpVrRYkcXd3aFAKYWiheLu7u7uUNyhuDuUFnfX4tD/nvBnGElyM7Y7s/ud5xkmuX7fTJK75Ms5AQHJ6OfmTWXFTOVXrlRBuU7wtczIjhw55pIAkee0ecs2WrBwMe3dt9+oCyUvQ/pvlWtRmdKllIeZ0goaBfr2G0iXr1zRyPmUVLtWTeJrjGp8jZw8dbqu58mYMWNS9mxZhAenBpQjRza1muY3hy9X2lqxmq5dv65ZhhNLlypJ1atVJhaBmn2wziLCtu07CWHQe912e/fsTgmFkIGNxee7/txN4ydOJr3jGxCQjHJmzybErC0oQYL4XE3X2OPv2HETlOs4e6rSMhba1ahWRREwp02bRquIZtroMePpxMmTmnmcWLZMaWIvWs4Yi1BatW4vBEyvdKt1aNeG9Mbp7O/oyZOnxB5fZ82ea3js+eF86ZLFqWGDepZjpTtAq4xnz55T+99+Nzz+/fr0tHn4P2PmbOLrsGofP/6nbup+T5o8jfbvP+CQX1zck1XvsGvWrhfnyyqHMtYJfA5XrFDOOsn09h9r1ok1jLEn2I4d2hELhIPT/vhjLdWrW9utIbBYdemyFW614WrlS5cuK9d/Xi/eEaJwI+Nzu0ypElRdrBU9Lbznfq9cuUpTp88Ux/0P0ru+JEmcmDJkSE8/Nm7glTHozZ+PEQtOFwuhKHs/NjK+X5QpXZJq1agW7L9Po3EGdR6/wFOhXFkaMWqMYde3b982zNfLDMpj5Oy9mMfM9yNeB23cvIWOHTth+BtvUL+Ocq3lc86TFhzrMa3x8zj27N1PO3f9qax5+cU0I2MOJUsUo2JFC1PevHkoYoQIRsVt8ly5b/JadZq4FlmbbP26TfyN27jJT9ZVlO0k4sUd9lTujAXHcXJmvcMv1gwaMoxWrV7jMK3CgYVo6uTxSjrWCQ54kAACIAACIAACIAACIAACIAACIAACIAACIAACIBDMBDyrggrmyaD7kEug/8Ah9EO+vLoihqCc+ekzZ2nqtBmaDwWMxsEPTvjDD05r1aymCCNc9fpl3c/Wbdupd58BhmIM6/Lqtjoe3uewbRxq1hueGvmB4NDhI2nipKlq14bfu3fvJf7wQ/CxY0ZQRvEgPKTa4iXLqFePrm5Njx+2+qt9my6tdOieDsG+Z88+3YfS1oPp27uHx4TCYcKEofbCM1H1mnWtu3DY5tDQlSqWd0jXS2BRL4uf5s5baGpOajt8DevavZfyqS5CYTdq1IBSp0qpZpv6ZsGjkfgvZ44cigCRH/J26txdKnTih+MbN21RPnwtatmiuaZokI9f+46dpUIensTadeuVDwsax4wabkpozaKHzVu2GjL4pcV9RdR269Ztaty0uVSAzmFf+cPi8CGD+isP+e074OvkvAWLqEfPPvZZDvssHJomRPn8YWEWC3nNeATbvXevrkiSOwlIlsxpASKL39etNxb01qpZXffebfZ3xONj0WHP3v14U2os9FIZNf+pCbVr86vm78m+oefPn0uPP3uws/Y+xOJ/vp86Y/x716oTV3jDUwWIb9++1Sxj3c9j4enYVQEihzeWCT66dfndurtg2Z4pjnvdOrXc8tzKIsagtg0bNyu/2f0HDprums/tRWJdwJ9UKVNQffEyBr+4YlZArdcRiyCHjxyjXA/1yqjpfF3nD5/XtWvVIBYQ8wsD3jIeG4sinVnL8PnD1wP+8PW9WZPGxKIcGFEqE/dy9tTrjAXHMXLmXsxzOXfuPHXq0p1OnjwlnRr/vnv3HUDDRoxWhLbNmvzokqdi646Ccz1mPY7/hLdDfsmm34DBptZJal2+9rBImz8sRuzTq7uyHjDjMduV++Y/wsOz1j1QHY/et1Ydvh+bFSAG53Eyu97htfBPP7fUQ2CTjnWCDQ7sgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAI+ACBMD4wBgwBBEwRaNW6HbGYJThtrgibW7Z8ZafFh9Zj5genY8ZOoFJlKhILgVw1bqd+wyb0Y9OfDYVAZtpnoUahIiVp27YdZoqbLsOho1q0bG1afGjdMD8gLFehCvFD/JBqs+fMc0o4Zs+BRTb8oMpfLWnSpNKhe1qAuEaI0mTGXmDYa54nLXu2rDaiJa22t+/YpZWsmXb48BEqXbYSsSc1PU9WmhXtElnoUrxkWalA0K6aqV1+KN2gUVOn2x41ehzVqFVPCR+tdvTq1Wvq9HtXqlO/kVMP1bk+eyYsXLQUHTt+Qm3O7W/20FWuYlWp+NC6Iz5OP//yqyL8ZJGAahxGmudrRnyo1lG/+RpSTQhbHzww9m6klvfHbxY5smDWrPjQfo4TJk6hpj+1IL4f+ZMVKRwoHS7/ptkbs7PG4SZl4kP2lMpheYPbWLx7+PBRl4fB5xqLGIPKXr/+dK1q3qIVOSM+tB8fX2P4d1+vwY+GXqPt69nv82+Er1UsyHbW5s1fSHnzB9Kfu/c4W9VU+U2bt1LhYqWcEh/aN8zXd14Hs3cxFnKHdgswcc6yiNqs+cMxYu++pcpWNCU+tJ4335N5vVGvQWPia6Kr5ivrMZ5D9Vp1qeWvbZ1eJ1nPnbm0bd+RatVpQHdEqPiQYr5ynIx48v8LmBUfcjtYJxjRRB4IgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgEBwEIAAMTioo08HAizOkQl++GGsLKyYQ8MeSmDxSwfhdatbj94eapGUh0MsZnQlLODjx4+pZu36SuhPTw2IBY3szWvHTvMiKKO++aF/i19auy2Q44f4Mo9kRuMI7rzixYoYDsFMOGC9BpaJUKRGJuvbqG5Q5HG4QGtPYlp9shDVU8bn8YqVxiFHua8qlSt5qktLO+wFsZIkVCqfgzxGmbHorGqNOm6JUuz7aNOuoyLwYrGXp4xD87oqwDl85CiNGz/JMpRRY8YqXsEsCU5u8AP1Js1aeESo9/TpU6pYubrL/FnUw55w2Fgw80urtsTzddXY41Ob9r+FWPENe6piZu4Ye00aPnwpEPsRAABAAElEQVSUO00Eed0oUSKLsNilpP3uFl5BnTX2tiozZ7yxytqS5cvuVQsWue7p94g4t1jEqGeyvvXqaaWzV9Sq1Wu7da2yb5eFosVLlXdaXMXtsHCwUpUabonU+drZvMWv5MmXAXh9yGHrmzX/xX66Lu/zizSNfvzJLSGZy537UMV/X76UjiZSpEjSMv5yjFYL76bu/m3I998ateuRM8JMFaCvrMdYiM5zYEGup4zXbyxC5L85/d185TgZcWRvhrxOdcZC0zrBGS4oCwIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgEHwEIEAMPvbo2YpA2LBhldCUHPbJyNjb14GDh4yKeDyPBSKNfmzmklDQzGBY2MhhVM0ae3GqVbchsSDTG9awcTOPeApbueoPj4kZWRz1+MkTb0zX621WqljBsA8Ou+qK8e9yxsw5ulU51HeJ4kV1830hgx9wsxdHI5NdE4zq2uedPXfOPklzP1eunJrp7iZyaOFjh/frfk4eOygNA8gP2nv06uvuUDTrczjLFi3bEB8Xd23N2nVun/8sKOFQkSdOnFQ8Pbo7JhZ48vXW3fkNE0I2FuW4YwMHD1UEg+yZzUzISFlfHLZ+ytQZsmJ+l79l6zYRYnyBR8bNv6eLIuyjP1mFcmWlw922fYe0jH2BHTvkIaPZE2xQ2bfp0imhdPX6Y+G4qyKY+QuNxYscZtgTxqE9iwlvsu54ttYbB1+7yleq5tTajEPSsvdETxhf79q0+408JVDv138QDRk6whNDs2lj15+7FREWC3lCq5m5xiVLmkSKxx+O0dWrV+nXNu2lczFT4Pz5v6hOvYb0/v17M8WVMr6yHvv48SM1FOJbnoOnjcXbfB1hz67+ar5ynGT8/lizVvo3kVYboWWdoDV3pIEACIAACIAACIAACIAACIAACIAACIAACIAACPgeAQgQfe+YhNoRJUgQn/r27iGdf+u2v9GzZ8+l5TxVYNKUaS578TI7BvbwZPbB0cxZc0yXNdu/fbnuwtOjuyId9jbhKeOH330EI3809k5Rp3ZN3aGz+MgVwQJ7NmJRgp7Vq1OLwob9Si/bJ9LvmgjtliJFco+N1UyY2sKBhShihAge69O6oa+//pqiRYuq+4kcObJ1cYftw4ePEIca9Kaxt9EFEsGOmf5d+U1rtTtUiP1YNOgpYw+vR48dd6s5T8yNH+qPFKEfOWyop2zQkGGmPGh6qr+gaMcdz5Ba4+s/cLBWss+m5cuXh2Qi7C1btzvl/ZLF62vWbTCcc67vc0q90xo24EJmvTq1DWvxSw3OGosWjbze5siRjVKlSulssw7lWQD0W8cubguTHRq2S2jdpoOpPng83Xv2savt3i6fi1OmuS9y3rN3P7EY2FvGa+kx4yZ6q3mfb/ecCRFakiSJDefhL8eIX07ypPGLXbPnzDfVpC+tx1iE7okXGfQmzmuexUuX62X7dLovHScZKFdfLAxN6wQZQ+SDAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAgEPwEIEIP/GGAEVgQqlC9LpUuVtEpx3GSPab379nfM8ELKqVOnnfLSkiH9tyJ8a0Vq3LA+sfcg9kJn1lq1bif1MMGCM7NeY9KmTUMN6telzp060G/t21KN6lUpICCZqeHww6a94iGxN4xD7iZJbPzwU6tfFhGwhyF/tOrVqhgOe9HipYb5WpnzFxh7dapaxfNhhLXG4U7axYuXpdUTJ0okLWO2wP3796VFCwcWlJYJjgIsum4pQhqbNT7P+FrK16KKIvQzXw/MWpduPenSJfmxMdueWo6FVAEBydRdU98rV63W9fbKc5SF8NbqxEiQpFXeTBpf650dy9hxE3Sb5mukTHimVZk9BoYGY96pUqZweqocipnF2560pMKbGB8v64+Z9q3Lq9uJEiW0qcqi5cqVjL3oskD/mBOi2jPi/i7z4MlrsaC2okUCDX/zc4QnTGdfjODwrEYmEz0a1bXOYy+d7H3PrOXJnYvY82K9urWpYIH8hvO2bvPa9eumXsZY/ccap8O68/WGzylXrjvWYzTafvHiBbX/7XejIpY8PsdbNG+meEcfM2o4de3SiQILFbDkG23wtZU954Y2u3LlKvFLSjJLlND2OmNdPqQcI74fBwQks56aqe0+/QZIQzH70nqMr4nDRow2NTf+e3DRgjl0aP9uOnvqGG3dtI4GD+xnau3CL7+8euU5L4hx48SxuWfyPdCMqfdK6+/036bTrOpLx0lzgB5KDE3rBA8hQzMgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAJeJBDWi22jaRBwiUCf3t0Vj4MsttOzZctXEnsq82aIQA7D9WvbDnpDsEnP/0M+atu6JWXOnMkmnT0N/bFmHY0YOYb4wbGRseeDUWPGUccO7XSLrVm7XjdPzeAHyL17dSf2YGRvPJ7lK1ZRrz79pQKEGeIhZt68ue2bcGmfHwS2+qU5lS9XhiJGjKi0wQ+y/vnnH+EFbCyxKMSMbd681dCboJk2gqMMC1MzZcqo66GExQudfmtn+sH/7dt3iD3V6VnRIoUpfvx4etk+k75oiVx4mTBhAo+N9/6DB9K2zD4ElTbk4QL9BwwyFZotICAZdWjXhooVLUxffvmlzSgOHTpCw0eONuXRtU37jrRy2SL64osvbNpwZYfFNm3btKJsWbMo1fncP336DK0SIpl58xc63eSPjRoo4mr1t8Fezo4dPynaWmDqWsJ99urR1YGP0wMRFeoK76aNGzegpEk+hbR89OgRHT9xSoRDnm6Ks32ffcS1m6+TqjdMvm+cEO0NHTZSeg/htlatXkNly5SybzbE7Lf5tSVVq1aZ4sWNq8yJxRd37twV99m1NGDQUFPz3LnzT/ohX15TZc0U4nu29X2b77Mp02QwrNr599+oSeOGhmXUzHJlSwuvXMYehXf+uYeyZ8+mVjH83rlLLpTj60dQW7hw4YQgrxZNmDhFs2v2GnpIeIHNmSO7Zr59Iv82ZhlwY6Edix4fP3liX9WpfRZ99ejV11Sd+vXqULMmjR3uzyyU4evS4KHDpe0sWrKMSogXXFi4qGV8fe3bf7BWlmYai9T5ZRVr8eu9e/eV39y4CZM067iaOGjIcFP3seFDBynXsbBhbf9M5bFevXqNOnTqTHw/MzK+h23ZuJbChAkd79rxdee337sYIbHkpU2b2rJtv+HPx4jXb21a/yL+NixOfD1hYy5Hjx6nseMnmhYJc8jeAf1626Ox7PvSeoxfzJJ50OcXUCaMHUXJkiW1zIE3kicPUD685ujUuZuht1j+m3zP3r1UpHCgTRuu7hQvVoT4Y2216zakvfv0X35jAfK0Kea9m/rScbKep9lt5lO+XFnikOmRIkeil/++pAt//0Mxokd3aCK0rBMcJo4EEAABEAABEAABEAABEAABEAABEAABEAABEAABnyMQOp7K+Bx2DMiIQPRo0WjEsEFGRZQ8DsvpTY94e/buI37gLTP2YjNj2iQH8SHXYwEQexJatmSBKW9Nc+YuoDdv3uh2eejwUd08zmDx4cL5szXFh5zP42HPeBPGjeJdQzvuIe8x7MVmycK5VLNGNYv4kDuOECE8ZcyYgaZMGk/du5rziLNaiEz81VioZGSykJjWdZctX2G967Bdq2Y1hzRfS9iwcbMizpWNS8+ziayeVj6LKmQWI4bjgz1ZHW/nP336jFh0IjMWua5YukgRZtuLD7kuhxudO3u64hFR1haH8/NESD8WH06fOtEiPuR++dznsfTt3cO0CEsdbzshZOzSuSOp4kNOjy4exvKD6fHiATuHojNjZrxhytph71ws9lbFh1w+RowYylimiTnzHJ2xubNnKAJrVXzIdVlQwYLC+XNnmvKo+7d4OB1Sbe6s6dSq5c8W8SHPkwWyLLZuKkRd69esNOXJ6fKVK36FKMt3maXz2rhxk+k5bdq8xbAsn0t8TgWHVatS2bDbBQuXGOZbZ7JY0WgNx2JHVaRkXc/Z7SUmQ5PyurZn9y4O4kPuL0qUyNT8pya0fOlCUy8izJmrHyZ23/4DZPQCjzo/Xptt2rBG8SxoLT7k/DhxYlP7dq1p147N0t+e2p7s+8mTp8QvWxgZi0JXr1yq3KPsxYdqPfY4OmfmNCpVsoSapPnNx/6EuI+FBuOXUloJD8kyUSaz4LU4H3st8+djxJ6et21ZL/7mKmdzXvNaiO/Fs2ZMoYH9+2hN2yFt4aIl9PbtW4d0TvC19dj1azc0x2md2PX3jg7iQ+t89qDHgkteQxqZTOhoVDeo83ztODkzf35pb/WKJTRx/BhlPZ8uXVpib/Bp0qRW1oNaLweGpnWCMyxRFgRAAARAAARAAARAAARAAARAAARAAARAAARAIOgJQIAY9MzRowkC7J2IQ9MZGYcQ7PR7N6dD8hm1aZ3HnqRkxiFO2WOVzMNKrFgxaZEQ4ek99FP74TkZhfHbf+CgWlTzu6fw6sUCGJkxX1lYR36A/fr1a1lT0nx+6Gf/cNu6ErNr2KAeNWva2DpZc5sfrrI3E3+0UqVKGAoL5hoICqzny/OfOVvfGxY/uPKkdy/rvj21zWHUzYRh/OShynOeuO6ZCOEd3QcFiDLBEB8XPu5zZ02jqFGjGB4mfhg/ZFB/Xe9Z1pXZe6s7xp4/J44fbSMGsG/vdxESkL3vmDH2fPhLi+a6RVlMNHHcaFNi77t37+m2YyaDRRzt2v6qWzRihAg0XXjqMetRc9KEsZQ3Ty7d9lhwuWDeLN18NYM9Jjobplat68vfo0cOk3rkZS9PLPCS2T//XJIV8al8vkfWrF7VcEzsQfnmzVuGZTiTX9o4LUIwGxl7XAouYw9dRiJiDsnOXkbNGIuIjKx61SpG2aby+H5sRhzOQmUWRsmMRSQzp0+WFVM8veqJDHfs2Cmtz/fWpYvmSa+VLHpZsXSBR0SIZsLD870pY4b00vHztX5g/97SNfVaE17DpZ35aAEWC54UAkv2Upnnh0K0bv0GUyNlL5J65q/HqErlisq6RuvFC+u5Vq9WxbQIUe+FL19bj129ds16iprbOXPKvcbyOdVAeGg1snPnLxhl+1Serx0nZ+DwS3v8gp4zFprWCc5wQVkQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAIGgJwABYtAzR48mCXQUIWll4o0dO3fR/AWLTLZovtjLly8NQ1GpLXURYRTNhihlz44dO7RVq+p+r1ylLXxkUQl7ONT78EP73Lm+123XPkMrRLN9GXdFOuwZ0qwHOw5LyA/FZfb4sXvhEmXteyufBUnsfVLPWBRySoSllRmHz9QTHnDdenVqeSS0rGwcruSzRxkOTZs7XyFpCHBun3mxtzxP2S3hJUhmfJ76mnHYdJn16NbZErZXVpYf0ncVXgRltnDxUrcEv8OHDZaOia+fMk9W6jg7tG+jbup+8zWExb4yMxOOW68NFpKz8Fx27Y8UKZIS4lWvHTWdr91mQt7ytT97tqxqNd3vJ0+f6ub5YwZ7vTQbVpo5yrw4sUiTr0X+ZKVN/Kb/3L1HOqU9e/ZJy7AHxOC02jVrGHavt0ayrsQixRUrV1sn2WzzOcee9Ny1I0ePGd6PuX0WxtYSgmWzxuc4e3OT2foNmxyKfPz4kdZppNsX/E2sRe3DsdqXUfdZ3N6nVzd11+VvmaCdf3clRWhps8aeYvm+Z2QrxYtE/vbSyi+t2lLJMhV0P8VKlKEMmbNTluy5qHylajR02EgjBDZ5RYsUphQpktukWe/44zHiez57UZeJD9V5sgjRzN8/ekJeX1uPmfl937//QJ2+4XeB/PkUNsxH65MuXRrD+r6U6WvHySybfn16Gr60Z9ROaFonGHFAHgiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAQPASCBu83aN3ENAnwIKt0SOHUoXK1fULiZyu3XspwrvkyQMMyzmTuW273IPMT81+1AylZ9RPpYrlaey4icQCCD1jLybPn/d2EO6w2MWMByy9du3TUwoxi8zeuCHSCAhIZsrLmjoGDvlYX3i9HD9xspqk+c3iO/YoqWUPHjykQ4cPa2W5nJYnd26pVzmzjdcQDz5nzpqjW3yREHzJvP/IBLeVKpXXbd8bGR8/fCQWPWjZ8+cv6PqNG3RNeGi5cvUaLVq01PC3b99GNQPBpn1ZM/sf3r+XFtML+yit6KUC7C1S5vmUPQ0WL1bEqRGwCKF61cqG3rvYI+v+/Qelnue0OuYxsWDOjGXKJPf0wiEUOUygGfs2XTppsXfv3knL6BWoWqWiabHDd8KjmcxyZMsmK2LJzyxCJB4+ctSyr7Xx7q3rc9NqL7jTatcyFqRZj4/vkyxWZM9gRnbjxk3y5JrBqC9P5PH5ysJKo3lt2bqdakg8JcrWNsyOhbPBaYUDCyqe7fSE9nPnLxBek+saCoBlIkWZyNHs/GWCLW6nQ7s2pq8Xar9tW7cyFFByORbY1KldU62ifJ87/5dUEMkv9jgjiOSGixQOVDxT7t6916Y/szt8LI28e3M7st+uVl88LiPjfo+fOEnZsmYxKuZTeXzf9UaoWxbOG3mI9ddjxHNiMaoz1lm8PFaugrEH1E2bt1IXuxc1fHE9FjduHOnUu/fsQ6NHDSP+u9rI2IO+J//ONOrLm3m+eJzMzrdc2dJmizqUC03rBIfJIwEEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMBnCECA6DOHAgPRIpA5cyZq82tLGjFqjFa2Ja1N+460bPF88pR46Ny585a29TZkDz616rGHjpIli9GkydO0si1ply9fkXpxshR2ccOMt0GZhy+jriu4EMaRPQXJ7MHDR6RXij1iduho7BFH1r59PodGNeOdzL6e1n6aNKkVD2Z6AqJ58xdSJ+H5U08AcuvWbdq6bbtW00oae5KLG0f+MFK3ARcyGjfVD4nrQnOWKo0a1qN06dJa9j2xETdeXOJQpUbGHjb1BK5G9byV99eFv6VNcyh4V87VYsWKGgoQueNzf/3lkgCRr91mLV7cuIaCI24nZ3Z5CEG1P2976TEjcFTHIhMUc7ksWeQiRbW9DBm+VTdDxXee3LmIxenOGIeNldmz589lRXwuv3KlCoYCRL43vHr1WtdrLHt9XLtuveG83BE/GDbsROZXX30lhHU1aNTocZq1eH104OAhXS9mLIifNXuuZl1OZCEWixw9YSdPnZY2YxRaXa9yokQJiUXcRuGyjx0/oYRbt772X7p0Wa9JS3rFiuVcWitzGHBXBYhG81AHljdvHnXT9Dd7SGbx/cZNW3TrXBcv/PiTAFF3Im5k8HqfhWUJEsTXbcVfj5EZj8f2k+b7MgtxjV4G4zz766kvrscSJEhgPz2Hfb43VK5ak1q2+El5MSxixIgOZUJSgi8eJzN8CxbIr/v3n5n6XCa0rBPM8kA5EAABEAABEAABEAABEAABEAABEAABEAABEACBoCcAAWLQM0ePThL4uXlT2rp9h+GDd/YKNH7CZGrV8mcnW9cufvfePe2M/6fyw7zvnBDYWDf2Q968UgEie/Jz19jD14sXL+g5f4QnOvaq8lyILpTPi0+ezdztw6h+QEAyo2zNvMSJ5cKRN2/eaNb1l0T25qUnQOQ5rF23gThEnJYtW75SK9mSVqumsbdQS0Ef38givMZ1+q29x0cZO1YsaZuPHj/2KQGimdB5HE7UFcuZQ+55z0z/Wn07K4SNHTuWoeeu9EKMY9YSxNcXWZhtw6hcnDixjbJt8qJEjWKzr7WTNo2epNqxdKKECR0TQ3BKQEAyp2fH4q2QaCWLF6MewpOVkR08dIgK5P9Bs8jRY8c109VEXtfkc0EEptb35HeVShV1BYjcz8JFS3QFiIcOHzEUFrG4kUWOnrCbN28ZNsMhb8OFC2dYRi+zkAhJLBOFPXv23MZD82Nx/5KZq8c4bx7X7jM8HjP3Edn6Rm9eRuJDrnPv3n29qqEmfe7s6VKPxP54jAoHFpJ69dM7yEWLBNK0GbP0spX0p0+fCEF3PEsZM4yCej3GnqYDApIRC7ONjL1qtmjZRinCL63k+j4HsUdlfvHLU9dDo/6DMs8Xj5OZ+SdJkthMMcMyoWmdYAgCmSAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAsFGAALEYEOPjs0SYK+GI4YOosLFShlWYS+JBfLnI2c8b+k1KBMgsscq9mboipkR0ty779wD08dPntBh8dD9wIFDtGfffrp+/YYiOHRlfNZ1/vvvP+tdp7ZZUOSsJTThycPZNn2tfHHhdY6FHiwI1bK58xZoChA/fPhAs+bM06qipLE3l9y5curm+0sGsxk7eoRXHoiaCVVnRsARlCzNXAvSmfAcqjXmSCLUKj98Ngr3ePfuXa2q0jSz4ZKlDf2/gDMiHmuPYGbbd6acp+fmVHsixHBosjixzYs9VS7Ro0VTN0PUN99TA4UozSiM8o6df+oKEHfu+tOQR5lSJSh8+PCGZYIqk0WkRnNdtXoNdevSSfFmaD+mBQsX2yfZ7LO40RPG92QOW2tkLKZ31VgcJLP7D+7bCBAfPnokq+LyyzNRhZhaFgZcr3MzgqDuPXrrVXcrPTQLECtWKEccztuMKNsfj5Er3kXVH1P27NmkAsSHjx5TvHifBYi+uB7j9U6jBvWomxPnD3vCtfaGm0O8jJIjm/iI75w5c7gs6lTZBve3Lx4nM0xiCe+87lpoWie4ywr1QQAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEvEMgjHeaRasg4FkCyZMHUJ9e3aWNtmrdnl6+eiUtJysg82oTK6bz4jq1z8iRI6mbut9mHpg+Eg+ah48cTWXLV6as2XNT059+UR6msZhIT9ym26EXMlwRMrAgKqQbhwxkL4h6xh6PTp485ZC9c9duQ7FD3bq1KEwY/76kc8jJtauXG4YJdADjRIIZMdPt23ecaNH7Re/elXtjdVUMzaOXMbl1+7b3J4keQECHgDPCU50mQlRyhfLlDOezYeNm3XyZp7iyZUrr1g2OjNo19e+TPJ4Vq/5wGBYLAlmcqGcsajQjxtKrb53+8KFc7BcjZgzrKk5tRzMhpLUXjcnGxAJ/fqnHVUtoEMLXqE0zgiCj+u7k3ZHcQ91p21frcpjxP1Yto+Hi5S2zv3d/PEaxXRCoq8cslolz88njJ2px5dtX12M1a1Sj/D/ksxmrMzuHDh2h8RMnU8PGzSh9xqxUt0FjWrpsBb1+/dqZZnymrK8eJxkgp15GMWgsNK0TDDAgCwRAAARAAARAAARAAARAAARAAARAAARAAARAIJgI+LdaJZigodvgIcCirYIF8ht2fu36dRo0eJhhGTOZslBWMWNEN9OMZhkWC/FDYCMzehDIXndmzJxN+QsVozFjJ0hD9Bn1g7zgIVCtSiXDjhcuXuqQP3/BIoc064SK5cta7/rdduOG9WnZkgWUNGkSr409lokQzHv27vNa/640LPNAmCD+Z+88rrQfPbqxt7i7d4wFkK70iTogAAKuESgcWNCw4p07d+jvfy46lLl69ZphiE5ek+TyMQ+6BQr8oOnhUJ3cnDnz6ePHj+qu8r3SQHzIBWSiRpvGJDsy74dc3R1vnNGiRpWMgOjBA1sPjA8ePDCs4+79wlUPXWZeqjEcuBuZT589daO2f1blkLocmtcZ88djFMONv8WimhD4PrILae6r6zH+u3LkiCHkjsdV69/K7t17qUPHzpT9+3w0Zep04r87/cl89TgFFcPQtE4IKqboBwRAAARAAARAAARAAARAAARAAARAAARAAARAwDwBCBDNs0LJYCbAYaYGDugjFe/NFmFqZaEG3Z2Ku57mZN4B3797pzlEfgjED4V69x3gE14ONQeJRCmBFCmSU67v9cMlcwjJ58+fW9phj5xbt2237NtvsLcL9njjj1alckVaung+dRXhND3l/UOPg5mw4Os3bPKph63v3xs/+P3SDW9WzEnmDeutzrVIjzHSQQAEvEcgYsSIxNdMI9v1526H7F279zikWSdUr1aZ3PGkat2Wp7Z5PA3q1dZtjl84OXDwkCWfxYizZ8+z7Ntv8D2SRY2esvcmRDlffun6n1myazPP48OH9zbT8fb9wtX7zZs3b2zGGZQ7Hz/YilSDsm9X+hrYvw/t37tT9zNi2GBpsyxElr20Yt+IPx4jM+eI/TzV/S9NeAwP6vNLNh+j9RiLnRctmENNGjdUp+j2N3vT7z9wCNWsU5/u3vOfl1G8fR105zi5fVBMNBCa1gkmcKAICIAACIAACIAACIAACIAACIAACIAACIAACIBAEBNw/clYEA8U3YEAE4gbJw4NHthXCqNdh98dPMNIK1kViBfP2KvY4ye2YbmsqpralHnO0fPUxuLDFStXm+ojNBbyhoDCHQGB0TGoW6emUTatWbvekr9s+UrLttZGzRpVtZJ9Lo0FINmzZaXy5cqI87gfnTx2kIYM6k/ZsmYJkrGmTCH3CMQPXI+fOOmV8fyxZh3VrF1f91O/YROHkHdx4sQ2HIt9CE7DwhqZj+08/NgXkfVvXx77IAAC3iVQoZyxt9stW7Y5DGDbth0OadYJpUqWsN71mW2Z2JLF+qodPHSYWJSoZyxm9OQaIWYMeXjlp0+f6Q1Hmv70qdxzn/2LBzElYWW9fb/Qm5SZcLd6dUNbety4cZS/dfjvHa0Pr58yZcooxTJsxGhy5vfnj8fosV2IZCkUqwLPrF7ysUq22YwSxdYLqWw95O3zS9Y/e77s/PtvtGPbRqpb2/hvDJuJSnY4RHODRk3p1Sv/CMks4xTcx0mC2yPZoWmd4BFgaAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMBjBMJ6rCU0BAJBRIAflFessN1QiMcCv0FDhrk8okQJExB7ENGzR48e6WVJ01ngJLM44gGkvfHDdWfEhxxSMUuWzBQvblyKGiUKRRGfqFGjUOTIkcUnEt2+fYd69DIWc7LXSX+ysmVKUY7s2Tw65PhuhrjVG0yRwoGKN0+938PsufOpZo1q9P79e+JtPQsISObxOev1pZU+cEBfKlyooFaWJS1MmC/Eby+qR8Uflsad2IgVKybly5eHOLyckW3cuNkrokgOnX7s+AmjrsneuyoLEIxMJmY2qst5Dx4aX8vix4srawL5oZgAX59gQUuAQyWz8Ezv3N9/4KAiPOL7PRvfY3bs3KU7SH7hwlOhO3U7cTGDx1a8WBHauGmLZgss6u7etTPxtX3hoiWaZdTEKlUqqZse+ZaJ/bgT+xCuznRs5kUX+5DIspC0/Jv577//yNW1navCHa01rT2LSRPG2id5ZD9BgvgeacdXGuFj17FDW6pd19jTHZ/3HD63fbvWpobuj8fInb/FHj16LOUS0y7Es7+sx5ImSUK9e3WnTp060P79B5WoADt27DIUaMtgnD//Fw0eOpx6dOssKxrs+f5ynLwJKjStE7zJEW2DAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAg4TwACROeZoYYPEOjRrQvt+nOP7gN4d4coE52dOHna5S4uXbosrRs7ViyHMuPGT3JI00po82tLqlG9Ksk8QPz9z0Wt6n6dxmGxEiVK6Bdz4HDDDerVoXETtI8rP+w7ITzxPRCCAT2hCU+U23BVTOAJUHGFhz4Wf/iLlS1dSipAnDJtBtWuVYOSJk3isWlduXJVKj7M/0M+hzDUsvOYB3j12jXiB87OGovHTp48ZVhN5g3WsDIy/YrAvy9fOj3eGzduOl0HFdwjwF78KlUoR3yd0rO9+/ZTyRLFlOwDBz6HKdYqX7lieQfhs1a54Erja7GeAJHHtGLVaqpYvhytWr1Gd4gsYuSXMTxp4cKFM3yJgPv6668LLnf5z8VL0rr23rLtPSJqNcBrv9SpUmplGaa9e/eO+HflisWObezJN0/uXFSsaGFXmg6VdZgXf2THg9eXdWrXIDP3cX88RkePHVde1HHlR3D27Flpteh2AkR/W49FjBCBAgsVUD7Ug5S/Jfjv1xMnT9Lhw0elvx97QDNnzaEOQtDKIX592fztOHmDZWhbJ3iDIdoEARAAARAAARAAARAAARAAARAAARAAARAAARBwjQBCMLvGDbWCmQB79hk9cqjXRmHGe8I/F10T8O3ZK3+AGzu2rQCRBWi7/txtOF/2eLhj60Zq1fJnqfiQG9LzvGfYCTI9SqBqVWOPTAsXL6X5CxYZ9lmubBnDfGTaEihaJNA2QWevT7+BOjmuJU+cNEVaMdf3OR3K2F8LHAqIhH37DmglS9NOSMSH3ICZB7nSjlDALwiwSNZZu+xCHWf7QHlHAmXLlnZMtEqx9ni43cD7IVcpXaqEVU3f22ShlZGAau7cBbR8xUrDgbOI0RuWOHEiw2bXb9hEHz9+NCyjl7lrl/Gaj+vZezw0E0Z3zx5jD8B64zl85KheljRd66Ua60p/XfjbZU7W7YSm7Q7t25ia7shRY02V88djxOfXhw8fTM3PvtC27Tvtkxz2o0eLZpPm7+sxFiizIJFfVJs3ZwZdOHeS5s6eQfXFi0xmbc/efWaLBls5fz9OngIXmtYJnmKGdkAABEAABEAABEAABEAABEAABEAABEAABEAABNwnAAGi+wzRQjAR4IfSPzZq4JXekyVLKm13zx7XHsJs3bZd2rb9Q+3rJrxMDRnU3ymPbdev35COg0P1wbxHgL3Wsdc7PeOQkkYPSatVrUzRokXVq450DQLRo0enggXya+TYJvF5asTetrTxHodPX7RkmXEhkZszZ3aHMkkSJ3ZIs09wdZyyUNTcTzIPeoG0Hzf2g5YAe2wzMle84v4TAj3pGjHylbyMGdJTQEAy3eGsXbdBEebwPZxFOnoWEJCM0qVLq5ftE+nsyYk9/erZtevXacAg/RdSWLzI60VvWIrkyQ2b5Rc9zglvxs4a15O9dML3BmZjbfHjy8MNr9+o/3uwbst+e8PGzfZJpvft17T2FfklGzOCePt6oXn/u8yZqGgRuddIXntcEAJPmfnjMeLzhEMMO2t37t6VeqTml7oiR45s03RIW4999dVXlDdPLurZXUQV2LGZ0qZNYzNfrZ1bt25rJftUWkg7Tq7CDU3rBFcZoR4IgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIDnCYT1fJNoEQSCjkC7tr/S1u076PLlKx7ttIjwkta1ey/DNseMm0jVqlahCBHCG5azzjx8+AjJvMhkz5aV7D0wmglzmTvX99ZdSbfNCCGljaCA2wQ4PJ5MaKDXCYfahjlPoJzwHmbtIUyvhcZNflK8xLgjXrl9+w792qaDXheWdH7YzQ8L7S116lSK0MjoGrd5y1bikN1mHh6r7T99+swwhKtazkggq5bBt38QkHm4YhHQ9Rs3KHEiY69u6mxfvHhBs+bMU3fx7QwBD4j7q1auRIOHDtfslYU5Z86cJRaY8HHVs8qVKuhl+VR6JREmeuBgfZGh0WBZvGgv1DMq70xeqZLFaO269YZVxk+YTOPGjDAsY585c/Zc+ySH/YoVyzmkZfkus0OafcKhQ0foz9176Id8ee2zdPcvinDQs904178VIlcWgt65c0e3j9V/rCUz47dvgAX+R44cs0+27JcvV4YSJJALMy0V/GijXZtWxPd/mQ0eOoKmTh5vWMxfj1HfAYNozaplTp3jI0eOMWTBmVohwX1tPcbXeaN7cJgvwlDTJo0oTBj5+6Z83x89chgVK2HsVf3uvXtSdt4q8PGjuZfifO04eYuHmXZD0zrBDA+UAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQ8D4BCBC9zxg9eJFA+PDhacyo4VSmnHEoW2eHwAJAFh3t3bdftyo/1J8+cxa1aN5Mt4x1Bofh69N/kHWS5nbFCo4PlV+9eqVZ1jrx7du31ruG2+wNZdXqNYZlOPOLL76QlkEB9wgUKliAOCyakUhEqwcWm7nysF6rrdCWVrZMKZo+YxadFgIdmdWu25CmTBpHRQqbC91s3d7Nm7eoSvXahqILtfxvHdrS119/re7afLNIaOiwkTZp9jv9Bg6mOTOn2Sfr7k+cPEUahr10qZIUKVIk3TaQ4V8EzITTHjV6HA0dPMDUxMZNmOT0dctUw6Gg0IOHj9yeZenSJXQFiNz4ThHClwWIRla6ZAmjbJ/J45CafD2Sif20BsziRW9ZQXH/ltm69Rvo8OE6lD17NllRJf/evfvS6z0XLKVx7Pgewuncp5H16TuAVq1YauoFGg5x27NPP6PmpHm8lqxSuSKNHTdBt+zMWXOUMum/Tadbxj6DhfQ//9La8DqULl2aECtATJMmNfHfDCtWrrZHY7PPLxwdOHiIvs+ZwybdesdfjxG/fDF33gLTYYSPnzhpyiN1kcKFrPFYtn1pPXbl6jUaIsSlRpYpUwbTHmBTpjD26Mr9hPs6nFF3Xs1jz5VmzZeOk9kxe6NcaFoneIMf2gQBEAABEAABEACB0ELg7Kn7tHXjFTpz/CHdv/tSRNQw9/JPaOGDeYIACIAACIAACIQMAjNXFrOZSP3+nx17fRnmS4odLSFlSJ6TArNVoPQBWW3KYsc5AvJX4p1rD6VBIMgJ8MPK39q39Xi/WkJA+05YFLR+w0b7ZId9foDLHhVPnjzlkGefULxYEfskMiMcMetF79jxE1Spak2HPrQSEIJZi4pn08KGDUv16tRyutG6tc0dQ6cbDgUVmLlZkRXjaNKsBfXtN5DMhp7j833e/IVUvFQ5U+JDDhdX08CbZRkhvJEZh1PmMZo5Z5evWEUTJ02VNUkVyht7wpE2gAI+RSB27NjS8SxbvlIRqsgKrlm73tRvSNZOSMxnb3vs0dTIjDyaGtWzzuPrBntM1rNNm7eQkafjDOm/pWTJkupV97n02rWqOz0mFi2yeNFbFjFCBDLjRfKnFr/SPxcvSofBgromP7WQluMXEFKnSqlZTk84ZV2Yw63/2LQ5vXz50jrZYfvdu3fUqnV74vuLu1aqhO0f91rttWnbgR49MifO5Xsde8U0enmDX+5wxtOj1ph8Pe3XlvLfC8+h/8Ah0vWBvx6jnr37mRIVnjp9hurUa2TqkObNk0eznC+tx9IID9kyc8Zz6alTp2XNUdKkSaRlXC0QLVo0w6osNuWX+cyYLx0nM+P1VpnQtk7wFke0CwIgAAIgAAIgAAIhmcCYoYeo86+7aOu6a3Tn1r8QH4bkg425gQAIgAAIgAAI6BL48PED3Xl0jbYcXkqdJ9WhMUu765ZFhpwABIhyRijhBwQ4xJTRg3hXplC0SGFT1dj7ytTpM+nVq9ea5dljQ7sOnWjBwsWa+daJ3Cc/MLW3hAkT2Cc57Hfo2JlkD4+2bN1GlarUkHo+c2gcCV4lYEbAYD8A9uIHc50Aew7q2KGd6QamCY+JefMHUqffuxKHfORQkiw0VI23+eHo2PETqagIYceCYw6PZ8Z+79TB0FMZP/A1c33jMf7WqQuxBy0teyk8qU6YOEW5HmnlW6exgCqkCzes5xsatnMYiNWs51+jVj1iT4jv37+3Tla2WSDVtn1Havmr50X/Dp35cUIKiScpDpvKYW3dNfYqp2fs4fXwkaN62eRNz4C6nbqRwd7bWEzhjLkiWnSmfS5bsYLcwyKL5CpUqq4IQvUENCyOqlG7nqkXVWpUq6I7TLPXbfbwXblaLdq2faemMI3zq9esK/WmqDsQu4x0IgxzqpQp7FJtd1kYWbpcZeVeaptju8cvAzT68SdauGiJbYbdHr/c4a3w23ZdBdsurw/MvJDCL0Bt2LjJcJz+fIx4bcbrLvY8bW8vXrygyVOmUc3a9U2ty/L/kI+iRo1i34yy70vrMX6ZpmCB/JrjVBM3btpi6HlULcd/w06aMl3d1f0O8KJo3Uzb/AKNGfOl42RmvN4sE5rWCd7kiLZBAARAAARAAARAICQS6N7+k/AwJM4NcwIBEAABEAABEAABdwiwELHblMbuNBGq6yIEc6g+/CFn8vyAkT2aFSxc3GOT4odPgwf2UwQ9skb7idDKI0eNpQb16lDKlMmFcOODIt44IR74yR6Qqm2z4KdHt87qrs13ooQJFY9KMkFTuYpVqVrVylS1SiVKnDgRRYkcRfEOc/bceVq5arXw1mj88NGmU+wEGQEWmBYOLGTorcp6MLVr1aDIkSNbJ2HbBQJNfmxI68UDeTOeSdXmFy1ZZuNphwUx/wovUkZemNS6Wt8cLlPL66l92X59e1HxkmXtkx32ly5bQfzh3wh7OOMH1GHDfkl//32RZs2ZZ+rhOzc6YtggChcu+ELtOUwMCW4TyJgxA8WLF8+UV86Ro8fSlGkzKGOG9OKelkII7F8p5wkLhGByAiy0kl1XWEDVoX0bER7ze4oePboiaA4TJgzxx6wVK1aEOnXuZra4TbmSJT23XrJp2Es7zKW+WGP16TfAVA98bTYKOWuqEROF8ubJpXhBZO+hRsbrtx+b/kzsvbB82TLE9/03b94o12T2YM1CQDOWKVNG5fquVzZWrJjU8pfmNGasfrhjtS6L5hs3+UkRdmbJktny2zstxJDeONcHD+pPFSsbe7JkcX/JMhUosFABsZ6tQsmTB1CUKJHpwYOH4j72N507f0ERk6lzMPo2Et4Y1fO3vBYtfqI5IgyxzAYOGkZFCgcavvDgz8eIPU/zJ0/uXJQ4UUJ6Kzx4Pnv2nPYfOGh67cMM27drbYjSl9ZjpUuVoB07dxmOd9iI0cR/Bzb5sRFl+S6zTdnXr1/TkaPHqXOX7nTt+nWbPPsdfkGOX97xlpnxyMsv2z18+IjKlystvNvGJg4dzt5QtYTGvnScvMXMTLuhaZ1ghgfKgAAIgAAIgAAIgAAIfCLAng9PHtV+gR2MQAAEQAAEQAAEQAAEiE5e3Kd4QmxZpTdwOEkAAkQngaG47xJgbwcDB/RVPJR5apQs5OMQhuxBQmb8cHnchEmyYrr5fXt3Vx5IaxUIHz481aldgyZNnqaVbZO2WAik+APzLwJ8fI3CZVrPprqB9yPrctg2JsAPLEcMHUTVhJcnVwWEsge2RiNggcXI4YOVB6hG5TiPw2327N6FONSgGeOH8K5adSFiNusB1tU+UC/oCfCDeg6rbSb8No+O72ks3OAPzDkCycR6RGZ87bD3JNmkcUPq/PtvsqqW/OgiZCULmM2sUSyVxEau73NSvLhxrZP8YrtihbKmBYgsVnRGzOkOgO5dO9OevftNiXtZ9McfV43vWSwsN7KfmjWh+QsWm76v8W/RnXuZ0Vis877LnIlatfyZRo8Zb52suc2CTLOiTK0GfmnRnBIkiK+VFeLS4saJQz81+1F6bedjvGjxUvH3RE1dBiHhGLH3TleNX95g4b2R+dJ6rGKFcoogVyYY5hfQ+MMvu7GnwUiRItGVqyLEmhD8mrUOQpjJf496y5IkMefhlkOv80c1FnWvX+MoAPel46SONTi+Q9s6ITgYo08QAAEQAAEQAAEQ8DcCZ0/dV0Iu+9u4MV4QAAEQAAEQAAEQCGoC7AkxMFsFSh+QNai79uv+zLtZ8etpYvChhUA1IRhkT3KetP7C85hWWGRP9lG6VEkhDCln2GStmsZeYwwra2TyQyiZsWAFFjQEOGwieyeTGXu1kz0clbWB/M8E2LvS2j+WE3uVCkpjAdDY0SMNPRHZj6euCCeZL18e+2SP7rPXsG5df/dom2jMdwg0bthAESB4akTOhsT1VL++3k6W775zaYgvhOjTWTMTAti+zQpCtOKPxp4iWXBjxlisGFTGHvpYTO5t69u7h+IRUNZPxAgRqHfPrrJiTuXzmrF8uTJO1dEq/MvPPyleILXyPJVWuVIFatu6paea84t2mgrvdmZs4OBhxCGJjcxfjlG9urWNpuF0Hv/Gzf5ufGU9xi/S9Ohu/lznFwtOnzmrvFjgjPgwICCZ4unVaahOVEiVKqUTpT8XffLk6ecduy1fOU52wwry3dC0TghyuOgQBEAABEAABEAABPyQwNaNV/xw1BgyCIAACIAACIAACAQPgW1HHF9+Dp6R+E+vECD6z7HCSE0QYMHcgH69PSqwiBEjBs2bPV0JUWdiCE4XYfHh4IF9pfVY6DFIeHj0hHFbM6dN8kRTaMNDBPghYt06+l5p1G48/cBVbTc0f7P3oMUL5lBQhWssWaIYTZk0jiJEcM6TDHvzGjtqBBUskN8rh4vDxs6eOdWj10+vDBSNukyAw7Oaud+Y7WDc2JFmi4aqcnnz5jYVWt0TUArkz+f0OVusSKAnug6WNsy8jMEiRRYrBqVxuOfxY0d5rcuOHdqRmbmrAyhVsoTibVDdd/d79IihlDBBAnebUUT3M6dPdggF63bD/28g/w/5lL8DQtsLNPx7b9emlRQjC9Cmz5htWO6rr74ifzhGFcqXNQxHbjhJjcxpUyYQ/81nxnxpPcZh4AcPNOcd28zc7MsEBCSjBfNmST2v2tdzdp899fXq2c3Zaoblfek4GQ7Uy5mhbZ3gZZxoHgRAAARAAARAAAT8nsCZ4w/9fg6YAAiAAAiAAAiAAAgEFYHTlxAlzlnWECA6SwzlfZ5A7NixaMSwQR4dZ5o0qWn1yqUe967IoRbHjBpGESNGNDXeaiI0KodZc8fYw8f0qRMpqnjQA/MtAuy1R2alS5WQFUG+CwTChQtHQwb1p25dvOf9jz2psvCQRSoc/s4Vixo1Ck2dPN6jwhIeB3u2WrliCXEoe1jIJsDCpGZNG7s9yWFDBlLKFMndbiekNtCzh3mvVO4w4JCYLMQxa+wlOqjFeWbHZqZctqxZKCAgmWFRZ4R6hg05mcni8o3r//DoCyu8Zps7a7qy9nNWVNfm15YeuafxujMwsKCTNPSLs+ifBU01qlfVL+RCDr/QM27MCKc8C7vQjc9WaVC/rikx8ohRY+jevfuG8/CXY9Tl945ue7Dmc2y1WP+wiNgZ86X1WFURAYDXsJ42Dm+8cN5s4t9DUFht4e3f0x7Jfek4BQVDrT5C2zpBiwHSQAAEQAAEQAAEQAAEPhO4f/fl5x1sgQAIgAAIgAAIgAAIGBK4/+SmYT4yHQlAgOjIBCkhgEDRIoWpuhDredL4AcakCWPo947tTT3gM+qbH+jMnzuTmjRuSM4+UGYvOOOF1yl+YOassYe3rZvXUQqIRpxFFyTl+QEfi4P0rH69OqbFqnptIN2YQKOG9Wjfnh2KJyFPhl5v3LA+7di6gYoUDjQegIlc9pbJwpJpkydIhTiy5niOvXt1F6LtwcRhO2Ghg0Cn39q7LNRnT5mLF8ylShXLhw5YLs4yXty4yjnqyeuI3lDKlS2tl+WQ7okwug6NBmECr5kaNqin2yP/PlmkGFyWWoQR/WPVMo+I61gsumHtKmKPmq4a39NGCe+FrvwO48WLRzOEt2xed3raWPTPHsvZszf3447ly5dHEZCNHT3cZXG/O/37Sl1+scGMF0Qe75hxE6TD9odjxJ6kly2eT127dJLOR6sAi91WLFtEGTNm0MqWpvnSeoz/xtu+ZYNHvO/y35h9xNrwD/HyXZw4saUcPFWAeY4YOogypP/WU00q7fjScfLoxJxoLDStE5zAgqIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIeJgABooeBojltAjJvXxEjel74wg+jZA81w4cPpz1gnVR+gNG0SWM6dngfTRg3mjjUmzNWu1YN5SHp+jUrKXeu752palO2ZIniykOmdm1/NeVpJ9f3OWnV8sWKdwzVi4WZuYcL97VNv+rO119rp6v5/B1BeGVy1sKE+UJaxRu/FWmnBgUiRjD2XumsqKtWjWq6vdWoVkU3TytD1reM5TffGM+N+4wQAkVrLBz6pUVzOrB3J02eONbp81w9FuwNi70xnTl5RHk4LrsOqvXMfgcGFqStm9bRUvHwnb2jOmMsbJk2ZaIyx7q1azothI4o+W3I8u3HGkkiqHY2XLV9+/b7er9bT1/bwop7hsy++iqsrIglX2/clgJiw8wcuHyF8uWU+wjf08wI2rkM31fXiftXjhzZlC75nigzozHLfieyfK2+zcxf7/5kpm54J655gYEFFeFx85+aaA3VY2nOCO4CCxXwWL9mG5LdS5w9zuXK6Asu69at7dT17GsRbtbIIkVy/mWPKFEiK+K640cOKCFFWRRp1lgo2LZ1K9qza5vi7TZRooRmq+qWY+HJnl1baaAQ+yVJnFi3nHUG3wO3bV5PBQvktyTLjpPsOm5pyGqD7127d26h2TOnOi2cyp4tq+Idcs7MaU4LyKJFi2o1CsdNs57JHWvqp8jOA65pdL3Ub/lzTk2xhjQjNp07bwG9f//+c0WDreA6RgZDsskKGzYs8Use+3ZvN3yJx7oSi1bnzZmh/G3kzPlp3Yb1dmBg8K3HrMeRLFlSmjh+DC1ZOJfqiWuh7O9g67q8zVx6Ce+9e//cTnXE2pDZyszT983kyQNopfiblcXJZn7LsvFZ5wcGBt9xkl0/ZfnW83Bl29fXCa7MCXVAAARAAARAAARAAARcIxA7rvz/+11rGbVAAARAAARAAARAIOQRiB3N/Wc0IY+K8Yy++E+YcRHkOkPg1PnLSvGMaQOcqYayfkzg7r17dP36Dbpz5y7dvn2bbt2+Q6q4L0GCBBQ/XlyKKwRNKcQDFW880GR058//Rddv3FBCqr18+ZK+CBOGEiaIL/pMTvwwyszDIT8+BBg6CHidwJMnT5Xz+7Z6nt+6TTdv3RJClzD06tVL5SEvi3s5BHzcuHEoy3eZg9wT0/Pnz+ny5St05+498fl0PWIw796+o3jx41EC8eFrUdIkSShWrJheZ4YO/IfAmzdv6OChw8r96464h/3777/Ey8PEiRMpXjaTBwRQfPH7CSPuLTDXCHz48IEuXrqs3K/PnT9Pjx89pugxotPz5y8UwT5v58yRnVhU5azxOiRXHrmwsGyZUjR65DBnm0d5DxC4cuWqOL9uK2tF/n7w4KGyVowQPoJyfY4n7hssfk8pxIpmhL2uDol/h3///Q/duHlTWbvyN4+BBfKpU6cS/ScX68cEXh2D0dgfPXpEV69dF5zuiHvup/tYWCHSfvnyFbFoMFrUqJQ6VSrKnDljkN9jjcYdmvKC4hjx8c+dr5Ah1uVLFyprLftCb9++JT7f/rl4kS6I3/rNm7eUNQ+Lb1nQmzRpEtNCXPu2ze770nqMOZw79xc9fvJEue88fPiQvhHCal4bxogZQxH5xRVeDvne4+kXZczy0ivH65BbYr19/q+/6MyZc3Tv/n2KHDmSMg+eQ5TIUYgFi3xvc8V86Ti5Mn5n6mCd4AwtlAUBEAABEAABEAABbQIh5bnfmKGHaOu6a9qTRCoIgAAIgAAIgAAIhFACM1cWs5lZ/f7mHIUVyV6FWlbpbVMXO8YEIEA05uN0bkj5Q8TpiaMCCIAACIAACIAACIBAkBMYNGQYTZw0Vdove5n7IV9eaTkUAAEQAIHgJOCOADE4x42+QcBXCWCd4KtHBuMCARAAARAAARDwJwIh5bnf2VP3qfOvu/wJPcYKAiAAAiAAAiAAAm4TcFWA2L/ZXEof4LzjELcH7McNwJWNHx88DB0EQAAEQAAEQAAEQCD0EmBPX2bEh+z9K2+e3KEXFGYOAiAAAiAAAqGQANYJofCgY8ogAAIgAAIgAAIgYEDg24yxqXCpJAYlkAUCIAACIAACIAACIMAE2PshxIfO/xYgQHSeGWqAAAiAAAiAAAiAAAiAQLAR4FC6f+7eQ1Wq1zY1hsaNGyCEtilSKAQCIAACIAAC/k8A6wT/P4aYAQiAAAiAAAiAAAh4i0DL9jkoU9bY3moe7YIACIAACIAACICA3xPIlCI3Qi+7eBTDulgP1UAABEAABEAABEAABEAABLxMYP+BgzR4yHBKlCghhQsXxAQVBAAANDFJREFUjh49ekQnTp6mhw8fmur5m2++oYrly5oqi0IgAAIgAAIgAAL+RQDrBP86XhgtCIAACIAACIAACPgCgd5D89OYoYdo67prvjAcjAEEQAAEQAAEQAAEfIYAez5sWaW3z4zH3wYCAaK/HTGMFwRAAARAAARAAARAINQQuHbtOh07fkL5uDLpoYMHUOTIkV2pijogAAIgAAIgAAI+TgDrBB8/QBgeCIAACIAACIAACPgoAfaEWLh4Mtq68QqdOf6Q7t99SR8+/Oejo8WwQAAEQAAEQAAEQMA7BL4M8yXFjpaQMiTPSYHZKiDsspuYIUB0EyCqgwAIgAAIgAAIgAAIgIAvEihVsgSVKF7UF4eGMYEACIAACIAACAQzAawTgvkAoHsQAAEQAAEQAAEQCGYC32aMTfyBgQAIgAAIgAAIgEBoIrBq4NnQNN0gnWuYIO0NnYEACIAACIAACIAACIAACHidQJ7cuWjIoH5e7wcdgAAIgAAIgAAI+B8BrBP875hhxCAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiDgywQgQPTlo4OxgQAIgAAIgAAIgAAIgICTBEqWKEbTpkygiBEjOlkTxUEABEAABEAABEI6AawTQvoRxvxAAARAAARAAARAAARAAARAAARAAARAAARAIOgJIARz0DNHjyAAAiAAAiAAAiAAAiDgcQJp06ahzp060A/58nq8bTQIAiAAAiAAAiDg3wSwTvDv44fRgwAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIAvE4AA0ZePDsYGAiAAAiAAAiAAAiAQqgkkTJiQsmfLSjdu3qLnz5/Tv//+q/CIGTMmxY8Xl+LHj0+5c+WkXN/npDRpUlOYMHBwHqp/MJg8CPg5gXDhwxNf316/fq07k2+++UY3DxkgENoIYJ0Q2o445gsCIAACIAACIAACIAACIAACIAACIAACIAACvkngi/+E+ebQ/HNUp85fVgaeMW2Af04AowYBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABECA898OPAARAAARAAARAAARAAATkBOAiRc4IJUAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABOwIQIBoBwS7IAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACcgIQIMoZoQQIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIAdAQgQ7YBgFwRAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAQE4AAkQ5I5QAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARCwIwABoh0Q7IIACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACMgJQIAoZ4QSIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACdgQgQLQDgl0QAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAE5AQgQ5YxQAgRAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAwI4ABIh2QLALAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAgJwABopwRSoAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACNgRgADRDgh2QQAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAE5AQgQJQzQgkQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAE7AhAg2gHBLgiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAgJxA2P/++09eCiWcJgCuTiNDBRAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARDwOQJ47udzhwQDAgEQAAEQAAEQ8BMCX3zxhZ+MFMN0hwA8ILpDD3VBAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAARAAAQcCPCLHHiZwwFLiEsIG+JmFMwTwkkTzAcA3YMACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACICABwjguZ8HIKIJEAABEAABEAABEBAE1HUVPCKGzJ8DPCCGzOOKWYEACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACICAzxBgIaIqRvSZQWEgbhOAB0S3EaIBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEACBkEbg9evXQiz1aVbhw4ejoPTe9urVa7p37x6FjxCe4sSOrfT94cMHWrFyNZ0//xdVrVKJ0qRJbUH+7t07ev/+g7L/9ddf0ZdffmnJwwYI+BoBXxYhBuV57mvHxdXxQIDoKjnUAwEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQ8DoBFin8c/GSKY9JYcJ8QSlTpPD6mEJjBx8/fqSr127Qub/+pn//fUmJEiWglMmTUexYMU3hePnqFV25ep2uXb9FMWNEo4BkSShWzBim6uoVevPmLd29d1/Jjhs3NoX7+muHou/evaez5y8QC7fSp0tD4cI5lrGuxIKze/cfUtiwYSlB/LjWWdgOAgL25/s3ESNSwoQJpD2zWO/6jRuWcrFjx6Lo0aJZ9l3d+DZjVkvV9WtW2gj+LBke3liydDlNnDyVLl++Yml5354dFDdOHNq4aTP91qmLkr7qj7W0X6SrQsPmLVrRtu07lbzePbtRndo1LfWDYoOP3Y1bt+m/j/9RtGhRKUrkSE53e+fufTovrjF37t4jPqcDkiahZEkTG7bD/V66co3uijp8jkeNGkVa/vqNW0qZhAniWfgZVkJmqCLAvykzBqHiZ0oQIH5mgS0QAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQCNUETp+4T9s3XaOzJ+/TnVv/KiziJfiGvs0UmwoVS0IZMscOcj6vX7+h4iXLmu734oUzQeql7OHDh3Tz5icxS6RIkSh58gDTY/WXgrv3HaQFi1cSixDtrUihH6hiuZIUJkwY+yxl/8W//9K4iTPpyrXrDvksBmzRrCGlSuE8MxYzjp00QxFDcsPcToZv09j0ceHvSzRi7GSbtB8b1KJsWTLZpFnvjJ88i/6+eJnSpUlFrX5ubJ0V4rZPXzpE24+upjPi+87jT8cnXvTElD55DiqUtRxlEN9Bbfbn+zfffENHD+2lr776ynAoc+fNpwGDhlrKtG3dkn5p0dyy74kNs6Ikd/pi74Ydf++q28Q1IQJWja89L178axHcfRTCP9U+b6kp3v1+9uw5TZgy23KeBxbIS1Urmb9usyCQz1UWktpbmlQpqLE4byNH+sY+i54/f0G9Bgy3XAe4QIF8uahG1QoOZdWEjVt20Ko1GymC8Cw5oFdnCBBVMPh2moB6TYAQkQgCRKd/PqgAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiGPwLhhR2nLussOE2MhIn+2bbhCRUoFUIt2nz2CORQOhQmrhReyPv0GKjPP9X1Omj93ZoiisGv3flqwZKVlTnFjx6QoUaLQxctXFUHilu1/Cg+VV6hjuxaWMurGfeFJcMCwMRZREQsOE8SPR0+ePKHHT54RezAcPnoS1a1ZmfLkMid2Y8HH2g1bxWeL2o3mN3tcHD9lppJXuGA+4fkwHK3buJWmz15IyQOSCu94UR3q/bn3gCI+/OqrsNSwXg2H/JCUMG55D9p8aKnDlFiIeOfIddp6ZDkVzVGFWlTq5VAmKBP+FQJW9upXvFgR3W75NzFv/iLdfH/K2LFzl2W4AQHJqFmTxpQ6dSrhLfSTp9FKFcvT9p076ezZ8/TLzz9ZxIeWSsGwceLUWZo2az6xt1FXjD2rDh4x3iJwjhz5G0qUIIHwanhVuUb89fdF6tZ7EPXt0ZEiCUGqtU2YOlsRH6ZNnZKyZM5AS1euoZ3impVWCIi/y5TeuqiyffvOXUV8yDvNGtWVekR1aAAJIKBBQBUiclZoFSNCgKjxw0ASCIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIQmAr067qbjh+9Kp8wCxQf3XlKPQfmkZb1VILBQAYojQpFqGYciDa0P/7V4uJt24+ZtIT5coTQTIXx46vzbr5awyewNcdqsBXT0+Enh9ewaHTl20sGz4JYdfwrx4SulfrXK5ahQ/ryWIXHbw0dPpFci5PHSFWtMCRCfPH1K4ybNpBtWHidfvHhhadN645IQSL5584YSJohPVSqWUbIuizCt5/66QGfPXaC8uW0Fj48eP6GFS1aJcv9RgzrVNb2tWbfvz9s9pzej4xd2S6ew+eBSuv/kDvVsNEla1psFFi1eaihAPHT4iAjt7ehh05tj8lbbJ06csjTdvFkTqlK5omWfN+LEiU2L5s9RxHp6XkdtKnhx5/379zRfeEbdd+CQ0guHQH/3/oMY2wfTvbJwa9ioCZY6PzdpQBkzpLPU/3PPAdHHcuVcXr5qPdWrVcWS9/btO7osRIpsLZo1UMKmv3v3ThEhHjpy3EGAyNes8VNmidL/ifM/J6VJnUKpi39AwJMErMWI3G5oWZNAgOjJXxHashC4cPmmZRsbIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAAC/kcgdUBC/xs0RuwSAfZ8aEZ8qDbOZblOcHlCbCG8fmX5LrM6HNPfd+7coRs3bhKHBI4VKxYFJEtKHN5Vy14LURx752Njr33hhfiOxSsXLvwtQp6+oPTp0wuxy5f08uUr4X3rX0sTLHh7+vSZsh8xYgRL2Fgu814Ic9giiTCiLJTksqfPnFW2v8vsGBKY27l0+TK9/PclpRAhiuPGjaspZPjw4YMShpXb5jGpc3r06BGdOXuOYsSIITz+BSjhRrmMM3bqzDlLcWvxISey+InDGQ8a9oiuXr9B84VQkT2O8dxUO3zshLKZIX06G/EhJyZKGJ9q16hMU2fOU0SIHII1caIEalXN76Ur1lrEh0UDC9APeb+n7n0Ga5bl9thSJk+mfPM/qVIGKALE6/8XMKoZLBiZKDypsXAqc8YMlPW7jGpWiPset7y7KfGhOnEWKnKdFpV6q0lB/s1eATnMecKE2r+PxUuWOzUms+eWrFHrc4/Lckjfr4UIz9rYE+fly1fo7t17irfCZEmTUMz/ezO0LqdeNx6K81a1+PHiWa4nUaNGUZKt+/zyyzDiehJJLW76m68NV0VI9MdCdMuCxuQByShixIim66sFDx09YREfpkmVkpo0rE3d+w1RrllqGdn3tes3hWjxk+fEujWr2ogPuS6f4w8fPaaNW7YrfRUvUoDiijGzsTdDtlixYiriQ95O8f/z/Zq41tvbH+s204MHDxVm1SqVs8/GPgh4hYAqSAzpQkQIEL3y80GjIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIAACIOD7BE6fuK8Zdlk2cvaEWKBIYsqQ+ZMQRFY+OPP/Eh7vuvfqQ4cOHXEYRt06tahr544WoaBaYODgYTR7zjxl98dGDSh58gDqN2CwRWzIHsjO/fUX9ezVV62ifB87foKyZM+lbHfr0okaNqinbJerWFURIfHO5IljlZCyCxctUfL4n7/Pn7II9/bs2UdduvV08OjGwsJmTRoRCzCthQybNm+lFi1bK22lTZuGJk0YQ82at6Tz5/+ytM8bfXv3oJo1qtnUtSmgsXNGeAoU2jwRNjmuxfOhdTEeR+7vswsPiDfo3xcvhTjwNiVNkshShNPY4sfT9lgZL24cpX0uwx4IZQJELscCrxZNG1LqVMmVOjw+LXv27IXSdjSrUMu8zeWfPXtuU2Xbjt2C901FbFqv9mcPazaFQsDO6UuHaPPBZU7PhOsU+K4sZUhu6zXS6YbcqLB8xSpq+UtzhxZYuLd8xecQ4Q4FrBKcPbesqjpssiC54+9dRd/sNfOTrV65lDKk/1bZ4fyRo8fSjJlzLNcNtVzJEkWpb59eIgx4NCWJRYXqdUMtw991GzS27F68cEY5d3fu2k0/Nv3EISAgGW3dtM5SxnIyfU6x2WJWXcW1Ze36DTbpvPNTsx+pfdvWirDYIdMggc+napXKUqAIc66Y2Nc7J7WaOXv+0zWG87Jn1RaW5xXh2Tds3q5UP3r8FJUsFqhsP3v+6RyPHvVzOPVo0aIo/b948VkYzoX5/F6/aZtSr/mP9cR15CtlG/+AQFARCOlCRAgQg+qXFMr6wRtxoeyAY7ogAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SWD7pmsuj5vr+roA8erVa1SnfmN6+PCh5jznzJ1Pjx4+opEjhlgEgFxQFQrw9kER3nXq9Jm86ZTpiXAmT5lOh48c1Wxr+ozZ1Lf/QM089qI4fOQYuiLmNHTwAKsyQvHzf7t//wH92KQ5/f3PRTXJ8t21ey/F81rxYkUsabIN1cNY/HhxdYuqntm4wN17D2wEiAkTxKObt+7Q0WOnqFypYhYvZWpjBw595pAksdzraq6cWalmtQr0jQlvbdw325WrN9TuxPZ1ZVvN4x0e8xIRApqtScM6FDFCBGU7JP6z/ehnsZyz8+O6wSFAZG+BfP7OFufqz82b2pynPIc1az8L8JIkTuwg3FXn6dq5pdZ2/B4ybISN+HDenBkW8SGXHjRkOE2ZOt2xokhZv2Ez3blzj+bOnuGSZ1LNRiWJ7NW1SbOfda89EydNpbfC62tXIZw2a0mEx9JundqIMOefzjWz9azL8fWB7ZtvIuqKAmPFimGpwueraiyMZrP2aHr12ifPh9bXrPdC4DlBCb1MVFgIJZMHJFWbwDcIBDkBXl9Yv0QQ5APwUodhvNQumgUBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEPBxAmdO3nd5hO7UdblTJyqyaKlmnQYW8SF7EGRvhv369KSSJYpbWmJvYL37Wgv6LFnKxsmTp5TvgIBkVK1KJapcqYIIaxydvs+RnXr37EZFCn/yxsWF4omQqZzGnzy5v+ckB1PFh1m+y0R1atWgCuXLKmKEV69e04hRYyzlC+b/gQYP7Ef9+/ai/D/ktaSzx7W79+5Z9q03eM4sPixRvCi1bvULsUdEaxs1Zpz1rnQ7ebIkSplLl6/qllVFilzg7j3b31PNqhUUj2oPhMiz76CRdPL0OSWc6j+XrtDs+Utp09adSrtFA/MLb3CfvZjpdZbh27SmxIdcX/Wm+Nff/9BrEe76vQjzevLUWaXpJIk+iR1ZCDJp2mwl7fscWSnDt7a8lIwQ9M/pS4ddno07dV3tlM/ZurVrKtX5t713336HpuYtWKSkcdlKFcs75HOCJ84t64ZnzJxNkyZPsyRNnTyBcuf6fL6z91Rr8WH9enVo4vgx9HvH9pbwy+wtteWvbZU2OJw5eyjl64a11atbW0njPHcES/w7b9u+o0V8yKzatmmleEtlz4eqTRfzYqGmWUuYIL5b4kPuJ0XyT2LAf0Wo+ed2XgvVcbD3QtXu3v18jYkRPZpyfeHjq4ZcP3TkuFI0aeLPnliXr1xLj588JS5fsXwptSl8g0CwEeBz0ugTbANzo2N4QHQDHqqCAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAgD8TuHvLNkylM3Nxp64z/diXHTtuAsWOFcs+WdlnoU+6dGmVbQ5VeufOJ+9anDB31jTKnDmTksehiPv0G6CER+UE9oTI4qDw4cMr+fb/dOzQjpo1/RwOVc1PkyY1vXv3jrZs/RTaM1nSxFTn/4IptYzW99zZ04VAMZdN1u3bt6l8uTJKWuTIkaht61aW0NAsUsyR6wdLKNeDBw9T2TLaQpp2bX+lFs2bKe20avmzzTw5LDML8cKGNScVSJ8uDZ06c14R7xw7cZqyZM5gM+bnz1/Qtp17LGn2AsSUKUTo6p6dFO9jLCIaP3mmpSxvfPVVWPpJhEPlfjxtHAo6Y/q0yvg7du2rNP9GeHhLJtIziHS2dRu30a3bdxXva7WqVVTS+B8uxx7jrL07WjL9eOPuo08eIF2Zgjt1XelPrcOiQg5lzLZw0VL6Id9nMe7pM2ctoca53DeRvlGr2Xx76tziRv9Ys06cUwMt7Y8bM4ICCxWw7PPGmHETLft8XWnyYyPLfp48uals+crK/rbtO+ieEO3GiRObatWsrqSx50T2dspWqmRxypkju7Jt5p//dApdv3GDNmzcbMmdMW0SZc+WVdkvWqSw8FqahH7v0l3Zn7dgITVqWM9S1tsb36ZNbeli9dqNVLt6Jcs+b3Ao61VrNlrS7j347AGRRZlVK5WhRUtX04ChYyiyOP5PRXh1vq6ULP5JGH5RiJ3Va1TzpvUp7JdfKm1xuw8fPRb3kpiWtrEBAr5CgMWJbO4Ij4N6LmHVQQd1xyG9P3AN6UcY8wMBEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAgNBPDcz/goBwUf+z6279ilO6jChQtZvP6d+L/nQi7M4p5MmTLahFbu0K6NRYDIZS5c+JsyZrQV2HF6qpQpqGmTRjZ1OV3LWDNgP177cg0b1FW8pdmXCwhIRn16fRIBqXXUMuHChaPCgQVp9R9rlaxbt27r9tOwfl2bvMCCBW3myYKn+PHNhUzNlCEdLV7+hyICmjRtDlWuUFoRIXK41At/X6L5i5YTixBVeyM8Dapj5jQW+ezYtZesvSSqZfn73bv3Sn5cIcCKKbxKOmvWfXFd+/3G9WvR0pVriMWTPBb2clhFzIHtxs3b9Me6Tcp2s8Z1lfCvL1++pLGTZpLq8ZE9ptWvXY1Sp0qulAvt/9jz9QYP+z4SJkygiA7/3L1HhC7eSBxmPNb/RWNLli63DKFK5Yp08NBhyz5vqG0FBHjm3OIxDBg0lJtWjEOhlyhezNIPJ/L5xd4aVWvYoJ5N/rdCIM1eU1XRMosoC8XOrxZ3+Fbn4JDx/wSjfDXvjOhDtQLCs2q2rFlsxsTsVAHi5ctX6JkQ8bEI2l1T+zdqJ07sWBQ3TiwlFPqfew7Qe3FNKFQgL8WPF4euXrtBa9ZvofMX/rE08fbtW5uxF/whjyIY3rP/ED0RXg5ZzFy2VBFFjMhC4oniusVWqnhhSiQ8NvKY5onr1t79h5VrQrhwX1OZkkWpSKEfLH1gI+gI+JPALuiofO6Jf6/+wsjcaw2f54YtEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEACBEEIgbvxv6O5t17wgcl1ftmPHjlmGl84uFDFnsKgvQ/p0dPrMOaXcqdNnNAWIOXPmsLTjiY0s331n2AwLgPaIULNHjx4XYqZ7QuD3TAiCXtC163LvdQEByShChAg27WfKZCuqfP/hvU2+0U50IcDr2PZnGjR8vCLWWSZCmfLH2hIljK94VbwjQqNGEqFdrU0V+nBa8oCklC93DkUE9PjpMzp3/gLt+HOf4qHwihAa9erSzmHs1m25ss3iIvaopuVVbeLU2UqT+fPlolTCU+P/2rsPMCmre4/jf2BDpAgILCzLgixiAZYqGAhFUIoUUUAi1puYWFg1iT4xmsSCJibEAqIEFRAbRTEIIfqoYMFOULDCdfUSQCmLSDGAFOHee/5neF/ODDOzU3dm4HueZ2fedsr7mSI+83vO0TJl+kwbPszPbyCNTTDq05VlJpA4Xf50641Sp86x9ppcfmhcv5kkOpOh1s1UGX3+KNHwn5YFzz0vl5lQ3+7du0WXI9eiS42XtG1zWADRnnQekvlsaTNu+FCXWx9+7jCn9cDmipWB7xPvRPeefb1N/9kNKH5qvnf69okcQPQrJbHx8Sef+rVff+NNOa179P5WrFwp3X50ml8n3Ru/vf5qufOvE2Xrtu3y7tJl9s/tU2c0bF/SRpZ98LHUDPl+0+sG9utj/9w6uv303AU2IK0BxyFnnWlP67Lvb72z1Hz/VzdLrp9iw8n6nVbYpLG4szGGtsV+egTckGquBO3SIxG51VwJIRJAjPwacgYBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4ogXadsiX8gQDiFo3E2XalAelfbu2YbuuW7euf9wLFuqBJiYsFK4UFhb6AcQ1a9aGu0RqRFiWOezFMRysUSP8Ms8HDhyQh6ZMk/ET7o+hlfCXaKgmtFSrllwsoHmzIrnxulJ5fuGrUmZmItNZxbRoKEhnHxs2ZID86obAzI21nSVwdRZBnWVMy+m9usv5I4f5Mzk1a9bUBIpam9kU28mESVNsSGi+WWb1glHn2uvT/fAPs9TrN1u2Sl0TKjzv3KG2u61mOVadaU3v65Ybr7PPOuvjhx+vsIEoDTnleilp2UXKE1yGWetmqugSx7VMuFWXJp41+2nRWT4XLnrZX6r4ooPLF0caXyo+W6Ft6/LuGh4sKQn+Llq7Nvh7xA0bhrah+7o8crrLqlWrg7qoaEwbN5YHXZ/uHQ0V/u6Ga2XeghdlxcrP7DLKXp+6jPpFo0fKY08+bQ+53zHeNeGe9bP8jpkVUYsu8161alW7/eKi1+zzdddcbpaebiY66+KsOfPkpUWLCSBamcw9EEaMbJ8LIcTk/qUR+d6P3jMH1+E+egG4cwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSOAIGj5He/vgOaySsvrEnoBdO6mSj16tWTBg0aVNi1Lqf8ycGZv9Zt2BD2+i+/PDSrYCuz1HK6SixvJw1UueFDHf+ZfftIUVFTuxzq9b+5yQ9cRRynWQI6HaV58yIZY0I8WjZ9/Y0cY4KOdevWsfu6XKsub6ylWVGhfdaH/y47tGzq2YP7++FD/wKzoUsbFx/fXFav/dJc/4V7Kv7tWJBNq7qs68KXX7ftazBJA4da1pllrbVo4NI71uaUE20A8at14d8/tkIOPfTtNExefn9eQiPWupkq1atXt8uoT502XXQWw2XLP5BZT83xhzNk8CB/O9xGSj5bYRq+svSX8sJz84NmxywubhF05bSHJwft684us9R3rZo17fFoy6G7gazDGjEHYnzLS6tWLf0ln3Xmxj+FLPWubbtjam1mBqzsorOnXnLBSNvtt+Y7ZZ8JOjdsWN//3lh/MBTZ3HwfVlT2mKXgp0yfYS8bPmyQFDRuZLc1PL179x4bRtTPuZZTTm5ln7327Q4PGReo6L0fzwCPlJkVsz2ESAAxnndlDNem6d9zMfTMJQgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkCqBo+V3v7bt86X/kBay6Pk1cdFpHa2bmRLbq9Pl1E5+ANELIrrj1dnUPiv73D/U1izhmmzZvz/S8sYVj/m1xW/43Z97ztly793j/H3daNmy2L+foBPOTsW9OBfHsLnNLIn6nx077XLVBY0Dr7cuZ+qW1954x9895eQT/e1t27fbbZ157Biz3HWkUvvYwLLNGmRMpsRy7/r6PDj1cdtN/zN6S4vjD4VoN3+zxR7XpVi90qQgsP315m+8Qzn93LZlVxlw2khZuHRuXPehdbRuJsuI4eeIBhC1/GXc3fLhRx/bbT3uhWHtgTAPqfhsabN3jL3Ffg4vvvQy24vOgvj7m2+TSfeP93tt2yb4e6RXrx6Sl5euaE4s73oxM8a288d3ogla9zUzSmZL+e673eJ99pqbmVE1LKYzk7ql7ItVdpZUPdam9UnuqbDbM2bPtUFDXR5eP+de0VlPtdQ3S8t7obT8hoEw+65d35lA5//5x706POe+gBtm9F73XL2rbH6PBuYYzVVZxo0AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkJRA6fWdpVPXwAxRsTSk12qdbC/u0qhzn50v7y75V9CQb//jn4P2TzoxMBNW0MEYdqo54SKdmU1n2IpW3DCEe926dev93Tp1ArMLegfeX7a8wvChd20qnxe/tUTG3TtJbv/zvWbmw82HNa2BHm9J0xZmlsRjnSWYOxxcJltnR1z2QSAsFtrAjp27zJKrZfZwScisazojm86Elsoyd/5ztk0NIJ0zdGBQ0w3q17f7G8u/9o9v3BTY9kJK/okc3igdfrt0OqlHzHeg12qdTBf9fHbs0N4Owwsf6s6o80ZUOLRUfbZO7dxJunf7kfz6l9f4fb7w4ksyc9ZT/n5DE2graHwoxDr+vvv9c7qhn4exd9wp5194if175dXXgs5XtBPp+yNavTbOZ+vNt96WV18LzADq1dm+/Vu57BdX+WNavz4FM35GyEaWm8+Uew9fmb70O0b/3j64ZLI3Ln1Wr8dnzLGHNMxcYpZkjlY++mSl/b7Ra6/8+SVBgcIGDY6zVbeaYLU3Bi+UWKPGMUHXRuuDc7kroK97pL9cuSvvvZtt401XzDrb7pPxIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghEELh1XE+ZPH65mQlxdYQrAof7DynOifChjrbv6adLixbHy5o1a+3gddYynS2tWVGRvP3uu/L++8sDN2Uery69yiy7+wN/P56Npk2aBF0+aMg50r/fGTJwQD/p0uXUoHPRdnr8uJv8a+l79pInnpxpn9uVlEhZWZlMm/5YxKrpDCMMMLOHvfzqGzYENOGBKVJ6xU/NEsWBJVB1KeYHpx4a16gRZweNsbVZvlhDQBogevTJp2XL1m3So1tXu1zt3n375Iv/WS3Tn5htz2vFrqd29OvrjGf3TZpq9y+9aJR0Py12R7+RkI0vVq2WxW8usUdLr/gvqVatWtAVOlualrVmWe79Bw5Injlf9nlgGWnvXFCFHN657WcPy+Rnb5OF70WfCXFA15FSOiLz4UOP+oLRP/FnPtRj+lnuGsNnLNHPltdv6HPpmCtsoNn7vN469o/SsWMHadumtb302mvGyB9uGWu3H57yiF02unevnnLAvK/mzV8QdA8TJ9wT2nxq9p31mYuaNpVhZw+RBf983rZ9+ZWlctGFo6VTx46yefNm8/3yqGw5ODtgqxNaSmFh8HdaIgMyMa/Dqt0z8SFZ9e81cly9unLn2Jts4O/kE08wgc18Kd+0WWbPmS/Vf1BdTusS+C7Ys2ePzHhqrmwzAUktgweeGXU2VZ3F8JHHZ9lrRw0fKg0bBELF9oB50JlYNWioIfF16zfaJePLPl9lTzdNwT17/fCcmwLR/luabTMnRhur6mdivAQQc/N9z6gRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBlArorIa9z2wmixd9KSs+2izlG3bZ9gsKa0nbDvnSp39zKTHPuVJ0WdaZTz4qI867QDZt2mSH/ey8fxw2/AsvOF+u+9WhGc0Ou6CCA53NrGgNTNDFC/B8tW6dTH/sCRviiSeAOOisgfLw1OmiS0Nr8UKIXvdumNI7lu7nWrVqyohzBsvf5wVmDvzLPQ+Y5Zir2yVlNezjlaGD+kvL4uO9XfusAb7rrr1CJj00Xfbu3ScLnl9o/7xQonvx0EH9pEO7Q0vXujMmvr/so6QDiNr/w488abscclY/CRc20rCS3sO/V6+VceY+ddbDDz9eYUOU3bp2dod7RGxrsLB3x6GyePkC+XT1e1K+dZ29r4L6RVJS3FX6dB4mJRledjkUetBZA+TG393sH774otExBW1S/dnS8OqE8XdJ/4FD/c/r1df8Wp5bMFdq164to88fZb4Ptsj4+x6wY1246BXRv9DywMR7g2ZLDD2fzL4b/9Mw0l3j7pRvv/2PvP7Gm7ZZnbXRnblRD9aqVUsmT5oYk2m8Y9uzd68NH2o9DRRu2LjJfA4LbDMXjx4p403AORBWfkoenznHjKWmv+yyXnRSq5YyaEBfe32kB633/ff77ee4T+8fh73szD495bkXXpaJk6dJOzMz5NJlH9rr+vXtFfZ6DiKgAm7gLxPhvnhfBW+8lTnWPK/TeAfL9dEFcI3uw1kEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEckHgaPvdr237hqJ/kUo2eFQzs+rFOo7GjRrJ7BmPyV33jJcXX1oUdFsacLn855fJmKsut8fdNvPyDs2OV7Va9P406Pj49Kly3/1/M7OiLTGBpEAwT5dm9trUMJ5XqlQJ315xcQtZMO8Z+e1NfxBdytkrOqvarbf8XuY8M9efzbFK1Sp+21WrHmpb+/H69OqHPlcz11d0jVvnjNN7SGGTxjL10Zl25jAN8+mfFp1NbMSwwdKje9ewbZ5gAn2333yDzJj9jHyxao2tpyEjLRpEbFKQL8NN/TannBRUX2dKXLJ0mZkx7n+ld89uQedsZf+hir9V1THxDx7cmPfPF+zrojOtDR54RsT2xlx+qUz821QzO1q5rN9QbkNQP734J1LPzNgWj1lo/9m637a4i+hfpJL5ew4sl+qNr2bNmqKB4Vmzn7aHhp09NOh10e8Gr7if2+LixD5bXlves75nPZNG+fmiAUJduliLBo//evd4uWPsLXa/dMyVNoyooWIvAG1PmIdePXvY0HP79u389rxzPzSz9HkhZLc/77y+z93ijUePueeqmtChey7PfB9NemCC3H3PhMPCzVpXXa82Mzs2NstHu/X0XCJFg09uOz+sXl06d2wnyz/8xM6iqt8p3nkN/t5x829ksplRdcPGr20QcceOnbZbNTjdfAcMN0Ho0DbdcX2y4jPRP73+Fz+70G/bvUa3Bw04Q3SZdQ05L3lvub1eA9TtS1pHrBPaBvuxC1RmAC72USV3pfe+1Vay/f50rJU1xir79+93g8/JKVNbPi1bYxVKTm6BBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5KgAv/vl6AsXZdga6ik3MyFqeK5unTpSUND4sGV4o1SP+ZT5Dd4GaKqbwE2iZa+ZLay8fJPUMeHG4+rVS7SZlNfbum27rFn7lez7/nspaJQvRUWFdqniWDvasXOXbPp6sxxbu5Y0ym8YNRihy9VqmMENb8baT7LX6Th1+VedBZFyZAlU9mdL38e6zLF+dmocc4w0bVooyXw3pOLV2GeWQNfvlx07d0r9446TRuazHLokeSr6CdeGfv/qLKqRyq7vvjPLoK+Tbdu+lfz8BlJklkauWbNGpMsTPq4zJW7+Zotd/llDi5TMCVRWQC7dd5jN91EZYyOAmOJ3GP8jkmJQmkMAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgAwL87pcBdLpEAAEEEEAAAQRCBCojQBfSZVK72TjedI8pLykxKocRYELJMCgcQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCDHBPjdL8deMIaLAAIIIIAAAkeggLvscTy3l+7QXaSxuOPN1BhCx5bu5ZgJIIaKJ7lvls+mIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAjgvwu1+Ov4AMHwEEEEAAAQSOagE3CKgQmQgDumPIRP/uGyCdIUQCiK402wgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAkeUgBsG1Bur7ECg239l9+29kOkKIea5N+d1xnPyArgmb0gLCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCGRagN/9Mv0K0D8CCCCAAAIIZJNApsJzqTYI92+8yro3t+/K6tPzc/v2jrnPiYyHGRBdQbYRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTCClQUYAtb6eDBRMJt0dpL9bnQe6uM8bp9VkZ/FZl544lnLAQQK1LlPAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQFICXrgt3kbiCcPF23a060PHm+5xuP2lu69o963ndCyxjoEAYkWa8Z43+BQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhxAX73y/EXkOEjgAACCCCAwJEi4AbzQu8p1pBcaL1E9t1xpLvfeAKAidxLLHViHQMBxFg047iG+GEcWFyKAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQJYK8Ltflr4wDAsBBBBAAAEEEHAE3FCgc9hupjMkGNpvOvry+khH26FWkfZjCSHmeQON1AjHExPANTE3aiGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQTQL87pdNrwZjQQABBBBAAIFMCmQyCJfIfYf7d1y67sHtK9V9aNupbjMez4r6ZwbEeDS5FgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBA4CgXckF08t5/J8FzoOMPdQ6rH5/WRynbT0WaoTbR97T/S/RBAjCbHOQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgYQFvPBcIg1ECr0l0lakOuHGl4p+3XZT0Z6OP1oQMNL9pep4pL4JIKZK2GvHpD0pCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQ4wL87pfjLyDDRwABBBBAAIEjQcAN8YW7n1QF+0LbdvtNRR9ee9nWVuh9V7QfLoSY591cRZU5H5uAFz/ENTYvrkIAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgGwX43S8bXxXGhAACCCCAAAKZEkhFcC4dY4+U0UrleN0+km03HW0lO6Z4Xxe9B7dPZkCMV5DrEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGjSMANziV6225oLdE2Yq0XbbzJjCO03VS0lUwb6uGNKdl2YrX1+vT6I4AYjxzXIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIxC3gBeXiqeiF3OKpU9G1oeNIpg+3rUTb8dpItL53v6lqx2uvomftT8fMEswVScV73sBq8V7QeKtzPQIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIZIEAv/tlwYvAEBBAAAEEEEAgGYFkA23J9J2qutEyWKm6v9A+Em3XbSeRNrz6idR1vbWdZNtw24u2rX39PykajeO3um1PAAAAAElFTkSuQmCC" - } - }, - "cell_type": "markdown", - "id": "366bebcc", - "metadata": {}, - "source": [ - "## 1. HRLDAS and Noah-MP Repository\n", - "\n", - "We use the GitHub online platform to manage both HRLDAS and NoahMP code. Please see their links in:\n", - "\n", - "**HRLDAS: https://github.com/NCAR/hrldas**\n", - "![image-2.png](attachment:image-2.png)\n", - "\n", - "**NoahMP: https://github.com/NCAR/noahmp**\n", - "![image-3.png](attachment:image-3.png)\n" - ] - }, - { - "attachments": { - "image-4.png": { - "image/png": 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" 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" - } - }, - "cell_type": "markdown", - "id": "0c16b913", - "metadata": {}, - "source": [ - "## 2. Download the model code\n", - "We encourage obtaining a copy of the model source code from the GitHub repository, with the \"git clone\" command. Since the NoahMP model is organized as a submodule under the HRLDAS driver, don't forget to use \"--submodule\" option when making the copy:\n", - "\n", - "**git clone --recurse-submodules https://github.com/NCAR/hrldas**\n", - "\n", - "If the \"--recurse-submodules\" is not specified, the Noah-MP source code will not be downloaded.\n", - "By running the command above, you will get the following message:\n", - "\n", - "![image-4.png](attachment:image-4.png)\n", - "\n", - "\n", - "Then you can check the **hrldas** directory: \n", - "\n", - " `ls hrldas`\n", - " \n", - "![image-7.png](attachment:image-7.png)\n", - "\n", - "There you go! It is a very simple way to download the latest version of the HRLDAS/NoahMP model source code." - ] - }, - { - "attachments": { - "image-3.png": { - "image/png": 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" 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" 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" 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" - } - }, - "cell_type": "markdown", - "id": "03335197", - "metadata": {}, - "source": [ - "## 3. Configure and Compile\n", - "\n", - "Now we can start configure and compile the model.\n", - "\n", - "`cd ./hrldas/hrldas`\n", - "\n", - "`ls`\n", - "\n", - "![image-6.png](attachment:image-6.png)\n", - "\n", - "Start with `./configure`\n", - "![image-3.png](attachment:image-3.png)\n", - "\n", - "Type your compiler option in number in the command line. Let's say we will use intel compiler with MPI. That's option 4.\n", - "\n", - "A new configuration file **user_build_options** will appear in the directory. Go into the file and edit the correct path to necessary libraries. \n", - "\n", - "For building HRLDAS & NoahMP, two libraries are necessary, **netcdf** and **jpeg2000**. Please specify their paths in the **user_build_options** file. Here is an example how this file look like:\n", - "![image-5.png](attachment:image-5.png)\n", - "\n", - "\n", - "Note: Sometimes users will need to modify the **F90FLAGS** to work with their local computer environmental setup (e.g., the optimization level \"-O0\" can be changed to \"-O3\", etc.).\n", - "\n", - "Modify the paths for **LIBJASPER** and **INCJASPER** for jasper and **NETCDFMOD** and **NETCDFLIB** for netCDF library.\n", - "\n", - "After editing the **user_build_options** file, we can now compile the model with a simple command: \n", - "\n", - "`./make`\n", - "\n", - "and the model will start compiling through each module file. If you want to save the compilation log, you can run this:\n", - "\n", - "`./make >& compile.log`\n", - "\n", - "Search through the **compile.log** file, if there isn't any **\"Error\"** message, and two executables are successfully built: **hrldas.exe** in **run** directory and **create_forcing.exe** in **HRLDAS_forcing** directory.\n", - "\n", - "`ls ./run`\n", - "\n", - "![image-7.png](attachment:image-7.png)\n", - "\n", - "\n", - "`ls ./HRLDAS_forcing`\n", - "\n", - "![image-8.png](attachment:image-8.png)\n", - "\n", - "### Congratulations! You have successfully built the HRLDAS/Noah-MP model!" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 7ba10b25adb75ebe998b0fbd06f37b4f78d6447d Mon Sep 17 00:00:00 2001 From: Zhe Zhang Date: Fri, 26 May 2023 13:44:48 -0600 Subject: [PATCH 34/45] Add an instruction to build dependent libraries --- tutorial/Note0_Download_Compile.ipynb | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/tutorial/Note0_Download_Compile.ipynb b/tutorial/Note0_Download_Compile.ipynb index 7e31fe0..42294ea 100644 --- a/tutorial/Note0_Download_Compile.ipynb +++ b/tutorial/Note0_Download_Compile.ipynb @@ -115,11 +115,13 @@ "\n", "A new configuration file **user_build_options** will appear in the directory. Go into the file and edit the correct path to necessary libraries. \n", "\n", - "For building HRLDAS & NoahMP, two libraries are necessary, **netcdf** and **jpeg2000**. Please specify their paths in the **user_build_options** file. Here is an example how this file look like:\n", + "**Note**: For building HRLDAS & NoahMP, two libraries are necessary, **netcdf** and **jpeg2000**. This is similar to building WRF model, here is an example for how to build WRF library (netcdf and jasper): https://www2.mmm.ucar.edu/wrf/OnLineTutorial/compilation_tutorial.php#STEP2\n", + "\n", + "After building the libraries, you can specify their paths in the **user_build_options** file, here is an example how this file look like:\n", "![image-5.png](attachment:image-5.png)\n", "\n", "\n", - "Note: Sometimes users will need to modify the **F90FLAGS** to work with their local computer environmental setup (e.g., the optimization level \"-O0\" can be changed to \"-O3\", etc.).\n", + "**Note**: Sometimes users will need to modify the **F90FLAGS** to work with their local computer environmental setup (e.g., the optimization level \"-O0\" can be changed to \"-O3\", etc.).\n", "\n", "Modify the paths for **LIBJASPER** and **INCJASPER** for jasper and **NETCDFMOD** and **NETCDFLIB** for netCDF library.