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Added single cell idealized test cases #13

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225 changes: 225 additions & 0 deletions testcases/idealized_single_cell/create_forcing.py
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from netCDF4 import Dataset
import numpy as np
import netCDF4

#-------------------------------------------------------------------------------

def create_output_times(inputTimesPerYear, year):

daysInMonth = [31,28,31,30,31,30,31,31,30,31,30,31]

xtimes = []

if (inputTimesPerYear == 1460):

minute = 0
second = 0

for iMonth in range(0,12):
for iDay in range(0,daysInMonth[iMonth]):
for iSixHours in range(0,4):

month = iMonth + 1
day = iDay + 1
hour = (iSixHours + 1) * 6

timeStr = "%4.4i-%2.2i-%2.2i_%2.2i:%2.2i:%2.2i" %(year,month,day,hour,minute,second)
xtimes.append(timeStr)

elif (inputTimesPerYear == 12):

day = 15
hour = 0
minute = 0
second = 0

for iMonth in range(0,12):

month = iMonth + 1

timeStr = "%4.4i-%2.2i-%2.2i_%2.2i:%2.2i:%2.2i" %(year,month,day,hour,minute,second)
xtimes.append(timeStr)

return xtimes

#-------------------------------------------------------------------------------

def create_forcing_subtest(
forcingName,
airTemperature,
airSpecificHumidity,
uAirVelocity,
vAirVelocity,
cloudFraction,
rainfallRate,
seaSurfaceSalinity,
seaSurfaceTemperature,
uOceanVelocity,
vOceanVelocity,
seaSurfaceTiltU,
seaSurfaceTiltV,
oceanMixedLayerDepth,
oceanHeatFluxConvergence):

# six hourly atmos forcing
fileOut = Dataset("atmosphere_forcing_six_hourly.%s.2000.nc" %(forcingName),"w",format="NETCDF3_CLASSIC")

fileOut.createDimension("nCells",1)
fileOut.createDimension("StrLen",64)
fileOut.createDimension("Time",None)

# time
xtimes = create_output_times(1460, 2000)
varXtime = fileOut.createVariable("xtime","c",dimensions=["Time","StrLen"])
for iTime in range(0,1460):
varXtime[iTime,0:19] = netCDF4.stringtochar(np.array(xtimes[iTime], 'S19'))
varXtime[iTime,19:] = " "*45

airTemperatureVar = fileOut.createVariable("airTemperature","d",dimensions=["Time", "nCells"])
airSpecificHumidityVar = fileOut.createVariable("airSpecificHumidity","d",dimensions=["Time", "nCells"])
uAirVelocityVar = fileOut.createVariable("uAirVelocity","d",dimensions=["Time", "nCells"])
vAirVelocityVar = fileOut.createVariable("vAirVelocity","d",dimensions=["Time", "nCells"])

airTemperatureVar[:] = airTemperature
airSpecificHumidityVar[:] = airSpecificHumidity
uAirVelocityVar[:] = uAirVelocity
vAirVelocityVar[:] = vAirVelocity

fileOut.close()

# monthly atmos forcing
fileOut = Dataset("atmosphere_forcing_monthly.%s.nc" %(forcingName),"w",format="NETCDF3_CLASSIC")

fileOut.createDimension("nCells",1)
fileOut.createDimension("StrLen",64)
fileOut.createDimension("Time",None)

# time
xtimes = create_output_times(12, 0)
varXtime = fileOut.createVariable("xtime","c",dimensions=["Time","StrLen"])
for iTime in range(0,12):
varXtime[iTime,0:19] = netCDF4.stringtochar(np.array(xtimes[iTime], 'S19'))
varXtime[iTime,19:] = " "*45

cloudFractionVar = fileOut.createVariable("cloudFraction","d",dimensions=["Time", "nCells"])
rainfallRateVar = fileOut.createVariable("rainfallRate","d",dimensions=["Time", "nCells"])

cloudFractionVar[:] = cloudFraction
rainfallRateVar[:] = rainfallRate

fileOut.close()