\n", "\n", From 9df967daec7fcc827a30982469fa8d88824aac24 Mon Sep 17 00:00:00 2001 From: Cenlin_He Date: Fri, 8 Sep 2023 08:19:52 -0600 Subject: [PATCH 35/45] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3eb3dfc..fda4626 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ Technical documentation freely available at http://dx.doi.org/10.5065/ew8g-yr95 **Original HRLDAS model description paper**: Fei Chen, Kevin W. Manning, Margaret A. LeMone, Stanley B. Trier, Joseph G. Alfieri, Rita Roberts, Mukul Tewari, Dev Niyogi, Thomas W. Horst, Steven P. Oncley, Jeffrey B. Basara, and Peter D. Blanken, 2007: Description and Evaluation of the Characteristics of the NCAR High-Resolution Land Data Assimilation System. J. Appl. Meteor. Climatol., 46, 694–713. doi: http://dx.doi.org/10.1175/JAM2463.1 -**HRLDAS/Noah-MP version 5.0 model description paper**: He, C., Valayamkunnath, P., Barlage, M., Chen, F., Gochis, D., Cabell, R., Schneider, T., Rasmussen, R., Niu, G.-Y., Yang, Z.-L., Niyogi, D., and Ek, M. (2023): Modernizing the open-source community Noah-MP land surface model (version 5.0) with enhanced modularity, interoperability, and applicability, Geosci. Model Dev., https://doi.org/10.5194/egusphere-2023-675, in review. +**HRLDAS/Noah-MP version 5.0 model description paper**: He, C., Valayamkunnath, P., Barlage, M., Chen, F., Gochis, D., Cabell, R., Schneider, T., Rasmussen, R., Niu, G.-Y., Yang, Z.-L., Niyogi, D., and Ek, M.: Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability, Geosci. Model Dev., 16, 5131–5151, https://doi.org/10.5194/gmd-16-5131-2023, 2023. ## HRLDAS GitHub structure From b9ed36cb9b96bd4d9b2622ba125e684b08d1c74a Mon Sep 17 00:00:00 2001 From: Prasanth Valayamkunnath Date: Sat, 9 Mar 2024 10:36:59 +0530 Subject: [PATCH 36/45] Update .gitmodules --- .gitmodules | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitmodules b/.gitmodules index 3e52658..ea2d974 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,4 +1,4 @@ [submodule "noahmp"] path = noahmp - url = https://github.com/NCAR/noahmp - branch = develop + url = https://github.com/prasanthvkrishna/noahmp + branch = master From 603f68f39ab68c00698da1f603f58a367983746a Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Wed, 16 Jul 2025 13:02:49 -0600 Subject: [PATCH 37/45] initial commit --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 65 +++++++++++++------ hrldas/IO_code/module_hrldas_netcdf_io.F | 68 ++++++++++++++++++++ 2 files changed, 113 insertions(+), 20 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 69e6d8a..faebeae 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -187,6 +187,45 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%kte = NoahmpIO%num_urban_atmosphere endif +!--------------------------------------------------------------------- +! Noah-MP Mosiac Scheme: Read Landuse fractions (3D) +!--------------------------------------------------------------------- + + if(NoahmpIO%IOPT_MOSAIC .eq. 1) then ! subgrid tiling based on land cover type only + + if ( trim(noahmpio%llanduse) == "usgs" ) then + noahmpio%NumMosaicCat = 28 + else if ( trim(noahmpio%llanduse) == "modified_igbp_modis_noah") then + noahmpio%NumMosaicCat = 21 + else if ( trim(noahmpio%llanduse) == "NLCD40") THEN + noahmpio%NumMosaicCat = 40 + end if + + if ( .not. allocated (NoahmpIO%landusef) ) & + allocate ( NoahmpIO%landusef (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + if ( .not. allocated (NoahmpIO%landusefRescaled) ) & + allocate ( NoahmpIO%landusefRescaled (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + if ( .not. allocated (NoahmpIO%landuseIndexSorted)) & + allocate ( NoahmpIO%landuseIndexSorted (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & + allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) + + NoahmpIO%landusef = 0.0 + NoahmpIO%landusefRescaled = 0.0 + NoahmpIO%landuseIndexSorted = 0 + NoahmpIO%NumberOfTiles = 0 + + ReadLanduseFraction (NoahmpIO%HRLDAS_SETUP_FILE, & + NoahmpIO%XSTART,NoahmpIO%XEND, & + NoahmpIO%YSTART, NoahmpIO%YEND, & + noahmpio%NumMosaicCat, NoahmpIO%landusef ) + + call NoahmpMosaicSortLanduse (NoahmpIO) ! sort the landuse fraction decreasing order and identify maximum number of title + ! based on 90% area fraction criteria. and rescale them to 100% + + endif ! more options can be added with a else option for soil type or hydro type etc. + + !--------------------------------------------------------------------- ! Allocate multi-dimension fields for subwindow calculation !--------------------------------------------------------------------- @@ -642,9 +681,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) #endif call READINIT_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & - NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%NSOIL, NoahmpIO%DZS, & - NoahmpIO%OLDDATE, LDASIN_VERSION, NoahmpIO%SMOIS, & - NoahmpIO%TSLB, NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, & + NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%NSOIL, NoahmpIO%DZS, & + NoahmpIO%OLDDATE, LDASIN_VERSION, NoahmpIO%SMOIS, & + NoahmpIO%TSLB, NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, & NoahmpIO%SNOWH, NoahmpIO%FNDSNOWH) NoahmpIO%VEGFRA = 0.0 @@ -1105,23 +1144,9 @@ subroutine land_driver_exe(itime) call wrf_message('calling WTABLE') !gmm update wtable from lateral flow and shed water to rivers - call WTABLE_MMF_NOAHMP(NoahmpIO, & - NoahmpIO%NSOIL, NoahmpIO%XLAND, NoahmpIO%XICE, & - NoahmpIO%XICE_THRESHOLD, NoahmpIO%ISICE, & - NoahmpIO%ISLTYP, NoahmpIO%SMOISEQ, NoahmpIO%DZS, & - NoahmpIO%WTDDT, NoahmpIO%FDEPTHXY, NoahmpIO%AREAXY, & - NoahmpIO%TERRAIN, NoahmpIO%ISURBAN, NoahmpIO%IVGTYP, & - NoahmpIO%RIVERCONDXY, NoahmpIO%RIVERBEDXY, NoahmpIO%EQZWT,& - NoahmpIO%PEXPXY, NoahmpIO%SMOIS, NoahmpIO%SH2O, & - NoahmpIO%SMCWTDXY, NoahmpIO%ZWTXY, NoahmpIO%QLATXY, & - NoahmpIO%QRFXY, NoahmpIO%DEEPRECHXY, NoahmpIO%QSPRINGXY, & - NoahmpIO%QSLATXY, NoahmpIO%QRFSXY, NoahmpIO%QSPRINGSXY, & - NoahmpIO%RECHXY, & - NoahmpIO%IDS, NoahmpIO%IDE, NoahmpIO%JDS, NoahmpIO%JDE, & - NoahmpIO%KDS, NoahmpIO%KDE, NoahmpIO%IMS, NoahmpIO%IME, & - NoahmpIO%JMS,NoahmpIO%JME, NoahmpIO%KMS,NoahmpIO%KME, & - NoahmpIO%ITS,NoahmpIO%ITE, NoahmpIO%JTS,NoahmpIO%JTE, & - NoahmpIO%KTS,NoahmpIO%KTE) + + call WTABLE_MMF_NOAHMP(NoahmpIO) + endif ! MMF timestep endif ! MMF groundwater diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index 0db5c93..5e7177b 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -585,6 +585,74 @@ subroutine read_mmf_runoff(wrfinput_flnm, & end subroutine read_mmf_runoff +!--------------------------------------------------------------------------------------------------------- + + subroutine ReadLanduseFraction(wrfinput_flnm, & ! in + xstart, xend, & ! in + ystart, yend, & ! in + NumberLulcCat, & ! in + landusef) ! out + + implicit none + character(len=*), intent(in) :: wrfinput_flnm + integer, intent(in) :: xstart, xend, ystart, yend, NumberLulcCat + real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: landusef + + character(len=256) :: units + integer :: ierr + integer :: ncid + real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend) :: xdum + integer :: rank + integer :: iltype + +#ifdef _PARALLEL_ + call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) + if (ierr /= MPI_SUCCESS) stop "MPI_COMM_RANK" +#else + rank = 0 +#endif + + + ! Open the NetCDF file. + if (rank == 0) write(*,'("wrfinput_flnm: ''", A, "''")') trim(wrfinput_flnm) +#ifdef _PARALLEL_ + ierr = nf90_open_par(wrfinput_flnm, NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(wrfinput_flnm, NF90_NOWRITE, ncid) +#endif + if (ierr /= 0) then + write(*,'("ReadLanduseFraction: Problem opening wrfinput file: ''", A, "''")') trim(wrfinput_flnm) +#ifdef _PARALLEL_ + call mpi_finalize(ierr) + if (ierr /= 0) write(*, '("Problem with MPI_finalize.")') +#endif + stop + endif + + ! Get landuse fraction + name = "LANDUSEF" + iret = nf90_inq_varid(ncid, name, varid) + if (iret == 0) then + + ierr = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,NumberLulcCat/)) + + do iltype = 1,NumberLulcCat + landusef(:,iltype,:) = xdum(:,:,iltype) + end do + + else + + write(*,*) "MODULE_HRLDAS_NETCDF_IO: Problem finding variable '"//trim(name)//"' in NetCDF file. Using default values." + + endif + + ! Close the NetCDF file + ierr = nf90_close(ncid) + if (ierr /= 0) stop "MODULE_HRLDAS_NETCDF_IO: ReadLanduseFraction: NF90_CLOSE" + + + end subroutine ReadLanduseFraction + !--------------------------------------------------------------------------------------------------------- subroutine read_agriculture_data(agdata_flnm, & From 40597a7f9e7bb9c1a788e4f89b0ab4e8b25e8e2c Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Mon, 29 Sep 2025 20:07:51 +0530 Subject: [PATCH 38/45] io_code_edited_v1 --- hrldas/IO_code/MosaicAverageMod.F90 | 115 ++ .../WriteNoahmpMosaicGridAverageOutputMod.F90 | 245 +++ .../WriteNoahmpMosaicSubgridOutputMod.F90 | 243 +++ hrldas/IO_code/WriteNoahmpOutputMod.F90 | 243 +++ hrldas/IO_code/module_NoahMP_hrldas_driver.F | 343 ++--- hrldas/IO_code/module_hrldas_netcdf_io.F | 1316 ++++++++++++++++- hrldas/MPP/mpp_land.F | 34 + 7 files changed, 2214 insertions(+), 325 deletions(-) create mode 100644 hrldas/IO_code/MosaicAverageMod.F90 create mode 100644 hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 create mode 100644 hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 create mode 100644 hrldas/IO_code/WriteNoahmpOutputMod.F90 diff --git a/hrldas/IO_code/MosaicAverageMod.F90 b/hrldas/IO_code/MosaicAverageMod.F90 new file mode 100644 index 0000000..a6595f3 --- /dev/null +++ b/hrldas/IO_code/MosaicAverageMod.F90 @@ -0,0 +1,115 @@ +module MosaicAverageMod + + !!! This module is part of NoahMP Mosaic/Subgrid Tiling Scheme + !!! Purpose: To calculate grid average value from all subgrid fractions + + ! ------------------------ Code history ----------------------------------- + ! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) + ! Date : September 12, 2025 + ! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + + implicit none + + type(NoahmpIO_type) :: NoahmpIO + + ! Interface block for MosaicAverage + interface MosaicAverage + module procedure MosaicAverage_2d + module procedure MosaicAverage_3d + module procedure MosaicAverage_2d_int + end interface MosaicAverage + + contains + + !=== Calculate averages along subgrid fractions ===! + + function MosaicAverage_2d(InVariable) result(OutAverage) + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: InVariable + real(kind=kind_noahmp), allocatable, dimension(:,:) :: OutAverage + integer :: ixpar, jxpar, nxpar + + ! Get dimensions + ixpar = size(InVariable, 1) + jxpar = size(InVariable, 2) + nxpar = size(InVariable, 3) + + ! Check dimensions of SubGrdFracRescaled + if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" + end if + + ! Allocate output array + allocate(OutAverage(ixpar, jxpar)) + + ! Calculate weighted average + OutAverage = sum(InVariable * NoahmpIO%SubGrdFracRescaled, dim=3) + + end function MosaicAverage_2d + + function MosaicAverage_3d(InVariable) result(OutAverage) + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: InVariable + real(kind=kind_noahmp), allocatable, dimension(:,:,:) :: OutAverage + real(kind=kind_noahmp), allocatable, dimension(:,:,:,:) :: SubGrdFrac + integer :: ixpar, jxpar, kxpar, nxpar, k + + ! Get dimensions + ixpar = size(InVariable, 1) + kxpar = size(InVariable, 2) + jxpar = size(InVariable, 3) + nxpar = size(InVariable, 4) + + ! Check dimensions of SubGrdFracRescaled + if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_3d" + end if + + ! Allocate arrays + allocate(OutAverage(ixpar, kxpar, jxpar)) + allocate(SubGrdFrac(ixpar, kxpar, jxpar, nxpar)) + + ! Populate SubGrdFrac + do k = 1, kxpar + SubGrdFrac(:, k, :, :) = NoahmpIO%SubGrdFracRescaled + end do + + ! Calculate weighted average + OutAverage = sum(InVariable * SubGrdFrac, dim=4) + + ! Deallocate temporary array + deallocate(SubGrdFrac) + + end function MosaicAverage_3d + + function MosaicAverage_2d_int (InVariable) result(OutAverage) + integer, dimension(:,:,:), intent(in) :: InVariable + integer, allocatable, dimension(:,:) :: OutAverage + integer :: ixpar, jxpar, nxpar + + ! Get dimensions + ixpar = size(InVariable, 1) + jxpar = size(InVariable, 2) + nxpar = size(InVariable, 3) + + ! Check dimensions of SubGrdFracRescaled + if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" + end if + + ! Allocate output array + allocate(OutAverage(ixpar, jxpar)) + + ! Calculate weighted average + OutAverage = nint(sum(InVariable * NoahmpIO%SubGrdFracRescaled, dim=3)) + + end function MosaicAverage_2d_int + +end module MosaicAverageMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 new file mode 100644 index 0000000..26a9423 --- /dev/null +++ b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 @@ -0,0 +1,245 @@ +module WriteNoahmpMosaicGridAverageOutputMod + +!!! This module part of NoahMP Mosaic/Subgrid Tiling Scheme +!!! Purpose: To write grid average values of Noah-MP Mosaic. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + use MosaicAverageMod + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine WriteNoahmpMosaicGridAverageOutput (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + + ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. + + ! Properties - Assigned or predicted + call add_to_output( NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output( NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output( NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output( NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output( NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + ! Forcing + call add_to_output( MosaicAverage(NoahmpIO%SWDOWN) , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%COSZEN) , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%GLW) , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%RAINBL) , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + ! Grid energy budget terms + call add_to_output( MosaicAverage(NoahmpIO%EMISS) , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%FSAXY) , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FIRAXY) , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GRDFLX) , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%HFX) , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%LH) , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%ECANXY) , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ETRANXY) , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%EDIRXY) , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ALBEDO) , "ALBEDO" , "Surface albedo" , "-" ) + ! Grid water budget terms - in addition to above + call add_to_output( MosaicAverage(NoahmpIO%UDRUNOFF) , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%SFCRUNOFF) , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%CANLIQXY) , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%CANICEXY) , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%ZWTXY) , "ZWT" , "Depth to water table" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%WAXY) , "WA" , "Water in aquifer" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%WTXY) , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QTDRAIN) , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%PONDINGXY) , "PONDING" , "total surface ponding per time step" , "mm/s" ) + ! Additional needed to close the canopy energy budget + call add_to_output( MosaicAverage(NoahmpIO%SAVXY) , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%TRXY) , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVCXY) , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRCXY) , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHCXY) , "SHC" , "Canopy sensible heat" , "W/m2" ) + ! Additional needed to close the under canopy ground energy budget + call add_to_output( MosaicAverage(NoahmpIO%IRGXY) , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHGXY) , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVGXY) , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GHVXY) , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + ! Needed to close the bare ground energy budget + call add_to_output( MosaicAverage(NoahmpIO%SAGXY) , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRBXY) , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHBXY) , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVBXY) , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GHBXY) , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + ! Above-soil temperatures + call add_to_output( MosaicAverage(NoahmpIO%TRADXY) , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGXY) , "TG" , "Ground temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TVXY) , "TV" , "Vegetation temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TAHXY) , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGVXY) , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGBXY) , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%T2MVXY) , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%T2MBXY) , "T2MB" , "2m Air Temp bare" , "K" ) + ! Above-soil moisture + call add_to_output( MosaicAverage(NoahmpIO%Q2MVXY) , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%Q2MBXY) , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%EAHXY) , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output( MosaicAverage(NoahmpIO%FWETXY) , "FWET" , "Wetted fraction of canopy" , "fraction" ) + ! Snow and soil - 3D terms + call add_to_output( MosaicAverage(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:,:)),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNICEXY) , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNLIQXY) , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%TSLB) , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%SMOIS) , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%SH2O) , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%TSNOXY) , "SNOW_T" , "snow temperature" , "K" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIRXY), "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIFXY), "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIRXY) , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIFXY) , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIRXY), "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIFXY), "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + ! Snow - 2D terms + call add_to_output( MosaicAverage(NoahmpIO%SNOWH) , "SNOWH" , "Snow depth" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOW) , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNOWXY) , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QRAINXY) , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ISNOWXY) , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWC) , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%ACSNOW) , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%ACSNOM) , "ACSNOM" , "accumulated snow melt water" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNBOTXY) , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QMELTXY) , "QMELT" , "snow melt due to phase change" , "mm/s" ) + ! SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call add_to_output( MosaicAverage(NoahmpIO%SNRDSXY) , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNFRXY) , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%BCPHIXY) , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%BCPHOXY) , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%OCPHIXY) , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%OCPHOXY) , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST1XY) , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST2XY) , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST3XY) , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST4XY) , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST5XY) , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHIXY), "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHOXY), "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHIXY), "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHOXY), "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST1XY), "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST2XY), "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST3XY), "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST4XY), "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST5XY), "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + endif + ! Exchange coefficients + call add_to_output( MosaicAverage(NoahmpIO%CMXY) , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHXY) , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHVXY) , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHBXY) , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHLEAFXY) , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHUCXY) , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHV2XY) , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHB2XY) , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + ! Carbon allocation model + call add_to_output( MosaicAverage(NoahmpIO%LFMASSXY) , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%RTMASSXY) , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%STMASSXY) , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%WOODXY) , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GRAINXY) , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GDDXY) , "GDD" , "Growing degree days " , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%STBLCPXY) , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FASTCPXY) , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%NEEXY) , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%GPPXY) , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%NPPXY) , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%PSNXY) , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%APARXY) , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + ! additional NoahMP output + if (NoahmpIO%noahmp_output > 0) then + ! additional water budget terms + call add_to_output( MosaicAverage(NoahmpIO%QINTSXY) , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QINTRXY) , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDRIPSXY) , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDRIPRXY) , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QTHROSXY) , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QTHRORXY) , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNSUBXY) , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNFROXY) , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSUBCXY) , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QFROCXY) , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QEVACXY) , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDEWCXY) , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QFRZCXY) , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QMELTCXY) , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%FPICEXY) , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%ACC_QINSURXY),"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output( MosaicAverage(NoahmpIO%ACC_QSEVAXY) ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANIXY),"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output( MosaicAverage(NoahmpIO%ACC_DWATERXY),"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_PRCPXY) ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ECANXY) ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANXY) ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_EDIRXY) ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_GLAFLWXY),"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + ! additional energy terms + call add_to_output( MosaicAverage(NoahmpIO%PAHXY) , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHGXY) , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHBXY) , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHVXY) , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%ACC_SSOILXY), "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EFLXBXY) , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SOILENERGY) , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWENERGY) , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%CANHSXY) , "CANHS" , "canopy heat storage change" , "W/m2" ) + ! additional forcing terms + call add_to_output( MosaicAverage(NoahmpIO%RAINLSM) , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWLSM) , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCTLSM) , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCQLSM) , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCPLSM) , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCZLSM) , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCWLSM) , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%RadSwVisFrac) , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) + call add_to_output( MosaicAverage(NoahmpIO%RadSwDirFrac) , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + endif + + ! Irrigation + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_output( MosaicAverage(NoahmpIO%IRNUMSI) , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRNUMMI) , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRNUMFI) , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRELOSS) , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRSIVOL) , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRMIVOL) , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRFIVOL) , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRRSPLH) , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + endif + ! MMF groundwater model + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_output( MosaicAverage(NoahmpIO%SMCWTDXY) , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output( MosaicAverage(NoahmpIO%RECHXY) , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%DEEPRECHXY) , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%QRFSXY) , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QRFXY) , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%QSPRINGSXY) , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QSPRINGXY) , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%QSLATXY) , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QLATXY) , "QLAT" , "instantaneous lateral flow" , "m" ) + endif + ! Wetland model + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call add_to_output( MosaicAverage(NoahmpIO%FSATXY) , "FSAT" , "saturated fraction of the grid" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%WSURFXY) , "WSURF" , "Wetland Water Storage" , "mm") + endif + + end subroutine WriteNoahmpMosaicGridAverageOutput + +end module WriteNoahmpMosaicGridAverageOutputMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 new file mode 100644 index 0000000..4a8db1a --- /dev/null +++ b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 @@ -0,0 +1,243 @@ +module WriteNoahmpMosaicSubgridOutputMod + +!!! This module part of NoahMP Mosaic/Subgrid Tiling Scheme +!!! Purpose: To write grid average values of Noah-MP Mosaic. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine WriteNoahmpMosaicSubgridOutput (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. + + ! Properties - Assigned or predicted + call add_to_output_mosaic(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output_mosaic(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output_mosaic(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output_mosaic(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output_mosaic(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + ! Forcing + call add_to_output_mosaic(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output_mosaic(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + ! Grid energy budget terms + call add_to_output_mosaic(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output_mosaic(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) + ! Grid water budget terms - in addition to above + call add_to_output_mosaic(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output_mosaic(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output_mosaic(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output_mosaic(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output_mosaic(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) + call add_to_output_mosaic(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) + call add_to_output_mosaic(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + call add_to_output_mosaic(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) + ! Additional needed to close the canopy energy budget + call add_to_output_mosaic(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) + ! Additional needed to close the under canopy ground energy budget + call add_to_output_mosaic(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + ! Needed to close the bare ground energy budget + call add_to_output_mosaic(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + ! Above-soil temperatures + call add_to_output_mosaic(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output_mosaic(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output_mosaic(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) + ! Above-soil moisture + call add_to_output_mosaic(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output_mosaic(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) + ! Snow and soil - 3D terms + call add_to_output_mosaic(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output_mosaic(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output_mosaic(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output_mosaic(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output_mosaic(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output_mosaic(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output_mosaic(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") + call add_to_output_mosaic(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + ! Snow - 2D terms + call add_to_output_mosaic(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) + call add_to_output_mosaic(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output_mosaic(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output_mosaic(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output_mosaic(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) + ! SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call add_to_output_mosaic(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output_mosaic(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output_mosaic(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + endif + ! Exchange coefficients + call add_to_output_mosaic(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + ! Carbon allocation model + call add_to_output_mosaic(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) + call add_to_output_mosaic(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output_mosaic(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output_mosaic(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output_mosaic(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output_mosaic(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output_mosaic(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output_mosaic(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + ! additional NoahMP output + if (NoahmpIO%noahmp_output > 0) then + ! additional water budget terms + call add_to_output_mosaic(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output_mosaic(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output_mosaic(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output_mosaic(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output_mosaic(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output_mosaic(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output_mosaic(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + ! additional energy terms + call add_to_output_mosaic(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output_mosaic(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output_mosaic(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output_mosaic(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) + ! additional forcing terms + call add_to_output_mosaic(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output_mosaic(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output_mosaic(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output_mosaic(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) + call add_to_output_mosaic(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + endif + + ! Irrigation + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_output_mosaic(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + endif + ! MMF groundwater model + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_output_mosaic(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output_mosaic(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output_mosaic(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output_mosaic(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output_mosaic(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output_mosaic(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) + endif + ! Wetland model + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call add_to_output_mosaic(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) + call add_to_output_mosaic(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") + endif + + end subroutine WriteNoahmpMosaicSubgridOutput + +end module WriteNoahmpMosaicSubgridOutputMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpOutputMod.F90 b/hrldas/IO_code/WriteNoahmpOutputMod.F90 new file mode 100644 index 0000000..4f72703 --- /dev/null +++ b/hrldas/IO_code/WriteNoahmpOutputMod.F90 @@ -0,0 +1,243 @@ +module WriteNoahmpOutputMod + +!!! This module part of NoahMP/HRLDAS output writing workflow +!!! Purpose: To write NoahMP grid values to model output file. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine WriteNoahmpOutput (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. + + ! Properties - Assigned or predicted + call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + ! Forcing + call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + ! Grid energy budget terms + call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) + ! Grid water budget terms - in addition to above + call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) + call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) + call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) + ! Additional needed to close the canopy energy budget + call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) + ! Additional needed to close the under canopy ground energy budget + call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + ! Needed to close the bare ground energy budget + call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + ! Above-soil temperatures + call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) + call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) + call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) + ! Above-soil moisture + call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) + ! Snow and soil - 3D terms + call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") + call add_to_output(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + ! Snow - 2D terms + call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) + call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) + call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) + ! SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call add_to_output(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + endif + ! Exchange coefficients + call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + ! Carbon allocation model + call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) + call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + ! additional NoahMP output + if (NoahmpIO%noahmp_output > 0) then + ! additional water budget terms + call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + ! additional energy terms + call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) + ! additional forcing terms + call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + call add_to_output(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) + call add_to_output(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + endif + + ! Irrigation + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + endif + ! MMF groundwater model + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) + endif + ! Wetland model + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call add_to_output(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) + call add_to_output(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") + endif + + end subroutine WriteNoahmpOutput + +end module WriteNoahmpOutputMod \ No newline at end of file diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index faebeae..aaa2580 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -14,6 +14,9 @@ module module_NoahMP_hrldas_driver use module_sf_urban, only : urban_param_init, urban_var_init use module_date_utilities use SnowInputSnicarMod, only : SnowInputSnicar + use WriteNoahmpMosaicGridAverageOutputMod + use WriteNoahmpMosaicSubgridOutputMod + use WriteNoahmpOutputMod #ifdef MPP_LAND use module_mpp_land, only: MPP_LAND_PAR_INI, mpp_land_init, getLocalXY, mpp_land_bcast_char @@ -67,7 +70,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) integer, optional, intent(in) :: wrfits,wrfite,wrfjts,wrfjte !local - integer :: xstart, xend, ystart, yend, ixfull, jxfull + integer :: xstart, xend, ystart, yend, ixfull, jxfull, NTilesMax #ifdef MPP_LAND call MPP_LAND_INIT() @@ -163,21 +166,21 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) #endif NoahmpIO%ids = NoahmpIO%xstart - NoahmpIO%ide = NoahmpIO%xend + NoahmpIO%ide = NoahmpIO%xend NoahmpIO%jds = NoahmpIO%ystart - NoahmpIO%jde = NoahmpIO%yend + NoahmpIO%jde = NoahmpIO%yend NoahmpIO%kds = 1 NoahmpIO%kde = 2 NoahmpIO%its = NoahmpIO%xstart - NoahmpIO%ite = NoahmpIO%xend + NoahmpIO%ite = NoahmpIO%xend NoahmpIO%jts = NoahmpIO%ystart - NoahmpIO%jte = NoahmpIO%yend + NoahmpIO%jte = NoahmpIO%yend NoahmpIO%kts = 1 NoahmpIO%kte = 2 NoahmpIO%ims = NoahmpIO%xstart - NoahmpIO%ime = NoahmpIO%xend + NoahmpIO%ime = NoahmpIO%xend NoahmpIO%jms = NoahmpIO%ystart - NoahmpIO%jme = NoahmpIO%yend + NoahmpIO%jme = NoahmpIO%yend NoahmpIO%kms = 1 NoahmpIO%kme = 2 @@ -188,7 +191,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) endif !--------------------------------------------------------------------- -! Noah-MP Mosiac Scheme: Read Landuse fractions (3D) +! Noah-MP Mosiac Scheme: Read Subgrid Fractions (3D) ! Prasanth V. !--------------------------------------------------------------------- if(NoahmpIO%IOPT_MOSAIC .eq. 1) then ! subgrid tiling based on land cover type only @@ -201,30 +204,39 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) noahmpio%NumMosaicCat = 40 end if - if ( .not. allocated (NoahmpIO%landusef) ) & + if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & allocate ( NoahmpIO%landusef (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) - if ( .not. allocated (NoahmpIO%landusefRescaled) ) & - allocate ( NoahmpIO%landusefRescaled (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) - if ( .not. allocated (NoahmpIO%landuseIndexSorted)) & - allocate ( NoahmpIO%landuseIndexSorted (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & + allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & + allocate ( NoahmpIO%SubGrdIndexSorted (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) - NoahmpIO%landusef = 0.0 - NoahmpIO%landusefRescaled = 0.0 - NoahmpIO%landuseIndexSorted = 0 - NoahmpIO%NumberOfTiles = 0 + NoahmpIO%SubGrdFrac = 0.0 + NoahmpIO%SubGrdFracRescaled = 0.0 + NoahmpIO%SubGrdIndexSorted = 0 + NoahmpIO%NumberOfTiles = 1 + NoahmpIO%SubGrdFracName = "LANDUSEF" - ReadLanduseFraction (NoahmpIO%HRLDAS_SETUP_FILE, & - NoahmpIO%XSTART,NoahmpIO%XEND, & - NoahmpIO%YSTART, NoahmpIO%YEND, & - noahmpio%NumMosaicCat, NoahmpIO%landusef ) - - call NoahmpMosaicSortLanduse (NoahmpIO) ! sort the landuse fraction decreasing order and identify maximum number of title + call ReadMosaicTileFrac (NoahmpIO%HRLDAS_SETUP_FILE, & + NoahmpIO%XSTART,NoahmpIO%XEND, & + NoahmpIO%YSTART, NoahmpIO%YEND, & + noahmpio%NumMosaicCat, NoahmpIO%SubGrdFrac,& + NoahmpIO%SubGrdFracName & + ) + + call NoahmpMosaicSortTileCat (NoahmpIO) ! sort the landuse fraction decreasing order and identify maximum number of title ! based on 90% area fraction criteria. and rescale them to 100% - endif ! more options can be added with a else option for soil type or hydro type etc. + else ! more options can be added with a else option for soil type or hydro type etc. + ! since all variables are with subgrid dimension, it should be 1 when mosaic is off + NoahmpIO%NTilesMax = 1 ! maximum subgrid tiles + NoahmpIO%NumberOfTiles = 1 ! 2D array of number of subgrid tiles + NoahmpIO%SubGrdFracRescaled = 1 ! 3D array of subgrid fractions + endif +! Noah-MP Mosiac Scheme: Initialization Ends !--------------------------------------------------------------------- ! Allocate multi-dimension fields for subwindow calculation @@ -367,12 +379,13 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%DZS = NoahmpIO%SOIL_THICK_INPUT(1:NoahmpIO%NSOIL) NoahmpIO%ITIMESTEP = 1 xstart = NoahmpIO%xstart - xend = NoahmpIO%xend + xend = NoahmpIO%xend ystart = NoahmpIO%ystart - yend = NoahmpIO%yend + yend = NoahmpIO%yend ixfull = NoahmpIO%ixfull jxfull = NoahmpIO%jxfull - + NTilesMax = NoahmpIO%NTilesMax + if (NoahmpIO%restart_filename_requested /= " ") then NoahmpIO%restart_flag = .true. @@ -1161,236 +1174,62 @@ subroutine land_driver_exe(itime) if (mod(ITIME*NoahmpIO%noah_timestep, NoahmpIO%output_timestep) == 0 & .and. .not. NoahmpIO%skip_first_output ) then - call prepare_output_file (trim(NoahmpIO%outdir), version, & - NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & - NoahmpIO%split_output_count, NoahmpIO%hgrid, & - NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & - NoahmpIO%xstartpar, NoahmpIO%ystartpar, & - NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & - NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & - NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& - NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & - NoahmpIO%spinup_loop, & - NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) + if(NoahmpIO%IOPT_MOSAIC > 1) then + if(IOPT_MOSAIC_OUTPUT == 0) then + call prepare_output_file (trim(NoahmpIO%outdir), version, & + NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & + NoahmpIO%split_output_count, NoahmpIO%hgrid, & + NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & + NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & + NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & + NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& + NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & + NoahmpIO%spinup_loop, & + NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) + + else + call prepare_output_file_mosaic (trim(NoahmpIO%outdir), version, & + NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & + NoahmpIO%split_output_count, NoahmpIO%hgrid, & + NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & + NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & + NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & + NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& + NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & + NoahmpIO%spinup_loop, & + NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP, & + NoahmpIO%NTilesMax) + endif + else + call prepare_output_file (trim(NoahmpIO%outdir), version, & + NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & + NoahmpIO%split_output_count, NoahmpIO%hgrid, & + NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & + NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & + NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & + NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& + NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & + NoahmpIO%spinup_loop, & + NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) + endif DEFINE_MODE_LOOP : do imode = 1, 2 call set_output_define_mode(imode) - ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. - - ! Properties - Assigned or predicted - call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) - call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) - ! Forcing - call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) - call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) - ! Grid energy budget terms - call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) - call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) - call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) - call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) - call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) - ! Grid water budget terms - in addition to above - call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) - call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) - call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) - call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) - ! Additional needed to close the canopy energy budget - call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) - call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) - ! Additional needed to close the under canopy ground energy budget - call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) - ! Needed to close the bare ground energy budget - call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) - call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) - ! Above-soil temperatures - call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) - call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) - call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) - ! Above-soil moisture - call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) - ! Snow and soil - 3D terms - call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") - call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") - call add_to_output(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") - ! Snow - 2D terms - call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) - call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) - call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) - call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) - call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) - call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) - ! SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call add_to_output(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") - call add_to_output(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") - call add_to_output(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") - endif - ! Exchange coefficients - call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) - call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) - ! Carbon allocation model - call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) - call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) - call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) - call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) - call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) - call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) - call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) - call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) - call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) - call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) - call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) - call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) - call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) - ! additional NoahMP output - if (NoahmpIO%noahmp_output > 0) then - ! additional water budget terms - call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) - call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) - call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) - call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) - call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) - call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") - call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") - ! additional energy terms - call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) - call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) - call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) - call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) - call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) - ! additional forcing terms - call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) - call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) - call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) - call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) - call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) - call add_to_output(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) - call add_to_output(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) - endif - - ! Irrigation - if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) - call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) - endif - ! MMF groundwater model - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) - call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) - endif - ! Wetland model - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_output(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) - call add_to_output(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") - endif - + if(NoahmpIO%IOPT_MOSAIC > 1) then + if(IOPT_MOSAIC_OUTPUT == 0) then + call WriteNoahmpMosaicGridAverageOutput(NoahmpIO) + else if(IOPT_MOSAIC_OUTPUT == 1) then + call WriteNoahmpMosaicSubgridOutput(NoahmpIO) + endif + else + call WriteNoahmpOutput(NoahmpIO) + endif + ! For now, no urban output variables included enddo DEFINE_MODE_LOOP diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index 5e7177b..db71686 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -55,10 +55,12 @@ module module_hrldas_netcdf_io logical, private :: define_mode_remember integer, private :: dimid_ix_remember integer, private :: dimid_jx_remember + integer, private :: dimid_nx_remember integer, private :: dimid_times_remember integer, private :: dimid_layers_remember integer, private :: dimid_snow_layers_remember integer, private :: dimid_numrad_layers_remember + interface prepare_output_file #ifdef MPP_LAND module procedure prepare_output_file_mpp @@ -101,6 +103,41 @@ module module_hrldas_netcdf_io #endif end interface +! NoahMP Mosaic + + interface prepare_output_file_mosaic +#ifdef MPP_LAND + module procedure prepare_output_file_mpp_mosaic +#else + module procedure prepare_output_file_seq_mosaic +#endif + end interface + + interface add_to_restart_mosaic +#ifdef MPP_LAND + module procedure add_to_restart_2d_float_mpp_mosaic, add_to_restart_2d_integer_mpp_mosaic, add_to_restart_3d_mpp_mosaic +#else + module procedure add_to_restart_2d_float_mosaic, add_to_restart_2d_integer_mosaic, add_to_restart_3d_mosaic +#endif + end interface + + interface get_from_restart_mosaic +#ifdef MPP_LAND + module procedure get_from_restart_2d_float_mpp_mosaic, get_from_restart_2d_integer_mpp_mosaic, get_from_restart_3d_mpp_mosaic, & + get_from_restart_att_mosaic +#else + module procedure get_from_restart_2d_float_mosaic, get_from_restart_2d_integer_mosaic, get_from_restart_3d_mosaic, get_from_restart_att_mosaic +#endif + end interface + + interface add_to_output_mosaic +#ifdef MPP_LAND + module procedure add_to_output_2d_float_mpp_mosaic, add_to_output_2d_integer_mpp_mosaic, add_to_output_3d_mpp_mosaic +#else + module procedure add_to_output_2d_float_mosaic, add_to_output_2d_integer_mosaic, add_to_output_3d_mosaic +#endif + end interface + contains !------------------------------------------------------------------------------------------------------- @@ -585,74 +622,6 @@ subroutine read_mmf_runoff(wrfinput_flnm, & end subroutine read_mmf_runoff -!--------------------------------------------------------------------------------------------------------- - - subroutine ReadLanduseFraction(wrfinput_flnm, & ! in - xstart, xend, & ! in - ystart, yend, & ! in - NumberLulcCat, & ! in - landusef) ! out - - implicit none - character(len=*), intent(in) :: wrfinput_flnm - integer, intent(in) :: xstart, xend, ystart, yend, NumberLulcCat - real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: landusef - - character(len=256) :: units - integer :: ierr - integer :: ncid - real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend) :: xdum - integer :: rank - integer :: iltype - -#ifdef _PARALLEL_ - call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) - if (ierr /= MPI_SUCCESS) stop "MPI_COMM_RANK" -#else - rank = 0 -#endif - - - ! Open the NetCDF file. - if (rank == 0) write(*,'("wrfinput_flnm: ''", A, "''")') trim(wrfinput_flnm) -#ifdef _PARALLEL_ - ierr = nf90_open_par(wrfinput_flnm, NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) -#else - ierr = nf90_open(wrfinput_flnm, NF90_NOWRITE, ncid) -#endif - if (ierr /= 0) then - write(*,'("ReadLanduseFraction: Problem opening wrfinput file: ''", A, "''")') trim(wrfinput_flnm) -#ifdef _PARALLEL_ - call mpi_finalize(ierr) - if (ierr /= 0) write(*, '("Problem with MPI_finalize.")') -#endif - stop - endif - - ! Get landuse fraction - name = "LANDUSEF" - iret = nf90_inq_varid(ncid, name, varid) - if (iret == 0) then - - ierr = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,NumberLulcCat/)) - - do iltype = 1,NumberLulcCat - landusef(:,iltype,:) = xdum(:,:,iltype) - end do - - else - - write(*,*) "MODULE_HRLDAS_NETCDF_IO: Problem finding variable '"//trim(name)//"' in NetCDF file. Using default values." - - endif - - ! Close the NetCDF file - ierr = nf90_close(ncid) - if (ierr /= 0) stop "MODULE_HRLDAS_NETCDF_IO: ReadLanduseFraction: NF90_CLOSE" - - - end subroutine ReadLanduseFraction - !--------------------------------------------------------------------------------------------------------- subroutine read_agriculture_data(agdata_flnm, & @@ -3383,7 +3352,7 @@ subroutine add_to_output_2d_float ( array, name, description, units ) integer :: ixpar, jxpar if (define_mode_remember) then - call make_var_att_2d ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_times_remember , & + call make_var_att_2d_mosaic ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_times_remember , & NF90_FLOAT , trim(name) , trim(description) , trim(units) ) else ixpar = size(array,1) @@ -3644,7 +3613,7 @@ end subroutine finalize_restart_file #ifdef MPP_LAND subroutine prepare_restart_file_mpp(outdir, version, igrid, llanduse, olddate, startdate, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & iswater, vegtyp) implicit none @@ -3664,6 +3633,7 @@ subroutine prepare_restart_file_mpp(outdir, version, igrid, llanduse, olddate, s integer, intent(in) :: nsoil integer, intent(in) :: nsnow integer, intent(in) :: nrad + integer, intent(in) :: ntile integer, intent(in) :: num_urban_layers real(kind=kind_noahmp), intent(in) :: dx, dy real(kind=kind_noahmp), intent(in) :: truelat1, truelat2 @@ -3677,7 +3647,7 @@ subroutine prepare_restart_file_mpp(outdir, version, igrid, llanduse, olddate, s if(my_id .eq. io_id) then call prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, startdate, & global_nx, global_ny, global_nx, global_ny, xstartpar, ystartpar, & - nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & iswater, gvegtyp) endif @@ -3688,7 +3658,7 @@ end subroutine prepare_restart_file_mpp subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, startdate, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & iswater, vegtyp) implicit none @@ -3709,6 +3679,7 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s integer, intent(in) :: nsoil integer, intent(in) :: nsnow integer, intent(in) :: nrad + integer, intent(in) :: ntile integer, intent(in) :: num_urban_layers real(kind=kind_noahmp), intent(in) :: dx, dy real(kind=kind_noahmp), intent(in) :: truelat1, truelat2 @@ -3722,7 +3693,8 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s character(len=256) :: output_flnm integer :: ierr integer :: varid - integer :: dimid_times, dimid_datelen, dimid_ix, dimid_jx, dimid_dum, dimid_layers, dimid_snow_layers, dimid_sosn_layers, dimid_urban,dimid_numrad_layers + integer :: dimid_times, dimid_datelen, dimid_ix, dimid_jx, dimid_dum, dimid_layers, dimid_snow_layers, & + dimid_sosn_layers, dimid_urban,dimid_numrad_layers, dimid_tile_layers character(len=19) :: date19 integer :: rank @@ -3772,6 +3744,7 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s ierr = nf90_def_dim(ncid, "sosn_layers", nsnow+nsoil, dimid_sosn_layers) ierr = nf90_def_dim(ncid, "urban_layers", num_urban_layers, dimid_urban) ierr = nf90_def_dim(ncid, "rad_layers", nrad, dimid_numrad_layers) + ierr = nf90_def_dim(ncid, "tile_layers", ntile, dimid_tile_layers) ierr = nf90_put_att(ncid, NF90_GLOBAL, "TITLE", "RESTART FILE FROM HRLDAS "//version) ierr = nf90_put_att(ncid, NF90_GLOBAL, "missing_value", -1.E33) @@ -4567,6 +4540,1203 @@ subroutine read_additional(flnm_template, hdate, name, xstart, xend, ystart, yen end subroutine read_additional +!--------------------------------------------------------------------------------------------------------- +! NoahMP Mosaic IO: Restart and Output : Prasanth Valayamkunnath, July 22, 2025 +!--------------------------------------------------------------------------------------------------------- + +#ifdef MPP_LAND + subroutine add_to_restart_2d_float_mpp_mosaic(array, name, ntile, units, description) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + real(kind=kind_noahmp), dimension(global_nx,global_ny,ntile) :: garray + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + + call write_io_real_mosaic(array,garray,ntile) + if(my_id .eq. IO_id) then + call add_to_restart_2d_float_mosaic(garray, name, ntile, units, description) + endif + call mpp_land_sync() + end subroutine add_to_restart_2d_float_mpp_mosaic + + subroutine add_to_restart_2d_integer_mpp_mosaic(array, name, ntile, units, description) + implicit none + integer, intent(in) :: ntile + integer, dimension(:,:,:), intent(in) :: array + integer, dimension(global_nx,global_ny, ntile) :: garray + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + call write_io_int_mosaic(array,garray,ntile) + if(my_id .eq. IO_id) then + call add_to_restart_2d_integer_mosaic(garray, name, ntile, units, description) + endif + call mpp_land_sync() + end subroutine add_to_restart_2d_integer_mpp_mosaic + + subroutine add_to_restart_3d_mpp_mosaic(array, name, ntile, units, description, layers) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: array + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + character(len=4), optional, intent(in) :: layers + integer :: k, klevel + + real(kind=kind_noahmp), allocatable, dimension(:,:,:,:) :: garray + klevel = size(array,2) + allocate(garray(global_nx,klevel,global_ny,ntile)) + + call write_io_real3d_mosaic(array,garray,klevel,ntile) + + if(my_id .eq. IO_id) then + call add_to_restart_3d_mosaic(garray, name, ntile, units, description, layers) + endif + deallocate(garray) + + call mpp_land_sync() + end subroutine add_to_restart_3d_mpp_mosaic +#endif + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine add_to_restart_2d_float_mosaic(array, name, ntile, units, description) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + + character(len=256) :: output_flnm + integer :: ncid + integer :: ierr + integer :: dimid_ix + integer :: dimid_jx + integer :: dimid_nx + integer :: dimid_times + integer :: ixout + integer :: xstartout + integer :: iswater + character(len=256) :: local_units + character(len=256) :: local_description + + integer :: ixpar + integer :: jxpar + integer :: nxpar + + output_flnm = restart_filename_remember + iswater = iswater_remember + + ixpar = size(array,1) + jxpar = size(array,2) + nxpar = size(array,3) + + if (present(units)) then + local_units = units + else + local_units = "-" + endif + + if (present(description)) then + local_description = description + else + local_description = "-" + endif + +#ifdef _PARALLEL_ + ierr = nf90_open_par(trim(output_flnm), NF90_WRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(trim(output_flnm), NF90_WRITE, ncid) +#endif + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_open") + + ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'west_east'") + + ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") + + ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + + ierr = nf90_inq_dimid(ncid, "Time", dimid_times) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'Time'") + + ierr = nf90_redef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_redef") + + call make_var_att_2d_mosaic(ncid, dimid_ix, dimid_jx, dimid_nx, dimid_times, NF90_FLOAT, name, trim(local_description), trim(local_units)) + + ierr = nf90_enddef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_enddef") + + call put_var_2d_mosaic(ncid, 1, vegtyp_remember, iswater, ixpar, jxpar, nxpar, xstartpar_remember, name, array, .true.) + + ierr = nf90_close(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_close") + + end subroutine add_to_restart_2d_float_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine add_to_restart_2d_integer_mosaic(array, name, ntile, units, description) + implicit none + integer, intent(in) :: ntile + integer, dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + + character(len=256) :: output_flnm + integer :: ncid + integer :: ierr + integer :: dimid_ix + integer :: dimid_jx + integer :: dimid_nx + integer :: dimid_times + integer :: ixout + integer :: xstartout + integer :: iswater + character(len=256) :: local_units + character(len=256) :: local_description + + integer :: ixpar + integer :: jxpar + integer :: nxpar + + output_flnm = restart_filename_remember + iswater = iswater_remember + + ixpar = size(array,1) + jxpar = size(array,2) + nxpar = size(array,3) + + if (present(units)) then + local_units = units + else + local_units = "-" + endif + + if (present(description)) then + local_description = description + else + local_description = "-" + endif + +#ifdef _PARALLEL_ + ierr = nf90_open_par(trim(output_flnm), NF90_WRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(trim(output_flnm), NF90_WRITE, ncid) +#endif + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_open") + + ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'west_east'") + + ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") + + ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + + ierr = nf90_inq_dimid(ncid, "Time", dimid_times) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'Time'") + + ierr = nf90_redef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_redef") + + call make_var_att_2d_mosaic(ncid, dimid_ix, dimid_jx, dimid_nx, dimid_times, NF90_INT, name, trim(local_description), trim(local_units)) + + ierr = nf90_enddef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_enddef") + + call put_var_int_mosaic(ncid, 1, vegtyp_remember, iswater, ixpar, jxpar, nxpar, xstartpar_remember, name, array) + + ierr = nf90_close(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_close") + + end subroutine add_to_restart_2d_integer_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine add_to_restart_3d_mosaic(array, name, ntile, units, description, layers) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: array + character(len=*), intent(in) :: name + character(len=*), optional, intent(in) :: units + character(len=*), optional, intent(in) :: description + character(len=4), optional, intent(in) :: layers + + character(len=256) :: output_flnm + integer :: ncid + integer :: ierr + integer :: dimid_ix + integer :: dimid_jx + integer :: dimid_kx + integer :: dimid_nx + integer :: dimid_times + integer :: ixout + integer :: xstartout + integer :: iswater + character(len=256) :: local_units + character(len=256) :: local_description + + integer :: ixpar + integer :: jxpar + integer :: kxpar + integer :: nxpar + character(len=4) :: output_layers + + output_flnm = restart_filename_remember + iswater = iswater_remember + + if (present(layers)) then + output_layers = layers + else + output_layers = "SOIL" + endif + + ixpar = size(array,1) + kxpar = size(array,2) + jxpar = size(array,3) + jxpar = size(array,4) + + if (present(units)) then + local_units = units + else + local_units = "-" + endif + + if (present(description)) then + local_description = description + else + local_description = "-" + endif + +#ifdef _PARALLEL_ + ierr = nf90_open_par(trim(output_flnm), NF90_WRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(trim(output_flnm), NF90_WRITE, ncid) +#endif + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_open") + + ierr = nf90_inq_dimid(ncid, "west_east", dimid_ix) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'west_east'") + + ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") + + ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + + if (output_layers == "SOIL") then + ierr = nf90_inq_dimid(ncid, "soil_layers_stag", dimid_kx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'soil_layers_stag'") + else if (output_layers == "SNOW") then + ierr = nf90_inq_dimid(ncid, "snow_layers", dimid_kx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'snow_layers'") + else if (output_layers == "SOSN") then + ierr = nf90_inq_dimid(ncid, "sosn_layers", dimid_kx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'sosn_layers'") + else if (output_layers == "URBN") then + ierr = nf90_inq_dimid(ncid, "urban_layers", dimid_kx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'urban_layers'") + else if (output_layers == "RADN") then + ierr = nf90_inq_dimid(ncid, "rad_layers", dimid_kx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'rad_layers'") + else + stop "PANIC!" + endif + + ierr = nf90_inq_dimid(ncid, "Time", dimid_times) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'Time'") + + ierr = nf90_redef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_redef") + + call make_var_att_3d_mosaic(ncid, dimid_ix, dimid_jx, dimid_nx, dimid_times, NF90_FLOAT, dimid_kx, name, trim(local_description), trim(local_units)) + + ierr = nf90_enddef(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_enddef") + + call put_var_3d_mosaic(ncid, 1, vegtyp_remember, iswater, ixpar, jxpar, nxpar, xstartpar_remember, kxpar, name, array) + + ierr = nf90_close(ncid) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_close") + + end subroutine add_to_restart_3d_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine put_var_int_mosaic(ncid, output_count, vegtyp, iswater, ix, jx, nx, xstart, varname, vardata) + implicit none + integer, intent(in) :: ncid + integer, intent(in) :: output_count + character(len=*), intent(in) :: varname + integer, intent(in) :: ix + integer, intent(in) :: jx + integer, intent(in) :: nx + integer, intent(in) :: xstart + integer, intent(in) :: iswater + integer, dimension(ix,jx), intent(in) :: vegtyp + integer, dimension(ix,jx,nx), intent(in) :: vardata + + integer :: iret + integer :: varid + + integer, dimension(4) :: nstart + integer, dimension(4) :: ncount + + nstart = (/ xstart , 1 , 1 , output_count /) + ncount = (/ ix , jx , nx , 1 /) + + iret = nf90_inq_varid(ncid, varname, varid) + call error_handler(iret, failure="Subroutine PUT_VAR_INT_MOSAIC: Problem finding variable id for variable: "//varname) + + iret = nf90_put_var(ncid, varid, vardata, nstart, ncount) + call error_handler(iret, failure="Subroutine PUT_VAR_INT_MOSAIC: Problem putting variable '"//varname//"' to NetCDF file.") + + end subroutine put_var_int_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine put_var_2d_mosaic(ncid, output_count, vegtyp, iswater, ix, jx, nx, xstart, varname, vardata, restart_flag) + implicit none + integer, intent(in) :: ncid + integer, intent(in) :: output_count + character(len=*), intent(in) :: varname + integer, intent(in) :: ix + integer, intent(in) :: jx + integer, intent(in) :: nx + integer, intent(in) :: xstart + integer, dimension(ix,jx), intent(in) :: vegtyp + integer, intent(in) :: iswater + real(kind=kind_noahmp), dimension(ix,jx,nx), intent(in) :: vardata + logical, intent(in) :: restart_flag + + real(kind=kind_noahmp), dimension(ix,jx,nx) :: xdum + integer :: iret + integer :: varid + integer :: m + + integer, dimension(4) :: nstart + integer, dimension(4) :: ncount + + do m = 1, nx + where (vegtyp(:,:) == ISWATER .and. .not. restart_flag) + xdum(:,:,m) = -1.E33 + elsewhere + xdum(:,:,m) = vardata(:,:,m) + endwhere + end do + + iret = nf90_inq_varid(ncid, varname, varid) + call error_handler(iret, "Subroutine PUT_VAR_2D_MOSAIC: Problem finding variable id for "//trim(varname)//".") + + nstart = (/ xstart , 1 , 1, output_count /) + ncount = (/ ix , jx , nx, 1 /) + + iret = nf90_put_var(ncid, varid, xdum, start=nstart, count=ncount) + call error_handler(iret, "Subroutine PUT_VAR_2D_MOSAIC: Problem putting variable "//trim(varname)//" to NetCDF file.") + + end subroutine put_var_2d_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine put_var_3d_mosaic(ncid, output_count, vegtyp, iswater, ix, jx, nx, xstart, nsoil, varname, vardata) + implicit none + integer, intent(in) :: ncid + integer, intent(in) :: output_count + character(len=*), intent(in) :: varname + integer, intent(in) :: ix + integer, intent(in) :: jx + integer, intent(in) :: nx + integer, intent(in) :: xstart + integer, intent(in) :: nsoil + integer, intent(in) :: iswater + integer, dimension(ix, jx), intent(in) :: vegtyp + real(kind=kind_noahmp), dimension(ix, nsoil, jx, nx), intent(in) :: vardata + real(kind=kind_noahmp), dimension(ix, nsoil, jx, nx) :: xdum + integer :: iret + integer :: varid + integer :: n + integer :: m + integer, dimension(5) :: nstart + integer, dimension(5) :: ncount + + nstart = (/ xstart , 1 , 1 , 1, output_count /) + ncount = (/ ix , nsoil , jx , nx, 1 /) + + xdum = vardata + do m = 1, nx + do n = 1, nsoil + where (vegtyp(:,:) == ISWATER) xdum(:,n,:,m) = -1.E33 + enddo + end do + + iret = nf90_inq_varid(ncid, varname, varid) + call error_handler(iret, "Subroutine PUT_VAR_3D_MOSAIC: Problem finding variable id for "//trim(varname)//".") + + iret = nf90_put_var(ncid, varid, xdum, start=nstart, count=ncount) + call error_handler(iret, "Subroutine PUT_VAR_3D_MOSAIC: Problem putting variable "//trim(varname)//" to NetCDF file.") + + end subroutine put_var_3d_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine make_var_att_2d_mosaic(ncid, dimid_ix, dimid_jx, dimid_nx, dimid_times, itype, varname, vardesc, varunits) + implicit none + integer, intent(in) :: ncid + character(len=*), intent(in) :: varname + character(len=*), intent(in) :: vardesc + character(len=*), intent(in) :: varunits + integer, intent(in) :: dimid_ix + integer, intent(in) :: dimid_jx + integer, intent(in) :: dimid_nx + integer, intent(in) :: dimid_times + integer, intent(in) :: itype + integer :: iret + integer :: varid + + iret = nf90_def_var(ncid, varname, itype, (/dimid_ix,dimid_jx,dimid_nx,dimid_times/), varid) + call error_handler(iret, "MAKE_VAR_ATT_2D_MOSIAC: Failure defining variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "MemoryOrder", "XYN ") + call error_handler(iret, "MAKE_VAR_ATT_2D_MOSAIC: Failure adding MemoryOrder attribute to variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "description", vardesc) + call error_handler(iret, "MAKE_VAR_ATT_2D_MOSAIC: Failure adding description attribute to variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "units", varunits) + call error_handler(iret, "MAKE_VAR_ATT_2D_MOSAIC: Failure adding units attribute '"//trim(varunits)//"' to variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "stagger", "-") + call error_handler(iret, "MAKE_VAR_ATT_2D_MOSAIC: Failure adding stagger attribute to variable "//trim(varname)) + + end subroutine make_var_att_2d_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine make_var_att_3d_mosaic(ncid, dimid_ix, dimid_jx, dimid_nx, dimid_times, itype, dimid_layers, varname, vardesc, varunits) + implicit none + integer, intent(in) :: ncid + character(len=*), intent(in) :: varname + character(len=*), intent(in) :: vardesc + character(len=*), intent(in) :: varunits + integer, intent(in) :: dimid_ix + integer, intent(in) :: dimid_jx + integer, intent(in) :: dimid_nx + integer, intent(in) :: dimid_times + integer, intent(in) :: dimid_layers + integer, intent(in) :: itype + integer :: iret + integer :: varid + + iret = nf90_def_var(ncid, varname, itype, (/dimid_ix,dimid_layers,dimid_jx,dimid_nx,dimid_times/), varid) + call error_handler(iret, "MAKE_VAR_ATT_3D_MOSAIC: Failure defining variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "MemoryOrder", "XZYN") + call error_handler(iret, "MAKE_VAR_ATT_3D_MOSAIC: Failure adding MemoryOrder attribute for variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "description", vardesc) + call error_handler(iret, "MAKE_VAR_ATT_3D_MOSAIC: Failure adding description attribute to variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "units", varunits) + call error_handler(iret, "MAKE_VAR_ATT_3D_MOSAIC: Failure adding units attribute '"//trim(varunits)//"' to variable "//trim(varname)) + + iret = nf90_put_att(ncid, varid, "stagger", "Z") + call error_handler(iret, "MAKE_VAR_ATT_3D_MOSAIC: Failure adding stagger attribute to variable "//trim(varname)) + + end subroutine make_var_att_3d_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- +#ifdef MPP_LAND + subroutine get_from_restart_2d_float_mpp_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + integer :: n + + real(kind=kind_noahmp), dimension(parallel_xstart:parallel_xend,jxfull,ntile), intent(out) :: array + real(kind=kind_noahmp), dimension(global_nx,global_ny,ntile) :: garray + integer, optional, intent(out):: return_error + + if(my_id .eq. IO_id) then + call get_from_restart_2d_float_mosaic(1, global_nx, 1, global_nx, global_ny, ntile, name, garray, return_error) + endif + do + do n = 1, ntile + call decompose_data_real(garray(:,:,n),array(:,:,n)) + end do + + end subroutine get_from_restart_2d_float_mpp_mosaic + + subroutine get_from_restart_2d_integer_mpp_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + integer, dimension(parallel_xstart:parallel_xend,jxfull,ntile), intent(out) :: array + integer, dimension(global_nx,global_ny,ntile) :: garray + integer, optional, intent(out) :: return_error + integer :: n + if(my_id .eq. IO_id) then + call get_from_restart_2d_integer_mosaic(1, global_nx, 1, global_nx, global_ny, ntile, name, garray, return_error) + endif + do n = 1, ntile + call decompose_data_int(garray(:,:,n),array(:,:,n)) + end do + end subroutine get_from_restart_2d_integer_mpp_mosaic + + subroutine get_from_restart_3d_mpp_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + real(kind=kind_noahmp), dimension(:,:,:,:), intent(out) :: array + integer, optional, intent(out) :: return_error + integer :: klevel,k,n + real(kind=kind_noahmp), allocatable, dimension(:,:,:,:) :: garray + + klevel = size(array,2) + allocate(garray(global_nx,klevel,global_ny,ntile)) + + + if(my_id .eq. IO_id) then + call get_from_restart_3d_mosaic(1, global_nx, 1, global_nx, global_ny, ntile, name, garray, return_error) + endif + do n = 1, ntile + do k = 1, klevel + call decompose_data_real(garray(:,k,:,n),array(:,k,:,n)) + end do + end do + deallocate(garray) + + end subroutine get_from_restart_3d_mpp_mosaic +#endif + + subroutine get_from_restart_2d_float_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + real(kind=kind_noahmp), dimension(parallel_xstart:parallel_xend,jxfull,ntile), intent(out) :: array + integer, optional, intent(out) :: return_error + + integer :: ierr + integer :: ncid + integer :: varid + integer, dimension(4) :: nstart + integer, dimension(4) :: ncount + integer :: rank + +#ifdef _PARALLEL_ + + call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) + if (ierr /= MPI_SUCCESS) stop "MPI_COMM_RANK" + + ierr = nf90_open_par(trim(restart_filename_remember), NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) + +#else + rank = 0 + + ierr = nf90_open(trim(restart_filename_remember), NF90_NOWRITE, ncid) + +#endif + call error_handler(ierr, "GET_FROM_RESTART_MOSAIC: Problem opening restart file '"//trim(restart_filename_remember)//"'") + + nstart = (/ parallel_xstart-subwindow_xstart+1, 1, 1, 1 /) + ncount = (/ parallel_xend-parallel_xstart+1 , jxfull, ntile, 1 /) + + if (present(return_error)) then + ierr = nf90_inq_varid(ncid, name, varid) + if (ierr == NF90_NOERR) then + return_error = 0 + call error_handler(ierr, "Problem finding variable in restart file '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + else + return_error = 1 + if (rank == 0) write(*,'("Did not find optional variable ''",A,"'' in restart file ''", A, "''")') trim(name), trim(restart_filename_remember) + endif + else + ierr = nf90_inq_varid(ncid, name, varid) + call error_handler(ierr, "Problem finding required variable in restart file: '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + endif + + ierr = nf90_close(ncid) + call error_handler(ierr, "Problem closing restart file") + + end subroutine get_from_restart_2d_float_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine get_from_restart_2d_integer_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + integer, dimension(parallel_xstart:parallel_xend,jxfull,ntile), intent(out) :: array + integer, optional, intent(out) :: return_error + + integer :: ierr + integer :: ncid + integer :: varid + integer, dimension(4) :: nstart + integer, dimension(4) :: ncount + +#ifdef _PARALLEL_ + ierr = nf90_open_par(trim(restart_filename_remember), NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(trim(restart_filename_remember), NF90_NOWRITE, ncid) +#endif + call error_handler(ierr, "GET_FROM_RESTART_MOSAIC: Problem opening restart file '"//trim(restart_filename_remember)//"'") + + nstart = (/ parallel_xstart-subwindow_xstart+1, 1, 1, 1 /) + ncount = (/ parallel_xend-parallel_xstart+1 , jxfull, ntile, 1 /) + + if (present(return_error)) then + ierr = nf90_inq_varid(ncid, name, varid) + if (ierr == NF90_NOERR) then + return_error = 0 + call error_handler(ierr, "Problem finding variable in restart file '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + else + return_error = 1 + write(*,'("Did not find optional variable ''",A,"'' in restart file ''", A, "''")') trim(name), trim(restart_filename_remember) + endif + else + ierr = nf90_inq_varid(ncid, name, varid) + call error_handler(ierr, "Problem finding required variable in restart file: '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + endif + + ierr = nf90_close(ncid) + call error_handler(ierr, "Problem closing restart file") + + end subroutine get_from_restart_2d_integer_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine get_from_restart_3d_mosaic(parallel_xstart, parallel_xend, subwindow_xstart, ixfull, jxfull, ntile, name, array, return_error) + implicit none + integer, intent(in) :: parallel_xstart + integer, intent(in) :: parallel_xend + integer, intent(in) :: subwindow_xstart + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ntile + character(len=*), intent(in) :: name + real(kind=kind_noahmp), dimension(:,:,:,:), intent(out) :: array + integer, optional, intent(out) :: return_error + + integer :: ierr + integer :: ncid + integer :: varid + integer, dimension(5) :: nstart + integer, dimension(5) :: ncount + +#ifdef _PARALLEL_ + ierr = nf90_open_par(trim(restart_filename_remember), NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(trim(restart_filename_remember), NF90_NOWRITE, ncid) +#endif + call error_handler(ierr, "GET_FROM_RESTART_MOSAIC: Problem opening restart file '"//trim(restart_filename_remember)//"'") + + nstart = (/parallel_xstart-subwindow_xstart+1, 1, 1, 1, 1/) + ncount = (/parallel_xend-parallel_xstart+1, size(array,2), size(array,3), ntile, 1/) + + if (present(return_error)) then + ierr = nf90_inq_varid(ncid, name, varid) + if (ierr == NF90_NOERR) then + return_error = 0 + call error_handler(ierr, "Problem finding variable in restart file '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + else + return_error = 1 + write(*,'("Did not find optional variable ''",A,"'' in restart file ''", A, "''")') trim(name), trim(restart_filename_remember) + endif + else + ierr = nf90_inq_varid(ncid, name, varid) + call error_handler(ierr, "Problem finding required variable in restart file: '"//trim(name)//"'") + + ierr = nf90_get_var(ncid, varid, array, start=nstart) + call error_handler(ierr, "Problem finding variable in restart file: '"//trim(name)//"'") + endif + + ierr = nf90_close(ncid) + call error_handler(ierr, "Problem closing restart file") + + end subroutine get_from_restart_3d_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- +#ifdef MPP_LAND + subroutine prepare_output_file_mpp_mosaic(outdir, version, igrid, & + output_timestep, llanduse, split_output_count, hgrid, & + ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & + mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & + nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & + vegtyp, soltyp, ntile) + + implicit none + + character(len=*), intent(in) :: outdir + character(len=*), intent(in) :: version + integer, intent(in) :: igrid + integer, intent(in) :: output_timestep + character(len=*), intent(in) :: llanduse + integer, intent(in) :: split_output_count + character, intent(in) :: hgrid + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ixpar + integer, intent(in) :: jxpar + integer, intent(in) :: xstartpar + integer, intent(in) :: ystartpar + integer, intent(in) :: iswater + integer, intent(in) :: mapproj + real(kind=kind_noahmp), intent(in) :: lat1 + real(kind=kind_noahmp), intent(in) :: lon1 + real(kind=kind_noahmp), intent(in) :: dx + real(kind=kind_noahmp), intent(in) :: dy + real(kind=kind_noahmp), intent(in) :: truelat1 + real(kind=kind_noahmp), intent(in) :: truelat2 + real(kind=kind_noahmp), intent(in) :: cen_lon + integer, intent(in) :: nsoil + integer, intent(in) :: nsnow + integer, intent(in) :: nrad + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth + character(len=19), intent(in) :: startdate + character(len=19), intent(in) :: date + integer, intent(in) :: spinup_loop + integer, intent(in) :: spinup_loops + integer, dimension(ixpar,jxpar), intent(in) :: vegtyp + integer, dimension(ixpar,jxpar), intent(in) :: soltyp + integer, dimension(global_nx,global_ny) :: g_vegtyp + integer, dimension(global_nx,global_ny) :: g_soltyp + + + call write_io_int(vegtyp, g_vegtyp) + call write_io_int(soltyp, g_soltyp) + + if(my_id .eq. IO_id) then + call prepare_output_file_seq(outdir, version, igrid, & + output_timestep, llanduse, split_output_count, hgrid, & + global_nx, global_ny, global_nx, global_ny, xstartpar, ystartpar, iswater, & + mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & + nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & + g_vegtyp, g_soltyp, ntile) + end if + + end subroutine prepare_output_file_mpp_mosaic +#endif + + subroutine prepare_output_file_seq_mosaic(outdir, version, igrid, & + output_timestep, llanduse, split_output_count, hgrid, & + ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & + mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & + nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & + vegtyp, soltyp, ntile) + ! To prepare the output file, we create the file, write dimensions and attributes, write the time variable. + ! At the end of this routine, the output file is out of define mode. + implicit none +#include + + character(len=*), intent(in) :: outdir + character(len=*), intent(in) :: version + integer, intent(in) :: igrid + integer, intent(in) :: output_timestep + character(len=*), intent(in) :: llanduse + integer, intent(in) :: split_output_count + character, intent(in) :: hgrid + integer, intent(in) :: ixfull + integer, intent(in) :: jxfull + integer, intent(in) :: ixpar + integer, intent(in) :: jxpar + integer, intent(in) :: xstartpar + integer, intent(in) :: ystartpar + integer, intent(in) :: iswater + integer, intent(in) :: mapproj + real(kind=kind_noahmp), intent(in) :: lat1 + real(kind=kind_noahmp), intent(in) :: lon1 + real(kind=kind_noahmp), intent(in) :: dx + real(kind=kind_noahmp), intent(in) :: dy + real(kind=kind_noahmp), intent(in) :: truelat1 + real(kind=kind_noahmp), intent(in) :: truelat2 + real(kind=kind_noahmp), intent(in) :: cen_lon + integer, intent(in) :: nsoil + integer, intent(in) :: nsnow + integer, intent(in) :: nrad + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth + character(len=19), intent(in) :: startdate + character(len=19), intent(in) :: date + integer, intent(in) :: spinup_loop + integer, intent(in) :: spinup_loops + integer, dimension(ixpar,jxpar), intent(in) :: vegtyp + integer, dimension(ixpar,jxpar), intent(in) :: soltyp + + integer :: ncid + + integer :: dimid_ix, dimid_jx, dimid_nx, dimid_times, dimid_datelen, varid, n + integer :: dimid_dum, dimid_layers, dimid_snow_layers, dimid_numrad_layers + integer :: iret + character(len=256) :: output_flnm + character(len=19) :: date19 + + integer :: ierr + + if (output_count_remember == 0) then + ! If this is a new output file: + ! We have to create a new file, do dimension initializations, and write global attributes to the file. + ! Then we get out of define mode. + if (mod(output_timestep,3600) == 0) then + write(output_flnm, '(A,"/",A10,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13), igrid + elseif (mod(output_timestep,60) == 0) then + write(output_flnm, '(A,"/",A12,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13)//date(15:16), igrid + else + write(output_flnm, '(A,"/",A14,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13)//date(15:16)//date(18:19), igrid + endif + if(spinup_loops > 0) then + write(output_flnm, '(A,".loop",i4.4)') trim(output_flnm), spinup_loop + end if +#ifdef _PARALLEL_ + iret = nf90_create(trim(output_flnm), & + OR(NF90_CLOBBER, NF90_NETCDF4), ncid, comm=MPI_COMM_WORLD, info=MPI_INFO_NULL) +#else +#ifdef WRFIO_NCD_LARGE_FILE_SUPPORT + iret = nf_create(trim(output_flnm), IOR(NF_CLOBBER,NF_64BIT_OFFSET), ncid) +#else + iret = nf90_create(trim(output_flnm), NF90_CLOBBER, ncid) +#endif +#endif + call error_handler(iret, failure="Problem nf90_create for "//trim(output_flnm)) + + ncid_remember = ncid + define_mode_remember = .TRUE. + + iret = nf90_def_dim(ncid, "Time", NF90_UNLIMITED, dimid_times) + iret = nf90_def_dim(ncid, "DateStrLen", 19, dimid_datelen) + ! Dimensions reflect the full size of the subwindow (not the strip known by this particular process). + iret = nf90_def_dim(ncid, "west_east", ixfull, dimid_ix) + iret = nf90_def_dim(ncid, "south_north", jxfull, dimid_jx) + iret = nf90_def_dim(ncid, "west_east_stag", ixfull+1, dimid_dum) + iret = nf90_def_dim(ncid, "south_north_stag", jxfull+1, dimid_dum) + iret = nf90_def_dim(ncid, "soil_layers_stag", nsoil, dimid_layers) + iret = nf90_def_dim(ncid, "snow_layers", nsnow, dimid_snow_layers) + iret = nf90_def_dim(ncid, "rad_num", nrad, dimid_numrad_layers) + iret = nf90_def_dim(ncid, "tile_layers", ntile, dimid_nx) + + iret = nf90_put_att(ncid, NF90_GLOBAL, "TITLE", "OUTPUT FROM HRLDAS "//version) + iret = nf90_put_att(ncid, NF90_GLOBAL, "missing_value", -1.E33) + + ! TODO: Add Grid information (should look more-or-less like wrfout files) + ! TODO: Add Units information (should look more-or-less like wrfout files) + + date19(1:19) = "0000-00-00_00:00:00" + date19(1:len_trim(startdate)) = startdate + + iret = nf90_put_att(ncid, NF90_GLOBAL, "START_DATE", date19) + iret = nf90_put_att(ncid, NF90_GLOBAL, "MAP_PROJ", mapproj) + iret = nf90_put_att(ncid, NF90_GLOBAL, "LAT1", lat1) + iret = nf90_put_att(ncid, NF90_GLOBAL, "LON1", lon1) + iret = nf90_put_att(ncid, NF90_GLOBAL, "DX", dx) + iret = nf90_put_att(ncid, NF90_GLOBAL, "DY", dy) + iret = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT1", truelat1) + iret = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT2", truelat2) + iret = nf90_put_att(ncid, NF90_GLOBAL, "STAND_LON", cen_lon) + iret = nf90_put_att(ncid, NF90_GLOBAL, "MMINLU", llanduse) + +! +! Done with dimensions and global attributes. +! Now define and describe our "Times" variable. +! + + iret = nf90_def_var(ncid, "Times", NF90_CHAR, (/dimid_datelen,dimid_times/), varid) + call error_handler(iret, failure="Problem nf90_def_var for "//trim(output_flnm)) + + iret = nf90_enddef(ncid) + call error_handler(iret, failure="Problem nf90_enddef") + define_mode_remember = .FALSE. + + endif + xstartpar_remember = xstartpar + dimid_ix_remember = dimid_ix + dimid_jx_remember = dimid_jx + dimid_nx_remember = dimid_nx + dimid_times_remember = dimid_times + dimid_layers_remember = dimid_layers + dimid_snow_layers_remember = dimid_snow_layers + dimid_numrad_layers_remember = dimid_numrad_layers + + iswater_remember = iswater + + allocate(vegtyp_remember(ixpar,jxpar)) + vegtyp_remember = vegtyp + +! +! While we're here, put the data for the "Times" variable to the NetCDF file. +! + + date19(1:19) = "0000-00-00_00:00:00" + date19(1:len_trim(date)) = date + iret = nf90_inq_varid(ncid_remember, "Times", varid) + call error_handler(iret, "OUTPUT_HRLDAS: Problem inquiring on 'Times'") + + iret = nf90_put_var(ncid_remember, varid, date, (/1,output_count_remember+1/), (/19,1/)) + call error_handler(iret, "OUTPUT_HRLDAS: Problem writing variable 'Times'") + + end subroutine prepare_output_file_seq_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + +#ifdef MPP_LAND + subroutine add_to_output_2d_float_mpp_mosaic ( array, name, ntile, description, units ) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + real(kind=kind_noahmp), dimension(global_nx,global_ny,ntile) :: garray + character(len=*), intent(in) :: name, description, units + call write_io_real(array,garray) + if(my_id .eq. io_id) then + call add_to_output_2d_float_mosaic( garray, name, ntile, description, units ) + endif + end subroutine add_to_output_2d_float_mpp_mosaic + + subroutine add_to_output_2d_integer_mpp_mosaic ( array, name, ntile, description, units ) + implicit none + integer, intent(in) :: ntile + integer, dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name, description, units + integer, dimension(global_nx,global_ny,ntile) :: garray + call write_io_int_mosaic(array,garray) + if(my_id .eq. io_id) then + call add_to_output_2d_integer_mosaic( garray, name, ntile, description, units ) + endif + end subroutine add_to_output_2d_integer_mpp_mosaic + + subroutine add_to_output_3d_mpp_mosaic ( array, name, ntile, description, units, snow_or_soil ) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name, description, units + character(len=4), intent(in) :: snow_or_soil + integer :: k, klevel + + real(kind=kind_noahmp), allocatable, dimension(:,:,:,:) :: garray + klevel = size(array,2) + + allocate(garray(global_nx,klevel,global_ny,ntile)) + + call write_io_real3d_mosaic(array,garray,klevel,ntile) + if(my_id .eq. io_id) then + call add_to_output_3d_mosaic( garray, name, ntile, description, units, snow_or_soil ) + endif + deallocate(garray) + + end subroutine add_to_output_3d_mpp_mosaic +#endif + + subroutine add_to_output_2d_float_mosaic ( array, name, ntile, description, units ) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name, description, units + integer :: ixpar, jxpar, nxpar + + if (define_mode_remember) then + call make_var_att_2d_mosaic ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_nx_remember, & + dimid_times_remember, NF90_FLOAT , trim(name) , trim(description) , trim(units) ) + else + ixpar = size(array,1) + jxpar = size(array,2) + nxpar = size(array,3) + + call put_var_2d_mosaic (ncid_remember , output_count_remember+1 , vegtyp_remember , iswater_remember , & + ixpar , jxpar , nxpar, xstartpar_remember , trim(name) , array, .false. ) + endif + end subroutine add_to_output_2d_float_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine add_to_output_2d_integer_mosaic ( array, name, ntile, description, units ) + implicit none + integer, intent(in) :: ntile + integer, dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name, description, units + integer :: ixpar, jxpar, nxpar + + if (define_mode_remember) then + call make_var_att_2d_mosaic ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_nx_remember , & + dimid_times_remember , NF90_INT , trim(name) , trim(description) , trim(units) ) + else + ixpar = size(array,1) + jxpar = size(array,2) + nxpar = size(array,3) + + call put_var_int_mosaic (ncid_remember , output_count_remember+1 , vegtyp_remember , iswater_remember , & + ixpar , jxpar , nxpar , xstartpar_remember , trim(name) , array ) + endif + end subroutine add_to_output_2d_integer_mosaic + +!--------------------------------------------------------------------------------------------------------- +!--------------------------------------------------------------------------------------------------------- + + subroutine add_to_output_3d_mosaic ( array, name, ntile, description, units, snow_or_soil ) + implicit none + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + character(len=*), intent(in) :: name, description, units + character(len=4), intent(in) :: snow_or_soil + integer :: ixpar, jxpar, kxpar, nxpar + integer :: zdimid + + if (define_mode_remember) then + if (snow_or_soil == "SOIL") then + zdimid = dimid_layers_remember + elseif (snow_or_soil == "SNOW") then + zdimid = dimid_snow_layers_remember + elseif (snow_or_soil == "RADN") then + zdimid = dimid_numrad_layers_remember + else + write(*,'("SNOW_OR_SOIL unrecognized: ", A)') adjustl(trim(snow_or_soil)) + stop "SNOW_OR_SOIL" + endif + call make_var_att_3d_mosaic ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_nx_remember , & + dimid_times_remember , NF90_FLOAT , zdimid, trim(name) , trim(description) , trim(units) ) + else + + ixpar = size(array,1) + kxpar = size(array,2) + jxpar = size(array,3) + nxpar = size(array,4) + + call put_var_3d_mosaic (ncid_remember , output_count_remember+1 , vegtyp_remember , iswater_remember , & + ixpar , jxpar , nxpar , xstartpar_remember , kxpar, trim(name) , array ) + endif + end subroutine add_to_output_3d_mosaic + +!----------------------------------------------------------------------------------------- +!----------------------------------------------------------------------------------------- + + subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in + xstart, xend, & ! in + ystart, yend, & ! in + NumberLulcCat, & ! in + landusef) ! out + + implicit none + character(len=*), intent(in) :: wrfinput_flnm + integer, intent(in) :: xstart, xend, ystart, yend, NumberLulcCat + real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: landusef + character(len=24) :: name + character(len=256) :: units + integer :: ierr + integer :: ncid + integer :: rank + integer :: iltype + real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend) :: xdum + +#ifdef _PARALLEL_ + call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) + if (ierr /= MPI_SUCCESS) stop "MPI_COMM_RANK" +#else + rank = 0 +#endif + + + ! Open the NetCDF file. + if (rank == 0) write(*,'("wrfinput_flnm: ''", A, "''")') trim(wrfinput_flnm) +#ifdef _PARALLEL_ + ierr = nf90_open_par(wrfinput_flnm, NF90_NOWRITE, MPI_COMM_WORLD, MPI_INFO_NULL, ncid) +#else + ierr = nf90_open(wrfinput_flnm, NF90_NOWRITE, ncid) +#endif + if (ierr /= 0) then + write(*,'("ReadMosaicTileFrac: Problem opening wrfinput file: ''", A, "''")') trim(wrfinput_flnm) +#ifdef _PARALLEL_ + call mpi_finalize(ierr) + if (ierr /= 0) write(*, '("Problem with MPI_finalize.")') +#endif + stop + endif + + ! Get landuse fraction + name = "LANDUSEF" + iret = nf90_inq_varid(ncid, name, varid) + if (iret == 0) then + + ierr = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,NumberLulcCat/)) + + do iltype = 1,NumberLulcCat + landusef(:,iltype,:) = xdum(:,:,iltype) + end do + + else + + write(*,*) "MODULE_HRLDAS_NETCDF_IO: Problem finding variable '"//trim(name)//"' in NetCDF file. Using default values." + + endif + + ! Close the NetCDF file + ierr = nf90_close(ncid) + if (ierr /= 0) stop "MODULE_HRLDAS_NETCDF_IO: ReadMosaicTileFrac: NF90_CLOSE" + + + end subroutine ReadMosaicTileFrac + !--------------------------------------------------------------------------------------------------------- !