# monthly ocean forcing
fileOut = Dataset("ocean_forcing_monthly.%s.nc" %(forcingName),"w",format="NETCDF3_CLASSIC")

fileOut.createDimension("nCells",1)
fileOut.createDimension("StrLen",64)
fileOut.createDimension("Time",None)

# time
xtimes = create_output_times(12, 0)
varXtime = fileOut.createVariable("xtime","c",dimensions=["Time","StrLen"])
for iTime in range(0,12):
varXtime[iTime,0:19] = netCDF4.stringtochar(np.array(xtimes[iTime], 'S19'))
varXtime[iTime,19:] = " "*45

cloudFractionVar = fileOut.createVariable("cloudFraction","d",dimensions=["Time", "nCells"])
rainfallRateVar = fileOut.createVariable("rainfallRate","d",dimensions=["Time", "nCells"])

seaSurfaceSalinityVar = fileOut.createVariable("seaSurfaceSalinity","d",dimensions=["Time", "nCells"])
seaSurfaceTemperatureVar = fileOut.createVariable("seaSurfaceTemperature","d",dimensions=["Time", "nCells"])
uOceanVelocityVar = fileOut.createVariable("uOceanVelocity","d",dimensions=["Time", "nCells"])
vOceanVelocityVar = fileOut.createVariable("vOceanVelocity","d",dimensions=["Time", "nCells"])
seaSurfaceTiltUVar = fileOut.createVariable("seaSurfaceTiltU","d",dimensions=["Time", "nCells"])
seaSurfaceTiltVVar = fileOut.createVariable("seaSurfaceTiltV","d",dimensions=["Time", "nCells"])
oceanMixedLayerDepthVar = fileOut.createVariable("oceanMixedLayerDepth","d",dimensions=["Time", "nCells"])
oceanHeatFluxConvergenceVar = fileOut.createVariable("oceanHeatFluxConvergence","d",dimensions=["Time", "nCells"])

seaSurfaceSalinityVar[:] = seaSurfaceSalinity
seaSurfaceTemperatureVar[:] = seaSurfaceTemperature
uOceanVelocityVar[:] = uOceanVelocity
vOceanVelocityVar[:] = vOceanVelocity
seaSurfaceTiltUVar[:] = seaSurfaceTiltU
seaSurfaceTiltVVar[:] = seaSurfaceTiltV
oceanMixedLayerDepthVar[:] = oceanMixedLayerDepth
oceanHeatFluxConvergenceVar[:] = oceanHeatFluxConvergence

fileOut.close()

#-------------------------------------------------------------------------------

def create_forcing():

processes = ["congelation",
"surface_ice_melt",
"frazil"]

args = {"congelation":
{"airTemperature":273.15 - 30.0, # Kelvin
"airSpecificHumidity":0.0001,
"uAirVelocity":0.0,
"vAirVelocity":0.0,
"cloudFraction":1.0,
"rainfallRate":0.0,
"seaSurfaceSalinity":34.0,
"seaSurfaceTemperature":-1.8,
"uOceanVelocity":0.0,
"vOceanVelocity":0.0,
"seaSurfaceTiltU":0.0,
"seaSurfaceTiltV":0.0,
"oceanMixedLayerDepth":50.0,
"oceanHeatFluxConvergence":0.0},
"surface_ice_melt":
{"airTemperature":273.15 + 30.0, # Kelvin
"airSpecificHumidity":0.0001,
"uAirVelocity":0.0,
"vAirVelocity":0.0,
"cloudFraction":1.0,
"rainfallRate":0.0,
"seaSurfaceSalinity":34.0,
"seaSurfaceTemperature":-1.8,
"uOceanVelocity":0.0,
"vOceanVelocity":0.0,
"seaSurfaceTiltU":0.0,
"seaSurfaceTiltV":0.0,
"oceanMixedLayerDepth":50.0,
"oceanHeatFluxConvergence":0.0},
"frazil":
{"airTemperature":273.15 - 30.0, # Kelvin
"airSpecificHumidity":0.0001,
"uAirVelocity":0.0,
"vAirVelocity":0.0,
"cloudFraction":1.0,
"rainfallRate":0.0,
"seaSurfaceSalinity":34.0,
"seaSurfaceTemperature":-1.8,
"uOceanVelocity":0.0,
"vOceanVelocity":0.0,
"seaSurfaceTiltU":0.0,
"seaSurfaceTiltV":0.0,
"oceanMixedLayerDepth":50.0,
"oceanHeatFluxConvergence":0.0}}