--------------------------------------------------------------------------------------------------------- diff --git a/hrldas/MPP/mpp_land.F b/hrldas/MPP/mpp_land.F index 2135ae6..4567481 100644 --- a/hrldas/MPP/mpp_land.F +++ b/hrldas/MPP/mpp_land.F @@ -728,6 +728,40 @@ subroutine write_IO_real(in_buff,out_buff) return end subroutine write_IO_real +! NoahMP Mosaic + + subroutine write_IO_real_mosaic(in_buff,out_buff,ntile) + implicit none +! the IO node will receive the data from the rest process. + integer ntile, n + real,dimension(:,:,:):: in_buff, out_buff + do n = 1, ntile + call write_IO_real(in_buff(:,:,n),out_buff(:,:,n)) + end do + end subroutine write_IO_real_mosaic + + subroutine write_IO_real3d_mosaic(in_buff,out_buff,klevel,ntile) + implicit none +! the IO node will receive the data from the rest process. + integer klevel, k, ntile + real,dimension(:,:,:,:) :: in_buff, out_buff + do k = 1, klevel + call write_IO_real_mosaic(in_buff(:,k,:,:),out_buff(:,k,:,:),ntile) + end do + end subroutine write_IO_real3d_mosaic + + subroutine write_io_int_mosaic(in_buff,out_buff,ntile) + implicit none +! the IO node will receive the data from the rest process. + integer ntile, n + integer,dimension(:,:,:):: in_buff, out_buff + do n = 1, ntile + call write_io_int(in_buff(:,:,n),out_buff(:,:,n)) + end do + end subroutine write_io_int_mosaic + +! NoahMP Mosaic end + subroutine write_IO_RT_real(in_buff,out_buff) ! the IO node will receive the data from the rest process. real,dimension(:,:) :: in_buff, out_buff From 463866793f1eae658e52b8106d5add692b448f6a Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Sun, 19 Oct 2025 17:36:16 +0530 Subject: [PATCH 39/45] io and makefile --- hrldas/IO_code/Makefile | 43 +- hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 | 252 ++++++++++ hrldas/IO_code/ReadNoahmpRestartMod.F90 | 234 +++++++++ .../IO_code/WriteNoahmpMosaicRestartMod.F90 | 239 +++++++++ hrldas/IO_code/WriteNoahmpRestartMod.F90 | 243 +++++++++ hrldas/IO_code/module_NoahMP_hrldas_driver.F | 472 +----------------- hrldas/IO_code/module_hrldas_netcdf_io.F | 277 +--------- 7 files changed, 1057 insertions(+), 703 deletions(-) create mode 100644 hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 create mode 100644 hrldas/IO_code/ReadNoahmpRestartMod.F90 create mode 100644 hrldas/IO_code/WriteNoahmpMosaicRestartMod.F90 create mode 100644 hrldas/IO_code/WriteNoahmpRestartMod.F90 diff --git a/hrldas/IO_code/Makefile b/hrldas/IO_code/Makefile index 2f9737c..a5b7273 100644 --- a/hrldas/IO_code/Makefile +++ b/hrldas/IO_code/Makefile @@ -1,7 +1,7 @@ # Makefile # .SUFFIXES: -.SUFFIXES: .o .F +.SUFFIXES: .o .F .F90 include ../user_build_options @@ -9,7 +9,15 @@ OBJS_NoahMP = module_NoahMP_hrldas_driver.o OBJS = \ main_hrldas_driver.o \ - module_hrldas_netcdf_io.o + module_hrldas_netcdf_io.o\ + MosaicAverageMod.o\ + WriteNoahmpMosaicGridAverageOutputMod.o\ + WriteNoahmpMosaicSubgridOutputMod.o\ + WriteNoahmpOutputMod.o\ + WriteNoahmpMosaicRestartMod.o\ + WriteNoahmpRestartMod.o\ + ReadNoahmpMosaicRestartMod.o\ + ReadNoahmpRestartMod.o CPPHRLDAS = -D_HRLDAS_OFFLINE_ $(MOD_OPT) @@ -47,7 +55,12 @@ module_hrldas_netcdf_io.o: module_hrldas_netcdf_io.F $(COMPILERF90) -o $(@) -c $(F90FLAGS) $(FREESOURCE) $(*).f90 @echo "" - +.F90.o: + @echo "" + $(RM) $(*).f90 + $(CPP) $(CPPFLAGS) $(CPPHRLDAS) $(*).F90 > $(*).f90 + $(COMPILERF90) -o $(@) -c $(F90FLAGS) $(FREESOURCE) -I. -I../../noahmp/utility -I../../noahmp/drivers/hrldas $(*).f90 + @echo "" # # Dependencies: @@ -55,6 +68,30 @@ module_hrldas_netcdf_io.o: module_hrldas_netcdf_io.F main_hrldas_driver.o: $(OBJS_NoahMP) $(OBJS_NoahMP): module_hrldas_netcdf_io.o +MosaicAverageMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o +WriteNoahmpMosaicGridAverageOutputMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io\ + MosaicAverageMod.o +WriteNoahmpMosaicSubgridOutputMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io +WriteNoahmpOutputMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io +WriteNoahmpMosaicRestartMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io +WriteNoahmpRestartMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io +ReadNoahmpMosaicRestartMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io +ReadNoahmpRestartMod.o: ../../noahmp/utility/Machine.o\ + ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ + module_hrldas_netcdf_io # This command cleans up object files, etc. clean: diff --git a/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 b/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 new file mode 100644 index 0000000..a689b19 --- /dev/null +++ b/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 @@ -0,0 +1,252 @@ +module ReadNoahmpMosaicRestartMod + +!!! This module part of NoahMP Mosaic/Subgrid Tiling Scheme +!!! Purpose: To write grid average values of Noah-MP Mosaic. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine ReadNoahmpMosaicRestart (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + ! local + integer :: xstart + integer :: xend + integer :: xstart + integer :: ixfull + integer :: jxfull + integer :: ntile + + xstart = NoahmpIO%xstart + xend = NoahmpIO%xend + xstart = NoahmpIO%xstart + ixfull = NoahmpIO%ixfull + jxfull = NoahmpIO%jxfull + ntile = NoahmpIO%NTilesMax + + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SOIL_T" , NoahmpIO%TSLB ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNOW_T" , NoahmpIO%TSNOXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SMC" , NoahmpIO%SMOIS ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SH2O" , NoahmpIO%SH2O ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ZSNSO" , NoahmpIO%ZSNSOXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNICE" , NoahmpIO%SNICEXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNLIQ" , NoahmpIO%SNLIQXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "FWET" , NoahmpIO%FWETXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNEQVO" , NoahmpIO%SNEQVOXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "EAH" , NoahmpIO%EAHXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "TAH" , NoahmpIO%TAHXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ALBOLD" , NoahmpIO%ALBOLDXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "CM" , NoahmpIO%CMXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "CH" , NoahmpIO%CHXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ISNOW" , NoahmpIO%ISNOWXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "CANLIQ" , NoahmpIO%CANLIQXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "CANICE" , NoahmpIO%CANICEXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNEQV" , NoahmpIO%SNOW ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNOWH" , NoahmpIO%SNOWH ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "TV" , NoahmpIO%TVXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "TG" , NoahmpIO%TGXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ZWT" , NoahmpIO%ZWTXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "WA" , NoahmpIO%WAXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "WT" , NoahmpIO%WTXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "WSLAKE" , NoahmpIO%WSLAKEXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "LFMASS" , NoahmpIO%LFMASSXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "RTMASS" , NoahmpIO%RTMASSXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "STMASS" , NoahmpIO%STMASSXY ) + + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CROPCAT" , NoahmpIO%CROPCAT ) + + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "WOOD" , NoahmpIO%WOODXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "GRAIN" , NoahmpIO%GRAINXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "GDD" , NoahmpIO%GDDXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "STBLCP" , NoahmpIO%STBLCPXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "FASTCP" , NoahmpIO%FASTCPXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "LAI" , NoahmpIO%LAI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SAI" , NoahmpIO%XSAIXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "VEGFRA" , NoahmpIO%VEGFRA ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "GVFMIN" , NoahmpIO%GVFMIN ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "GVFMAX" , NoahmpIO%GVFMAX ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACMELT" , NoahmpIO%ACSNOM ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACSNOW" , NoahmpIO%ACSNOW ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "TAUSS" , NoahmpIO%TAUSSXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "QSFC" , NoahmpIO%QSFC ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SFCRUNOFF",NoahmpIO%SFCRUNOFF) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "UDRUNOFF" ,NoahmpIO%UDRUNOFF ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "QTDRAIN" ,NoahmpIO%QTDRAIN ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_SSOIL" , NoahmpIO%ACC_SSOILXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_QINSUR", NoahmpIO%ACC_QINSURXY) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_QSEVA" , NoahmpIO%ACC_QSEVAXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_ETRANI", NoahmpIO%ACC_ETRANIXY) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_DWATER", NoahmpIO%ACC_DWATERXY) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_PRCP" , NoahmpIO%ACC_PRCPXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_ECAN" , NoahmpIO%ACC_ECANXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_ETRAN" , NoahmpIO%ACC_ETRANXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_EDIR" , NoahmpIO%ACC_EDIRXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ACC_GLAFLW", NoahmpIO%ACC_GLAFLWXY) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ALBSOILDIR", NoahmpIO%ALBSOILDIRXY) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "ALBSOILDIF", NoahmpIO%ALBSOILDIFXY) + + ! below for SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNRDS" , NoahmpIO%SNRDSXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SNFR" , NoahmpIO%SNFRXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "BCPHI" , NoahmpIO%BCPHIXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "BCPHO" , NoahmpIO%BCPHOXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "OCPHI" , NoahmpIO%OCPHIXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "OCPHO" , NoahmpIO%OCPHOXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DUST1" , NoahmpIO%DUST1XY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DUST2" , NoahmpIO%DUST2XY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DUST3" , NoahmpIO%DUST3XY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DUST4" , NoahmpIO%DUST4XY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DUST5" , NoahmpIO%DUST5XY ) + endif + + ! below for irrigation scheme + if ( NoahmpIO%IOPT_IRR > 0 ) then + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRNUMSI" , NoahmpIO%IRNUMSI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRNUMMI" , NoahmpIO%IRNUMMI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRNUMFI" , NoahmpIO%IRNUMFI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRWATSI" , NoahmpIO%IRWATSI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRWATMI" , NoahmpIO%IRWATMI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRWATFI" , NoahmpIO%IRWATFI ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRSIVOL" , NoahmpIO%IRSIVOL ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRMIVOL" , NoahmpIO%IRMIVOL ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRFIVOL" , NoahmpIO%IRFIVOL ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRELOSS" , NoahmpIO%IRELOSS ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "IRRSPLH" , NoahmpIO%IRRSPLH ) + endif + + ! below for MMF groundwater scheme + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SMOISEQ" , NoahmpIO%SMOISEQ ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "DEEPRECHXY", NoahmpIO%DEEPRECHXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "SMCWTDXY" , NoahmpIO%SMCWTDXY ) + + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , NoahmpIO%AREAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , NoahmpIO%QRFXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , NoahmpIO%QSPRINGXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , NoahmpIO%QSLATXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , NoahmpIO%QRFSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", NoahmpIO%QSPRINGSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , NoahmpIO%RECHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,NoahmpIO%FDEPTHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",NoahmpIO%RIVERCONDXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,NoahmpIO%RIVERBEDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,NoahmpIO%EQZWT ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,NoahmpIO%PEXPXY ) + endif + + ! for wetland scheme + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "FSATXY" , NoahmpIO%FSATXY ) + call get_from_restart_mosaic(xstart, xend, xstart, ixfull, jxfull, ntile, "WSURFXY" , NoahmpIO%WSURFXY ) + endif + + ! below for urban model + if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , NoahmpIO%SH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , NoahmpIO%LH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , NoahmpIO%G_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , NoahmpIO%RN_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , NoahmpIO%TS_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , NoahmpIO%FRC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , NoahmpIO%UTYPE_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , NoahmpIO%LP_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , NoahmpIO%LB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , NoahmpIO%HGT_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , NoahmpIO%MH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , NoahmpIO%STDH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , NoahmpIO%HI_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , NoahmpIO%LF_URB2D ) + + if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , NoahmpIO%CMR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , NoahmpIO%CHR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , NoahmpIO%CMC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , NoahmpIO%CHC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , NoahmpIO%CMGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , NoahmpIO%CHGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , NoahmpIO%TR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , NoahmpIO%TB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , NoahmpIO%TG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , NoahmpIO%TC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , NoahmpIO%QC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , NoahmpIO%UC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , NoahmpIO%XXXR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , NoahmpIO%XXXB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , NoahmpIO%XXXG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , NoahmpIO%XXXC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , NoahmpIO%TRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , NoahmpIO%TBL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , NoahmpIO%TGL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , NoahmpIO%CMCR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , NoahmpIO%TGR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , NoahmpIO%TGRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , NoahmpIO%SMR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , NoahmpIO%DRELR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , NoahmpIO%DRELB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , NoahmpIO%DRELG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,NoahmpIO%FLXHUMR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,NoahmpIO%FLXHUMB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,NoahmpIO%FLXHUMG_URB2D ) + endif + + if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , NoahmpIO%TRB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , NoahmpIO%TW1_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , NoahmpIO%TW2_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , NoahmpIO%TGB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , NoahmpIO%SFW1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , NoahmpIO%SFW2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , NoahmpIO%SFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , NoahmpIO%SFG_URB3D ) + endif + + if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , NoahmpIO%TLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , NoahmpIO%QLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , NoahmpIO%TW1LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , NoahmpIO%TW2LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , NoahmpIO%TGLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , NoahmpIO%TFLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , NoahmpIO%SF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , NoahmpIO%LF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , NoahmpIO%CM_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , NoahmpIO%SFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , NoahmpIO%LFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , NoahmpIO%SFWIN1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , NoahmpIO%SFWIN2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , NoahmpIO%EP_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , NoahmpIO%T_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , NoahmpIO%TRV_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , NoahmpIO%QR_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , NoahmpIO%QGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , NoahmpIO%TGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , NoahmpIO%DRAIN_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,NoahmpIO%DRAINGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , NoahmpIO%SFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , NoahmpIO%LFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , NoahmpIO%DGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , NoahmpIO%DG_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , NoahmpIO%LFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , NoahmpIO%LFG_URB3D ) + endif + endif + + end subroutine ReadNoahmpMosaicRestart + +end module ReadNoahmpMosaicRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/ReadNoahmpRestartMod.F90 b/hrldas/IO_code/ReadNoahmpRestartMod.F90 new file mode 100644 index 0000000..7db17fa --- /dev/null +++ b/hrldas/IO_code/ReadNoahmpRestartMod.F90 @@ -0,0 +1,234 @@ +module ReadNoahmpRestartMod + +!!! This module part of NoahMP/HRLDAS output writing workflow +!!! Purpose: To write NoahMP grid values to model output file. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine ReadNoahmpRestart (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SOIL_T" , NoahmpIO%TSLB ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOW_T" , NoahmpIO%TSNOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMC" , NoahmpIO%SMOIS ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH2O" , NoahmpIO%SH2O ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZSNSO" , NoahmpIO%ZSNSOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNICE" , NoahmpIO%SNICEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNLIQ" , NoahmpIO%SNLIQXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FWET" , NoahmpIO%FWETXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQVO" , NoahmpIO%SNEQVOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EAH" , NoahmpIO%EAHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAH" , NoahmpIO%TAHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBOLD" , NoahmpIO%ALBOLDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM" , NoahmpIO%CMXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CH" , NoahmpIO%CHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ISNOW" , NoahmpIO%ISNOWXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANLIQ" , NoahmpIO%CANLIQXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANICE" , NoahmpIO%CANICEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQV" , NoahmpIO%SNOW ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOWH" , NoahmpIO%SNOWH ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TV" , NoahmpIO%TVXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG" , NoahmpIO%TGXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZWT" , NoahmpIO%ZWTXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WA" , NoahmpIO%WAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WT" , NoahmpIO%WTXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSLAKE" , NoahmpIO%WSLAKEXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFMASS" , NoahmpIO%LFMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RTMASS" , NoahmpIO%RTMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STMASS" , NoahmpIO%STMASSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CROPCAT" , NoahmpIO%CROPCAT ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WOOD" , NoahmpIO%WOODXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GRAIN" , NoahmpIO%GRAINXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GDD" , NoahmpIO%GDDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STBLCP" , NoahmpIO%STBLCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FASTCP" , NoahmpIO%FASTCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LAI" , NoahmpIO%LAI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SAI" , NoahmpIO%XSAIXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "VEGFRA" , NoahmpIO%VEGFRA ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMIN" , NoahmpIO%GVFMIN ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMAX" , NoahmpIO%GVFMAX ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACMELT" , NoahmpIO%ACSNOM ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACSNOW" , NoahmpIO%ACSNOW ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAUSS" , NoahmpIO%TAUSSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSFC" , NoahmpIO%QSFC ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",NoahmpIO%SFCRUNOFF) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,NoahmpIO%UDRUNOFF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,NoahmpIO%QTDRAIN ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , NoahmpIO%ACC_SSOILXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", NoahmpIO%ACC_QINSURXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , NoahmpIO%ACC_QSEVAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", NoahmpIO%ACC_ETRANIXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", NoahmpIO%ACC_DWATERXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , NoahmpIO%ACC_PRCPXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , NoahmpIO%ACC_ECANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , NoahmpIO%ACC_ETRANXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , NoahmpIO%ACC_EDIRXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_GLAFLW", NoahmpIO%ACC_GLAFLWXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIR", NoahmpIO%ALBSOILDIRXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIF", NoahmpIO%ALBSOILDIFXY) + + ! below for SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNRDS" , NoahmpIO%SNRDSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNFR" , NoahmpIO%SNFRXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHI" , NoahmpIO%BCPHIXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHO" , NoahmpIO%BCPHOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHI" , NoahmpIO%OCPHIXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHO" , NoahmpIO%OCPHOXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST1" , NoahmpIO%DUST1XY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST2" , NoahmpIO%DUST2XY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST3" , NoahmpIO%DUST3XY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST4" , NoahmpIO%DUST4XY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST5" , NoahmpIO%DUST5XY ) + endif + + ! below for irrigation scheme + if ( NoahmpIO%IOPT_IRR > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , NoahmpIO%IRNUMSI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMMI" , NoahmpIO%IRNUMMI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMFI" , NoahmpIO%IRNUMFI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATSI" , NoahmpIO%IRWATSI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATMI" , NoahmpIO%IRWATMI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATFI" , NoahmpIO%IRWATFI ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRSIVOL" , NoahmpIO%IRSIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRMIVOL" , NoahmpIO%IRMIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRFIVOL" , NoahmpIO%IRFIVOL ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRELOSS" , NoahmpIO%IRELOSS ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRRSPLH" , NoahmpIO%IRRSPLH ) + endif + + ! below for MMF groundwater scheme + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMOISEQ" , NoahmpIO%SMOISEQ ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , NoahmpIO%AREAXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMCWTDXY" , NoahmpIO%SMCWTDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , NoahmpIO%QRFXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DEEPRECHXY", NoahmpIO%DEEPRECHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , NoahmpIO%QSPRINGXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , NoahmpIO%QSLATXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , NoahmpIO%QRFSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", NoahmpIO%QSPRINGSXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , NoahmpIO%RECHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,NoahmpIO%FDEPTHXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",NoahmpIO%RIVERCONDXY) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,NoahmpIO%RIVERBEDXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,NoahmpIO%EQZWT ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,NoahmpIO%PEXPXY ) + endif + + ! for wetland scheme + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FSATXY" , NoahmpIO%FSATXY ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSURFXY" , NoahmpIO%WSURFXY ) + endif + + ! below for urban model + if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , NoahmpIO%SH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , NoahmpIO%LH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , NoahmpIO%G_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , NoahmpIO%RN_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , NoahmpIO%TS_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , NoahmpIO%FRC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , NoahmpIO%UTYPE_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , NoahmpIO%LP_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , NoahmpIO%LB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , NoahmpIO%HGT_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , NoahmpIO%MH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , NoahmpIO%STDH_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , NoahmpIO%HI_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , NoahmpIO%LF_URB2D ) + + if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , NoahmpIO%CMR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , NoahmpIO%CHR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , NoahmpIO%CMC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , NoahmpIO%CHC_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , NoahmpIO%CMGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , NoahmpIO%CHGR_SFCDIF ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , NoahmpIO%TR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , NoahmpIO%TB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , NoahmpIO%TG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , NoahmpIO%TC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , NoahmpIO%QC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , NoahmpIO%UC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , NoahmpIO%XXXR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , NoahmpIO%XXXB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , NoahmpIO%XXXG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , NoahmpIO%XXXC_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , NoahmpIO%TRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , NoahmpIO%TBL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , NoahmpIO%TGL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , NoahmpIO%CMCR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , NoahmpIO%TGR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , NoahmpIO%TGRL_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , NoahmpIO%SMR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , NoahmpIO%DRELR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , NoahmpIO%DRELB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , NoahmpIO%DRELG_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,NoahmpIO%FLXHUMR_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,NoahmpIO%FLXHUMB_URB2D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,NoahmpIO%FLXHUMG_URB2D ) + endif + + if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , NoahmpIO%TRB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , NoahmpIO%TW1_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , NoahmpIO%TW2_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , NoahmpIO%TGB_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , NoahmpIO%SFW1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , NoahmpIO%SFW2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , NoahmpIO%SFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , NoahmpIO%SFG_URB3D ) + endif + + if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , NoahmpIO%TLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , NoahmpIO%QLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , NoahmpIO%TW1LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , NoahmpIO%TW2LEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , NoahmpIO%TGLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , NoahmpIO%TFLEV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , NoahmpIO%SF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , NoahmpIO%LF_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , NoahmpIO%CM_AC_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , NoahmpIO%SFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , NoahmpIO%LFVENT_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , NoahmpIO%SFWIN1_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , NoahmpIO%SFWIN2_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , NoahmpIO%EP_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , NoahmpIO%T_PV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , NoahmpIO%TRV_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , NoahmpIO%QR_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , NoahmpIO%QGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , NoahmpIO%TGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , NoahmpIO%DRAIN_URB4D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,NoahmpIO%DRAINGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , NoahmpIO%SFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , NoahmpIO%LFRV_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , NoahmpIO%DGR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , NoahmpIO%DG_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , NoahmpIO%LFR_URB3D ) + call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , NoahmpIO%LFG_URB3D ) + endif + endif + + end subroutine ReadNoahmpRestart + +end module ReadNoahmpRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpMosaicRestartMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicRestartMod.F90 new file mode 100644 index 0000000..b4be3df --- /dev/null +++ b/hrldas/IO_code/WriteNoahmpMosaicRestartMod.F90 @@ -0,0 +1,239 @@ +module WriteNoahmpMosaicRestartMod + +!!! This module part of NoahMP Mosaic/Subgrid Tiling Scheme +!!! Purpose: To write grid average values of Noah-MP Mosaic. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine WriteNoahmpMosaicRestart (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + call add_to_restart_mosaic(NoahmpIO%TSLB , "SOIL_T", NoahmpIO%NTilesMax, layers="SOIL") + call add_to_restart_mosaic(NoahmpIO%TSNOXY , "SNOW_T", NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%SMOIS , "SMC" , NoahmpIO%NTilesMax, layers="SOIL") + call add_to_restart_mosaic(NoahmpIO%SH2O , "SH2O" , NoahmpIO%NTilesMax, layers="SOIL") + call add_to_restart_mosaic(NoahmpIO%ZSNSOXY , "ZSNSO" , NoahmpIO%NTilesMax, layers="SOSN") + call add_to_restart_mosaic(NoahmpIO%SNICEXY , "SNICE" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%SNLIQXY , "SNLIQ" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%FWETXY , "FWET" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%SNEQVOXY , "SNEQVO", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%EAHXY , "EAH" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%TAHXY , "TAH" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ALBOLDXY , "ALBOLD", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%CMXY , "CM" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%CHXY , "CH" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ISNOWXY , "ISNOW" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%CANLIQXY , "CANLIQ", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%CANICEXY , "CANICE", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%SNOW , "SNEQV" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%SNOWH , "SNOWH" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%TVXY , "TV" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%TGXY , "TG" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ZWTXY , "ZWT" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%WAXY , "WA" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%WTXY , "WT" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%WSLAKEXY , "WSLAKE", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%LFMASSXY , "LFMASS", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%RTMASSXY , "RTMASS", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%STMASSXY , "STMASS", NoahmpIO%NTilesMax) + + call add_to_restart(NoahmpIO%CROPCAT , "CROPCAT" ) + + call add_to_restart_mosaic(NoahmpIO%WOODXY , "WOOD" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%GRAINXY , "GRAIN" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%GDDXY , "GDD" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%STBLCPXY , "STBLCP", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%FASTCPXY , "FASTCP", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%LAI , "LAI" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%XSAIXY , "SAI" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%VEGFRA , "VEGFRA", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%GVFMIN , "GVFMIN", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%GVFMAX , "GVFMAX", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACSNOM , "ACMELT", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACSNOW , "ACSNOW", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%TAUSSXY , "TAUSS" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%QSFC , "QSFC" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%SFCRUNOFF , "SFCRUNOFF", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%UDRUNOFF , "UDRUNOFF" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%QTDRAIN , "QTDRAIN" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_SSOILXY ,"ACC_SSOIL" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", NoahmpIO%NTilesMax, layers="SOIL") + call add_to_restart_mosaic(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR", NoahmpIO%NTilesMax, layers="RADN") + call add_to_restart_mosaic(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF", NoahmpIO%NTilesMax, layers="RADN") + + ! SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call add_to_restart_mosaic(NoahmpIO%SNFRXY , "SNFR" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%SNRDSXY , "SNRDS" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%BCPHIXY , "BCPHI" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%BCPHOXY , "BCPHO" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%OCPHIXY , "OCPHI" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%OCPHOXY , "OCPHO" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%DUST1XY , "DUST1" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%DUST2XY , "DUST2" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%DUST3XY , "DUST3" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%DUST4XY , "DUST4" , NoahmpIO%NTilesMax, layers="SNOW") + call add_to_restart_mosaic(NoahmpIO%DUST5XY , "DUST5" , NoahmpIO%NTilesMax, layers="SNOW") + endif + + ! irrigation scheme + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_restart_mosaic(NoahmpIO%IRNUMSI , "IRNUMSI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRNUMMI , "IRNUMMI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRNUMFI , "IRNUMFI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRWATSI , "IRWATSI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRWATMI , "IRWATMI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRWATFI , "IRWATFI", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRSIVOL , "IRSIVOL", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRMIVOL , "IRMIVOL", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRFIVOL , "IRFIVOL", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRELOSS , "IRELOSS", NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%IRRSPLH , "IRRSPLH", NoahmpIO%NTilesMax) + endif + + ! below for MMF groundwater scheme + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_restart_mosaic(NoahmpIO%SMOISEQ , "SMOISEQ" , NoahmpIO%NTilesMax, layers="SOIL" ) + call add_to_restart_mosaic(NoahmpIO%SMCWTDXY , "SMCWTDXY" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%DEEPRECHXY , "DEEPRECHXY" , NoahmpIO%NTilesMax) + + ! following are grid values only from input. So NO mosaic for now + call add_to_restart(NoahmpIO%AREAXY , "AREAXY" ) + call add_to_restart(NoahmpIO%QSLATXY , "QSLATXY" ) + call add_to_restart(NoahmpIO%QRFSXY , "QRFSXY" ) + call add_to_restart(NoahmpIO%QSPRINGSXY , "QSPRINGSXY" ) + call add_to_restart(NoahmpIO%RECHXY , "RECHXY" ) + call add_to_restart(NoahmpIO%QRFXY , "QRFXY" ) + call add_to_restart(NoahmpIO%QSPRINGXY , "QSPRINGXY" ) + call add_to_restart(NoahmpIO%FDEPTHXY , "FDEPTHXY" ) + call add_to_restart(NoahmpIO%RIVERCONDXY , "RIVERCONDXY") + call add_to_restart(NoahmpIO%RIVERBEDXY , "RIVERBEDXY" ) + call add_to_restart(NoahmpIO%EQZWT , "EQZWT" ) + call add_to_restart(NoahmpIO%PEXPXY , "PEXPXY" ) + endif + + ! for wetland scheme + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call add_to_restart_mosaic(NoahmpIO%FSATXY , "FSATXY" , NoahmpIO%NTilesMax) + call add_to_restart_mosaic(NoahmpIO%WSURFXY , "WSURFXY" , NoahmpIO%NTilesMax) + endif + + ! below for urban model + if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then + call add_to_restart( NoahmpIO%SH_URB2D , "SH_URB2D" ) + call add_to_restart( NoahmpIO%LH_URB2D , "LH_URB2D" ) + call add_to_restart( NoahmpIO%G_URB2D , "G_URB2D" ) + call add_to_restart( NoahmpIO%RN_URB2D , "RN_URB2D" ) + call add_to_restart( NoahmpIO%TS_URB2D , "TS_URB2D" ) + call add_to_restart( NoahmpIO%FRC_URB2D , "FRC_URB2D" ) + call add_to_restart( NoahmpIO%UTYPE_URB2D , "UTYPE_URB2D" ) + call add_to_restart( NoahmpIO%LP_URB2D , "LP_URB2D" ) + call add_to_restart( NoahmpIO%LB_URB2D , "LB_URB2D" ) + call add_to_restart( NoahmpIO%HGT_URB2D , "HGT_URB2D" ) + call add_to_restart( NoahmpIO%MH_URB2D , "MH_URB2D" ) + call add_to_restart( NoahmpIO%STDH_URB2D , "STDH_URB2D" ) + call add_to_restart( NoahmpIO%HI_URB2D , "HI_URB2D", layers="URBN") + call add_to_restart( NoahmpIO%LF_URB2D , "LF_URB2D", layers="URBN") + + if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model + call add_to_restart( NoahmpIO%CMR_SFCDIF , "CMR_SFCDIF" ) + call add_to_restart( NoahmpIO%CHR_SFCDIF , "CHR_SFCDIF" ) + call add_to_restart( NoahmpIO%CMC_SFCDIF , "CMC_SFCDIF" ) + call add_to_restart( NoahmpIO%CHC_SFCDIF , "CHC_SFCDIF" ) + call add_to_restart( NoahmpIO%CMGR_SFCDIF , "CMGR_SFCDIF" ) + call add_to_restart( NoahmpIO%CHGR_SFCDIF , "CHGR_SFCDIF" ) + call add_to_restart( NoahmpIO%TR_URB2D , "TR_URB2D" ) + call add_to_restart( NoahmpIO%TB_URB2D , "TB_URB2D" ) + call add_to_restart( NoahmpIO%TG_URB2D , "TG_URB2D" ) + call add_to_restart( NoahmpIO%TC_URB2D , "TC_URB2D" ) + call add_to_restart( NoahmpIO%QC_URB2D , "QC_URB2D" ) + call add_to_restart( NoahmpIO%UC_URB2D , "UC_URB2D" ) + call add_to_restart( NoahmpIO%XXXR_URB2D , "XXXR_URB2D" ) + call add_to_restart( NoahmpIO%XXXB_URB2D , "XXXB_URB2D" ) + call add_to_restart( NoahmpIO%XXXG_URB2D , "XXXG_URB2D" ) + call add_to_restart( NoahmpIO%XXXC_URB2D , "XXXC_URB2D" ) + call add_to_restart( NoahmpIO%TRL_URB3D , "TRL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%TBL_URB3D , "TBL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%TGL_URB3D , "TGL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%CMCR_URB2D , "CMCR_URB2D" ) + call add_to_restart( NoahmpIO%TGR_URB2D , "TGR_URB2D" ) + call add_to_restart( NoahmpIO%TGRL_URB3D , "TGRL_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%SMR_URB3D , "SMR_URB3D", layers="SOIL" ) + call add_to_restart( NoahmpIO%DRELR_URB2D , "DRELR_URB2D" ) + call add_to_restart( NoahmpIO%DRELB_URB2D , "DRELB_URB2D" ) + call add_to_restart( NoahmpIO%DRELG_URB2D , "DRELG_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMR_URB2D , "FLXHUMR_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMB_URB2D , "FLXHUMB_URB2D" ) + call add_to_restart(NoahmpIO%FLXHUMG_URB2D , "FLXHUMG_URB2D" ) + endif + + if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models + call add_to_restart( NoahmpIO%TRB_URB4D , "TRB_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW1_URB4D , "TW1_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW2_URB4D , "TW2_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%TGB_URB4D , "TGB_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFW1_URB3D , "SFW1_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFW2_URB3D , "SFW2_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFR_URB3D , "SFR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFG_URB3D , "SFG_URB3D", layers="URBN" ) + endif + + if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model + call add_to_restart( NoahmpIO%TLEV_URB3D , "TLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%QLEV_URB3D , "QLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW1LEV_URB3D , "TW1LEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TW2LEV_URB3D , "TW2LEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TGLEV_URB3D , "TGLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TFLEV_URB3D , "TFLEV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SF_AC_URB3D , "SF_AC_URB3D" ) + call add_to_restart( NoahmpIO%LF_AC_URB3D , "LF_AC_URB3D" ) + call add_to_restart( NoahmpIO%CM_AC_URB3D , "CM_AC_URB3D" ) + call add_to_restart( NoahmpIO%SFVENT_URB3D , "SFVENT_URB3D" ) + call add_to_restart( NoahmpIO%LFVENT_URB3D , "LFVENT_URB3D" ) + call add_to_restart( NoahmpIO%SFWIN1_URB3D , "SFWIN1_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%SFWIN2_URB3D , "SFWIN2_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%EP_PV_URB3D , "EP_PV_URB3D" ) + call add_to_restart( NoahmpIO%T_PV_URB3D , "T_PV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%TRV_URB4D , "TRV_URB4D" , layers="URBN" ) + call add_to_restart( NoahmpIO%QR_URB4D , "QR_URB4D" , layers="URBN" ) + call add_to_restart( NoahmpIO%QGR_URB3D , "QGR_URB3D" ) + call add_to_restart( NoahmpIO%TGR_URB3D , "TGR_URB3D" ) + call add_to_restart( NoahmpIO%DRAIN_URB4D , "DRAIN_URB4D", layers="URBN" ) + call add_to_restart( NoahmpIO%DRAINGR_URB3D , "DRAINGR_URB3D" ) + call add_to_restart( NoahmpIO%SFRV_URB3D , "SFRV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFRV_URB3D , "LFRV_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%DGR_URB3D , "DGR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%DG_URB3D , "DG_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFR_URB3D , "LFR_URB3D", layers="URBN" ) + call add_to_restart( NoahmpIO%LFG_URB3D , "LFG_URB3D", layers="URBN" ) + endif + endif + + + end subroutine WriteNoahmpMosaicRestart + +end module WriteNoahmpMosaicRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpRestartMod.F90 b/hrldas/IO_code/WriteNoahmpRestartMod.F90 new file mode 100644 index 0000000..5d2f7d9 --- /dev/null +++ b/hrldas/IO_code/WriteNoahmpRestartMod.F90 @@ -0,0 +1,243 @@ +module WriteNoahmpRestartMod + +!!! This module part of NoahMP/HRLDAS output writing workflow +!!! Purpose: To write NoahMP grid values to model output file. + +! ------------------------ Code history ----------------------------------- +! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) +! Date : September 12, 2025 +! ------------------------------------------------------------------------- + + use Machine + use NoahmpIOVarType + use module_hrldas_netcdf_io + + implicit none + +contains + +!