for process in processes:
create_forcing_subtest(
process,
args[process]["airTemperature"],
args[process]["airSpecificHumidity"],
args[process]["uAirVelocity"],
args[process]["vAirVelocity"],
args[process]["cloudFraction"],
args[process]["rainfallRate"],
args[process]["seaSurfaceSalinity"],
args[process]["seaSurfaceTemperature"],
args[process]["uOceanVelocity"],
args[process]["vOceanVelocity"],
args[process]["seaSurfaceTiltU"],
args[process]["seaSurfaceTiltV"],
args[process]["oceanMixedLayerDepth"],
args[process]["oceanHeatFluxConvergence"])

#-------------------------------------------------------------------------------

if __name__ == "__main__":

create_forcing()
85 changes: 85 additions & 0 deletions testcases/idealized_single_cell/create_mesh.py
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from netCDF4 import Dataset
import math
import os
import matplotlib.pyplot as plt
import numpy as np

#-------------------------------------------------------------------------------

def create_mesh():

mpas_tools_dir = os.environ['MPAS_TOOLS_DIR']

fileGrid = Dataset("grid_in.nc","w",format="NETCDF3_CLASSIC")

fileGrid.on_a_sphere = "NO"

nCells = 1
nVertices = 4
vertexDegree = 4

fileGrid.createDimension("nCells", nCells)
fileGrid.createDimension("nVertices", nVertices)
fileGrid.createDimension("vertexDegree", vertexDegree)

xCell = np.zeros(nCells)
yCell = np.zeros(nCells)
zCell = np.zeros(nCells)

xVertex = np.zeros(nVertices)
yVertex = np.zeros(nVertices)
zVertex = np.zeros(nVertices)
cellsOnVertex = np.zeros((nVertices,vertexDegree),dtype="i")
cellsOnVertex[:] = -1

xVertex[0] = -0.5
yVertex[0] = -0.5
cellsOnVertex[0,0] = 0

xVertex[1] = 0.5
yVertex[1] = -0.5
cellsOnVertex[1,0] = 0

xVertex[2] = 0.5
yVertex[2] = 0.5
cellsOnVertex[2,0] = 0

xVertex[3] = -0.5
yVertex[3] = 0.5
cellsOnVertex[3,0] = 0

var = fileGrid.createVariable("xCell","d",dimensions=["nCells"])
var[:] = xCell[:]
var = fileGrid.createVariable("yCell","d",dimensions=["nCells"])
var[:] = yCell[:]
var = fileGrid.createVariable("zCell","d",dimensions=["nCells"])
var[:] = zCell[:]

var = fileGrid.createVariable("xVertex","d",dimensions=["nVertices"])
var[:] = xVertex[:]
var = fileGrid.createVariable("yVertex","d",dimensions=["nVertices"])
var[:] = yVertex[:]
var = fileGrid.createVariable("zVertex","d",dimensions=["nVertices"])
var[:] = zVertex[:]

cellsOnVertex[:] += 1
var = fileGrid.createVariable("cellsOnVertex","i",dimensions=["nVertices","vertexDegree"])
var[:] = cellsOnVertex[:]

fileGrid.close()

os.system("%s/mesh_tools/mesh_conversion_tools/MpasMeshConverter.x grid_in.nc grid.nc" %(mpas_tools_dir))

fileGrid = Dataset("grid.nc","a")

fileGrid.variables["latCell"][:] = math.radians(80.0)
fileGrid.variables["latVertex"][:] = math.radians(80.0)
fileGrid.variables["latEdge"][:] = math.radians(80.0)

fileGrid.close()

#-------------------------------------------------------------------------------

if __name__ == "__main__":

create_mesh()
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