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types + + subroutine WriteNoahmpRestart (NoahmpIO) + + implicit none + + type(NoahmpIO_type), intent(inout) :: NoahmpIO + + ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. + + ! Properties - Assigned or predicted + call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + ! Forcing + call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + ! Grid energy budget terms + call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) + ! Grid water budget terms - in addition to above + call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) + call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) + call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) + ! Additional needed to close the canopy energy budget + call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) + ! Additional needed to close the under canopy ground energy budget + call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + ! Needed to close the bare ground energy budget + call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + ! Above-soil temperatures + call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) + call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) + call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) + ! Above-soil moisture + call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) + ! Snow and soil - 3D terms + call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") + call add_to_output(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + ! Snow - 2D terms + call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) + call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) + call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) + ! SNICAR snow albedo scheme + if (NoahmpIO%IOPT_ALB == 3)then + call add_to_output(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + endif + ! Exchange coefficients + call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + ! Carbon allocation model + call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) + call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + ! additional NoahMP output + if (NoahmpIO%noahmp_output > 0) then + ! additional water budget terms + call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + ! additional energy terms + call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) + ! additional forcing terms + call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + call add_to_output(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) + call add_to_output(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + endif + + ! Irrigation + if ( NoahmpIO%IOPT_IRR > 0 ) then + call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + endif + ! MMF groundwater model + if ( NoahmpIO%IOPT_RUNSUB == 5 ) then + call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) + endif + ! Wetland model + if ( NoahmpIO%IOPT_WETLAND > 0 ) then + call add_to_output(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) + call add_to_output(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") + endif + + end subroutine WriteNoahmpRestart + +end module WriteNoahmpRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index aaa2580..f762538 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -398,211 +398,13 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call mpp_land_bcast_char(19,NoahmpIO%OLDDATE(1:19)) #endif - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SOIL_T" , NoahmpIO%TSLB ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOW_T" , NoahmpIO%TSNOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMC" , NoahmpIO%SMOIS ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH2O" , NoahmpIO%SH2O ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZSNSO" , NoahmpIO%ZSNSOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNICE" , NoahmpIO%SNICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNLIQ" , NoahmpIO%SNLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FWET" , NoahmpIO%FWETXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQVO" , NoahmpIO%SNEQVOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EAH" , NoahmpIO%EAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAH" , NoahmpIO%TAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBOLD" , NoahmpIO%ALBOLDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM" , NoahmpIO%CMXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CH" , NoahmpIO%CHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ISNOW" , NoahmpIO%ISNOWXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANLIQ" , NoahmpIO%CANLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANICE" , NoahmpIO%CANICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQV" , NoahmpIO%SNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOWH" , NoahmpIO%SNOWH ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TV" , NoahmpIO%TVXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG" , NoahmpIO%TGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZWT" , NoahmpIO%ZWTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WA" , NoahmpIO%WAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WT" , NoahmpIO%WTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSLAKE" , NoahmpIO%WSLAKEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFMASS" , NoahmpIO%LFMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RTMASS" , NoahmpIO%RTMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STMASS" , NoahmpIO%STMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CROPCAT" , NoahmpIO%CROPCAT ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WOOD" , NoahmpIO%WOODXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GRAIN" , NoahmpIO%GRAINXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GDD" , NoahmpIO%GDDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STBLCP" , NoahmpIO%STBLCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FASTCP" , NoahmpIO%FASTCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LAI" , NoahmpIO%LAI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SAI" , NoahmpIO%XSAIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "VEGFRA" , NoahmpIO%VEGFRA ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMIN" , NoahmpIO%GVFMIN ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMAX" , NoahmpIO%GVFMAX ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACMELT" , NoahmpIO%ACSNOM ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACSNOW" , NoahmpIO%ACSNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAUSS" , NoahmpIO%TAUSSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSFC" , NoahmpIO%QSFC ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",NoahmpIO%SFCRUNOFF) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,NoahmpIO%UDRUNOFF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,NoahmpIO%QTDRAIN ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , NoahmpIO%ACC_SSOILXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", NoahmpIO%ACC_QINSURXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , NoahmpIO%ACC_QSEVAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", NoahmpIO%ACC_ETRANIXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", NoahmpIO%ACC_DWATERXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , NoahmpIO%ACC_PRCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , NoahmpIO%ACC_ECANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , NoahmpIO%ACC_ETRANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , NoahmpIO%ACC_EDIRXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_GLAFLW", NoahmpIO%ACC_GLAFLWXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIR", NoahmpIO%ALBSOILDIRXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIF", NoahmpIO%ALBSOILDIFXY) - - ! below for SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNRDS" , NoahmpIO%SNRDSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNFR" , NoahmpIO%SNFRXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHI" , NoahmpIO%BCPHIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHO" , NoahmpIO%BCPHOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHI" , NoahmpIO%OCPHIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHO" , NoahmpIO%OCPHOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST1" , NoahmpIO%DUST1XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST2" , NoahmpIO%DUST2XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST3" , NoahmpIO%DUST3XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST4" , NoahmpIO%DUST4XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST5" , NoahmpIO%DUST5XY ) - endif - - ! below for irrigation scheme - if ( NoahmpIO%IOPT_IRR > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , NoahmpIO%IRNUMSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMMI" , NoahmpIO%IRNUMMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMFI" , NoahmpIO%IRNUMFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATSI" , NoahmpIO%IRWATSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATMI" , NoahmpIO%IRWATMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATFI" , NoahmpIO%IRWATFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRSIVOL" , NoahmpIO%IRSIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRMIVOL" , NoahmpIO%IRMIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRFIVOL" , NoahmpIO%IRFIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRELOSS" , NoahmpIO%IRELOSS ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRRSPLH" , NoahmpIO%IRRSPLH ) - endif - - ! below for MMF groundwater scheme - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMOISEQ" , NoahmpIO%SMOISEQ ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , NoahmpIO%AREAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMCWTDXY" , NoahmpIO%SMCWTDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , NoahmpIO%QRFXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DEEPRECHXY", NoahmpIO%DEEPRECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , NoahmpIO%QSPRINGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , NoahmpIO%QSLATXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , NoahmpIO%QRFSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", NoahmpIO%QSPRINGSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , NoahmpIO%RECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,NoahmpIO%FDEPTHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",NoahmpIO%RIVERCONDXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,NoahmpIO%RIVERBEDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,NoahmpIO%EQZWT ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,NoahmpIO%PEXPXY ) - endif - - ! for wetland scheme - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FSATXY" , NoahmpIO%FSATXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSURFXY" , NoahmpIO%WSURFXY ) +! Read restart files + if(NoahmpIO%IOPT_MOSAIC > 1) then + call ReadNoahmpMosaicRestart (NoahmpIO) + else + call ReadNoahmpRestart (NoahmpIO) endif - ! below for urban model - if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , NoahmpIO%SH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , NoahmpIO%LH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , NoahmpIO%G_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , NoahmpIO%RN_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , NoahmpIO%TS_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , NoahmpIO%FRC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , NoahmpIO%UTYPE_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , NoahmpIO%LP_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , NoahmpIO%LB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , NoahmpIO%HGT_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , NoahmpIO%MH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , NoahmpIO%STDH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , NoahmpIO%HI_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , NoahmpIO%LF_URB2D ) - - if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , NoahmpIO%CMR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , NoahmpIO%CHR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , NoahmpIO%CMC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , NoahmpIO%CHC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , NoahmpIO%CMGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , NoahmpIO%CHGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , NoahmpIO%TR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , NoahmpIO%TB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , NoahmpIO%TG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , NoahmpIO%TC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , NoahmpIO%QC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , NoahmpIO%UC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , NoahmpIO%XXXR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , NoahmpIO%XXXB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , NoahmpIO%XXXG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , NoahmpIO%XXXC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , NoahmpIO%TRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , NoahmpIO%TBL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , NoahmpIO%TGL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , NoahmpIO%CMCR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , NoahmpIO%TGR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , NoahmpIO%TGRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , NoahmpIO%SMR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , NoahmpIO%DRELR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , NoahmpIO%DRELB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , NoahmpIO%DRELG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,NoahmpIO%FLXHUMR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,NoahmpIO%FLXHUMB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,NoahmpIO%FLXHUMG_URB2D ) - endif - - if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , NoahmpIO%TRB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , NoahmpIO%TW1_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , NoahmpIO%TW2_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , NoahmpIO%TGB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , NoahmpIO%SFW1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , NoahmpIO%SFW2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , NoahmpIO%SFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , NoahmpIO%SFG_URB3D ) - endif - - if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , NoahmpIO%TLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , NoahmpIO%QLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , NoahmpIO%TW1LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , NoahmpIO%TW2LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , NoahmpIO%TGLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , NoahmpIO%TFLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , NoahmpIO%SF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , NoahmpIO%LF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , NoahmpIO%CM_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , NoahmpIO%SFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , NoahmpIO%LFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , NoahmpIO%SFWIN1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , NoahmpIO%SFWIN2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , NoahmpIO%EP_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , NoahmpIO%T_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , NoahmpIO%TRV_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , NoahmpIO%QR_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , NoahmpIO%QGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , NoahmpIO%TGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , NoahmpIO%DRAIN_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,NoahmpIO%DRAINGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , NoahmpIO%SFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , NoahmpIO%LFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , NoahmpIO%DGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , NoahmpIO%DG_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , NoahmpIO%LFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , NoahmpIO%LFG_URB3D ) - endif - endif - NoahmpIO%STEPWTD = nint(NoahmpIO%WTDDT*60.0/NoahmpIO%DTBL) NoahmpIO%STEPWTD = max(NoahmpIO%STEPWTD,1) @@ -1174,47 +976,18 @@ subroutine land_driver_exe(itime) if (mod(ITIME*NoahmpIO%noah_timestep, NoahmpIO%output_timestep) == 0 & .and. .not. NoahmpIO%skip_first_output ) then - if(NoahmpIO%IOPT_MOSAIC > 1) then - if(IOPT_MOSAIC_OUTPUT == 0) then - call prepare_output_file (trim(NoahmpIO%outdir), version, & - NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & - NoahmpIO%split_output_count, NoahmpIO%hgrid, & - NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & - NoahmpIO%xstartpar, NoahmpIO%ystartpar, & - NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & - NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & - NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& - NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & - NoahmpIO%spinup_loop, & - NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) - - else - call prepare_output_file_mosaic (trim(NoahmpIO%outdir), version, & - NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & - NoahmpIO%split_output_count, NoahmpIO%hgrid, & - NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & - NoahmpIO%xstartpar, NoahmpIO%ystartpar, & - NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & - NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & - NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& - NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & - NoahmpIO%spinup_loop, & - NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP, & - NoahmpIO%NTilesMax) - endif - else - call prepare_output_file (trim(NoahmpIO%outdir), version, & - NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & - NoahmpIO%split_output_count, NoahmpIO%hgrid, & - NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & - NoahmpIO%xstartpar, NoahmpIO%ystartpar, & - NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & - NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & - NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& - NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & - NoahmpIO%spinup_loop, & - NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP) - endif + call prepare_output_file (trim(NoahmpIO%outdir), version, & + NoahmpIO%igrid, NoahmpIO%output_timestep, NoahmpIO%llanduse, & + NoahmpIO%split_output_count, NoahmpIO%hgrid, & + NoahmpIO%ixfull, NoahmpIO%jxfull, NoahmpIO%ixpar, NoahmpIO%jxpar, & + NoahmpIO%xstartpar, NoahmpIO%ystartpar, & + NoahmpIO%iswater, NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, & + NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & + NoahmpIO%cen_lon, NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD,& + NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & + NoahmpIO%spinup_loop, & + NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP, & + NoahmpIO$NTilesMax) DEFINE_MODE_LOOP : do imode = 1, 2 @@ -1311,212 +1084,13 @@ subroutine lsm_restart() NoahmpIO%NSOIL, NoahmpIO%nsnow, NoahmpIO%NUMRAD, NoahmpIO%max_urban_dim, & NoahmpIO%dx, NoahmpIO%dy, NoahmpIO%truelat1, NoahmpIO%truelat2, & NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, NoahmpIO%cen_lon, & - NoahmpIO%iswater, NoahmpIO%ivgtyp) + NoahmpIO%iswater, NoahmpIO%ivgtyp, NoahmpIO%NTilesMax) - call add_to_restart(NoahmpIO%TSLB , "SOIL_T", layers="SOIL") - call add_to_restart(NoahmpIO%TSNOXY , "SNOW_T", layers="SNOW") - call add_to_restart(NoahmpIO%SMOIS , "SMC" , layers="SOIL") - call add_to_restart(NoahmpIO%SH2O , "SH2O" , layers="SOIL") - call add_to_restart(NoahmpIO%ZSNSOXY , "ZSNSO" , layers="SOSN") - call add_to_restart(NoahmpIO%SNICEXY , "SNICE" , layers="SNOW") - call add_to_restart(NoahmpIO%SNLIQXY , "SNLIQ" , layers="SNOW") - call add_to_restart(NoahmpIO%FWETXY , "FWET" ) - call add_to_restart(NoahmpIO%SNEQVOXY , "SNEQVO") - call add_to_restart(NoahmpIO%EAHXY , "EAH" ) - call add_to_restart(NoahmpIO%TAHXY , "TAH" ) - call add_to_restart(NoahmpIO%ALBOLDXY , "ALBOLD") - call add_to_restart(NoahmpIO%CMXY , "CM" ) - call add_to_restart(NoahmpIO%CHXY , "CH" ) - call add_to_restart(NoahmpIO%ISNOWXY , "ISNOW" ) - call add_to_restart(NoahmpIO%CANLIQXY , "CANLIQ") - call add_to_restart(NoahmpIO%CANICEXY , "CANICE") - call add_to_restart(NoahmpIO%SNOW , "SNEQV" ) - call add_to_restart(NoahmpIO%SNOWH , "SNOWH" ) - call add_to_restart(NoahmpIO%TVXY , "TV" ) - call add_to_restart(NoahmpIO%TGXY , "TG" ) - call add_to_restart(NoahmpIO%ZWTXY , "ZWT" ) - call add_to_restart(NoahmpIO%WAXY , "WA" ) - call add_to_restart(NoahmpIO%WTXY , "WT" ) - call add_to_restart(NoahmpIO%WSLAKEXY , "WSLAKE") - call add_to_restart(NoahmpIO%LFMASSXY , "LFMASS") - call add_to_restart(NoahmpIO%RTMASSXY , "RTMASS") - call add_to_restart(NoahmpIO%STMASSXY , "STMASS") - call add_to_restart(NoahmpIO%CROPCAT , "CROPCAT") - call add_to_restart(NoahmpIO%WOODXY , "WOOD" ) - call add_to_restart(NoahmpIO%GRAINXY , "GRAIN" ) - call add_to_restart(NoahmpIO%GDDXY , "GDD" ) - call add_to_restart(NoahmpIO%STBLCPXY , "STBLCP") - call add_to_restart(NoahmpIO%FASTCPXY , "FASTCP") - call add_to_restart(NoahmpIO%LAI , "LAI" ) - call add_to_restart(NoahmpIO%XSAIXY , "SAI" ) - call add_to_restart(NoahmpIO%VEGFRA , "VEGFRA") - call add_to_restart(NoahmpIO%GVFMIN , "GVFMIN") - call add_to_restart(NoahmpIO%GVFMAX , "GVFMAX") - call add_to_restart(NoahmpIO%ACSNOM , "ACMELT") - call add_to_restart(NoahmpIO%ACSNOW , "ACSNOW") - call add_to_restart(NoahmpIO%TAUSSXY , "TAUSS" ) - call add_to_restart(NoahmpIO%QSFC , "QSFC" ) - call add_to_restart(NoahmpIO%SFCRUNOFF , "SFCRUNOFF") - call add_to_restart(NoahmpIO%UDRUNOFF , "UDRUNOFF" ) - call add_to_restart(NoahmpIO%QTDRAIN , "QTDRAIN" ) - call add_to_restart(NoahmpIO%ACC_SSOILXY ,"ACC_SSOIL" ) - call add_to_restart(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR") - call add_to_restart(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" ) - call add_to_restart(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", layers="SOIL") - call add_to_restart(NoahmpIO%ACC_DWATERXY,"ACC_DWATER") - call add_to_restart(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" ) - call add_to_restart(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" ) - call add_to_restart(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" ) - call add_to_restart(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" ) - call add_to_restart(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW") - call add_to_restart(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR", layers="RADN") - call add_to_restart(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF", layers="RADN") - - ! SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call add_to_restart(NoahmpIO%SNFRXY , "SNFR" , layers="SNOW") - call add_to_restart(NoahmpIO%SNRDSXY , "SNRDS" , layers="SNOW") - call add_to_restart(NoahmpIO%BCPHIXY , "BCPHI" , layers="SNOW") - call add_to_restart(NoahmpIO%BCPHOXY , "BCPHO" , layers="SNOW") - call add_to_restart(NoahmpIO%OCPHIXY , "OCPHI" , layers="SNOW") - call add_to_restart(NoahmpIO%OCPHOXY , "OCPHO" , layers="SNOW") - call add_to_restart(NoahmpIO%DUST1XY , "DUST1" , layers="SNOW") - call add_to_restart(NoahmpIO%DUST2XY , "DUST2" , layers="SNOW") - call add_to_restart(NoahmpIO%DUST3XY , "DUST3" , layers="SNOW") - call add_to_restart(NoahmpIO%DUST4XY , "DUST4" , layers="SNOW") - call add_to_restart(NoahmpIO%DUST5XY , "DUST5" , layers="SNOW") - endif - - ! irrigation scheme - if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_restart(NoahmpIO%IRNUMSI , "IRNUMSI") - call add_to_restart(NoahmpIO%IRNUMMI , "IRNUMMI") - call add_to_restart(NoahmpIO%IRNUMFI , "IRNUMFI") - call add_to_restart(NoahmpIO%IRWATSI , "IRWATSI") - call add_to_restart(NoahmpIO%IRWATMI , "IRWATMI") - call add_to_restart(NoahmpIO%IRWATFI , "IRWATFI") - call add_to_restart(NoahmpIO%IRSIVOL , "IRSIVOL") - call add_to_restart(NoahmpIO%IRMIVOL , "IRMIVOL") - call add_to_restart(NoahmpIO%IRFIVOL , "IRFIVOL") - call add_to_restart(NoahmpIO%IRELOSS , "IRELOSS") - call add_to_restart(NoahmpIO%IRRSPLH , "IRRSPLH") - endif - - ! below for MMF groundwater scheme - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_restart(NoahmpIO%SMOISEQ , "SMOISEQ" , layers="SOIL" ) - call add_to_restart(NoahmpIO%AREAXY , "AREAXY" ) - call add_to_restart(NoahmpIO%SMCWTDXY , "SMCWTDXY" ) - call add_to_restart(NoahmpIO%DEEPRECHXY , "DEEPRECHXY" ) - call add_to_restart(NoahmpIO%QSLATXY , "QSLATXY" ) - call add_to_restart(NoahmpIO%QRFSXY , "QRFSXY" ) - call add_to_restart(NoahmpIO%QSPRINGSXY , "QSPRINGSXY" ) - call add_to_restart(NoahmpIO%RECHXY , "RECHXY" ) - call add_to_restart(NoahmpIO%QRFXY , "QRFXY" ) - call add_to_restart(NoahmpIO%QSPRINGXY , "QSPRINGXY" ) - call add_to_restart(NoahmpIO%FDEPTHXY , "FDEPTHXY" ) - call add_to_restart(NoahmpIO%RIVERCONDXY , "RIVERCONDXY") - call add_to_restart(NoahmpIO%RIVERBEDXY , "RIVERBEDXY" ) - call add_to_restart(NoahmpIO%EQZWT , "EQZWT" ) - call add_to_restart(NoahmpIO%PEXPXY , "PEXPXY" ) - endif - - ! for wetland scheme - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_restart(NoahmpIO%FSATXY , "FSATXY" ) - call add_to_restart(NoahmpIO%WSURFXY , "WSURFXY" ) - endif - - ! below for urban model - if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then - call add_to_restart( NoahmpIO%SH_URB2D , "SH_URB2D" ) - call add_to_restart( NoahmpIO%LH_URB2D , "LH_URB2D" ) - call add_to_restart( NoahmpIO%G_URB2D , "G_URB2D" ) - call add_to_restart( NoahmpIO%RN_URB2D , "RN_URB2D" ) - call add_to_restart( NoahmpIO%TS_URB2D , "TS_URB2D" ) - call add_to_restart( NoahmpIO%FRC_URB2D , "FRC_URB2D" ) - call add_to_restart( NoahmpIO%UTYPE_URB2D , "UTYPE_URB2D" ) - call add_to_restart( NoahmpIO%LP_URB2D , "LP_URB2D" ) - call add_to_restart( NoahmpIO%LB_URB2D , "LB_URB2D" ) - call add_to_restart( NoahmpIO%HGT_URB2D , "HGT_URB2D" ) - call add_to_restart( NoahmpIO%MH_URB2D , "MH_URB2D" ) - call add_to_restart( NoahmpIO%STDH_URB2D , "STDH_URB2D" ) - call add_to_restart( NoahmpIO%HI_URB2D , "HI_URB2D", layers="URBN") - call add_to_restart( NoahmpIO%LF_URB2D , "LF_URB2D", layers="URBN") - - if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model - call add_to_restart( NoahmpIO%CMR_SFCDIF , "CMR_SFCDIF" ) - call add_to_restart( NoahmpIO%CHR_SFCDIF , "CHR_SFCDIF" ) - call add_to_restart( NoahmpIO%CMC_SFCDIF , "CMC_SFCDIF" ) - call add_to_restart( NoahmpIO%CHC_SFCDIF , "CHC_SFCDIF" ) - call add_to_restart( NoahmpIO%CMGR_SFCDIF , "CMGR_SFCDIF" ) - call add_to_restart( NoahmpIO%CHGR_SFCDIF , "CHGR_SFCDIF" ) - call add_to_restart( NoahmpIO%TR_URB2D , "TR_URB2D" ) - call add_to_restart( NoahmpIO%TB_URB2D , "TB_URB2D" ) - call add_to_restart( NoahmpIO%TG_URB2D , "TG_URB2D" ) - call add_to_restart( NoahmpIO%TC_URB2D , "TC_URB2D" ) - call add_to_restart( NoahmpIO%QC_URB2D , "QC_URB2D" ) - call add_to_restart( NoahmpIO%UC_URB2D , "UC_URB2D" ) - call add_to_restart( NoahmpIO%XXXR_URB2D , "XXXR_URB2D" ) - call add_to_restart( NoahmpIO%XXXB_URB2D , "XXXB_URB2D" ) - call add_to_restart( NoahmpIO%XXXG_URB2D , "XXXG_URB2D" ) - call add_to_restart( NoahmpIO%XXXC_URB2D , "XXXC_URB2D" ) - call add_to_restart( NoahmpIO%TRL_URB3D , "TRL_URB3D", layers="SOIL" ) - call add_to_restart( NoahmpIO%TBL_URB3D , "TBL_URB3D", layers="SOIL" ) - call add_to_restart( NoahmpIO%TGL_URB3D , "TGL_URB3D", layers="SOIL" ) - call add_to_restart( NoahmpIO%CMCR_URB2D , "CMCR_URB2D" ) - call add_to_restart( NoahmpIO%TGR_URB2D , "TGR_URB2D" ) - call add_to_restart( NoahmpIO%TGRL_URB3D , "TGRL_URB3D", layers="SOIL" ) - call add_to_restart( NoahmpIO%SMR_URB3D , "SMR_URB3D", layers="SOIL" ) - call add_to_restart( NoahmpIO%DRELR_URB2D , "DRELR_URB2D" ) - call add_to_restart( NoahmpIO%DRELB_URB2D , "DRELB_URB2D" ) - call add_to_restart( NoahmpIO%DRELG_URB2D , "DRELG_URB2D" ) - call add_to_restart(NoahmpIO%FLXHUMR_URB2D , "FLXHUMR_URB2D" ) - call add_to_restart(NoahmpIO%FLXHUMB_URB2D , "FLXHUMB_URB2D" ) - call add_to_restart(NoahmpIO%FLXHUMG_URB2D , "FLXHUMG_URB2D" ) - endif - - if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models - call add_to_restart( NoahmpIO%TRB_URB4D , "TRB_URB4D", layers="URBN" ) - call add_to_restart( NoahmpIO%TW1_URB4D , "TW1_URB4D", layers="URBN" ) - call add_to_restart( NoahmpIO%TW2_URB4D , "TW2_URB4D", layers="URBN" ) - call add_to_restart( NoahmpIO%TGB_URB4D , "TGB_URB4D", layers="URBN" ) - call add_to_restart( NoahmpIO%SFW1_URB3D , "SFW1_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%SFW2_URB3D , "SFW2_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%SFR_URB3D , "SFR_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%SFG_URB3D , "SFG_URB3D", layers="URBN" ) - endif - - if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model - call add_to_restart( NoahmpIO%TLEV_URB3D , "TLEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%QLEV_URB3D , "QLEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%TW1LEV_URB3D , "TW1LEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%TW2LEV_URB3D , "TW2LEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%TGLEV_URB3D , "TGLEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%TFLEV_URB3D , "TFLEV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%SF_AC_URB3D , "SF_AC_URB3D" ) - call add_to_restart( NoahmpIO%LF_AC_URB3D , "LF_AC_URB3D" ) - call add_to_restart( NoahmpIO%CM_AC_URB3D , "CM_AC_URB3D" ) - call add_to_restart( NoahmpIO%SFVENT_URB3D , "SFVENT_URB3D" ) - call add_to_restart( NoahmpIO%LFVENT_URB3D , "LFVENT_URB3D" ) - call add_to_restart( NoahmpIO%SFWIN1_URB3D , "SFWIN1_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%SFWIN2_URB3D , "SFWIN2_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%EP_PV_URB3D , "EP_PV_URB3D" ) - call add_to_restart( NoahmpIO%T_PV_URB3D , "T_PV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%TRV_URB4D , "TRV_URB4D" , layers="URBN" ) - call add_to_restart( NoahmpIO%QR_URB4D , "QR_URB4D" , layers="URBN" ) - call add_to_restart( NoahmpIO%QGR_URB3D , "QGR_URB3D" ) - call add_to_restart( NoahmpIO%TGR_URB3D , "TGR_URB3D" ) - call add_to_restart( NoahmpIO%DRAIN_URB4D , "DRAIN_URB4D", layers="URBN" ) - call add_to_restart( NoahmpIO%DRAINGR_URB3D , "DRAINGR_URB3D" ) - call add_to_restart( NoahmpIO%SFRV_URB3D , "SFRV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%LFRV_URB3D , "LFRV_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%DGR_URB3D , "DGR_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%DG_URB3D , "DG_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%LFR_URB3D , "LFR_URB3D", layers="URBN" ) - call add_to_restart( NoahmpIO%LFG_URB3D , "LFG_URB3D", layers="URBN" ) - endif - endif + if(NoahmpIO%IOPT_MOSAIC > 1) then + call WriteNoahmpMosaicRestart (NoahmpIO) + else + call WriteNoahmpRestart (NoahmpIO) + endif call finalize_restart_file() diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index db71686..652c01d 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -105,14 +105,6 @@ module module_hrldas_netcdf_io ! NoahMP Mosaic - interface prepare_output_file_mosaic -#ifdef MPP_LAND - module procedure prepare_output_file_mpp_mosaic -#else - module procedure prepare_output_file_seq_mosaic -#endif - end interface - interface add_to_restart_mosaic #ifdef MPP_LAND module procedure add_to_restart_2d_float_mpp_mosaic, add_to_restart_2d_integer_mpp_mosaic, add_to_restart_3d_mpp_mosaic @@ -3031,7 +3023,7 @@ subroutine prepare_output_file_mpp(outdir, version, igrid, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - vegtyp, soltyp) + vegtyp, soltyp, ntile) implicit none @@ -3060,6 +3052,7 @@ subroutine prepare_output_file_mpp(outdir, version, igrid, & integer, intent(in) :: nsoil integer, intent(in) :: nsnow integer, intent(in) :: nrad + integer, intent(in) :: ntile real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth character(len=19), intent(in) :: startdate character(len=19), intent(in) :: date @@ -3080,7 +3073,7 @@ subroutine prepare_output_file_mpp(outdir, version, igrid, & global_nx, global_ny, global_nx, global_ny, xstartpar, ystartpar, iswater, & mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - g_vegtyp, g_soltyp) + g_vegtyp, g_soltyp, ntile) end if end subroutine prepare_output_file_mpp @@ -3091,7 +3084,7 @@ subroutine prepare_output_file_seq(outdir, version, igrid, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - vegtyp, soltyp) + vegtyp, soltyp, ntile) ! To prepare the output file, we create the file, write dimensions and attributes, write the time variable. ! At the end of this routine, the output file is out of define mode. implicit none @@ -3122,6 +3115,7 @@ subroutine prepare_output_file_seq(outdir, version, igrid, & integer, intent(in) :: nsoil integer, intent(in) :: nsnow integer, intent(in) :: nrad + integer, intent(in) :: ntile real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth character(len=19), intent(in) :: startdate character(len=19), intent(in) :: date @@ -3132,7 +3126,7 @@ subroutine prepare_output_file_seq(outdir, version, igrid, & integer :: ncid - integer :: dimid_ix, dimid_jx, dimid_times, dimid_datelen, varid, n + integer :: dimid_ix, dimid_jx, dimid_nx, dimid_times, dimid_datelen, varid, n integer :: dimid_dum, dimid_layers, dimid_snow_layers, dimid_numrad_layers integer :: iret character(len=256) :: output_flnm @@ -3174,6 +3168,7 @@ subroutine prepare_output_file_seq(outdir, version, igrid, & ! Dimensions reflect the full size of the subwindow (not the strip known by this particular process). iret = nf90_def_dim(ncid, "west_east", ixfull, dimid_ix) iret = nf90_def_dim(ncid, "south_north", jxfull, dimid_jx) + iret = nf90_def_dim(ncid, "tile_number", ntile, dimid_nx) iret = nf90_def_dim(ncid, "west_east_stag", ixfull+1, dimid_dum) iret = nf90_def_dim(ncid, "south_north_stag", jxfull+1, dimid_dum) iret = nf90_def_dim(ncid, "soil_layers_stag", nsoil, dimid_layers) @@ -3216,6 +3211,7 @@ subroutine prepare_output_file_seq(outdir, version, igrid, & xstartpar_remember = xstartpar dimid_ix_remember = dimid_ix dimid_jx_remember = dimid_jx + dimid_nx_remember = dimid_nx dimid_times_remember = dimid_times dimid_layers_remember = dimid_layers dimid_snow_layers_remember = dimid_snow_layers @@ -3352,7 +3348,7 @@ subroutine add_to_output_2d_float ( array, name, description, units ) integer :: ixpar, jxpar if (define_mode_remember) then - call make_var_att_2d_mosaic ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_times_remember , & + call make_var_att_2d ( ncid_remember , dimid_ix_remember , dimid_jx_remember , dimid_times_remember , & NF90_FLOAT , trim(name) , trim(description) , trim(units) ) else ixpar = size(array,1) @@ -3613,8 +3609,8 @@ end subroutine finalize_restart_file #ifdef MPP_LAND subroutine prepare_restart_file_mpp(outdir, version, igrid, llanduse, olddate, startdate, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & - iswater, vegtyp) + nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + iswater, vegtyp, ntile) implicit none @@ -3647,8 +3643,8 @@ subroutine prepare_restart_file_mpp(outdir, version, igrid, llanduse, olddate, s if(my_id .eq. io_id) then call prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, startdate, & global_nx, global_ny, global_nx, global_ny, xstartpar, ystartpar, & - nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & - iswater, gvegtyp) + nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + iswater, gvegtyp, ntile) endif call mpp_land_sync() @@ -3658,8 +3654,8 @@ end subroutine prepare_restart_file_mpp subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, startdate, & ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, & - nsoil, nsnow, nrad, ntile, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & - iswater, vegtyp) + nsoil, nsnow, nrad, num_urban_layers, dx, dy, truelat1, truelat2, mapproj, lat1, lon1, cen_lon, & + iswater, vegtyp, ntile) implicit none #include @@ -3693,8 +3689,8 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s character(len=256) :: output_flnm integer :: ierr integer :: varid - integer :: dimid_times, dimid_datelen, dimid_ix, dimid_jx, dimid_dum, dimid_layers, dimid_snow_layers, & - dimid_sosn_layers, dimid_urban,dimid_numrad_layers, dimid_tile_layers + integer :: dimid_times, dimid_datelen, dimid_ix, dimid_jx, dimid_nx, dimid_dum, dimid_layers, dimid_snow_layers, & + dimid_sosn_layers, dimid_urban,dimid_numrad_layers character(len=19) :: date19 integer :: rank @@ -3737,6 +3733,7 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s ierr = nf90_def_dim(ncid, "DateStrLen", 19, dimid_datelen) ierr = nf90_def_dim(ncid, "west_east", ixfull, dimid_ix) ierr = nf90_def_dim(ncid, "south_north", jxfull, dimid_jx) + ierr = nf90_def_dim(ncid, "tile_number", ntile, dimid_nx) ierr = nf90_def_dim(ncid, "west_east_stag", ixfull+1, dimid_dum) ierr = nf90_def_dim(ncid, "south_north_stag", jxfull+1, dimid_dum) ierr = nf90_def_dim(ncid, "soil_layers_stag", nsoil, dimid_layers) @@ -3744,7 +3741,6 @@ subroutine prepare_restart_file_seq(outdir, version, igrid, llanduse, olddate, s ierr = nf90_def_dim(ncid, "sosn_layers", nsnow+nsoil, dimid_sosn_layers) ierr = nf90_def_dim(ncid, "urban_layers", num_urban_layers, dimid_urban) ierr = nf90_def_dim(ncid, "rad_layers", nrad, dimid_numrad_layers) - ierr = nf90_def_dim(ncid, "tile_layers", ntile, dimid_tile_layers) ierr = nf90_put_att(ncid, NF90_GLOBAL, "TITLE", "RESTART FILE FROM HRLDAS "//version) ierr = nf90_put_att(ncid, NF90_GLOBAL, "missing_value", -1.E33) @@ -4590,7 +4586,7 @@ subroutine add_to_restart_3d_mpp_mosaic(array, name, ntile, units, description, klevel = size(array,2) allocate(garray(global_nx,klevel,global_ny,ntile)) - call write_io_real3d_mosaic(array,garray,klevel,ntile) + call write_io_real3d_mosaic(array,garray,klevel,ntile) if(my_id .eq. IO_id) then call add_to_restart_3d_mosaic(garray, name, ntile, units, description, layers) @@ -4661,8 +4657,8 @@ subroutine add_to_restart_2d_float_mosaic(array, name, ntile, units, description ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") - ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) - call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + ierr = nf90_inq_dimid(ncid, "tile_number", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_number'") ierr = nf90_inq_dimid(ncid, "Time", dimid_times) call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'Time'") @@ -4742,8 +4738,8 @@ subroutine add_to_restart_2d_integer_mosaic(array, name, ntile, units, descripti ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") - ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) - call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + ierr = nf90_inq_dimid(ncid, "tile_number", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_number'") ierr = nf90_inq_dimid(ncid, "Time", dimid_times) call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'Time'") @@ -4807,7 +4803,7 @@ subroutine add_to_restart_3d_mosaic(array, name, ntile, units, description, laye ixpar = size(array,1) kxpar = size(array,2) jxpar = size(array,3) - jxpar = size(array,4) + nxpar = size(array,4) if (present(units)) then local_units = units @@ -4834,8 +4830,8 @@ subroutine add_to_restart_3d_mosaic(array, name, ntile, units, description, laye ierr = nf90_inq_dimid(ncid, "south_north", dimid_jx) call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'south_north'") - ierr = nf90_inq_dimid(ncid, "tile_layers", dimid_nx) - call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_layers'") + ierr = nf90_inq_dimid(ncid, "tile_number", dimid_nx) + call error_handler(ierr, "ADD_TO_RESTART_MOSAIC: nf90_inq_dimid for 'tile_number'") if (output_layers == "SOIL") then ierr = nf90_inq_dimid(ncid, "soil_layers_stag", dimid_kx) @@ -5317,227 +5313,6 @@ subroutine get_from_restart_3d_mosaic(parallel_xstart, parallel_xend, subwindow_ end subroutine get_from_restart_3d_mosaic -!--------------------------------------------------------------------------------------------------------- -!--------------------------------------------------------------------------------------------------------- -#ifdef MPP_LAND - subroutine prepare_output_file_mpp_mosaic(outdir, version, igrid, & - output_timestep, llanduse, split_output_count, hgrid, & - ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & - mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & - nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - vegtyp, soltyp, ntile) - - implicit none - - character(len=*), intent(in) :: outdir - character(len=*), intent(in) :: version - integer, intent(in) :: igrid - integer, intent(in) :: output_timestep - character(len=*), intent(in) :: llanduse - integer, intent(in) :: split_output_count - character, intent(in) :: hgrid - integer, intent(in) :: ixfull - integer, intent(in) :: jxfull - integer, intent(in) :: ixpar - integer, intent(in) :: jxpar - integer, intent(in) :: xstartpar - integer, intent(in) :: ystartpar - integer, intent(in) :: iswater - integer, intent(in) :: mapproj - real(kind=kind_noahmp), intent(in) :: lat1 - real(kind=kind_noahmp), intent(in) :: lon1 - real(kind=kind_noahmp), intent(in) :: dx - real(kind=kind_noahmp), intent(in) :: dy - real(kind=kind_noahmp), intent(in) :: truelat1 - real(kind=kind_noahmp), intent(in) :: truelat2 - real(kind=kind_noahmp), intent(in) :: cen_lon - integer, intent(in) :: nsoil - integer, intent(in) :: nsnow - integer, intent(in) :: nrad - integer, intent(in) :: ntile - real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth - character(len=19), intent(in) :: startdate - character(len=19), intent(in) :: date - integer, intent(in) :: spinup_loop - integer, intent(in) :: spinup_loops - integer, dimension(ixpar,jxpar), intent(in) :: vegtyp - integer, dimension(ixpar,jxpar), intent(in) :: soltyp - integer, dimension(global_nx,global_ny) :: g_vegtyp - integer, dimension(global_nx,global_ny) :: g_soltyp - - - call write_io_int(vegtyp, g_vegtyp) - call write_io_int(soltyp, g_soltyp) - - if(my_id .eq. IO_id) then - call prepare_output_file_seq(outdir, version, igrid, & - output_timestep, llanduse, split_output_count, hgrid, & - global_nx, global_ny, global_nx, global_ny, xstartpar, ystartpar, iswater, & - mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & - nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - g_vegtyp, g_soltyp, ntile) - end if - - end subroutine prepare_output_file_mpp_mosaic -#endif - - subroutine prepare_output_file_seq_mosaic(outdir, version, igrid, & - output_timestep, llanduse, split_output_count, hgrid, & - ixfull, jxfull, ixpar, jxpar, xstartpar, ystartpar, iswater, & - mapproj, lat1, lon1, dx, dy, truelat1, truelat2, cen_lon, & - nsoil, nsnow, nrad, sldpth, startdate, date, spinup_loop, spinup_loops, & - vegtyp, soltyp, ntile) - ! To prepare the output file, we create the file, write dimensions and attributes, write the time variable. - ! At the end of this routine, the output file is out of define mode. - implicit none -#include - - character(len=*), intent(in) :: outdir - character(len=*), intent(in) :: version - integer, intent(in) :: igrid - integer, intent(in) :: output_timestep - character(len=*), intent(in) :: llanduse - integer, intent(in) :: split_output_count - character, intent(in) :: hgrid - integer, intent(in) :: ixfull - integer, intent(in) :: jxfull - integer, intent(in) :: ixpar - integer, intent(in) :: jxpar - integer, intent(in) :: xstartpar - integer, intent(in) :: ystartpar - integer, intent(in) :: iswater - integer, intent(in) :: mapproj - real(kind=kind_noahmp), intent(in) :: lat1 - real(kind=kind_noahmp), intent(in) :: lon1 - real(kind=kind_noahmp), intent(in) :: dx - real(kind=kind_noahmp), intent(in) :: dy - real(kind=kind_noahmp), intent(in) :: truelat1 - real(kind=kind_noahmp), intent(in) :: truelat2 - real(kind=kind_noahmp), intent(in) :: cen_lon - integer, intent(in) :: nsoil - integer, intent(in) :: nsnow - integer, intent(in) :: nrad - integer, intent(in) :: ntile - real(kind=kind_noahmp), dimension(nsoil), intent(in) :: sldpth - character(len=19), intent(in) :: startdate - character(len=19), intent(in) :: date - integer, intent(in) :: spinup_loop - integer, intent(in) :: spinup_loops - integer, dimension(ixpar,jxpar), intent(in) :: vegtyp - integer, dimension(ixpar,jxpar), intent(in) :: soltyp - - integer :: ncid - - integer :: dimid_ix, dimid_jx, dimid_nx, dimid_times, dimid_datelen, varid, n - integer :: dimid_dum, dimid_layers, dimid_snow_layers, dimid_numrad_layers - integer :: iret - character(len=256) :: output_flnm - character(len=19) :: date19 - - integer :: ierr - - if (output_count_remember == 0) then - ! If this is a new output file: - ! We have to create a new file, do dimension initializations, and write global attributes to the file. - ! Then we get out of define mode. - if (mod(output_timestep,3600) == 0) then - write(output_flnm, '(A,"/",A10,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13), igrid - elseif (mod(output_timestep,60) == 0) then - write(output_flnm, '(A,"/",A12,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13)//date(15:16), igrid - else - write(output_flnm, '(A,"/",A14,".LDASOUT_DOMAIN",I1)') outdir, date(1:4)//date(6:7)//date(9:10)//date(12:13)//date(15:16)//date(18:19), igrid - endif - if(spinup_loops > 0) then - write(output_flnm, '(A,".loop",i4.4)') trim(output_flnm), spinup_loop - end if -#ifdef _PARALLEL_ - iret = nf90_create(trim(output_flnm), & - OR(NF90_CLOBBER, NF90_NETCDF4), ncid, comm=MPI_COMM_WORLD, info=MPI_INFO_NULL) -#else -#ifdef WRFIO_NCD_LARGE_FILE_SUPPORT - iret = nf_create(trim(output_flnm), IOR(NF_CLOBBER,NF_64BIT_OFFSET), ncid) -#else - iret = nf90_create(trim(output_flnm), NF90_CLOBBER, ncid) -#endif -#endif - call error_handler(iret, failure="Problem nf90_create for "//trim(output_flnm)) - - ncid_remember = ncid - define_mode_remember = .TRUE. - - iret = nf90_def_dim(ncid, "Time", NF90_UNLIMITED, dimid_times) - iret = nf90_def_dim(ncid, "DateStrLen", 19, dimid_datelen) - ! Dimensions reflect the full size of the subwindow (not the strip known by this particular process). - iret = nf90_def_dim(ncid, "west_east", ixfull, dimid_ix) - iret = nf90_def_dim(ncid, "south_north", jxfull, dimid_jx) - iret = nf90_def_dim(ncid, "west_east_stag", ixfull+1, dimid_dum) - iret = nf90_def_dim(ncid, "south_north_stag", jxfull+1, dimid_dum) - iret = nf90_def_dim(ncid, "soil_layers_stag", nsoil, dimid_layers) - iret = nf90_def_dim(ncid, "snow_layers", nsnow, dimid_snow_layers) - iret = nf90_def_dim(ncid, "rad_num", nrad, dimid_numrad_layers) - iret = nf90_def_dim(ncid, "tile_layers", ntile, dimid_nx) - - iret = nf90_put_att(ncid, NF90_GLOBAL, "TITLE", "OUTPUT FROM HRLDAS "//version) - iret = nf90_put_att(ncid, NF90_GLOBAL, "missing_value", -1.E33) - - ! TODO: Add Grid information (should look more-or-less like wrfout files) - ! TODO: Add Units information (should look more-or-less like wrfout files) - - date19(1:19) = "0000-00-00_00:00:00" - date19(1:len_trim(startdate)) = startdate - - iret = nf90_put_att(ncid, NF90_GLOBAL, "START_DATE", date19) - iret = nf90_put_att(ncid, NF90_GLOBAL, "MAP_PROJ", mapproj) - iret = nf90_put_att(ncid, NF90_GLOBAL, "LAT1", lat1) - iret = nf90_put_att(ncid, NF90_GLOBAL, "LON1", lon1) - iret = nf90_put_att(ncid, NF90_GLOBAL, "DX", dx) - iret = nf90_put_att(ncid, NF90_GLOBAL, "DY", dy) - iret = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT1", truelat1) - iret = nf90_put_att(ncid, NF90_GLOBAL, "TRUELAT2", truelat2) - iret = nf90_put_att(ncid, NF90_GLOBAL, "STAND_LON", cen_lon) - iret = nf90_put_att(ncid, NF90_GLOBAL, "MMINLU", llanduse) - -! -! Done with dimensions and global attributes. -! Now define and describe our "Times" variable. -! - - iret = nf90_def_var(ncid, "Times", NF90_CHAR, (/dimid_datelen,dimid_times/), varid) - call error_handler(iret, failure="Problem nf90_def_var for "//trim(output_flnm)) - - iret = nf90_enddef(ncid) - call error_handler(iret, failure="Problem nf90_enddef") - define_mode_remember = .FALSE. - - endif - xstartpar_remember = xstartpar - dimid_ix_remember = dimid_ix - dimid_jx_remember = dimid_jx - dimid_nx_remember = dimid_nx - dimid_times_remember = dimid_times - dimid_layers_remember = dimid_layers - dimid_snow_layers_remember = dimid_snow_layers - dimid_numrad_layers_remember = dimid_numrad_layers - - iswater_remember = iswater - - allocate(vegtyp_remember(ixpar,jxpar)) - vegtyp_remember = vegtyp - -! -! While we're here, put the data for the "Times" variable to the NetCDF file. -! - - date19(1:19) = "0000-00-00_00:00:00" - date19(1:len_trim(date)) = date - iret = nf90_inq_varid(ncid_remember, "Times", varid) - call error_handler(iret, "OUTPUT_HRLDAS: Problem inquiring on 'Times'") - - iret = nf90_put_var(ncid_remember, varid, date, (/1,output_count_remember+1/), (/19,1/)) - call error_handler(iret, "OUTPUT_HRLDAS: Problem writing variable 'Times'") - - end subroutine prepare_output_file_seq_mosaic - !--------------------------------------------------------------------------------------------------------- !--------------------------------------------------------------------------------------------------------- From 1bdeba4248cbb3c6d0cc0aff6e95283985759734 Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Sun, 19 Oct 2025 17:37:33 +0530 Subject: [PATCH 40/45] io and makefile --- hrldas/MPP/mpp_land.F | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hrldas/MPP/mpp_land.F b/hrldas/MPP/mpp_land.F index 4567481..dd57d90 100644 --- a/hrldas/MPP/mpp_land.F +++ b/hrldas/MPP/mpp_land.F @@ -734,7 +734,7 @@ subroutine write_IO_real_mosaic(in_buff,out_buff,ntile) implicit none ! the IO node will receive the data from the rest process. integer ntile, n - real,dimension(:,:,:):: in_buff, out_buff + real,dimension(:,:,:) :: in_buff, out_buff do n = 1, ntile call write_IO_real(in_buff(:,:,n),out_buff(:,:,n)) end do @@ -754,7 +754,7 @@ subroutine write_io_int_mosaic(in_buff,out_buff,ntile) implicit none ! the IO node will receive the data from the rest process. integer ntile, n - integer,dimension(:,:,:):: in_buff, out_buff + integer,dimension(:,:,:) :: in_buff, out_buff do n = 1, ntile call write_io_int(in_buff(:,:,n),out_buff(:,:,n)) end do From ea367703c5d15e06957fa721d0462f6894abc34b Mon Sep 17 00:00:00 2001 From: Prasanth Valayamkunnath Date: Sun, 19 Oct 2025 21:46:20 +0530 Subject: [PATCH 41/45] Update .gitmodules --- .gitmodules | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitmodules b/.gitmodules index ea2d974..ede25be 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,4 +1,4 @@ [submodule "noahmp"] path = noahmp url = https://github.com/prasanthvkrishna/noahmp - branch = master + branch = subgrid From fc967868eefab5a6c875a43e50b4f81516122993 Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Sun, 26 Oct 2025 19:03:01 +0530 Subject: [PATCH 42/45] compiled --- hrldas/IO_code/Makefile | 31 +- hrldas/IO_code/MosaicAverageMod.F90 | 26 +- hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 | 2 - hrldas/IO_code/ReadNoahmpRestartMod.F90 | 234 ------------ .../WriteNoahmpMosaicGridAverageOutputMod.F90 | 26 +- .../WriteNoahmpMosaicSubgridOutputMod.F90 | 358 +++++++++--------- hrldas/IO_code/WriteNoahmpOutputMod.F90 | 243 ------------ hrldas/IO_code/WriteNoahmpRestartMod.F90 | 243 ------------ hrldas/IO_code/module_NoahMP_hrldas_driver.F | 47 ++- hrldas/IO_code/module_hrldas_netcdf_io.F | 34 +- hrldas/run/Makefile | 6 + hrldas/user_build_options | 27 ++ noahmp | 2 +- 13 files changed, 296 insertions(+), 983 deletions(-) delete mode 100644 hrldas/IO_code/ReadNoahmpRestartMod.F90 delete mode 100644 hrldas/IO_code/WriteNoahmpOutputMod.F90 delete mode 100644 hrldas/IO_code/WriteNoahmpRestartMod.F90 create mode 100644 hrldas/user_build_options diff --git a/hrldas/IO_code/Makefile b/hrldas/IO_code/Makefile index a5b7273..5103739 100644 --- a/hrldas/IO_code/Makefile +++ b/hrldas/IO_code/Makefile @@ -13,11 +13,8 @@ OBJS = \ MosaicAverageMod.o\ WriteNoahmpMosaicGridAverageOutputMod.o\ WriteNoahmpMosaicSubgridOutputMod.o\ - WriteNoahmpOutputMod.o\ WriteNoahmpMosaicRestartMod.o\ - WriteNoahmpRestartMod.o\ - ReadNoahmpMosaicRestartMod.o\ - ReadNoahmpRestartMod.o + ReadNoahmpMosaicRestartMod.o CPPHRLDAS = -D_HRLDAS_OFFLINE_ $(MOD_OPT) @@ -67,31 +64,29 @@ module_hrldas_netcdf_io.o: module_hrldas_netcdf_io.F # main_hrldas_driver.o: $(OBJS_NoahMP) -$(OBJS_NoahMP): module_hrldas_netcdf_io.o +$(OBJS_NoahMP): module_hrldas_netcdf_io.o\ + MosaicAverageMod.o\ + WriteNoahmpMosaicGridAverageOutputMod.o\ + WriteNoahmpMosaicSubgridOutputMod.o\ + WriteNoahmpMosaicRestartMod.o\ + ReadNoahmpMosaicRestartMod.o\ + ../../noahmp/drivers/hrldas/NoahmpMosaicSortTileCatMod.o + MosaicAverageMod.o: ../../noahmp/utility/Machine.o\ ../../noahmp/drivers/hrldas/NoahmpIOVarType.o WriteNoahmpMosaicGridAverageOutputMod.o: ../../noahmp/utility/Machine.o\ ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io\ + module_hrldas_netcdf_io.o\ MosaicAverageMod.o WriteNoahmpMosaicSubgridOutputMod.o: ../../noahmp/utility/Machine.o\ ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io -WriteNoahmpOutputMod.o: ../../noahmp/utility/Machine.o\ - ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io + module_hrldas_netcdf_io.o WriteNoahmpMosaicRestartMod.o: ../../noahmp/utility/Machine.o\ ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io -WriteNoahmpRestartMod.o: ../../noahmp/utility/Machine.o\ - ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io + module_hrldas_netcdf_io.o ReadNoahmpMosaicRestartMod.o: ../../noahmp/utility/Machine.o\ ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io -ReadNoahmpRestartMod.o: ../../noahmp/utility/Machine.o\ - ../../noahmp/drivers/hrldas/NoahmpIOVarType.o\ - module_hrldas_netcdf_io + module_hrldas_netcdf_io.o # This command cleans up object files, etc. clean: diff --git a/hrldas/IO_code/MosaicAverageMod.F90 b/hrldas/IO_code/MosaicAverageMod.F90 index a6595f3..55fe1bc 100644 --- a/hrldas/IO_code/MosaicAverageMod.F90 +++ b/hrldas/IO_code/MosaicAverageMod.F90 @@ -13,7 +13,7 @@ module MosaicAverageMod implicit none - type(NoahmpIO_type) :: NoahmpIO + type(NoahmpIO_type) :: NMPIO ! renamed NoahmpIO ! Interface block for MosaicAverage interface MosaicAverage @@ -37,9 +37,9 @@ function MosaicAverage_2d(InVariable) result(OutAverage) nxpar = size(InVariable, 3) ! Check dimensions of SubGrdFracRescaled - if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" end if @@ -47,7 +47,7 @@ function MosaicAverage_2d(InVariable) result(OutAverage) allocate(OutAverage(ixpar, jxpar)) ! Calculate weighted average - OutAverage = sum(InVariable * NoahmpIO%SubGrdFracRescaled, dim=3) + OutAverage = sum(InVariable * NMPIO%SubGrdFracRescaled, dim=3) end function MosaicAverage_2d @@ -64,9 +64,9 @@ function MosaicAverage_3d(InVariable) result(OutAverage) nxpar = size(InVariable, 4) ! Check dimensions of SubGrdFracRescaled - if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_3d" end if @@ -76,7 +76,7 @@ function MosaicAverage_3d(InVariable) result(OutAverage) ! Populate SubGrdFrac do k = 1, kxpar - SubGrdFrac(:, k, :, :) = NoahmpIO%SubGrdFracRescaled + SubGrdFrac(:, k, :, :) = NMPIO%SubGrdFracRescaled end do ! Calculate weighted average @@ -98,9 +98,9 @@ function MosaicAverage_2d_int (InVariable) result(OutAverage) nxpar = size(InVariable, 3) ! Check dimensions of SubGrdFracRescaled - if (size(NoahmpIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NoahmpIO%SubGrdFracRescaled, 3) /= nxpar) then + if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" end if @@ -108,7 +108,7 @@ function MosaicAverage_2d_int (InVariable) result(OutAverage) allocate(OutAverage(ixpar, jxpar)) ! Calculate weighted average - OutAverage = nint(sum(InVariable * NoahmpIO%SubGrdFracRescaled, dim=3)) + OutAverage = nint(sum(InVariable * NMPIO%SubGrdFracRescaled, dim=3)) end function MosaicAverage_2d_int diff --git a/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 b/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 index a689b19..59ddda2 100644 --- a/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 +++ b/hrldas/IO_code/ReadNoahmpMosaicRestartMod.F90 @@ -27,14 +27,12 @@ subroutine ReadNoahmpMosaicRestart (NoahmpIO) ! local integer :: xstart integer :: xend - integer :: xstart integer :: ixfull integer :: jxfull integer :: ntile xstart = NoahmpIO%xstart xend = NoahmpIO%xend - xstart = NoahmpIO%xstart ixfull = NoahmpIO%ixfull jxfull = NoahmpIO%jxfull ntile = NoahmpIO%NTilesMax diff --git a/hrldas/IO_code/ReadNoahmpRestartMod.F90 b/hrldas/IO_code/ReadNoahmpRestartMod.F90 deleted file mode 100644 index 7db17fa..0000000 --- a/hrldas/IO_code/ReadNoahmpRestartMod.F90 +++ /dev/null @@ -1,234 +0,0 @@ -module ReadNoahmpRestartMod - -!!! This module part of NoahMP/HRLDAS output writing workflow -!!! Purpose: To write NoahMP grid values to model output file. - -! ------------------------ Code history ----------------------------------- -! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) -! Date : September 12, 2025 -! ------------------------------------------------------------------------- - - use Machine - use NoahmpIOVarType - use module_hrldas_netcdf_io - - implicit none - -contains - -!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types - - subroutine ReadNoahmpRestart (NoahmpIO) - - implicit none - - type(NoahmpIO_type), intent(inout) :: NoahmpIO - - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SOIL_T" , NoahmpIO%TSLB ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOW_T" , NoahmpIO%TSNOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMC" , NoahmpIO%SMOIS ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH2O" , NoahmpIO%SH2O ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZSNSO" , NoahmpIO%ZSNSOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNICE" , NoahmpIO%SNICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNLIQ" , NoahmpIO%SNLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FWET" , NoahmpIO%FWETXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQVO" , NoahmpIO%SNEQVOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EAH" , NoahmpIO%EAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAH" , NoahmpIO%TAHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBOLD" , NoahmpIO%ALBOLDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM" , NoahmpIO%CMXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CH" , NoahmpIO%CHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ISNOW" , NoahmpIO%ISNOWXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANLIQ" , NoahmpIO%CANLIQXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CANICE" , NoahmpIO%CANICEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNEQV" , NoahmpIO%SNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNOWH" , NoahmpIO%SNOWH ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TV" , NoahmpIO%TVXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG" , NoahmpIO%TGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ZWT" , NoahmpIO%ZWTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WA" , NoahmpIO%WAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WT" , NoahmpIO%WTXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSLAKE" , NoahmpIO%WSLAKEXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFMASS" , NoahmpIO%LFMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RTMASS" , NoahmpIO%RTMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STMASS" , NoahmpIO%STMASSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CROPCAT" , NoahmpIO%CROPCAT ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WOOD" , NoahmpIO%WOODXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GRAIN" , NoahmpIO%GRAINXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GDD" , NoahmpIO%GDDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STBLCP" , NoahmpIO%STBLCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FASTCP" , NoahmpIO%FASTCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LAI" , NoahmpIO%LAI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SAI" , NoahmpIO%XSAIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "VEGFRA" , NoahmpIO%VEGFRA ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMIN" , NoahmpIO%GVFMIN ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "GVFMAX" , NoahmpIO%GVFMAX ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACMELT" , NoahmpIO%ACSNOM ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACSNOW" , NoahmpIO%ACSNOW ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TAUSS" , NoahmpIO%TAUSSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSFC" , NoahmpIO%QSFC ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFCRUNOFF",NoahmpIO%SFCRUNOFF) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UDRUNOFF" ,NoahmpIO%UDRUNOFF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QTDRAIN" ,NoahmpIO%QTDRAIN ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_SSOIL" , NoahmpIO%ACC_SSOILXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QINSUR", NoahmpIO%ACC_QINSURXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_QSEVA" , NoahmpIO%ACC_QSEVAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRANI", NoahmpIO%ACC_ETRANIXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_DWATER", NoahmpIO%ACC_DWATERXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_PRCP" , NoahmpIO%ACC_PRCPXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ECAN" , NoahmpIO%ACC_ECANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_ETRAN" , NoahmpIO%ACC_ETRANXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_EDIR" , NoahmpIO%ACC_EDIRXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ACC_GLAFLW", NoahmpIO%ACC_GLAFLWXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIR", NoahmpIO%ALBSOILDIRXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "ALBSOILDIF", NoahmpIO%ALBSOILDIFXY) - - ! below for SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNRDS" , NoahmpIO%SNRDSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SNFR" , NoahmpIO%SNFRXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHI" , NoahmpIO%BCPHIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "BCPHO" , NoahmpIO%BCPHOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHI" , NoahmpIO%OCPHIXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "OCPHO" , NoahmpIO%OCPHOXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST1" , NoahmpIO%DUST1XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST2" , NoahmpIO%DUST2XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST3" , NoahmpIO%DUST3XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST4" , NoahmpIO%DUST4XY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DUST5" , NoahmpIO%DUST5XY ) - endif - - ! below for irrigation scheme - if ( NoahmpIO%IOPT_IRR > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMSI" , NoahmpIO%IRNUMSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMMI" , NoahmpIO%IRNUMMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRNUMFI" , NoahmpIO%IRNUMFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATSI" , NoahmpIO%IRWATSI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATMI" , NoahmpIO%IRWATMI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRWATFI" , NoahmpIO%IRWATFI ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRSIVOL" , NoahmpIO%IRSIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRMIVOL" , NoahmpIO%IRMIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRFIVOL" , NoahmpIO%IRFIVOL ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRELOSS" , NoahmpIO%IRELOSS ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "IRRSPLH" , NoahmpIO%IRRSPLH ) - endif - - ! below for MMF groundwater scheme - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMOISEQ" , NoahmpIO%SMOISEQ ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "AREAXY" , NoahmpIO%AREAXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMCWTDXY" , NoahmpIO%SMCWTDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFXY" , NoahmpIO%QRFXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DEEPRECHXY", NoahmpIO%DEEPRECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGXY" , NoahmpIO%QSPRINGXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSLATXY" , NoahmpIO%QSLATXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QRFSXY" , NoahmpIO%QRFSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QSPRINGSXY", NoahmpIO%QSPRINGSXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RECHXY" , NoahmpIO%RECHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FDEPTHXY" ,NoahmpIO%FDEPTHXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERCONDXY",NoahmpIO%RIVERCONDXY) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RIVERBEDXY" ,NoahmpIO%RIVERBEDXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EQZWT" ,NoahmpIO%EQZWT ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "PEXPXY" ,NoahmpIO%PEXPXY ) - endif - - ! for wetland scheme - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FSATXY" , NoahmpIO%FSATXY ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "WSURFXY" , NoahmpIO%WSURFXY ) - endif - - ! below for urban model - if ( NoahmpIO%SF_URBAN_PHYSICS > 0 ) then - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SH_URB2D" , NoahmpIO%SH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LH_URB2D" , NoahmpIO%LH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "G_URB2D" , NoahmpIO%G_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "RN_URB2D" , NoahmpIO%RN_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TS_URB2D" , NoahmpIO%TS_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FRC_URB2D" , NoahmpIO%FRC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UTYPE_URB2D" , NoahmpIO%UTYPE_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LP_URB2D" , NoahmpIO%LP_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LB_URB2D" , NoahmpIO%LB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HGT_URB2D" , NoahmpIO%HGT_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "MH_URB2D" , NoahmpIO%MH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "STDH_URB2D" , NoahmpIO%STDH_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "HI_URB2D" , NoahmpIO%HI_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_URB2D" , NoahmpIO%LF_URB2D ) - - if ( NoahmpIO%SF_URBAN_PHYSICS == 1 ) then ! single layer urban model - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMR_SFCDIF" , NoahmpIO%CMR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHR_SFCDIF" , NoahmpIO%CHR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMC_SFCDIF" , NoahmpIO%CMC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHC_SFCDIF" , NoahmpIO%CHC_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMGR_SFCDIF" , NoahmpIO%CMGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CHGR_SFCDIF" , NoahmpIO%CHGR_SFCDIF ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TR_URB2D" , NoahmpIO%TR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TB_URB2D" , NoahmpIO%TB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TG_URB2D" , NoahmpIO%TG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TC_URB2D" , NoahmpIO%TC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QC_URB2D" , NoahmpIO%QC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "UC_URB2D" , NoahmpIO%UC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXR_URB2D" , NoahmpIO%XXXR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXB_URB2D" , NoahmpIO%XXXB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXG_URB2D" , NoahmpIO%XXXG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "XXXC_URB2D" , NoahmpIO%XXXC_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRL_URB3D" , NoahmpIO%TRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TBL_URB3D" , NoahmpIO%TBL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGL_URB3D" , NoahmpIO%TGL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CMCR_URB2D" , NoahmpIO%CMCR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB2D" , NoahmpIO%TGR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGRL_URB3D" , NoahmpIO%TGRL_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SMR_URB3D" , NoahmpIO%SMR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELR_URB2D" , NoahmpIO%DRELR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELB_URB2D" , NoahmpIO%DRELB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRELG_URB2D" , NoahmpIO%DRELG_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMR_URB2D" ,NoahmpIO%FLXHUMR_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMB_URB2D" ,NoahmpIO%FLXHUMB_URB2D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "FLXHUMG_URB2D" ,NoahmpIO%FLXHUMG_URB2D ) - endif - - if ( (NoahmpIO%SF_URBAN_PHYSICS == 2) .or. (NoahmpIO%SF_URBAN_PHYSICS == 3) ) then ! BEP or BEM urban models - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRB_URB4D" , NoahmpIO%TRB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1_URB4D" , NoahmpIO%TW1_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2_URB4D" , NoahmpIO%TW2_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGB_URB4D" , NoahmpIO%TGB_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW1_URB3D" , NoahmpIO%SFW1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFW2_URB3D" , NoahmpIO%SFW2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFR_URB3D" , NoahmpIO%SFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFG_URB3D" , NoahmpIO%SFG_URB3D ) - endif - - if ( NoahmpIO%SF_URBAN_PHYSICS == 3 ) then ! BEM urban model - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TLEV_URB3D" , NoahmpIO%TLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QLEV_URB3D" , NoahmpIO%QLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW1LEV_URB3D" , NoahmpIO%TW1LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TW2LEV_URB3D" , NoahmpIO%TW2LEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGLEV_URB3D" , NoahmpIO%TGLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TFLEV_URB3D" , NoahmpIO%TFLEV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SF_AC_URB3D" , NoahmpIO%SF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LF_AC_URB3D" , NoahmpIO%LF_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "CM_AC_URB3D" , NoahmpIO%CM_AC_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFVENT_URB3D" , NoahmpIO%SFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFVENT_URB3D" , NoahmpIO%LFVENT_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN1_URB3D" , NoahmpIO%SFWIN1_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFWIN2_URB3D" , NoahmpIO%SFWIN2_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "EP_PV_URB3D" , NoahmpIO%EP_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "T_PV_URB3D" , NoahmpIO%T_PV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TRV_URB4D" , NoahmpIO%TRV_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QR_URB4D" , NoahmpIO%QR_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "QGR_URB3D" , NoahmpIO%QGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "TGR_URB3D" , NoahmpIO%TGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAIN_URB4D" , NoahmpIO%DRAIN_URB4D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DRAINGR_URB3D" ,NoahmpIO%DRAINGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "SFRV_URB3D" , NoahmpIO%SFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFRV_URB3D" , NoahmpIO%LFRV_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DGR_URB3D" , NoahmpIO%DGR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "DG_URB3D" , NoahmpIO%DG_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFR_URB3D" , NoahmpIO%LFR_URB3D ) - call get_from_restart(xstart, xend, xstart, ixfull, jxfull, "LFG_URB3D" , NoahmpIO%LFG_URB3D ) - endif - endif - - end subroutine ReadNoahmpRestart - -end module ReadNoahmpRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 index 26a9423..4b260f4 100644 --- a/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 +++ b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 @@ -31,14 +31,14 @@ subroutine WriteNoahmpMosaicGridAverageOutput (NoahmpIO) ! Properties - Assigned or predicted call add_to_output( NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) call add_to_output( NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output( NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output( NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output( NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FVEGXY) , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%LAI) , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%XSAIXY) , "SAI" , "Stem area index" , "m2/m2" ) ! Forcing - call add_to_output( MosaicAverage(NoahmpIO%SWDOWN) , "SWFORC" , "Shortwave forcing" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%COSZEN) , "COSZ" , "Cosine of zenith angle" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%GLW) , "LWFORC" , "Longwave forcing" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%RAINBL) , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + call add_to_output( NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output( NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output( NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output( NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) ! Grid energy budget terms call add_to_output( MosaicAverage(NoahmpIO%EMISS) , "EMISS" , "Grid emissivity" , "-" ) call add_to_output( MosaicAverage(NoahmpIO%FSAXY) , "FSA" , "Total absorbed SW radiation" , "W/m2" ) @@ -227,12 +227,12 @@ subroutine WriteNoahmpMosaicGridAverageOutput (NoahmpIO) call add_to_output( MosaicAverage(NoahmpIO%SMCWTDXY) , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) call add_to_output( MosaicAverage(NoahmpIO%RECHXY) , "RECH" , "recharge to or from the water table when shallow" , "m" ) call add_to_output( MosaicAverage(NoahmpIO%DEEPRECHXY) , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%QRFSXY) , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QRFXY) , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%QSPRINGSXY) , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QSPRINGXY) , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%QSLATXY) , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QLATXY) , "QLAT" , "instantaneous lateral flow" , "m" ) + call add_to_output( NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output( NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output( NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output( NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output( NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output( NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) endif ! Wetland model if ( NoahmpIO%IOPT_WETLAND > 0 ) then diff --git a/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 index 4a8db1a..34ee641 100644 --- a/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 +++ b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 @@ -27,215 +27,215 @@ subroutine WriteNoahmpMosaicSubgridOutput (NoahmpIO) ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. ! Properties - Assigned or predicted - call add_to_output_mosaic(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) - call add_to_output_mosaic(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output_mosaic(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output_mosaic(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output_mosaic(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) + call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) + call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) + call add_to_output_mosaic(NoahmpIO%FVEGXY , "FVEG" ,NoahmpIO%NTilesMax , "Green Vegetation Fraction" , "-" ) + call add_to_output_mosaic(NoahmpIO%LAI , "LAI" ,NoahmpIO%NTilesMax , "Leaf area index" , "m2/m2" ) + call add_to_output_mosaic(NoahmpIO%XSAIXY , "SAI" ,NoahmpIO%NTilesMax , "Stem area index" , "m2/m2" ) ! Forcing - call add_to_output_mosaic(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) - call add_to_output_mosaic(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) + call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) + call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) + call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) ! Grid energy budget terms - call add_to_output_mosaic(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) - call add_to_output_mosaic(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) + call add_to_output_mosaic(NoahmpIO%EMISS , "EMISS" ,NoahmpIO%NTilesMax , "Grid emissivity" , "-" ) + call add_to_output_mosaic(NoahmpIO%FSAXY , "FSA" ,NoahmpIO%NTilesMax , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%FIRAXY , "FIRA" ,NoahmpIO%NTilesMax , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GRDFLX , "GRDFLX" ,NoahmpIO%NTilesMax , "Heat flux into the soil" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%HFX , "HFX" ,NoahmpIO%NTilesMax , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%LH , "LH" ,NoahmpIO%NTilesMax , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%ECANXY , "ECAN" ,NoahmpIO%NTilesMax , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ETRANXY , "ETRAN" ,NoahmpIO%NTilesMax , "Transpiration rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%EDIRXY , "EDIR" ,NoahmpIO%NTilesMax , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ALBEDO , "ALBEDO" ,NoahmpIO%NTilesMax , "Surface albedo" , "-" ) ! Grid water budget terms - in addition to above - call add_to_output_mosaic(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output_mosaic(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output_mosaic(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output_mosaic(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output_mosaic(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) - call add_to_output_mosaic(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) - call add_to_output_mosaic(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - call add_to_output_mosaic(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%UDRUNOFF , "UGDRNOFF",NoahmpIO%NTilesMax , "Accumulated underground runoff" , "mm" ) + call add_to_output_mosaic(NoahmpIO%SFCRUNOFF , "SFCRNOFF",NoahmpIO%NTilesMax , "Accumulatetd surface runoff" , "mm" ) + call add_to_output_mosaic(NoahmpIO%CANLIQXY , "CANLIQ" ,NoahmpIO%NTilesMax , "Canopy liquid water content" , "mm" ) + call add_to_output_mosaic(NoahmpIO%CANICEXY , "CANICE" ,NoahmpIO%NTilesMax , "Canopy ice water content" , "mm" ) + call add_to_output_mosaic(NoahmpIO%ZWTXY , "ZWT" ,NoahmpIO%NTilesMax , "Depth to water table" , "m" ) + call add_to_output_mosaic(NoahmpIO%WAXY , "WA" ,NoahmpIO%NTilesMax , "Water in aquifer" , "mm" ) + call add_to_output_mosaic(NoahmpIO%WTXY , "WT" ,NoahmpIO%NTilesMax , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QTDRAIN , "QTDRAIN" ,NoahmpIO%NTilesMax , "Accumulated tile drainage" , "mm" ) + call add_to_output_mosaic(NoahmpIO%PONDINGXY , "PONDING" ,NoahmpIO%NTilesMax , "total surface ponding per time step" , "mm/s" ) ! Additional needed to close the canopy energy budget - call add_to_output_mosaic(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SAVXY , "SAV" ,NoahmpIO%NTilesMax , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%TRXY , "TR" ,NoahmpIO%NTilesMax , "Transpiration heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVCXY , "EVC" ,NoahmpIO%NTilesMax , "Canopy evap heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%IRCXY , "IRC" ,NoahmpIO%NTilesMax , "Canopy net LW rad" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHCXY , "SHC" ,NoahmpIO%NTilesMax , "Canopy sensible heat" , "W/m2" ) ! Additional needed to close the under canopy ground energy budget - call add_to_output_mosaic(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%IRGXY , "IRG" ,NoahmpIO%NTilesMax , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHGXY , "SHG" ,NoahmpIO%NTilesMax , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVGXY , "EVG" ,NoahmpIO%NTilesMax , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GHVXY , "GHV" ,NoahmpIO%NTilesMax , "below-canopy ground heat to soil" , "W/m2" ) ! Needed to close the bare ground energy budget - call add_to_output_mosaic(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SAGXY , "SAG" ,NoahmpIO%NTilesMax , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%IRBXY , "IRB" ,NoahmpIO%NTilesMax , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%SHBXY , "SHB" ,NoahmpIO%NTilesMax , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EVBXY , "EVB" ,NoahmpIO%NTilesMax , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%GHBXY , "GHB" ,NoahmpIO%NTilesMax , "Ground heat flux to soil bare ground" , "W/m2" ) ! Above-soil temperatures - call add_to_output_mosaic(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output_mosaic(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) - call add_to_output_mosaic(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) - call add_to_output_mosaic(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output_mosaic(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output_mosaic(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output_mosaic(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output_mosaic(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) + call add_to_output_mosaic(NoahmpIO%TRADXY , "TRAD" ,NoahmpIO%NTilesMax , "Surface radiative temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGXY , "TG" ,NoahmpIO%NTilesMax , "Ground temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TVXY , "TV" ,NoahmpIO%NTilesMax , "Vegetation temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TAHXY , "TAH" ,NoahmpIO%NTilesMax , "Canopy air temperature" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGVXY , "TGV" ,NoahmpIO%NTilesMax , "Ground surface Temp vegetated" , "K" ) + call add_to_output_mosaic(NoahmpIO%TGBXY , "TGB" ,NoahmpIO%NTilesMax , "Ground surface Temp bare" , "K" ) + call add_to_output_mosaic(NoahmpIO%T2MVXY , "T2MV" ,NoahmpIO%NTilesMax , "2m Air Temp vegetated" , "K" ) + call add_to_output_mosaic(NoahmpIO%T2MBXY , "T2MB" ,NoahmpIO%NTilesMax , "2m Air Temp bare" , "K" ) ! Above-soil moisture - call add_to_output_mosaic(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output_mosaic(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output_mosaic(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output_mosaic(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) + call add_to_output_mosaic(NoahmpIO%Q2MVXY , "Q2MV" ,NoahmpIO%NTilesMax , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%Q2MBXY , "Q2MB" ,NoahmpIO%NTilesMax , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%EAHXY , "EAH" ,NoahmpIO%NTilesMax , "Canopy air vapor pressure" , "Pa" ) + call add_to_output_mosaic(NoahmpIO%FWETXY , "FWET" ,NoahmpIO%NTilesMax , "Wetted fraction of canopy" , "fraction" ) ! Snow and soil - 3D terms - call add_to_output_mosaic(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") - call add_to_output_mosaic(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output_mosaic(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output_mosaic(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output_mosaic(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output_mosaic(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output_mosaic(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") - call add_to_output_mosaic(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") - call add_to_output_mosaic(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") - call add_to_output_mosaic(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") - call add_to_output_mosaic(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") - call add_to_output_mosaic(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") - call add_to_output_mosaic(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:,:),"ZSNSO_SN",NoahmpIO%NTilesMax ,"Snow layer depth from snow surface","m","SNOW") + call add_to_output_mosaic(NoahmpIO%SNICEXY , "SNICE" ,NoahmpIO%NTilesMax , "Snow layer ice" , "mm" , "SNOW") + call add_to_output_mosaic(NoahmpIO%SNLIQXY , "SNLIQ" ,NoahmpIO%NTilesMax , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output_mosaic(NoahmpIO%TSLB , "SOIL_T" ,NoahmpIO%NTilesMax , "soil temperature" , "K" , "SOIL") + call add_to_output_mosaic(NoahmpIO%SMOIS , "SOIL_M" ,NoahmpIO%NTilesMax , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output_mosaic(NoahmpIO%SH2O , "SOIL_W" ,NoahmpIO%NTilesMax , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output_mosaic(NoahmpIO%TSNOXY , "SNOW_T" ,NoahmpIO%NTilesMax , "snow temperature" , "K" , "SNOW") + call add_to_output_mosaic(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" ,NoahmpIO%NTilesMax , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" ,NoahmpIO%NTilesMax , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" ,NoahmpIO%NTilesMax , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" ,NoahmpIO%NTilesMax , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" ,NoahmpIO%NTilesMax , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output_mosaic(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" ,NoahmpIO%NTilesMax , "Soil albedo (diffuse)" , "-" , "RADN") ! Snow - 2D terms - call add_to_output_mosaic(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) - call add_to_output_mosaic(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) - call add_to_output_mosaic(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) - call add_to_output_mosaic(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output_mosaic(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%SNOWH , "SNOWH" ,NoahmpIO%NTilesMax , "Snow depth" , "m" ) + call add_to_output_mosaic(NoahmpIO%SNOW , "SNEQV" ,NoahmpIO%NTilesMax , "Snow water equivalent" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QSNOWXY , "QSNOW" ,NoahmpIO%NTilesMax , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QRAINXY , "QRAIN" ,NoahmpIO%NTilesMax , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%ISNOWXY , "ISNOW" ,NoahmpIO%NTilesMax , "Number of snow layers" , "-" ) + call add_to_output_mosaic(NoahmpIO%SNOWC , "FSNO" ,NoahmpIO%NTilesMax , "Snow-cover fraction on the ground" , "-" ) + call add_to_output_mosaic(NoahmpIO%ACSNOW , "ACSNOW" ,NoahmpIO%NTilesMax , "accumulated snow fall" , "mm" ) + call add_to_output_mosaic(NoahmpIO%ACSNOM , "ACSNOM" ,NoahmpIO%NTilesMax , "accumulated snow melt water" , "mm" ) + call add_to_output_mosaic(NoahmpIO%QSNBOTXY , "QSNBOT" ,NoahmpIO%NTilesMax , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QMELTXY , "QMELT" ,NoahmpIO%NTilesMax , "snow melt due to phase change" , "mm/s" ) ! SNICAR snow albedo scheme if (NoahmpIO%IOPT_ALB == 3)then - call add_to_output_mosaic(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") - call add_to_output_mosaic(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") - call add_to_output_mosaic(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output_mosaic(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%SNRDSXY , "SNRDS" ,NoahmpIO%NTilesMax , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output_mosaic(NoahmpIO%SNFRXY , "SNFR" ,NoahmpIO%NTilesMax , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output_mosaic(NoahmpIO%BCPHIXY , "BCPHI_Mass",NoahmpIO%NTilesMax ,"hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%BCPHOXY , "BCPHO_Mass",NoahmpIO%NTilesMax ,"hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%OCPHIXY , "OCPHI_Mass",NoahmpIO%NTilesMax ,"hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%OCPHOXY , "OCPHO_Mass",NoahmpIO%NTilesMax ,"hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST1XY , "DUST1_Mass",NoahmpIO%NTilesMax ,"dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST2XY , "DUST2_Mass",NoahmpIO%NTilesMax ,"dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST3XY , "DUST3_Mass",NoahmpIO%NTilesMax ,"dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST4XY , "DUST4_Mass",NoahmpIO%NTilesMax ,"dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%DUST5XY , "DUST5_Mass",NoahmpIO%NTilesMax ,"dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc",NoahmpIO%NTilesMax ,"hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc",NoahmpIO%NTilesMax ,"hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc",NoahmpIO%NTilesMax ,"hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc",NoahmpIO%NTilesMax ,"hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc",NoahmpIO%NTilesMax ,"dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc",NoahmpIO%NTilesMax ,"dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc",NoahmpIO%NTilesMax ,"dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc",NoahmpIO%NTilesMax ,"dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output_mosaic(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc",NoahmpIO%NTilesMax ,"dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") endif ! Exchange coefficients - call add_to_output_mosaic(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CMXY , "CM" ,NoahmpIO%NTilesMax , "Momentum drag coefficient" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHXY , "CH" ,NoahmpIO%NTilesMax , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHVXY , "CHV" ,NoahmpIO%NTilesMax , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHBXY , "CHB" ,NoahmpIO%NTilesMax , "Exchange coefficient bare" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHLEAFXY , "CHLEAF" ,NoahmpIO%NTilesMax , "Exchange coefficient leaf" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHUCXY , "CHUC" ,NoahmpIO%NTilesMax , "Exchange coefficient bare" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHV2XY , "CHV2" ,NoahmpIO%NTilesMax , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%CHB2XY , "CHB2" ,NoahmpIO%NTilesMax , "Exchange coefficient 2-m bare" , "m/s" ) ! Carbon allocation model - call add_to_output_mosaic(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) - call add_to_output_mosaic(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) - call add_to_output_mosaic(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) - call add_to_output_mosaic(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) - call add_to_output_mosaic(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) - call add_to_output_mosaic(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) - call add_to_output_mosaic(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) - call add_to_output_mosaic(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) - call add_to_output_mosaic(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) - call add_to_output_mosaic(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) - call add_to_output_mosaic(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) - call add_to_output_mosaic(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) - call add_to_output_mosaic(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + call add_to_output_mosaic(NoahmpIO%LFMASSXY , "LFMASS" ,NoahmpIO%NTilesMax , "Leaf mass" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%RTMASSXY , "RTMASS" ,NoahmpIO%NTilesMax , "Mass of fine roots" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%STMASSXY , "STMASS" ,NoahmpIO%NTilesMax , "Stem mass" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%WOODXY , "WOOD" ,NoahmpIO%NTilesMax , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%GRAINXY , "GRAIN" ,NoahmpIO%NTilesMax , "Mass of grain" , "g/m2" ) + call add_to_output_mosaic(NoahmpIO%GDDXY , "GDD" ,NoahmpIO%NTilesMax , "Growing degree days " , "-" ) + call add_to_output_mosaic(NoahmpIO%STBLCPXY , "STBLCP" ,NoahmpIO%NTilesMax , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output_mosaic(NoahmpIO%FASTCPXY , "FASTCP" ,NoahmpIO%NTilesMax , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output_mosaic(NoahmpIO%NEEXY , "NEE" ,NoahmpIO%NTilesMax , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output_mosaic(NoahmpIO%GPPXY , "GPP" ,NoahmpIO%NTilesMax , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output_mosaic(NoahmpIO%NPPXY , "NPP" ,NoahmpIO%NTilesMax , "Net primary productivity" , "gC/m2/s" ) + call add_to_output_mosaic(NoahmpIO%PSNXY , "PSN" ,NoahmpIO%NTilesMax , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output_mosaic(NoahmpIO%APARXY , "APAR" ,NoahmpIO%NTilesMax , "Photosynthesis active energy by canopy", "W/m2" ) ! additional NoahMP output if (NoahmpIO%noahmp_output > 0) then ! additional water budget terms - call add_to_output_mosaic(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) - call add_to_output_mosaic(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") - call add_to_output_mosaic(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") - call add_to_output_mosaic(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") - call add_to_output_mosaic(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") - call add_to_output_mosaic(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") - call add_to_output_mosaic(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output_mosaic(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") - call add_to_output_mosaic(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") - call add_to_output_mosaic(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%QINTSXY , "QINTS" ,NoahmpIO%NTilesMax , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QINTRXY , "QINTR" ,NoahmpIO%NTilesMax , "canopy interception rate for rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDRIPSXY , "QDRIPS" ,NoahmpIO%NTilesMax , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDRIPRXY , "QDRIPR" ,NoahmpIO%NTilesMax , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QTHROSXY , "QTHROS" ,NoahmpIO%NTilesMax , "throughfall of snowfall" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QTHRORXY , "QTHROR" ,NoahmpIO%NTilesMax , "throughfall for rain" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSNSUBXY , "QSNSUB" ,NoahmpIO%NTilesMax , "snow surface sublimation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSNFROXY , "QSNFRO" ,NoahmpIO%NTilesMax , "snow surface frost rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QSUBCXY , "QSUBC" ,NoahmpIO%NTilesMax , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QFROCXY , "QFROC" ,NoahmpIO%NTilesMax , "canopy snow frost rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QEVACXY , "QEVAC" ,NoahmpIO%NTilesMax , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QDEWCXY , "QDEWC" ,NoahmpIO%NTilesMax , "canopy snow dew rate" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QFRZCXY , "QFRZC" ,NoahmpIO%NTilesMax , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%QMELTCXY , "QMELTC" ,NoahmpIO%NTilesMax , "melting rate of canopy snow" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%FPICEXY , "FPICE" ,NoahmpIO%NTilesMax , "snow fraction in precipitation" , "-" ) + call add_to_output_mosaic(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR",NoahmpIO%NTilesMax , "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output_mosaic(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" ,NoahmpIO%NTilesMax , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output_mosaic(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI",NoahmpIO%NTilesMax , "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output_mosaic(NoahmpIO%ACC_DWATERXY,"ACC_DWATER",NoahmpIO%NTilesMax , "accumulated water storage change within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" ,NoahmpIO%NTilesMax , "accumulated precipitation within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" ,NoahmpIO%NTilesMax , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output_mosaic(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" ,NoahmpIO%NTilesMax , "accumulated transpiration within soil timestep" , "mm") + call add_to_output_mosaic(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" ,NoahmpIO%NTilesMax , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output_mosaic(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW",NoahmpIO%NTilesMax , "accumuated glacier excessive flow per soil timestep" , "mm") ! additional energy terms - call add_to_output_mosaic(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) - call add_to_output_mosaic(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) - call add_to_output_mosaic(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) - call add_to_output_mosaic(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) - call add_to_output_mosaic(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) - call add_to_output_mosaic(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHXY , "PAH" ,NoahmpIO%NTilesMax , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHGXY , "PAHG" ,NoahmpIO%NTilesMax , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHBXY , "PAHB" ,NoahmpIO%NTilesMax , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%PAHVXY , "PAHV" ,NoahmpIO%NTilesMax , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output_mosaic(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL",NoahmpIO%NTilesMax ,"accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output_mosaic(NoahmpIO%EFLXBXY , "EFLXB" ,NoahmpIO%NTilesMax , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output_mosaic(NoahmpIO%SOILENERGY , "SOILENERGY",NoahmpIO%NTilesMax ,"energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output_mosaic(NoahmpIO%SNOWENERGY , "SNOWENERGY",NoahmpIO%NTilesMax ,"energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output_mosaic(NoahmpIO%CANHSXY , "CANHS" ,NoahmpIO%NTilesMax , "canopy heat storage change" , "W/m2" ) ! additional forcing terms - call add_to_output_mosaic(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) - call add_to_output_mosaic(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) - call add_to_output_mosaic(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) - call add_to_output_mosaic(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) - call add_to_output_mosaic(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) - call add_to_output_mosaic(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) - call add_to_output_mosaic(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) - call add_to_output_mosaic(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + call add_to_output_mosaic(NoahmpIO%RAINLSM , "RAINLSM" ,NoahmpIO%NTilesMax , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%SNOWLSM , "SNOWLSM" ,NoahmpIO%NTilesMax , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output_mosaic(NoahmpIO%FORCTLSM , "FORCTLSM",NoahmpIO%NTilesMax , "lowest model temperature into LSM" , "K" ) + call add_to_output_mosaic(NoahmpIO%FORCQLSM , "FORCQLSM",NoahmpIO%NTilesMax , "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output_mosaic(NoahmpIO%FORCPLSM , "FORCPLSM",NoahmpIO%NTilesMax , "lowest model pressure into LSM" , "Pa" ) + call add_to_output_mosaic(NoahmpIO%FORCZLSM , "FORCZLSM",NoahmpIO%NTilesMax , "lowest model forcing height into LSM" , "m" ) + call add_to_output_mosaic(NoahmpIO%FORCWLSM , "FORCWLSM",NoahmpIO%NTilesMax , "lowest model wind speed into LSM" , "m/s" ) + call add_to_output_mosaic(NoahmpIO%RadSwVisFrac , "SWVISFRAC",NoahmpIO%NTilesMax , "Fraction of visible band downward solar radiation", "-" ) + call add_to_output_mosaic(NoahmpIO%RadSwDirFrac , "SWDIRFRAC",NoahmpIO%NTilesMax , "Fraction of downward solar direct radiation", "-" ) endif ! Irrigation if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_output_mosaic(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output_mosaic(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output_mosaic(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output_mosaic(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) - call add_to_output_mosaic(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output_mosaic(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output_mosaic(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output_mosaic(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + call add_to_output_mosaic(NoahmpIO%IRNUMSI , "IRNUMSI" ,NoahmpIO%NTilesMax , "Sprinkler irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRNUMMI , "IRNUMMI" ,NoahmpIO%NTilesMax , "Micro irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRNUMFI , "IRNUMFI" ,NoahmpIO%NTilesMax , "Flood irrigation count" , "-" ) + call add_to_output_mosaic(NoahmpIO%IRELOSS , "IRELOSS" ,NoahmpIO%NTilesMax , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRSIVOL , "IRSIVOL" ,NoahmpIO%NTilesMax , "Sprinkler irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRMIVOL , "IRMIVOL" ,NoahmpIO%NTilesMax , "Micro irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRFIVOL , "IRFIVOL" ,NoahmpIO%NTilesMax , "Flood irrigation amount" , "mm" ) + call add_to_output_mosaic(NoahmpIO%IRRSPLH , "IRRSPLH" ,NoahmpIO%NTilesMax , "Accumulated latent heating due to sprinkler" , "J/m2" ) endif ! MMF groundwater model if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_output_mosaic(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) - call add_to_output_mosaic(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output_mosaic(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output_mosaic(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output_mosaic(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output_mosaic(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output_mosaic(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) + call add_to_output_mosaic(NoahmpIO%SMCWTDXY , "SMCWTD" ,NoahmpIO%NTilesMax , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output_mosaic(NoahmpIO%RECHXY , "RECH" ,NoahmpIO%NTilesMax , "recharge to or from the water table when shallow" , "m" ) + call add_to_output_mosaic(NoahmpIO%DEEPRECHXY , "DEEPRECH" ,NoahmpIO%NTilesMax , "recharge to or from the water table when deep" , "m" ) + call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) + call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) + call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) + call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) + call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) + call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) endif ! Wetland model if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_output_mosaic(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) - call add_to_output_mosaic(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") + call add_to_output_mosaic(NoahmpIO%FSATXY , "FSAT" ,NoahmpIO%NTilesMax , "saturated fraction of the grid" , "-" ) + call add_to_output_mosaic(NoahmpIO%WSURFXY , "WSURF" ,NoahmpIO%NTilesMax , "Wetland Water Storage" , "mm") endif end subroutine WriteNoahmpMosaicSubgridOutput diff --git a/hrldas/IO_code/WriteNoahmpOutputMod.F90 b/hrldas/IO_code/WriteNoahmpOutputMod.F90 deleted file mode 100644 index 4f72703..0000000 --- a/hrldas/IO_code/WriteNoahmpOutputMod.F90 +++ /dev/null @@ -1,243 +0,0 @@ -module WriteNoahmpOutputMod - -!!! This module part of NoahMP/HRLDAS output writing workflow -!!! Purpose: To write NoahMP grid values to model output file. - -! ------------------------ Code history ----------------------------------- -! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) -! Date : September 12, 2025 -! ------------------------------------------------------------------------- - - use Machine - use NoahmpIOVarType - use module_hrldas_netcdf_io - - implicit none - -contains - -!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types - - subroutine WriteNoahmpOutput (NoahmpIO) - - implicit none - - type(NoahmpIO_type), intent(inout) :: NoahmpIO - - ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. - - ! Properties - Assigned or predicted - call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) - call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) - ! Forcing - call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) - call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) - ! Grid energy budget terms - call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) - call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) - call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) - call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) - call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) - ! Grid water budget terms - in addition to above - call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) - call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) - call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) - call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) - ! Additional needed to close the canopy energy budget - call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) - call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) - ! Additional needed to close the under canopy ground energy budget - call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) - ! Needed to close the bare ground energy budget - call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) - call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) - ! Above-soil temperatures - call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) - call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) - call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) - ! Above-soil moisture - call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) - ! Snow and soil - 3D terms - call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") - call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") - call add_to_output(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") - ! Snow - 2D terms - call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) - call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) - call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) - call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) - call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) - call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) - ! SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call add_to_output(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") - call add_to_output(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") - call add_to_output(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") - endif - ! Exchange coefficients - call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) - call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) - ! Carbon allocation model - call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) - call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) - call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) - call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) - call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) - call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) - call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) - call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) - call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) - call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) - call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) - call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) - call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) - ! additional NoahMP output - if (NoahmpIO%noahmp_output > 0) then - ! additional water budget terms - call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) - call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) - call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) - call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) - call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) - call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") - call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") - ! additional energy terms - call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) - call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) - call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) - call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) - call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) - ! additional forcing terms - call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) - call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) - call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) - call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) - call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) - call add_to_output(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) - call add_to_output(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) - endif - - ! Irrigation - if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) - call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) - endif - ! MMF groundwater model - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) - call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) - endif - ! Wetland model - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_output(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) - call add_to_output(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") - endif - - end subroutine WriteNoahmpOutput - -end module WriteNoahmpOutputMod \ No newline at end of file diff --git a/hrldas/IO_code/WriteNoahmpRestartMod.F90 b/hrldas/IO_code/WriteNoahmpRestartMod.F90 deleted file mode 100644 index 5d2f7d9..0000000 --- a/hrldas/IO_code/WriteNoahmpRestartMod.F90 +++ /dev/null @@ -1,243 +0,0 @@ -module WriteNoahmpRestartMod - -!!! This module part of NoahMP/HRLDAS output writing workflow -!!! Purpose: To write NoahMP grid values to model output file. - -! ------------------------ Code history ----------------------------------- -! Original code : Prasanth Valayamkunnath (IISER Thiruvananthapuram) -! Date : September 12, 2025 -! ------------------------------------------------------------------------- - - use Machine - use NoahmpIOVarType - use module_hrldas_netcdf_io - - implicit none - -contains - -!=== sort landuse/soiltype/hydrotype index based on area fraction and identify most dominant types - - subroutine WriteNoahmpRestart (NoahmpIO) - - implicit none - - type(NoahmpIO_type), intent(inout) :: NoahmpIO - - ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. - - ! Properties - Assigned or predicted - call add_to_output(NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) - call add_to_output(NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output(NoahmpIO%FVEGXY , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output(NoahmpIO%LAI , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output(NoahmpIO%XSAIXY , "SAI" , "Stem area index" , "m2/m2" ) - ! Forcing - call add_to_output(NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) - call add_to_output(NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) - call add_to_output(NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) - ! Grid energy budget terms - call add_to_output(NoahmpIO%EMISS , "EMISS" , "Grid emissivity" , "-" ) - call add_to_output(NoahmpIO%FSAXY , "FSA" , "Total absorbed SW radiation" , "W/m2" ) - call add_to_output(NoahmpIO%FIRAXY , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%GRDFLX , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) - call add_to_output(NoahmpIO%HFX , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%LH , "LH" , "Total latent heat to atmosphere" , "W/m2" ) - call add_to_output(NoahmpIO%ECANXY , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ETRANXY , "ETRAN" , "Transpiration rate" , "mm/s" ) - call add_to_output(NoahmpIO%EDIRXY , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%ALBEDO , "ALBEDO" , "Surface albedo" , "-" ) - ! Grid water budget terms - in addition to above - call add_to_output(NoahmpIO%UDRUNOFF , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output(NoahmpIO%SFCRUNOFF , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output(NoahmpIO%CANLIQXY , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output(NoahmpIO%CANICEXY , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output(NoahmpIO%ZWTXY , "ZWT" , "Depth to water table" , "m" ) - call add_to_output(NoahmpIO%WAXY , "WA" , "Water in aquifer" , "mm" ) - call add_to_output(NoahmpIO%WTXY , "WT" , "Water in aquifer and saturated soil" , "mm" ) - call add_to_output(NoahmpIO%QTDRAIN , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - call add_to_output(NoahmpIO%PONDINGXY , "PONDING" , "total surface ponding per time step" , "mm/s" ) - ! Additional needed to close the canopy energy budget - call add_to_output(NoahmpIO%SAVXY , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) - call add_to_output(NoahmpIO%TRXY , "TR" , "Transpiration heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVCXY , "EVC" , "Canopy evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%IRCXY , "IRC" , "Canopy net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHCXY , "SHC" , "Canopy sensible heat" , "W/m2" ) - ! Additional needed to close the under canopy ground energy budget - call add_to_output(NoahmpIO%IRGXY , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) - call add_to_output(NoahmpIO%SHGXY , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) - call add_to_output(NoahmpIO%EVGXY , "EVG" , "below-canopy ground evap heat" , "W/m2" ) - call add_to_output(NoahmpIO%GHVXY , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) - ! Needed to close the bare ground energy budget - call add_to_output(NoahmpIO%SAGXY , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) - call add_to_output(NoahmpIO%IRBXY , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%SHBXY , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%EVBXY , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%GHBXY , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) - ! Above-soil temperatures - call add_to_output(NoahmpIO%TRADXY , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output(NoahmpIO%TGXY , "TG" , "Ground temperature" , "K" ) - call add_to_output(NoahmpIO%TVXY , "TV" , "Vegetation temperature" , "K" ) - call add_to_output(NoahmpIO%TAHXY , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output(NoahmpIO%TGVXY , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%TGBXY , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output(NoahmpIO%T2MVXY , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output(NoahmpIO%T2MBXY , "T2MB" , "2m Air Temp bare" , "K" ) - ! Above-soil moisture - call add_to_output(NoahmpIO%Q2MVXY , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output(NoahmpIO%Q2MBXY , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output(NoahmpIO%EAHXY , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output(NoahmpIO%FWETXY , "FWET" , "Wetted fraction of canopy" , "fraction" ) - ! Snow and soil - 3D terms - call add_to_output(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") - call add_to_output(NoahmpIO%SNICEXY , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output(NoahmpIO%SNLIQXY , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output(NoahmpIO%TSLB , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output(NoahmpIO%SMOIS , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%SH2O , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output(NoahmpIO%TSNOXY , "SNOW_T" , "snow temperature" , "K" , "SNOW") - call add_to_output(NoahmpIO%ALBSNOWDIRXY, "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSNOWDIFXY, "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIRXY , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSFCDIFXY , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIRXY, "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") - call add_to_output(NoahmpIO%ALBSOILDIFXY, "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") - ! Snow - 2D terms - call add_to_output(NoahmpIO%SNOWH , "SNOWH" , "Snow depth" , "m" ) - call add_to_output(NoahmpIO%SNOW , "SNEQV" , "Snow water equivalent" , "mm" ) - call add_to_output(NoahmpIO%QSNOWXY , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%QRAINXY , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) - call add_to_output(NoahmpIO%ISNOWXY , "ISNOW" , "Number of snow layers" , "-" ) - call add_to_output(NoahmpIO%SNOWC , "FSNO" , "Snow-cover fraction on the ground" , "-" ) - call add_to_output(NoahmpIO%ACSNOW , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output(NoahmpIO%ACSNOM , "ACSNOM" , "accumulated snow melt water" , "mm" ) - call add_to_output(NoahmpIO%QSNBOTXY , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTXY , "QMELT" , "snow melt due to phase change" , "mm/s" ) - ! SNICAR snow albedo scheme - if (NoahmpIO%IOPT_ALB == 3)then - call add_to_output(NoahmpIO%SNRDSXY , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") - call add_to_output(NoahmpIO%SNFRXY , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") - call add_to_output(NoahmpIO%BCPHIXY , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%BCPHOXY , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHIXY , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%OCPHOXY , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST1XY , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST2XY , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST3XY , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST4XY , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%DUST5XY , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHIXY, "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcBCPHOXY, "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHIXY, "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcOCPHOXY, "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST1XY, "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST2XY, "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST3XY, "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST4XY, "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output(NoahmpIO%MassConcDUST5XY, "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") - endif - ! Exchange coefficients - call add_to_output(NoahmpIO%CMXY , "CM" , "Momentum drag coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHXY , "CH" , "Sensible heat exchange coefficient" , "m/s" ) - call add_to_output(NoahmpIO%CHVXY , "CHV" , "Exchange coefficient vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHBXY , "CHB" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHLEAFXY , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) - call add_to_output(NoahmpIO%CHUCXY , "CHUC" , "Exchange coefficient bare" , "m/s" ) - call add_to_output(NoahmpIO%CHV2XY , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) - call add_to_output(NoahmpIO%CHB2XY , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) - ! Carbon allocation model - call add_to_output(NoahmpIO%LFMASSXY , "LFMASS" , "Leaf mass" , "g/m2" ) - call add_to_output(NoahmpIO%RTMASSXY , "RTMASS" , "Mass of fine roots" , "g/m2" ) - call add_to_output(NoahmpIO%STMASSXY , "STMASS" , "Stem mass" , "g/m2" ) - call add_to_output(NoahmpIO%WOODXY , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) - call add_to_output(NoahmpIO%GRAINXY , "GRAIN" , "Mass of grain" , "g/m2" ) - call add_to_output(NoahmpIO%GDDXY , "GDD" , "Growing degree days " , "-" ) - call add_to_output(NoahmpIO%STBLCPXY , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) - call add_to_output(NoahmpIO%FASTCPXY , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) - call add_to_output(NoahmpIO%NEEXY , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) - call add_to_output(NoahmpIO%GPPXY , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) - call add_to_output(NoahmpIO%NPPXY , "NPP" , "Net primary productivity" , "gC/m2/s" ) - call add_to_output(NoahmpIO%PSNXY , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) - call add_to_output(NoahmpIO%APARXY , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) - ! additional NoahMP output - if (NoahmpIO%noahmp_output > 0) then - ! additional water budget terms - call add_to_output(NoahmpIO%QINTSXY , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) - call add_to_output(NoahmpIO%QINTRXY , "QINTR" , "canopy interception rate for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPSXY , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) - call add_to_output(NoahmpIO%QDRIPRXY , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) - call add_to_output(NoahmpIO%QTHROSXY , "QTHROS" , "throughfall of snowfall" , "mm/s" ) - call add_to_output(NoahmpIO%QTHRORXY , "QTHROR" , "throughfall for rain" , "mm/s" ) - call add_to_output(NoahmpIO%QSNSUBXY , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSNFROXY , "QSNFRO" , "snow surface frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QSUBCXY , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFROCXY , "QFROC" , "canopy snow frost rate" , "mm/s" ) - call add_to_output(NoahmpIO%QEVACXY , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) - call add_to_output(NoahmpIO%QDEWCXY , "QDEWC" , "canopy snow dew rate" , "mm/s" ) - call add_to_output(NoahmpIO%QFRZCXY , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) - call add_to_output(NoahmpIO%QMELTCXY , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) - call add_to_output(NoahmpIO%FPICEXY , "FPICE" , "snow fraction in precipitation" , "-" ) - call add_to_output(NoahmpIO%ACC_QINSURXY,"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_QSEVAXY ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") - call add_to_output(NoahmpIO%ACC_ETRANIXY,"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") - call add_to_output(NoahmpIO%ACC_DWATERXY,"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_PRCPXY ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_ECANXY ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_ETRANXY ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") - call add_to_output(NoahmpIO%ACC_EDIRXY ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") - call add_to_output(NoahmpIO%ACC_GLAFLWXY,"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") - ! additional energy terms - call add_to_output(NoahmpIO%PAHXY , "PAH" , "Precipitation advected heat flux" , "W/m2" ) - call add_to_output(NoahmpIO%PAHGXY , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHBXY , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) - call add_to_output(NoahmpIO%PAHVXY , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) - call add_to_output(NoahmpIO%ACC_SSOILXY, "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) - call add_to_output(NoahmpIO%EFLXBXY , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) - call add_to_output(NoahmpIO%SOILENERGY , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%SNOWENERGY , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) - call add_to_output(NoahmpIO%CANHSXY , "CANHS" , "canopy heat storage change" , "W/m2" ) - ! additional forcing terms - call add_to_output(NoahmpIO%RAINLSM , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%SNOWLSM , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) - call add_to_output(NoahmpIO%FORCTLSM , "FORCTLSM", "lowest model temperature into LSM" , "K" ) - call add_to_output(NoahmpIO%FORCQLSM , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) - call add_to_output(NoahmpIO%FORCPLSM , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) - call add_to_output(NoahmpIO%FORCZLSM , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) - call add_to_output(NoahmpIO%FORCWLSM , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) - call add_to_output(NoahmpIO%RadSwVisFrac , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) - call add_to_output(NoahmpIO%RadSwDirFrac , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) - endif - - ! Irrigation - if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_output(NoahmpIO%IRNUMSI , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMMI , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRNUMFI , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output(NoahmpIO%IRELOSS , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) - call add_to_output(NoahmpIO%IRSIVOL , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRMIVOL , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRFIVOL , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output(NoahmpIO%IRRSPLH , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) - endif - ! MMF groundwater model - if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_output(NoahmpIO%SMCWTDXY , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) - call add_to_output(NoahmpIO%RECHXY , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output(NoahmpIO%DEEPRECHXY , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) - call add_to_output(NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) - call add_to_output(NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) - call add_to_output(NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) - call add_to_output(NoahmpIO%QSPRINGXY , "QSPRING" , "instantaneous seeping water" , "m" ) - call add_to_output(NoahmpIO%QSLATXY , "QSLAT" , "accumulated lateral flow" , "mm" ) - call add_to_output(NoahmpIO%QLATXY , "QLAT" , "instantaneous lateral flow" , "m" ) - endif - ! Wetland model - if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_output(NoahmpIO%FSATXY , "FSAT" , "saturated fraction of the grid" , "-" ) - call add_to_output(NoahmpIO%WSURFXY , "WSURF" , "Wetland Water Storage" , "mm") - endif - - end subroutine WriteNoahmpRestart - -end module WriteNoahmpRestartMod \ No newline at end of file diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index f762538..570d561 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -16,7 +16,9 @@ module module_NoahMP_hrldas_driver use SnowInputSnicarMod, only : SnowInputSnicar use WriteNoahmpMosaicGridAverageOutputMod use WriteNoahmpMosaicSubgridOutputMod - use WriteNoahmpOutputMod + use WriteNoahmpMosaicRestartMod + use ReadNoahmpMosaicRestartMod + use NoahmpMosaicSortTileCatMod #ifdef MPP_LAND use module_mpp_land, only: MPP_LAND_PAR_INI, mpp_land_init, getLocalXY, mpp_land_bcast_char @@ -205,7 +207,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) end if if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & - allocate ( NoahmpIO%landusef (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) + allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & @@ -222,8 +224,9 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call ReadMosaicTileFrac (NoahmpIO%HRLDAS_SETUP_FILE, & NoahmpIO%XSTART,NoahmpIO%XEND, & NoahmpIO%YSTART, NoahmpIO%YEND, & - noahmpio%NumMosaicCat, NoahmpIO%SubGrdFrac,& - NoahmpIO%SubGrdFracName & + noahmpio%NumMosaicCat, & + NoahmpIO%SubGrdFracName, & + NoahmpIO%SubGrdFrac & ) call NoahmpMosaicSortTileCat (NoahmpIO) ! sort the landuse fraction decreasing order and identify maximum number of title @@ -399,11 +402,8 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) #endif ! Read restart files - if(NoahmpIO%IOPT_MOSAIC > 1) then - call ReadNoahmpMosaicRestart (NoahmpIO) - else - call ReadNoahmpRestart (NoahmpIO) - endif + + call ReadNoahmpMosaicRestart (NoahmpIO) NoahmpIO%STEPWTD = nint(NoahmpIO%WTDDT*60.0/NoahmpIO%DTBL) NoahmpIO%STEPWTD = max(NoahmpIO%STEPWTD,1) @@ -852,10 +852,12 @@ subroutine land_driver_exe(itime) endif IF (ITIME == 1 .AND. .NOT. NoahmpIO%RESTART_FLAG ) THEN - NoahmpIO%EAHXY = (NoahmpIO%P8W(:,1,:)*NoahmpIO%QV_CURR(:,1,:))/(0.622+NoahmpIO%QV_CURR(:,1,:)) ! Initial guess only. - NoahmpIO%TAHXY = NoahmpIO%T_PHY(:,1,:) ! Initial guess only. - NoahmpIO%CHXY = 0.1 - NoahmpIO%CMXY = 0.1 + do i=1,NoahmpIO%NTilesMax + NoahmpIO%EAHXY(:,:,i) = (NoahmpIO%P8W(:,1,:)*NoahmpIO%QV_CURR(:,1,:))/(0.622+NoahmpIO%QV_CURR(:,1,:)) ! Initial guess only. + NoahmpIO%TAHXY(:,:,i) = NoahmpIO%T_PHY(:,1,:) ! Initial guess only. + NoahmpIO%CHXY(:,:,i) = 0.1 + NoahmpIO%CMXY(:,:,i) = 0.1 + enddo ENDIF !------------------------------------------------------------------------ @@ -987,20 +989,20 @@ subroutine land_driver_exe(itime) NoahmpIO%dzs, NoahmpIO%startdate, NoahmpIO%olddate, & NoahmpIO%spinup_loop, & NoahmpIO%spinup_loops, NoahmpIO%IVGTYP, NoahmpIO%ISLTYP, & - NoahmpIO$NTilesMax) + NoahmpIO%NTilesMax) DEFINE_MODE_LOOP : do imode = 1, 2 call set_output_define_mode(imode) if(NoahmpIO%IOPT_MOSAIC > 1) then - if(IOPT_MOSAIC_OUTPUT == 0) then + if(NoahmpIO%IOPT_MOSAIC_OUTPUT == 0) then call WriteNoahmpMosaicGridAverageOutput(NoahmpIO) - else if(IOPT_MOSAIC_OUTPUT == 1) then + else if(NoahmpIO%IOPT_MOSAIC_OUTPUT == 1) then call WriteNoahmpMosaicSubgridOutput(NoahmpIO) endif else - call WriteNoahmpOutput(NoahmpIO) + call WriteNoahmpMosaicGridAverageOutput(NoahmpIO) endif ! For now, no urban output variables included @@ -1019,8 +1021,8 @@ subroutine land_driver_exe(itime) write(*,'(" ***DATE=", A19)', advance="NO") NoahmpIO%olddate else write(*,'(" ***DATE=", A19, 6F10.5)', advance="NO") & - NoahmpIO%olddate, NoahmpIO%TSLB(NoahmpIO%xstart,1,NoahmpIO%ystart), & - NoahmpIO%LAI(NoahmpIO%xstart,NoahmpIO%ystart) + NoahmpIO%olddate, NoahmpIO%TSLB(NoahmpIO%xstart,1,NoahmpIO%ystart,1), & + NoahmpIO%LAI(NoahmpIO%xstart,NoahmpIO%ystart,1) endif !------------------------------------------------------------------------ @@ -1086,11 +1088,8 @@ subroutine lsm_restart() NoahmpIO%mapproj, NoahmpIO%lat1, NoahmpIO%lon1, NoahmpIO%cen_lon, & NoahmpIO%iswater, NoahmpIO%ivgtyp, NoahmpIO%NTilesMax) - if(NoahmpIO%IOPT_MOSAIC > 1) then - call WriteNoahmpMosaicRestart (NoahmpIO) - else - call WriteNoahmpRestart (NoahmpIO) - endif + + call WriteNoahmpMosaicRestart (NoahmpIO) call finalize_restart_file() diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index 652c01d..1678cf7 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -5,7 +5,8 @@ module module_hrldas_netcdf_io #ifdef MPP_LAND use module_mpp_land, only:mpp_land_bcast_int1, decompose_data_real, mpp_land_bcast_real1, decompose_data_int, & io_id, global_nx, global_ny, my_id, write_io_real, write_io_int, write_io_real3d,decompose_data_real3d, & - mpp_land_sync,mpp_land_bcast_char,mpp_land_bcast + mpp_land_sync,mpp_land_bcast_char,mpp_land_bcast,write_io_real3d_mosaic,write_IO_real_mosaic, & + write_io_int_mosaic #endif #ifdef _PARALLEL_ @@ -116,9 +117,9 @@ module module_hrldas_netcdf_io interface get_from_restart_mosaic #ifdef MPP_LAND module procedure get_from_restart_2d_float_mpp_mosaic, get_from_restart_2d_integer_mpp_mosaic, get_from_restart_3d_mpp_mosaic, & - get_from_restart_att_mosaic + get_from_restart_att #else - module procedure get_from_restart_2d_float_mosaic, get_from_restart_2d_integer_mosaic, get_from_restart_3d_mosaic, get_from_restart_att_mosaic + module procedure get_from_restart_2d_float_mosaic, get_from_restart_2d_integer_mosaic, get_from_restart_3d_mosaic, get_from_restart_att #endif end interface @@ -5080,10 +5081,10 @@ subroutine get_from_restart_2d_float_mpp_mosaic(parallel_xstart, parallel_xend, if(my_id .eq. IO_id) then call get_from_restart_2d_float_mosaic(1, global_nx, 1, global_nx, global_ny, ntile, name, garray, return_error) endif - do + do n = 1, ntile call decompose_data_real(garray(:,:,n),array(:,:,n)) - end do + enddo end subroutine get_from_restart_2d_float_mpp_mosaic @@ -5323,7 +5324,10 @@ subroutine add_to_output_2d_float_mpp_mosaic ( array, name, ntile, description, real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array real(kind=kind_noahmp), dimension(global_nx,global_ny,ntile) :: garray character(len=*), intent(in) :: name, description, units - call write_io_real(array,garray) + integer :: n + do n = 1, ntile + call write_io_real(array(:,:,n),garray(:,:,n)) + enddo if(my_id .eq. io_id) then call add_to_output_2d_float_mosaic( garray, name, ntile, description, units ) endif @@ -5335,7 +5339,7 @@ subroutine add_to_output_2d_integer_mpp_mosaic ( array, name, ntile, description integer, dimension(:,:,:), intent(in) :: array character(len=*), intent(in) :: name, description, units integer, dimension(global_nx,global_ny,ntile) :: garray - call write_io_int_mosaic(array,garray) + call write_io_int_mosaic(array,garray,ntile) if(my_id .eq. io_id) then call add_to_output_2d_integer_mosaic( garray, name, ntile, description, units ) endif @@ -5343,8 +5347,8 @@ end subroutine add_to_output_2d_integer_mpp_mosaic subroutine add_to_output_3d_mpp_mosaic ( array, name, ntile, description, units, snow_or_soil ) implicit none - integer, intent(in) :: ntile - real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + integer, intent(in) :: ntile + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: array character(len=*), intent(in) :: name, description, units character(len=4), intent(in) :: snow_or_soil integer :: k, klevel @@ -5412,7 +5416,7 @@ end subroutine add_to_output_2d_integer_mosaic subroutine add_to_output_3d_mosaic ( array, name, ntile, description, units, snow_or_soil ) implicit none integer, intent(in) :: ntile - real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: array + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: array character(len=*), intent(in) :: name, description, units character(len=4), intent(in) :: snow_or_soil integer :: ixpar, jxpar, kxpar, nxpar @@ -5446,10 +5450,11 @@ end subroutine add_to_output_3d_mosaic !----------------------------------------------------------------------------------------- !----------------------------------------------------------------------------------------- - subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in + subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in xstart, xend, & ! in ystart, yend, & ! in NumberLulcCat, & ! in + SubGrdFracName, & ! in landusef) ! out implicit none @@ -5459,9 +5464,12 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in character(len=24) :: name character(len=256) :: units integer :: ierr + integer :: iret integer :: ncid integer :: rank integer :: iltype + integer :: varid + character(len=24), intent(in) :: SubGrdFracName real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend) :: xdum #ifdef _PARALLEL_ @@ -5488,8 +5496,8 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in stop endif - ! Get landuse fraction - name = "LANDUSEF" + ! Get subgrid fraction + name = trim(SubGrdFracName)! "LANDUSEF" iret = nf90_inq_varid(ncid, name, varid) if (iret == 0) then diff --git a/hrldas/run/Makefile b/hrldas/run/Makefile index 8c57bff..3901d59 100644 --- a/hrldas/run/Makefile +++ b/hrldas/run/Makefile @@ -22,6 +22,11 @@ OBJS_NoahMP = ../IO_code/module_NoahMP_hrldas_driver.o OBJS = \ ../IO_code/main_hrldas_driver.o \ ../IO_code/module_hrldas_netcdf_io.o \ + ../IO_code/MosaicAverageMod.o\ + ../IO_code/ReadNoahmpMosaicRestartMod.o\ + ../IO_code/WriteNoahmpMosaicGridAverageOutputMod.o\ + ../IO_code/WriteNoahmpMosaicRestartMod.o\ + ../IO_code/WriteNoahmpMosaicSubgridOutputMod.o\ ../../urban/wrf/module_bep_bem_helper.o \ ../../urban/wrf/module_sf_urban.o \ ../../urban/wrf/module_sf_bep.o \ @@ -54,6 +59,7 @@ OBJS = \ ../../noahmp/drivers/hrldas/WaterVarInTransferMod.o \ ../../noahmp/drivers/hrldas/BiochemVarInTransferMod.o \ ../../noahmp/drivers/hrldas/PedoTransferSR2006Mod.o \ + ../../noahmp/drivers/hrldas/NoahmpMosaicSortTileCatMod.o\ ../../noahmp/utility/Machine.o \ ../../noahmp/utility/CheckNanMod.o \ ../../noahmp/utility/PiecewiseLinearInterp1dMod.o \ diff --git a/hrldas/user_build_options b/hrldas/user_build_options new file mode 100644 index 0000000..538a858 --- /dev/null +++ b/hrldas/user_build_options @@ -0,0 +1,27 @@ + +#============================================================================================= +# Options for Linux with gnu gfortran MPI +# Please change the library paths according to your computer setup +#============================================================================================= + + COMPILERF90 = mpif90 + MPPFLAG = YES + FREESOURCE = -ffree-form -ffree-line-length-none + F90FLAGS = -g -fconvert=big-endian -fbounds-check -fno-range-check + MODFLAG = -I ../MPP + HYDRO_LIB = ../MPP/mpp_land.o ../MPP/CPL_WRF.o + LDFLAGS = + CPP = cpp + CPPFLAGS = -P -traditional -DMPP_LAND -D_GFORTRAN_ # -DSPATIAL_SOIL + LIBS = + LIBJASPER = -L/opt/ohpc/pub/libs/gnu9/spack/0.21.2/opt/spack/linux-rocky8-x86_64_v4/gcc-9.4.0/jasper-1.900.1-fvgz2uy46evsmvewm7mav3tsg63m4kqw/lib -ljasper + INCJASPER = -I/opt/ohpc/pub/libs/gnu9/spack/0.21.2/opt/spack/linux-rocky8-x86_64_v4/gcc-9.4.0/jasper-1.900.1-fvgz2uy46evsmvewm7mav3tsg63m4kqw/include + NETCDFMOD = -I/home/prasanth/local/netcdf/include + NETCDFLIB = -L/home/prasanth/local/netcdf/lib -lnetcdf -lnetcdff +# NETCDFMOD = -I/opt/apps/netcdf/4.8.1/include +# NETCDFLIB = -L/opt/apps/netcdf/4.8.1/lib -lnetcdf -lnetcdff + BZIP2 = NO +# BZIP2_INCLUDE = -I/usr/include +# BZIP2_LIB = -L/usr/lib64 -lbz2 + RM = rm -f + CC = cc diff --git a/noahmp b/noahmp index 232fc41..40ddce9 160000 --- a/noahmp +++ b/noahmp @@ -1 +1 @@ -Subproject commit 232fc4155018bb8de923abd9bc77830b95067f28 +Subproject commit 40ddce96463ae2d25e0c79668c83882f943f1b0a From 44bc7c9acf6d82e77b26c24308c3b6f55c48bbc1 Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Thu, 18 Dec 2025 15:22:13 +0530 Subject: [PATCH 43/45] mosaic_geodata --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 123 +++++++++++++------ hrldas/IO_code/module_hrldas_netcdf_io.F | 6 +- hrldas/run/namelist.hrldas_example | 7 ++ 3 files changed, 96 insertions(+), 40 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 570d561..579482e 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -72,7 +72,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) integer, optional, intent(in) :: wrfits,wrfite,wrfjts,wrfjte !local - integer :: xstart, xend, ystart, yend, ixfull, jxfull, NTilesMax + integer :: xstart, xend, ystart, yend, ixfull, jxfull #ifdef MPP_LAND call MPP_LAND_INIT() @@ -198,13 +198,14 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) if(NoahmpIO%IOPT_MOSAIC .eq. 1) then ! subgrid tiling based on land cover type only - if ( trim(noahmpio%llanduse) == "usgs" ) then - noahmpio%NumMosaicCat = 28 - else if ( trim(noahmpio%llanduse) == "modified_igbp_modis_noah") then - noahmpio%NumMosaicCat = 21 - else if ( trim(noahmpio%llanduse) == "NLCD40") THEN - noahmpio%NumMosaicCat = 40 - end if +! NumMosaicCat is read from namelist.hrldas for now +! if ( trim(noahmpio%llanduse) == "usgs" ) then +! noahmpio%NumMosaicCat = 28 +! else if ( trim(noahmpio%llanduse) == "modified_igbp_modis_noah") then +! noahmpio%NumMosaicCat = 21 +! else if ( trim(noahmpio%llanduse) == "NLCD40") THEN +! noahmpio%NumMosaicCat = 40 +! end if if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) @@ -219,7 +220,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%SubGrdFracRescaled = 0.0 NoahmpIO%SubGrdIndexSorted = 0 NoahmpIO%NumberOfTiles = 1 - NoahmpIO%SubGrdFracName = "LANDUSEF" + NoahmpIO%NTilesMax = 1 call ReadMosaicTileFrac (NoahmpIO%HRLDAS_SETUP_FILE, & NoahmpIO%XSTART,NoahmpIO%XEND, & @@ -362,9 +363,14 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%FSATMX = 0.38 NoahmpIO%WCAP = 0.1 call READ_WETLAND_INPUT(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND,& - NoahmpIO%FSATMX,NoahmpIO%WCAP) + NoahmpIO%FSATMX(:,:,1),NoahmpIO%WCAP(:,:,1)) endif + do kk = 1,NTilesMax + NoahmpIO%FSATMX(:,:,kk) = NoahmpIO%FSATMX(:,:,1) + NoahmpIO%WCAP(:,:,kk) = NoahmpIO%WCAP(:,:,1) + end do + !------------------------------------------------------------------------ ! For SF_URBAN_PHYSICS > 0 read 2D map of urban parameters !------------------------------------------------------------------------ @@ -386,8 +392,7 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ystart = NoahmpIO%ystart yend = NoahmpIO%yend ixfull = NoahmpIO%ixfull - jxfull = NoahmpIO%jxfull - NTilesMax = NoahmpIO%NTilesMax + jxfull = NoahmpIO%jxfull if (NoahmpIO%restart_filename_requested /= " ") then NoahmpIO%restart_flag = .true. @@ -495,16 +500,31 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ".LDASIN_DOMAIN"//NoahmpIO%hgrid #endif - call READINIT_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & - NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%NSOIL, NoahmpIO%DZS, & - NoahmpIO%OLDDATE, LDASIN_VERSION, NoahmpIO%SMOIS, & - NoahmpIO%TSLB, NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, & - NoahmpIO%SNOWH, NoahmpIO%FNDSNOWH) + call READINIT_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & + NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%NSOIL, NoahmpIO%DZS, & + NoahmpIO%OLDDATE, LDASIN_VERSION, NoahmpIO%SMOIS(:,:,:,1), & + NoahmpIO%TSLB(:,:,:,1), NoahmpIO%CANWAT(:,:,1), NoahmpIO%TSK(:,:,1), & + NoahmpIO%SNOW(:,:,1), NoahmpIO%SNOWH(:,:,1), NoahmpIO%FNDSNOWH) NoahmpIO%VEGFRA = 0.0 - call READVEG_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & - NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%OLDDATE, NoahmpIO%IVGTYP, & - NoahmpIO%VEGFRA, NoahmpIO%LAI, NoahmpIO%GVFMIN, NoahmpIO%GVFMAX) + call READVEG_HRLDAS(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%xstart, NoahmpIO%xend, & + NoahmpIO%ystart, NoahmpIO%yend, NoahmpIO%OLDDATE, NoahmpIO%IVGTYP, & + NoahmpIO%VEGFRA(:,:,1), NoahmpIO%LAI(:,:,1), NoahmpIO%GVFMIN(:,:,1), & + NoahmpIO%GVFMAX(:,:,1)) + + ! copy 2D static fields to mosaic dimension + do kk = 1,NTilesMax + NoahmpIO%SMOIS(:,:,:,kk) = NoahmpIO%SMOIS(:,:,:,1) + NoahmpIO%TSLB(:,:,:,kk) = NoahmpIO%TSLB(:,:,:,1) + NoahmpIO%CANWAT(:,:,kk) = NoahmpIO%CANWAT(:,:,1) + NoahmpIO%TSK(:,:,kk) = NoahmpIO%TSK(:,:,1) + NoahmpIO%SNOW(:,:,kk) = NoahmpIO%SNOW(:,:,1) + NoahmpIO%SNOWH(:,:,kk) = NoahmpIO%SNOWH(:,:,1) + NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) + NoahmpIO%GVFMIN(:,:,kk) = NoahmpIO%GVFMIN(:,:,1) + NoahmpIO%GVFMAX(:,:,kk) = NoahmpIO%GVFMAX(:,:,1) + end do #ifdef WRF_HYDRO else ! HRLDAS_ini_typ @@ -519,13 +539,13 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%CANWAT, NoahmpIO%TSK, NoahmpIO%SNOW, NoahmpIO%SNOWH, NoahmpIO%lai, NoahmpIO%VEGFRA, NoahmpIO%IVGTYP, & NoahmpIO%FNDSNOWH) - NoahmpIO%greenfrac = 0.0 + greenfrac = 0.0 #ifdef MPP_LAND call get_greenfrac_mpp & #else call get_greenfrac & #endif - (trim(NoahmpIO%GEO_STATIC_FLNM),NoahmpIO%greenfrac, NoahmpIO%ix, NoahmpIO%jx, NoahmpIO%olddate, NoahmpIO%SHDMAX) + (trim(NoahmpIO%GEO_STATIC_FLNM),greenfrac, NoahmpIO%ix, NoahmpIO%jx, NoahmpIO%olddate, NoahmpIO%SHDMAX) !yw GVFMAX = maxval(greenfrac) endif #endif @@ -699,10 +719,16 @@ subroutine land_driver_exe(itime) NoahmpIO%QV_CURR(:,1,:),NoahmpIO%U_PHY(:,1,:), & NoahmpIO%V_PHY(:,1,:),NoahmpIO%P8W(:,1,:), NoahmpIO%GLW, & NoahmpIO%SWDOWN, NoahmpIO%RAINBL, NoahmpIO%SNOWBL, & - NoahmpIO%VEGFRA, NoahmpIO%update_veg, NoahmpIO%LAI, & - NoahmpIO%update_lai, NoahmpIO%reset_spinup_date, & - NoahmpIO%startdate, NoahmpIO%RadSwDirFrac, NoahmpIO%RadSwVisFrac) - + NoahmpIO%VEGFRA(:,:,1), NoahmpIO%update_veg, & + NoahmpIO%LAI(:,:,1), NoahmpIO%update_lai, & + NoahmpIO%reset_spinup_date, NoahmpIO%startdate, & + NoahmpIO%RadSwDirFrac(:,:,1), NoahmpIO%RadSwVisFrac(:,:,1)) + + ! copy 2D static fields to mosaic dimension + do kk = 1,NTilesMax + NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) + enddo NoahmpIO%VEGFRA = NoahmpIO%VEGFRA * 100.0 else if(NoahmpIO%olddate == forcDate) then @@ -727,26 +753,49 @@ subroutine land_driver_exe(itime) NoahmpIO%forcing_name_DirFrac,NoahmpIO%forcing_name_VisFrac, & NoahmpIO%T_PHY(:,1,:),NoahmpIO%QV_CURR(:,1,:),NoahmpIO%U_PHY(:,1,:), & NoahmpIO%V_PHY(:,1,:),NoahmpIO%P8W(:,1,:), NoahmpIO%GLW, NoahmpIO%SWDOWN, & - NoahmpIO%RAINBL, NoahmpIO%SNOWBL, NoahmpIO%VEGFRA, NoahmpIO%update_veg, & - NoahmpIO%LAI, NoahmpIO%update_lai, NoahmpIO%reset_spinup_date, NoahmpIO%startdate, & - NoahmpIO%RadSwDirFrac, NoahmpIO%RadSwVisFrac ) - + NoahmpIO%RAINBL, NoahmpIO%SNOWBL, NoahmpIO%VEGFRA(:,:,1), NoahmpIO%update_veg, & + NoahmpIO%LAI(:,:,1), NoahmpIO%update_lai, NoahmpIO%reset_spinup_date, & + NoahmpIO%startdate, NoahmpIO%RadSwDirFrac(:,:,1), NoahmpIO%RadSwVisFrac(:,:,1)) + + ! copy 2D static fields to mosaic dimension + do kk = 1,NTilesMax + NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) + NoahmpIO%RadSwDirFrac(:,:,kk) = NoahmpIO%RadSwDirFrac(:,:,1) + NoahmpIO%RadSwVisFrac(:,:,kk) = NoahmpIO%RadSwVisFrac(:,:,1) + enddo + if(maxval(NoahmpIO%VEGFRA) <= 1 ) then NoahmpIO%VEGFRA = NoahmpIO%VEGFRA * 100. ! added for input vegfra as a fraction (0~1) endif #endif if((NoahmpIO%IOPT_ALB == 3) .and. (NoahmpIO%SNICAR_AEROSOL_READTABLE .eqv. .false.)) then - call READFORC_AEROSOL(NoahmpIO%INFLNM_TEMPLATE, NoahmpIO%FORCING_TIMESTEP, & - NoahmpIO%OLDDATE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & + call READFORC_AEROSOL(NoahmpIO%INFLNM_TEMPLATE, NoahmpIO%FORCING_TIMESTEP, & + NoahmpIO%OLDDATE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND, & NoahmpIO%reset_spinup_datea, NoahmpIO%startdate, & - NoahmpIO%forcing_name_BCPHI, NoahmpIO%forcing_name_BCPHO, NoahmpIO%forcing_name_OCPHI,& - NoahmpIO%forcing_name_OCPHO, NoahmpIO%forcing_name_DUST1, NoahmpIO%forcing_name_DUST2,& - NoahmpIO%forcing_name_DUST3, NoahmpIO%forcing_name_DUST4, NoahmpIO%forcing_name_DUST5, NoahmpIO%DepBChydrophiXY, & - NoahmpIO%DepBChydrophoXY, NoahmpIO%DepOChydrophiXY, NoahmpIO%DepOChydrophoXY, & - NoahmpIO%DepDust1XY, NoahmpIO%DepDust2XY, NoahmpIO%DepDust3XY, NoahmpIO%DepDust4XY, NoahmpIO%DepDust5XY ) + NoahmpIO%forcing_name_BCPHI, NoahmpIO%forcing_name_BCPHO, NoahmpIO%forcing_name_OCPHI, & + NoahmpIO%forcing_name_OCPHO, NoahmpIO%forcing_name_DUST1, NoahmpIO%forcing_name_DUST2, & + NoahmpIO%forcing_name_DUST3, NoahmpIO%forcing_name_DUST4, NoahmpIO%forcing_name_DUST5, & + NoahmpIO%DepBChydrophiXY(:,:,1), NoahmpIO%DepBChydrophoXY(:,:,1), & + NoahmpIO%DepOChydrophiXY(:,:,1), NoahmpIO%DepOChydrophoXY(:,:,1), & + NoahmpIO%DepDust1XY(:,:,1), NoahmpIO%DepDust2XY(:,:,1), NoahmpIO%DepDust3XY(:,:,1), & + NoahmpIO%DepDust4XY(:,:,1), NoahmpIO%DepDust5XY(:,:,1)) endif + ! copy 2D static fields to mosaic dimension + do kk = 1,NTilesMax + NoahmpIO%DepBChydrophiXY(:,:,kk) = NoahmpIO%DepBChydrophiXY(:,:,1) + NoahmpIO%DepBChydrophoXY(:,:,kk) = NoahmpIO%DepBChydrophoXY(:,:,1) + NoahmpIO%DepOChydrophiXY(:,:,kk) = NoahmpIO%DepOChydrophiXY(:,:,1) + NoahmpIO%DepOChydrophoXY(:,:,kk) = NoahmpIO%DepOChydrophoXY(:,:,1) + NoahmpIO%DepDust1XY(:,:,kk) = NoahmpIO%DepDust1XY(:,:,1) + NoahmpIO%DepDust2XY(:,:,kk) = NoahmpIO%DepDust2XY(:,:,1) + NoahmpIO%DepDust3XY(:,:,kk) = NoahmpIO%DepDust3XY(:,:,1) + NoahmpIO%DepDust4XY(:,:,kk) = NoahmpIO%DepDust4XY(:,:,1) + NoahmpIO%DepDust5XY(:,:,kk) = NoahmpIO%DepDust5XY(:,:,1) + enddo + 991 continue where(NoahmpIO%XLAND > 1.5) NoahmpIO%T_PHY(:,1,:) = 0.0 ! Prevent some overflow problems with ifort compiler [MB:20150812] diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index 1678cf7..bd2402a 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -5455,12 +5455,12 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in ystart, yend, & ! in NumberLulcCat, & ! in SubGrdFracName, & ! in - landusef) ! out + SubGrdFrac) ! out implicit none character(len=*), intent(in) :: wrfinput_flnm integer, intent(in) :: xstart, xend, ystart, yend, NumberLulcCat - real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: landusef + real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: SubGrdFrac character(len=24) :: name character(len=256) :: units integer :: ierr @@ -5504,7 +5504,7 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in ierr = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,NumberLulcCat/)) do iltype = 1,NumberLulcCat - landusef(:,iltype,:) = xdum(:,:,iltype) + SubGrdFrac(:,iltype,:) = xdum(:,:,iltype) end do else diff --git a/hrldas/run/namelist.hrldas_example b/hrldas/run/namelist.hrldas_example index 28770ad..d1173d9 100644 --- a/hrldas/run/namelist.hrldas_example +++ b/hrldas/run/namelist.hrldas_example @@ -62,6 +62,13 @@ TILE_DRAINAGE_OPTION = 0 WETLAND_OPTION = 0 +! the following are options for NoahMP Mosaic Scheme +MOSAIC_SCHEME_OPTION = 0 +MOSAIC_FRACT_NAME = "LANDUSEF" +MOSAIC_NUMBER_OF_CATEGORIES = 21 +MOSAIC_NUMBER_OF_TILES = 5 +MOSAIC_WRITE_OUTPUT = 0 + ! the following options only work for SNICAR snow albedo scheme SNICAR_BANDNUMBER_OPTION = 1 SNICAR_SOLARSPEC_OPTION = 1 From 4f3657b1e54c47c3f23352c7742560820cc9c0ea Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Sun, 28 Dec 2025 19:08:44 +0530 Subject: [PATCH 44/45] bugfix mosaic --- hrldas/IO_code/MosaicAverageMod.F90 | 53 +-- .../WriteNoahmpMosaicGridAverageOutputMod.F90 | 334 +++++++++--------- .../WriteNoahmpMosaicSubgridOutputMod.F90 | 2 +- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 140 ++++---- hrldas/IO_code/module_hrldas_netcdf_io.F | 7 +- 5 files changed, 278 insertions(+), 258 deletions(-) diff --git a/hrldas/IO_code/MosaicAverageMod.F90 b/hrldas/IO_code/MosaicAverageMod.F90 index 55fe1bc..9d9bed7 100644 --- a/hrldas/IO_code/MosaicAverageMod.F90 +++ b/hrldas/IO_code/MosaicAverageMod.F90 @@ -13,8 +13,6 @@ module MosaicAverageMod implicit none - type(NoahmpIO_type) :: NMPIO ! renamed NoahmpIO - ! Interface block for MosaicAverage interface MosaicAverage module procedure MosaicAverage_2d @@ -26,9 +24,10 @@ module MosaicAverageMod !=== Calculate averages along subgrid fractions ===! - function MosaicAverage_2d(InVariable) result(OutAverage) + function MosaicAverage_2d(InVariable,NMPIO) result(OutAverage) real(kind=kind_noahmp), dimension(:,:,:), intent(in) :: InVariable - real(kind=kind_noahmp), allocatable, dimension(:,:) :: OutAverage + real(kind=kind_noahmp), allocatable, dimension(:,:) :: OutAverage + type(NoahmpIO_type), intent(in) :: NMPIO integer :: ixpar, jxpar, nxpar ! Get dimensions @@ -36,25 +35,26 @@ function MosaicAverage_2d(InVariable) result(OutAverage) jxpar = size(InVariable, 2) nxpar = size(InVariable, 3) - ! Check dimensions of SubGrdFracRescaled - if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then - stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" + ! Check dimensions of SubGrdFracMosaic + if (size(NMPIO%SubGrdFracMosaic, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracMosaic, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracMosaic, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracMosaic for MosaicAverage_2d" end if ! Allocate output array allocate(OutAverage(ixpar, jxpar)) ! Calculate weighted average - OutAverage = sum(InVariable * NMPIO%SubGrdFracRescaled, dim=3) + OutAverage = sum(InVariable * NMPIO%SubGrdFracMosaic, dim=3) end function MosaicAverage_2d - function MosaicAverage_3d(InVariable) result(OutAverage) - real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: InVariable - real(kind=kind_noahmp), allocatable, dimension(:,:,:) :: OutAverage + function MosaicAverage_3d(InVariable,NMPIO) result(OutAverage) + real(kind=kind_noahmp), dimension(:,:,:,:), intent(in) :: InVariable + real(kind=kind_noahmp), allocatable, dimension(:,:,:) :: OutAverage real(kind=kind_noahmp), allocatable, dimension(:,:,:,:) :: SubGrdFrac + type(NoahmpIO_type), intent(in) :: NMPIO integer :: ixpar, jxpar, kxpar, nxpar, k ! Get dimensions @@ -63,11 +63,11 @@ function MosaicAverage_3d(InVariable) result(OutAverage) jxpar = size(InVariable, 3) nxpar = size(InVariable, 4) - ! Check dimensions of SubGrdFracRescaled - if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then - stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_3d" + ! Check dimensions of SubGrdFracMosaic + if (size(NMPIO%SubGrdFracMosaic, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracMosaic, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracMosaic, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracMosaic for MosaicAverage_3d" end if ! Allocate arrays @@ -76,7 +76,7 @@ function MosaicAverage_3d(InVariable) result(OutAverage) ! Populate SubGrdFrac do k = 1, kxpar - SubGrdFrac(:, k, :, :) = NMPIO%SubGrdFracRescaled + SubGrdFrac(:, k, :, :) = NMPIO%SubGrdFracMosaic end do ! Calculate weighted average @@ -87,9 +87,10 @@ function MosaicAverage_3d(InVariable) result(OutAverage) end function MosaicAverage_3d - function MosaicAverage_2d_int (InVariable) result(OutAverage) + function MosaicAverage_2d_int (InVariable, NMPIO) result(OutAverage) integer, dimension(:,:,:), intent(in) :: InVariable integer, allocatable, dimension(:,:) :: OutAverage + type(NoahmpIO_type), intent(in) :: NMPIO integer :: ixpar, jxpar, nxpar ! Get dimensions @@ -97,18 +98,18 @@ function MosaicAverage_2d_int (InVariable) result(OutAverage) jxpar = size(InVariable, 2) nxpar = size(InVariable, 3) - ! Check dimensions of SubGrdFracRescaled - if (size(NMPIO%SubGrdFracRescaled, 1) /= ixpar .or. & - size(NMPIO%SubGrdFracRescaled, 2) /= jxpar .or. & - size(NMPIO%SubGrdFracRescaled, 3) /= nxpar) then - stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracRescaled for MosaicAverage_2d" + ! Check dimensions of SubGrdFracMosaic + if (size(NMPIO%SubGrdFracMosaic, 1) /= ixpar .or. & + size(NMPIO%SubGrdFracMosaic, 2) /= jxpar .or. & + size(NMPIO%SubGrdFracMosaic, 3) /= nxpar) then + stop "Error: Dimension mismatch in NoahmpIO%SubGrdFracMosaic for MosaicAverage_2d" end if ! Allocate output array allocate(OutAverage(ixpar, jxpar)) ! Calculate weighted average - OutAverage = nint(sum(InVariable * NMPIO%SubGrdFracRescaled, dim=3)) + OutAverage = nint(sum(InVariable * NMPIO%SubGrdFracMosaic, dim=3)) end function MosaicAverage_2d_int diff --git a/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 index 4b260f4..34b686b 100644 --- a/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 +++ b/hrldas/IO_code/WriteNoahmpMosaicGridAverageOutputMod.F90 @@ -31,202 +31,202 @@ subroutine WriteNoahmpMosaicGridAverageOutput (NoahmpIO) ! Properties - Assigned or predicted call add_to_output( NoahmpIO%IVGTYP , "IVGTYP" , "Dominant vegetation category" , "category" ) call add_to_output( NoahmpIO%ISLTYP , "ISLTYP" , "Dominant soil category" , "category" ) - call add_to_output( MosaicAverage(NoahmpIO%FVEGXY) , "FVEG" , "Green Vegetation Fraction" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%LAI) , "LAI" , "Leaf area index" , "m2/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%XSAIXY) , "SAI" , "Stem area index" , "m2/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FVEGXY, NoahmpIO) , "FVEG" , "Green Vegetation Fraction" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%LAI, NoahmpIO) , "LAI" , "Leaf area index" , "m2/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%XSAIXY, NoahmpIO) , "SAI" , "Stem area index" , "m2/m2" ) ! Forcing call add_to_output( NoahmpIO%SWDOWN , "SWFORC" , "Shortwave forcing" , "W/m2" ) call add_to_output( NoahmpIO%COSZEN , "COSZ" , "Cosine of zenith angle" , "-" ) call add_to_output( NoahmpIO%GLW , "LWFORC" , "Longwave forcing" , "W/m2" ) call add_to_output( NoahmpIO%RAINBL , "RAINRATE", "Precipitation rate" , "mm/timestep" ) ! Grid energy budget terms - call add_to_output( MosaicAverage(NoahmpIO%EMISS) , "EMISS" , "Grid emissivity" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%FSAXY) , "FSA" , "Total absorbed SW radiation" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%FIRAXY) , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%GRDFLX) , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%HFX) , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%LH) , "LH" , "Total latent heat to atmosphere" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%ECANXY) , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%ETRANXY) , "ETRAN" , "Transpiration rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%EDIRXY) , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%ALBEDO) , "ALBEDO" , "Surface albedo" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%EMISS, NoahmpIO) , "EMISS" , "Grid emissivity" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%FSAXY, NoahmpIO) , "FSA" , "Total absorbed SW radiation" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FIRAXY, NoahmpIO) , "FIRA" , "Total net LW radiation to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GRDFLX, NoahmpIO) , "GRDFLX" , "Heat flux into the soil" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%HFX, NoahmpIO) , "HFX" , "Total sensible heat to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%LH, NoahmpIO) , "LH" , "Total latent heat to atmosphere" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%ECANXY, NoahmpIO) , "ECAN" , "Canopy water evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ETRANXY, NoahmpIO) , "ETRAN" , "Transpiration rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%EDIRXY, NoahmpIO) , "EDIR" , "Direct from soil evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ALBEDO, NoahmpIO) , "ALBEDO" , "Surface albedo" , "-" ) ! Grid water budget terms - in addition to above - call add_to_output( MosaicAverage(NoahmpIO%UDRUNOFF) , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%SFCRUNOFF) , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%CANLIQXY) , "CANLIQ" , "Canopy liquid water content" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%CANICEXY) , "CANICE" , "Canopy ice water content" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%ZWTXY) , "ZWT" , "Depth to water table" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%WAXY) , "WA" , "Water in aquifer" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%WTXY) , "WT" , "Water in aquifer and saturated soil" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QTDRAIN) , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%PONDINGXY) , "PONDING" , "total surface ponding per time step" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%UDRUNOFF, NoahmpIO) , "UGDRNOFF", "Accumulated underground runoff" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%SFCRUNOFF, NoahmpIO) , "SFCRNOFF", "Accumulatetd surface runoff" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%CANLIQXY, NoahmpIO) , "CANLIQ" , "Canopy liquid water content" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%CANICEXY, NoahmpIO) , "CANICE" , "Canopy ice water content" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%ZWTXY, NoahmpIO) , "ZWT" , "Depth to water table" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%WAXY, NoahmpIO) , "WA" , "Water in aquifer" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%WTXY, NoahmpIO) , "WT" , "Water in aquifer and saturated soil" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QTDRAIN, NoahmpIO) , "QTDRAIN" , "Accumulated tile drainage" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%PONDINGXY, NoahmpIO) , "PONDING" , "total surface ponding per time step" , "mm/s" ) ! Additional needed to close the canopy energy budget - call add_to_output( MosaicAverage(NoahmpIO%SAVXY) , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%TRXY) , "TR" , "Transpiration heat" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%EVCXY) , "EVC" , "Canopy evap heat" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%IRCXY) , "IRC" , "Canopy net LW rad" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%SHCXY) , "SHC" , "Canopy sensible heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SAVXY, NoahmpIO) , "SAV" , "Solar radiation absorbed by canopy" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%TRXY, NoahmpIO) , "TR" , "Transpiration heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVCXY, NoahmpIO) , "EVC" , "Canopy evap heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRCXY, NoahmpIO) , "IRC" , "Canopy net LW rad" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHCXY, NoahmpIO) , "SHC" , "Canopy sensible heat" , "W/m2" ) ! Additional needed to close the under canopy ground energy budget - call add_to_output( MosaicAverage(NoahmpIO%IRGXY) , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%SHGXY) , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%EVGXY) , "EVG" , "below-canopy ground evap heat" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%GHVXY) , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRGXY, NoahmpIO) , "IRG" , "below-canopy ground net LW rad" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHGXY, NoahmpIO) , "SHG" , "below-canopy ground sensible heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVGXY, NoahmpIO) , "EVG" , "below-canopy ground evap heat" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GHVXY, NoahmpIO) , "GHV" , "below-canopy ground heat to soil" , "W/m2" ) ! Needed to close the bare ground energy budget - call add_to_output( MosaicAverage(NoahmpIO%SAGXY) , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%IRBXY) , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%SHBXY) , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%EVBXY) , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%GHBXY) , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SAGXY, NoahmpIO) , "SAG" , "Solar radiation absorbed by ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRBXY, NoahmpIO) , "IRB" , "Net LW rad to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SHBXY, NoahmpIO) , "SHB" , "Sensible heat to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EVBXY, NoahmpIO) , "EVB" , "Evaporation heat to atm bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GHBXY, NoahmpIO) , "GHB" , "Ground heat flux to soil bare ground" , "W/m2" ) ! Above-soil temperatures - call add_to_output( MosaicAverage(NoahmpIO%TRADXY) , "TRAD" , "Surface radiative temperature" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%TGXY) , "TG" , "Ground temperature" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%TVXY) , "TV" , "Vegetation temperature" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%TAHXY) , "TAH" , "Canopy air temperature" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%TGVXY) , "TGV" , "Ground surface Temp vegetated" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%TGBXY) , "TGB" , "Ground surface Temp bare" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%T2MVXY) , "T2MV" , "2m Air Temp vegetated" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%T2MBXY) , "T2MB" , "2m Air Temp bare" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TRADXY, NoahmpIO) , "TRAD" , "Surface radiative temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGXY, NoahmpIO) , "TG" , "Ground temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TVXY, NoahmpIO) , "TV" , "Vegetation temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TAHXY, NoahmpIO) , "TAH" , "Canopy air temperature" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGVXY, NoahmpIO) , "TGV" , "Ground surface Temp vegetated" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%TGBXY, NoahmpIO) , "TGB" , "Ground surface Temp bare" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%T2MVXY, NoahmpIO) , "T2MV" , "2m Air Temp vegetated" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%T2MBXY, NoahmpIO) , "T2MB" , "2m Air Temp bare" , "K" ) ! Above-soil moisture - call add_to_output( MosaicAverage(NoahmpIO%Q2MVXY) , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) - call add_to_output( MosaicAverage(NoahmpIO%Q2MBXY) , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) - call add_to_output( MosaicAverage(NoahmpIO%EAHXY) , "EAH" , "Canopy air vapor pressure" , "Pa" ) - call add_to_output( MosaicAverage(NoahmpIO%FWETXY) , "FWET" , "Wetted fraction of canopy" , "fraction" ) + call add_to_output( MosaicAverage(NoahmpIO%Q2MVXY, NoahmpIO) , "Q2MV" , "2m mixing ratio vegetated" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%Q2MBXY, NoahmpIO) , "Q2MB" , "2m mixing ratio bare" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%EAHXY, NoahmpIO) , "EAH" , "Canopy air vapor pressure" , "Pa" ) + call add_to_output( MosaicAverage(NoahmpIO%FWETXY, NoahmpIO) , "FWET" , "Wetted fraction of canopy" , "fraction" ) ! Snow and soil - 3D terms - call add_to_output( MosaicAverage(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:,:)),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") - call add_to_output( MosaicAverage(NoahmpIO%SNICEXY) , "SNICE" , "Snow layer ice" , "mm" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%SNLIQXY) , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%TSLB) , "SOIL_T" , "soil temperature" , "K" , "SOIL") - call add_to_output( MosaicAverage(NoahmpIO%SMOIS) , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output( MosaicAverage(NoahmpIO%SH2O) , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") - call add_to_output( MosaicAverage(NoahmpIO%TSNOXY) , "SNOW_T" , "snow temperature" , "K" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIRXY), "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") - call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIFXY), "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") - call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIRXY) , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") - call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIFXY) , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") - call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIRXY), "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") - call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIFXY), "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ZSNSOXY(:,-NoahmpIO%nsnow+1:0,:,:), NoahmpIO),"ZSNSO_SN","Snow layer depth from snow surface","m","SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNICEXY, NoahmpIO) , "SNICE" , "Snow layer ice" , "mm" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNLIQXY, NoahmpIO) , "SNLIQ" , "Snow layer liquid water" , "mm" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%TSLB, NoahmpIO) , "SOIL_T" , "soil temperature" , "K" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%SMOIS, NoahmpIO) , "SOIL_M" , "volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%SH2O, NoahmpIO) , "SOIL_W" , "liquid volumetric soil moisture" , "m3/m3" , "SOIL") + call add_to_output( MosaicAverage(NoahmpIO%TSNOXY, NoahmpIO) , "SNOW_T" , "snow temperature" , "K" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIRXY, NoahmpIO), "ALBSNOWDIR" , "Snow albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSNOWDIFXY, NoahmpIO), "ALBSNOWDIF" , "Snow albedo (diffuse)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIRXY, NoahmpIO) , "ALBSFCDIR" , "Surface albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSFCDIFXY, NoahmpIO) , "ALBSFCDIF" , "Surface albedo (diffuse)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIRXY, NoahmpIO), "ALBSOILDIR" , "Soil albedo (direct)" , "-" , "RADN") + call add_to_output( MosaicAverage(NoahmpIO%ALBSOILDIFXY, NoahmpIO), "ALBSOILDIF" , "Soil albedo (diffuse)" , "-" , "RADN") ! Snow - 2D terms - call add_to_output( MosaicAverage(NoahmpIO%SNOWH) , "SNOWH" , "Snow depth" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%SNOW) , "SNEQV" , "Snow water equivalent" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QSNOWXY) , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QRAINXY) , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%ISNOWXY) , "ISNOW" , "Number of snow layers" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%SNOWC) , "FSNO" , "Snow-cover fraction on the ground" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%ACSNOW) , "ACSNOW" , "accumulated snow fall" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%ACSNOM) , "ACSNOM" , "accumulated snow melt water" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%QSNBOTXY) , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QMELTXY) , "QMELT" , "snow melt due to phase change" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWH, NoahmpIO) , "SNOWH" , "Snow depth" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOW, NoahmpIO) , "SNEQV" , "Snow water equivalent" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNOWXY, NoahmpIO) , "QSNOW" , "Snowfall rate on the ground" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QRAINXY, NoahmpIO) , "QRAIN" , "Rainfall rate on the ground" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%ISNOWXY, NoahmpIO) , "ISNOW" , "Number of snow layers" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWC, NoahmpIO) , "FSNO" , "Snow-cover fraction on the ground" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%ACSNOW, NoahmpIO) , "ACSNOW" , "accumulated snow fall" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%ACSNOM, NoahmpIO) , "ACSNOM" , "accumulated snow melt water" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNBOTXY, NoahmpIO) , "QSNBOT" , "water (melt+rain through) out of snow bottom" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QMELTXY, NoahmpIO) , "QMELT" , "snow melt due to phase change" , "mm/s" ) ! SNICAR snow albedo scheme if (NoahmpIO%IOPT_ALB == 3)then - call add_to_output( MosaicAverage(NoahmpIO%SNRDSXY) , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%SNFRXY) , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%BCPHIXY) , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%BCPHOXY) , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%OCPHIXY) , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%OCPHOXY) , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%DUST1XY) , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%DUST2XY) , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%DUST3XY) , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%DUST4XY) , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%DUST5XY) , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHIXY), "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHOXY), "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHIXY), "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHOXY), "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST1XY), "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST2XY), "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST3XY), "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST4XY), "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") - call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST5XY), "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNRDSXY, NoahmpIO) , "SNRDS" , "Snow layer effective grain radius" , "m-6" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%SNFRXY, NoahmpIO) , "SNFR" , "Snow layer rate of freezing" , "mm/s" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%BCPHIXY, NoahmpIO) , "BCPHI_Mass","hydrophilic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%BCPHOXY, NoahmpIO) , "BCPHO_Mass","hydrophobic BC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%OCPHIXY, NoahmpIO) , "OCPHI_Mass","hydrophilic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%OCPHOXY, NoahmpIO) , "OCPHO_Mass","hydrophobic OC mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST1XY, NoahmpIO) , "DUST1_Mass","dust size bin 1 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST2XY, NoahmpIO) , "DUST2_Mass","dust size bin 2 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST3XY, NoahmpIO) , "DUST3_Mass","dust size bin 3 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST4XY, NoahmpIO) , "DUST4_Mass","dust size bin 4 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%DUST5XY, NoahmpIO) , "DUST5_Mass","dust size bin 5 mass in snow" , "kg/m2" , "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHIXY, NoahmpIO), "BCPHI_MassConc","hydrophilic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcBCPHOXY, NoahmpIO), "BCPHO_MassConc","hydrophobic BC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHIXY, NoahmpIO), "OCPHI_MassConc","hydrophilic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcOCPHOXY, NoahmpIO), "OCPHO_MassConc","hydrophobic OC mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST1XY, NoahmpIO), "DUST1_MassConc","dust size bin 1 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST2XY, NoahmpIO), "DUST2_MassConc","dust size bin 2 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST3XY, NoahmpIO), "DUST3_MassConc","dust size bin 3 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST4XY, NoahmpIO), "DUST4_MassConc","dust size bin 4 mass concentration in snow", "kg/kg", "SNOW") + call add_to_output( MosaicAverage(NoahmpIO%MassConcDUST5XY, NoahmpIO), "DUST5_MassConc","dust size bin 5 mass concentration in snow", "kg/kg", "SNOW") endif ! Exchange coefficients - call add_to_output( MosaicAverage(NoahmpIO%CMXY) , "CM" , "Momentum drag coefficient" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHXY) , "CH" , "Sensible heat exchange coefficient" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHVXY) , "CHV" , "Exchange coefficient vegetated" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHBXY) , "CHB" , "Exchange coefficient bare" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHLEAFXY) , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHUCXY) , "CHUC" , "Exchange coefficient bare" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHV2XY) , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%CHB2XY) , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CMXY, NoahmpIO) , "CM" , "Momentum drag coefficient" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHXY, NoahmpIO) , "CH" , "Sensible heat exchange coefficient" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHVXY, NoahmpIO) , "CHV" , "Exchange coefficient vegetated" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHBXY, NoahmpIO) , "CHB" , "Exchange coefficient bare" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHLEAFXY, NoahmpIO) , "CHLEAF" , "Exchange coefficient leaf" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHUCXY, NoahmpIO) , "CHUC" , "Exchange coefficient bare" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHV2XY, NoahmpIO) , "CHV2" , "Exchange coefficient 2-m vegetated" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%CHB2XY, NoahmpIO) , "CHB2" , "Exchange coefficient 2-m bare" , "m/s" ) ! Carbon allocation model - call add_to_output( MosaicAverage(NoahmpIO%LFMASSXY) , "LFMASS" , "Leaf mass" , "g/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%RTMASSXY) , "RTMASS" , "Mass of fine roots" , "g/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%STMASSXY) , "STMASS" , "Stem mass" , "g/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%WOODXY) , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%GRAINXY) , "GRAIN" , "Mass of grain" , "g/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%GDDXY) , "GDD" , "Growing degree days " , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%STBLCPXY) , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%FASTCPXY) , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%NEEXY) , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) - call add_to_output( MosaicAverage(NoahmpIO%GPPXY) , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) - call add_to_output( MosaicAverage(NoahmpIO%NPPXY) , "NPP" , "Net primary productivity" , "gC/m2/s" ) - call add_to_output( MosaicAverage(NoahmpIO%PSNXY) , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) - call add_to_output( MosaicAverage(NoahmpIO%APARXY) , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%LFMASSXY, NoahmpIO) , "LFMASS" , "Leaf mass" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%RTMASSXY, NoahmpIO) , "RTMASS" , "Mass of fine roots" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%STMASSXY, NoahmpIO) , "STMASS" , "Stem mass" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%WOODXY, NoahmpIO) , "WOOD" , "Mass of wood and woody roots" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GRAINXY, NoahmpIO) , "GRAIN" , "Mass of grain" , "g/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%GDDXY, NoahmpIO) , "GDD" , "Growing degree days " , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%STBLCPXY, NoahmpIO) , "STBLCP" , "Stable carbon in deep soil" , "gC/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%FASTCPXY, NoahmpIO) , "FASTCP" , "Short-lived carbon in shallow soil" , "gC/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%NEEXY, NoahmpIO) , "NEE" , "Net ecosystem exchange" , "gCO2/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%GPPXY, NoahmpIO) , "GPP" , "Net instantaneous assimilation" , "gC/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%NPPXY, NoahmpIO) , "NPP" , "Net primary productivity" , "gC/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%PSNXY, NoahmpIO) , "PSN" , "Total photosynthesis" , "umol CO2/m2/s" ) + call add_to_output( MosaicAverage(NoahmpIO%APARXY, NoahmpIO) , "APAR" , "Photosynthesis active energy by canopy", "W/m2" ) ! additional NoahMP output if (NoahmpIO%noahmp_output > 0) then ! additional water budget terms - call add_to_output( MosaicAverage(NoahmpIO%QINTSXY) , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QINTRXY) , "QINTR" , "canopy interception rate for rain" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QDRIPSXY) , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QDRIPRXY) , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QTHROSXY) , "QTHROS" , "throughfall of snowfall" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QTHRORXY) , "QTHROR" , "throughfall for rain" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QSNSUBXY) , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QSNFROXY) , "QSNFRO" , "snow surface frost rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QSUBCXY) , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QFROCXY) , "QFROC" , "canopy snow frost rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QEVACXY) , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QDEWCXY) , "QDEWC" , "canopy snow dew rate" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QFRZCXY) , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%QMELTCXY) , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%FPICEXY) , "FPICE" , "snow fraction in precipitation" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%ACC_QINSURXY),"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") - call add_to_output( MosaicAverage(NoahmpIO%ACC_QSEVAXY) ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") - call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANIXY),"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") - call add_to_output( MosaicAverage(NoahmpIO%ACC_DWATERXY),"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") - call add_to_output( MosaicAverage(NoahmpIO%ACC_PRCPXY) ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") - call add_to_output( MosaicAverage(NoahmpIO%ACC_ECANXY) ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") - call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANXY) ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") - call add_to_output( MosaicAverage(NoahmpIO%ACC_EDIRXY) ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") - call add_to_output( MosaicAverage(NoahmpIO%ACC_GLAFLWXY),"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%QINTSXY, NoahmpIO) , "QINTS" , "canopy interception (loading) rate for snowfall", "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QINTRXY, NoahmpIO) , "QINTR" , "canopy interception rate for rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDRIPSXY, NoahmpIO) , "QDRIPS" , "drip (unloading) rate for intercepted snow" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDRIPRXY, NoahmpIO) , "QDRIPR" , "drip rate for canopy intercepted rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QTHROSXY, NoahmpIO) , "QTHROS" , "throughfall of snowfall" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QTHRORXY, NoahmpIO) , "QTHROR" , "throughfall for rain" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNSUBXY, NoahmpIO) , "QSNSUB" , "snow surface sublimation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSNFROXY, NoahmpIO) , "QSNFRO" , "snow surface frost rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QSUBCXY, NoahmpIO) , "QSUBC" , "canopy snow sublimation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QFROCXY, NoahmpIO) , "QFROC" , "canopy snow frost rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QEVACXY, NoahmpIO) , "QEVAC" , "canopy snow evaporation rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QDEWCXY, NoahmpIO) , "QDEWC" , "canopy snow dew rate" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QFRZCXY, NoahmpIO) , "QFRZC" , "refreezing rate of canopy liquid water" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%QMELTCXY, NoahmpIO) , "QMELTC" , "melting rate of canopy snow" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%FPICEXY, NoahmpIO) , "FPICE" , "snow fraction in precipitation" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%ACC_QINSURXY, NoahmpIO),"ACC_QINSUR", "accumuated water flux to soil within soil timestep" , "m/s*dt_soil/dt_main") + call add_to_output( MosaicAverage(NoahmpIO%ACC_QSEVAXY, NoahmpIO) ,"ACC_QSEVA" , "accumulated soil surface evap rate within soil timestep", "m/s*dt_soil/dt_main") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANIXY, NoahmpIO),"ACC_ETRANI", "accumualted transpiration rate within soil timestep" , "m/s*dt_soil/dt_main","SOIL") + call add_to_output( MosaicAverage(NoahmpIO%ACC_DWATERXY, NoahmpIO),"ACC_DWATER", "accumulated water storage change within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_PRCPXY, NoahmpIO) ,"ACC_PRCP" , "accumulated precipitation within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ECANXY, NoahmpIO) ,"ACC_ECAN" , "accumulated net canopy evaporation within soil timestep", "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_ETRANXY, NoahmpIO) ,"ACC_ETRAN" , "accumulated transpiration within soil timestep" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_EDIRXY, NoahmpIO) ,"ACC_EDIR" , "accumulated net ground evaporation within soil timestep", "mm") + call add_to_output( MosaicAverage(NoahmpIO%ACC_GLAFLWXY, NoahmpIO),"ACC_GLAFLW", "accumuated glacier excessive flow per soil timestep" , "mm") ! additional energy terms - call add_to_output( MosaicAverage(NoahmpIO%PAHXY) , "PAH" , "Precipitation advected heat flux" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%PAHGXY) , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%PAHBXY) , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%PAHVXY) , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%ACC_SSOILXY), "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%EFLXBXY) , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%SOILENERGY) , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%SNOWENERGY) , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) - call add_to_output( MosaicAverage(NoahmpIO%CANHSXY) , "CANHS" , "canopy heat storage change" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHXY, NoahmpIO) , "PAH" , "Precipitation advected heat flux" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHGXY, NoahmpIO) , "PAHG" , "Precipitation advected heat flux to below-canopy ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHBXY, NoahmpIO) , "PAHB" , "Precipitation advected heat flux to bare ground" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%PAHVXY, NoahmpIO) , "PAHV" , "Precipitation advected heat flux to canopy" , "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%ACC_SSOILXY, NoahmpIO), "ACC_SSOIL","accumulated heat flux into snow/soil within soil timestep", "W/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%EFLXBXY, NoahmpIO) , "EFLXB" , "accumulated heat flux through soil bottom" , "J/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SOILENERGY, NoahmpIO) , "SOILENERGY","energy content in soil relative to 273.16" , "KJ/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWENERGY, NoahmpIO) , "SNOWENERGY","energy content in snow relative to 273.16" , "KJ/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%CANHSXY, NoahmpIO) , "CANHS" , "canopy heat storage change" , "W/m2" ) ! additional forcing terms - call add_to_output( MosaicAverage(NoahmpIO%RAINLSM) , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%SNOWLSM) , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) - call add_to_output( MosaicAverage(NoahmpIO%FORCTLSM) , "FORCTLSM", "lowest model temperature into LSM" , "K" ) - call add_to_output( MosaicAverage(NoahmpIO%FORCQLSM) , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) - call add_to_output( MosaicAverage(NoahmpIO%FORCPLSM) , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) - call add_to_output( MosaicAverage(NoahmpIO%FORCZLSM) , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%FORCWLSM) , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) - call add_to_output( MosaicAverage(NoahmpIO%RadSwVisFrac) , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) - call add_to_output( MosaicAverage(NoahmpIO%RadSwDirFrac) , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) + call add_to_output( MosaicAverage(NoahmpIO%RAINLSM, NoahmpIO) , "RAINLSM" , "lowest model liquid precipitation into LSM" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%SNOWLSM, NoahmpIO) , "SNOWLSM" , "lowest model snowfall into LSM" , "mm/s" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCTLSM, NoahmpIO) , "FORCTLSM", "lowest model temperature into LSM" , "K" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCQLSM, NoahmpIO) , "FORCQLSM", "lowest model specific humidty into LSM" , "kg/kg" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCPLSM, NoahmpIO) , "FORCPLSM", "lowest model pressure into LSM" , "Pa" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCZLSM, NoahmpIO) , "FORCZLSM", "lowest model forcing height into LSM" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%FORCWLSM, NoahmpIO) , "FORCWLSM", "lowest model wind speed into LSM" , "m/s" ) + call add_to_output( MosaicAverage(NoahmpIO%RadSwVisFrac, NoahmpIO) , "SWVISFRAC", "Fraction of visible band downward solar radiation", "-" ) + call add_to_output( MosaicAverage(NoahmpIO%RadSwDirFrac, NoahmpIO) , "SWDIRFRAC", "Fraction of downward solar direct radiation", "-" ) endif ! Irrigation if ( NoahmpIO%IOPT_IRR > 0 ) then - call add_to_output( MosaicAverage(NoahmpIO%IRNUMSI) , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%IRNUMMI) , "IRNUMMI" , "Micro irrigation count" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%IRNUMFI) , "IRNUMFI" , "Flood irrigation count" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%IRELOSS) , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%IRSIVOL) , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%IRMIVOL) , "IRMIVOL" , "Micro irrigation amount" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%IRFIVOL) , "IRFIVOL" , "Flood irrigation amount" , "mm" ) - call add_to_output( MosaicAverage(NoahmpIO%IRRSPLH) , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) + call add_to_output( MosaicAverage(NoahmpIO%IRNUMSI, NoahmpIO) , "IRNUMSI" , "Sprinkler irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRNUMMI, NoahmpIO) , "IRNUMMI" , "Micro irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRNUMFI, NoahmpIO) , "IRNUMFI" , "Flood irrigation count" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%IRELOSS, NoahmpIO) , "IRELOSS" , "Accumulated sprinkler Evaporation" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRSIVOL, NoahmpIO) , "IRSIVOL" , "Sprinkler irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRMIVOL, NoahmpIO) , "IRMIVOL" , "Micro irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRFIVOL, NoahmpIO) , "IRFIVOL" , "Flood irrigation amount" , "mm" ) + call add_to_output( MosaicAverage(NoahmpIO%IRRSPLH, NoahmpIO) , "IRRSPLH" , "Accumulated latent heating due to sprinkler" , "J/m2" ) endif ! MMF groundwater model if ( NoahmpIO%IOPT_RUNSUB == 5 ) then - call add_to_output( MosaicAverage(NoahmpIO%SMCWTDXY) , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) - call add_to_output( MosaicAverage(NoahmpIO%RECHXY) , "RECH" , "recharge to or from the water table when shallow" , "m" ) - call add_to_output( MosaicAverage(NoahmpIO%DEEPRECHXY) , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%SMCWTDXY, NoahmpIO) , "SMCWTD" , "soil water content between bottom of the soil and water table", "m3/m3" ) + call add_to_output( MosaicAverage(NoahmpIO%RECHXY, NoahmpIO) , "RECH" , "recharge to or from the water table when shallow" , "m" ) + call add_to_output( MosaicAverage(NoahmpIO%DEEPRECHXY, NoahmpIO) , "DEEPRECH" , "recharge to or from the water table when deep" , "m" ) call add_to_output( NoahmpIO%QRFSXY , "QRFS" , "accumulated groundwater baselow" , "mm" ) call add_to_output( NoahmpIO%QRFXY , "QRF" , "groundwater baseflow" , "m" ) call add_to_output( NoahmpIO%QSPRINGSXY , "QSPRINGS" , "accumulated seeping water" , "mm" ) @@ -236,8 +236,8 @@ subroutine WriteNoahmpMosaicGridAverageOutput (NoahmpIO) endif ! Wetland model if ( NoahmpIO%IOPT_WETLAND > 0 ) then - call add_to_output( MosaicAverage(NoahmpIO%FSATXY) , "FSAT" , "saturated fraction of the grid" , "-" ) - call add_to_output( MosaicAverage(NoahmpIO%WSURFXY) , "WSURF" , "Wetland Water Storage" , "mm") + call add_to_output( MosaicAverage(NoahmpIO%FSATXY, NoahmpIO) , "FSAT" , "saturated fraction of the grid" , "-" ) + call add_to_output( MosaicAverage(NoahmpIO%WSURFXY, NoahmpIO) , "WSURF" , "Wetland Water Storage" , "mm") endif end subroutine WriteNoahmpMosaicGridAverageOutput diff --git a/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 index 34ee641..a3b6edd 100644 --- a/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 +++ b/hrldas/IO_code/WriteNoahmpMosaicSubgridOutputMod.F90 @@ -22,7 +22,7 @@ subroutine WriteNoahmpMosaicSubgridOutput (NoahmpIO) implicit none - type(NoahmpIO_type), intent(inout) :: NoahmpIO + type(NoahmpIO_type), intent(in) :: NoahmpIO ! For 3D arrays, we need to know whether the Z dimension is snow layers, or soil layers. diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 579482e..19ae8d8 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -55,6 +55,7 @@ module module_NoahMP_hrldas_driver integer :: I integer :: J integer :: imode + integer :: N contains @@ -185,7 +186,11 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%jme = NoahmpIO%yend NoahmpIO%kms = 1 NoahmpIO%kme = 2 - + xstart = NoahmpIO%xstart + xend = NoahmpIO%xend + ystart = NoahmpIO%ystart + yend = NoahmpIO%yend + if ( (NoahmpIO%sf_urban_physics == 2) .or. (NoahmpIO%sf_urban_physics == 3) ) then NoahmpIO%kde = NoahmpIO%num_urban_atmosphere + 1 ! to be consistent with kme NoahmpIO%kme = NoahmpIO%num_urban_atmosphere + 1 ! bug fix for dimension of urban cell interfaces @@ -198,6 +203,15 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) if(NoahmpIO%IOPT_MOSAIC .eq. 1) then ! subgrid tiling based on land cover type only + if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & + allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, YSTART:YEND, 1:noahmpio%NumMosaicCat) ) + if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & + allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, YSTART:YEND, 1:noahmpio%NumMosaicCat) ) + if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & + allocate ( NoahmpIO%SubGrdIndexSorted (XSTART:XEND, YSTART:YEND, 1:noahmpio%NumMosaicCat) ) + if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & + allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) + ! NumMosaicCat is read from namelist.hrldas for now ! if ( trim(noahmpio%llanduse) == "usgs" ) then ! noahmpio%NumMosaicCat = 28 @@ -207,15 +221,6 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) ! noahmpio%NumMosaicCat = 40 ! end if - if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & - allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) - if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & - allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) - if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & - allocate ( NoahmpIO%SubGrdIndexSorted (XSTART:XEND, 1:noahmpio%NumMosaicCat, YSTART:YEND) ) - if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & - allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) - NoahmpIO%SubGrdFrac = 0.0 NoahmpIO%SubGrdFracRescaled = 0.0 NoahmpIO%SubGrdIndexSorted = 0 @@ -232,12 +237,27 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) call NoahmpMosaicSortTileCat (NoahmpIO) ! sort the landuse fraction decreasing order and identify maximum number of title ! based on 90% area fraction criteria. and rescale them to 100% - + if ( .not. allocated (NoahmpIO%SubGrdFracMosaic) ) & + allocate ( NoahmpIO%SubGrdFracMosaic (XSTART:XEND, YSTART:YEND, 1:noahmpio%NTilesMax) ) + NoahmpIO%SubGrdFracMosaic(:,:,1:noahmpio%NTilesMax) = NoahmpIO%SubGrdFracRescaled (:,:,1:noahmpio%NTilesMax) + else ! more options can be added with a else option for soil type or hydro type etc. + + if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & + allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, YSTART:YEND, 1) ) + if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & + allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, YSTART:YEND, 1) ) + if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & + allocate ( NoahmpIO%SubGrdIndexSorted (XSTART:XEND, YSTART:YEND, 1) ) + if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & + allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) + ! since all variables are with subgrid dimension, it should be 1 when mosaic is off NoahmpIO%NTilesMax = 1 ! maximum subgrid tiles NoahmpIO%NumberOfTiles = 1 ! 2D array of number of subgrid tiles NoahmpIO%SubGrdFracRescaled = 1 ! 3D array of subgrid fractions + NoahmpIO%SubGrdFracMosaic = 1 + endif ! Noah-MP Mosiac Scheme: Initialization Ends @@ -364,12 +384,12 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%WCAP = 0.1 call READ_WETLAND_INPUT(NoahmpIO%HRLDAS_SETUP_FILE, NoahmpIO%XSTART, NoahmpIO%XEND, NoahmpIO%YSTART, NoahmpIO%YEND,& NoahmpIO%FSATMX(:,:,1),NoahmpIO%WCAP(:,:,1)) - endif + do N = 1,NoahmpIO%NTilesMax + NoahmpIO%FSATMX(:,:,N) = NoahmpIO%FSATMX(:,:,1) + NoahmpIO%WCAP(:,:,N) = NoahmpIO%WCAP(:,:,1) + end do - do kk = 1,NTilesMax - NoahmpIO%FSATMX(:,:,kk) = NoahmpIO%FSATMX(:,:,1) - NoahmpIO%WCAP(:,:,kk) = NoahmpIO%WCAP(:,:,1) - end do + endif !------------------------------------------------------------------------ ! For SF_URBAN_PHYSICS > 0 read 2D map of urban parameters @@ -513,17 +533,17 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) NoahmpIO%GVFMAX(:,:,1)) ! copy 2D static fields to mosaic dimension - do kk = 1,NTilesMax - NoahmpIO%SMOIS(:,:,:,kk) = NoahmpIO%SMOIS(:,:,:,1) - NoahmpIO%TSLB(:,:,:,kk) = NoahmpIO%TSLB(:,:,:,1) - NoahmpIO%CANWAT(:,:,kk) = NoahmpIO%CANWAT(:,:,1) - NoahmpIO%TSK(:,:,kk) = NoahmpIO%TSK(:,:,1) - NoahmpIO%SNOW(:,:,kk) = NoahmpIO%SNOW(:,:,1) - NoahmpIO%SNOWH(:,:,kk) = NoahmpIO%SNOWH(:,:,1) - NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) - NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) - NoahmpIO%GVFMIN(:,:,kk) = NoahmpIO%GVFMIN(:,:,1) - NoahmpIO%GVFMAX(:,:,kk) = NoahmpIO%GVFMAX(:,:,1) + do N = 1,NoahmpIO%NTilesMax + NoahmpIO%SMOIS(:,:,:,N) = NoahmpIO%SMOIS(:,:,:,1) + NoahmpIO%TSLB(:,:,:,N) = NoahmpIO%TSLB(:,:,:,1) + NoahmpIO%CANWAT(:,:,N) = NoahmpIO%CANWAT(:,:,1) + NoahmpIO%TSK(:,:,N) = NoahmpIO%TSK(:,:,1) + NoahmpIO%SNOW(:,:,N) = NoahmpIO%SNOW(:,:,1) + NoahmpIO%SNOWH(:,:,N) = NoahmpIO%SNOWH(:,:,1) + NoahmpIO%VEGFRA(:,:,N) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,N) = NoahmpIO%LAI(:,:,1) + NoahmpIO%GVFMIN(:,:,N) = NoahmpIO%GVFMIN(:,:,1) + NoahmpIO%GVFMAX(:,:,N) = NoahmpIO%GVFMAX(:,:,1) end do #ifdef WRF_HYDRO @@ -725,9 +745,9 @@ subroutine land_driver_exe(itime) NoahmpIO%RadSwDirFrac(:,:,1), NoahmpIO%RadSwVisFrac(:,:,1)) ! copy 2D static fields to mosaic dimension - do kk = 1,NTilesMax - NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) - NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) + do N = 1,NoahmpIO%NTilesMax + NoahmpIO%VEGFRA(:,:,N) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,N) = NoahmpIO%LAI(:,:,1) enddo NoahmpIO%VEGFRA = NoahmpIO%VEGFRA * 100.0 else @@ -758,11 +778,11 @@ subroutine land_driver_exe(itime) NoahmpIO%startdate, NoahmpIO%RadSwDirFrac(:,:,1), NoahmpIO%RadSwVisFrac(:,:,1)) ! copy 2D static fields to mosaic dimension - do kk = 1,NTilesMax - NoahmpIO%VEGFRA(:,:,kk) = NoahmpIO%VEGFRA(:,:,1) - NoahmpIO%LAI(:,:,kk) = NoahmpIO%LAI(:,:,1) - NoahmpIO%RadSwDirFrac(:,:,kk) = NoahmpIO%RadSwDirFrac(:,:,1) - NoahmpIO%RadSwVisFrac(:,:,kk) = NoahmpIO%RadSwVisFrac(:,:,1) + do N = 1,NoahmpIO%NTilesMax + NoahmpIO%VEGFRA(:,:,N) = NoahmpIO%VEGFRA(:,:,1) + NoahmpIO%LAI(:,:,N) = NoahmpIO%LAI(:,:,1) + NoahmpIO%RadSwDirFrac(:,:,N) = NoahmpIO%RadSwDirFrac(:,:,1) + NoahmpIO%RadSwVisFrac(:,:,N) = NoahmpIO%RadSwVisFrac(:,:,1) enddo if(maxval(NoahmpIO%VEGFRA) <= 1 ) then @@ -781,20 +801,20 @@ subroutine land_driver_exe(itime) NoahmpIO%DepOChydrophiXY(:,:,1), NoahmpIO%DepOChydrophoXY(:,:,1), & NoahmpIO%DepDust1XY(:,:,1), NoahmpIO%DepDust2XY(:,:,1), NoahmpIO%DepDust3XY(:,:,1), & NoahmpIO%DepDust4XY(:,:,1), NoahmpIO%DepDust5XY(:,:,1)) - endif - ! copy 2D static fields to mosaic dimension - do kk = 1,NTilesMax - NoahmpIO%DepBChydrophiXY(:,:,kk) = NoahmpIO%DepBChydrophiXY(:,:,1) - NoahmpIO%DepBChydrophoXY(:,:,kk) = NoahmpIO%DepBChydrophoXY(:,:,1) - NoahmpIO%DepOChydrophiXY(:,:,kk) = NoahmpIO%DepOChydrophiXY(:,:,1) - NoahmpIO%DepOChydrophoXY(:,:,kk) = NoahmpIO%DepOChydrophoXY(:,:,1) - NoahmpIO%DepDust1XY(:,:,kk) = NoahmpIO%DepDust1XY(:,:,1) - NoahmpIO%DepDust2XY(:,:,kk) = NoahmpIO%DepDust2XY(:,:,1) - NoahmpIO%DepDust3XY(:,:,kk) = NoahmpIO%DepDust3XY(:,:,1) - NoahmpIO%DepDust4XY(:,:,kk) = NoahmpIO%DepDust4XY(:,:,1) - NoahmpIO%DepDust5XY(:,:,kk) = NoahmpIO%DepDust5XY(:,:,1) - enddo + ! copy 2D static fields to mosaic dimension + do N = 1,NoahmpIO%NTilesMax + NoahmpIO%DepBChydrophiXY(:,:,N) = NoahmpIO%DepBChydrophiXY(:,:,1) + NoahmpIO%DepBChydrophoXY(:,:,N) = NoahmpIO%DepBChydrophoXY(:,:,1) + NoahmpIO%DepOChydrophiXY(:,:,N) = NoahmpIO%DepOChydrophiXY(:,:,1) + NoahmpIO%DepOChydrophoXY(:,:,N) = NoahmpIO%DepOChydrophoXY(:,:,1) + NoahmpIO%DepDust1XY(:,:,N) = NoahmpIO%DepDust1XY(:,:,1) + NoahmpIO%DepDust2XY(:,:,N) = NoahmpIO%DepDust2XY(:,:,1) + NoahmpIO%DepDust3XY(:,:,N) = NoahmpIO%DepDust3XY(:,:,1) + NoahmpIO%DepDust4XY(:,:,N) = NoahmpIO%DepDust4XY(:,:,1) + NoahmpIO%DepDust5XY(:,:,N) = NoahmpIO%DepDust5XY(:,:,1) + enddo + endif 991 continue @@ -901,11 +921,11 @@ subroutine land_driver_exe(itime) endif IF (ITIME == 1 .AND. .NOT. NoahmpIO%RESTART_FLAG ) THEN - do i=1,NoahmpIO%NTilesMax - NoahmpIO%EAHXY(:,:,i) = (NoahmpIO%P8W(:,1,:)*NoahmpIO%QV_CURR(:,1,:))/(0.622+NoahmpIO%QV_CURR(:,1,:)) ! Initial guess only. - NoahmpIO%TAHXY(:,:,i) = NoahmpIO%T_PHY(:,1,:) ! Initial guess only. - NoahmpIO%CHXY(:,:,i) = 0.1 - NoahmpIO%CMXY(:,:,i) = 0.1 + do N=1,NoahmpIO%NTilesMax + NoahmpIO%EAHXY(:,:,N) = (NoahmpIO%P8W(:,1,:)*NoahmpIO%QV_CURR(:,1,:))/(0.622+NoahmpIO%QV_CURR(:,1,:)) ! Initial guess only. + NoahmpIO%TAHXY(:,:,N) = NoahmpIO%T_PHY(:,1,:) ! Initial guess only. + NoahmpIO%CHXY(:,:,N) = 0.1 + NoahmpIO%CMXY(:,:,N) = 0.1 enddo ENDIF @@ -1043,23 +1063,23 @@ subroutine land_driver_exe(itime) DEFINE_MODE_LOOP : do imode = 1, 2 call set_output_define_mode(imode) - - if(NoahmpIO%IOPT_MOSAIC > 1) then + + if(NoahmpIO%IOPT_MOSAIC >= 1) then if(NoahmpIO%IOPT_MOSAIC_OUTPUT == 0) then call WriteNoahmpMosaicGridAverageOutput(NoahmpIO) else if(NoahmpIO%IOPT_MOSAIC_OUTPUT == 1) then call WriteNoahmpMosaicSubgridOutput(NoahmpIO) endif - else + else if(NoahmpIO%IOPT_MOSAIC == 0) then call WriteNoahmpMosaicGridAverageOutput(NoahmpIO) endif - + ! For now, no urban output variables included enddo DEFINE_MODE_LOOP - - call finalize_output_file(NoahmpIO%split_output_count,itime) - + + call finalize_output_file(NoahmpIO%split_output_count,itime) + endif if(NoahmpIO%skip_first_output) NoahmpIO%skip_first_output = .false. diff --git a/hrldas/IO_code/module_hrldas_netcdf_io.F b/hrldas/IO_code/module_hrldas_netcdf_io.F index bd2402a..70713ac 100644 --- a/hrldas/IO_code/module_hrldas_netcdf_io.F +++ b/hrldas/IO_code/module_hrldas_netcdf_io.F @@ -5460,7 +5460,7 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in implicit none character(len=*), intent(in) :: wrfinput_flnm integer, intent(in) :: xstart, xend, ystart, yend, NumberLulcCat - real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend), intent(out) :: SubGrdFrac + real(kind=kind_noahmp), dimension(xstart:xend,ystart:yend,1:NumberLulcCat), intent(out) :: SubGrdFrac character(len=24) :: name character(len=256) :: units integer :: ierr @@ -5470,7 +5470,7 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in integer :: iltype integer :: varid character(len=24), intent(in) :: SubGrdFracName - real(kind=kind_noahmp), dimension(xstart:xend,1:NumberLulcCat,ystart:yend) :: xdum + real(kind=kind_noahmp), dimension(xstart:xend,ystart:yend,1:NumberLulcCat) :: xdum #ifdef _PARALLEL_ call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) @@ -5504,7 +5504,7 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in ierr = nf90_get_var(ncid, varid, xdum, start=(/xstart,ystart,1/), count=(/xend-xstart+1,yend-ystart+1,NumberLulcCat/)) do iltype = 1,NumberLulcCat - SubGrdFrac(:,iltype,:) = xdum(:,:,iltype) + SubGrdFrac(:,:,iltype) = xdum(:,:,iltype) end do else @@ -5517,7 +5517,6 @@ subroutine ReadMosaicTileFrac(wrfinput_flnm, & ! in ierr = nf90_close(ncid) if (ierr /= 0) stop "MODULE_HRLDAS_NETCDF_IO: ReadMosaicTileFrac: NF90_CLOSE" - end subroutine ReadMosaicTileFrac !--------------------------------------------------------------------------------------------------------- From 11e2006b19e326deb06345a19c6930de6a6b4464 Mon Sep 17 00:00:00 2001 From: prasanthvkrishna Date: Sat, 3 Jan 2026 21:07:21 +0530 Subject: [PATCH 45/45] non-mosaic-bugfix --- hrldas/IO_code/module_NoahMP_hrldas_driver.F | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/hrldas/IO_code/module_NoahMP_hrldas_driver.F b/hrldas/IO_code/module_NoahMP_hrldas_driver.F index 19ae8d8..b5d3d0b 100644 --- a/hrldas/IO_code/module_NoahMP_hrldas_driver.F +++ b/hrldas/IO_code/module_NoahMP_hrldas_driver.F @@ -245,18 +245,17 @@ subroutine land_driver_ini(NTIME_out,wrfits,wrfite,wrfjts,wrfjte) if ( .not. allocated (NoahmpIO%SubGrdFrac) ) & allocate ( NoahmpIO%SubGrdFrac (XSTART:XEND, YSTART:YEND, 1) ) - if ( .not. allocated (NoahmpIO%SubGrdFracRescaled)) & - allocate ( NoahmpIO%SubGrdFracRescaled (XSTART:XEND, YSTART:YEND, 1) ) + if ( .not. allocated (NoahmpIO%SubGrdFracMosaic) ) & + allocate ( NoahmpIO%SubGrdFracMosaic (XSTART:XEND, YSTART:YEND, 1) ) if ( .not. allocated (NoahmpIO%SubGrdIndexSorted) ) & allocate ( NoahmpIO%SubGrdIndexSorted (XSTART:XEND, YSTART:YEND, 1) ) if ( .not. allocated (NoahmpIO%NumberOfTiles) ) & - allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) + allocate ( NoahmpIO%NumberOfTiles (XSTART:XEND, YSTART:YEND) ) ! since all variables are with subgrid dimension, it should be 1 when mosaic is off NoahmpIO%NTilesMax = 1 ! maximum subgrid tiles NoahmpIO%NumberOfTiles = 1 ! 2D array of number of subgrid tiles - NoahmpIO%SubGrdFracRescaled = 1 ! 3D array of subgrid fractions - NoahmpIO%SubGrdFracMosaic = 1 + NoahmpIO%SubGrdFracMosaic = 1.0 endif