[upstream candidate] Earthmover ERA5 cutout tier - #2
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New opt-in acquisition tier that builds cutouts directly from the public Arraylake ERA5 dataset (earthmover-public/era5): reads only the GB box for the requested year, so there is no per-year download and any year 1940-present is available. Tried before Zenodo; skipped automatically when the optional deps (arraylake/zarr3/icechunk/pcodec) or Arraylake credentials are absent, so the base install is unchanged. scripts/utilities/earthmover_cutout.py swaps atlite's era5 retrieve_data for one that slices the Earthmover store, reusing atlite's feature maths + cutout schema. Wired into acquire_cutout/prepare_cutouts; config + docs added.
Load each (month, box) slice in the main thread instead of a lazy single-chunk, so the full-year tile decompression is released per request rather than coexisting under the synchronous scheduler. Keeps a cutout build within a few GB.
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Staging PR on our fork (NOT yet sent to andrewlyden/PyPSA-GB).
Adds an opt-in cutout tier that builds from the public Arraylake ERA5 dataset (earthmover-public/era5) — reads only the GB box, no ~700 MB download, any year 1940-present. Tried before Zenodo; auto-skipped when the optional deps/credentials are absent (base install unchanged). Validated end-to-end via our overlay tool (built a 2020 GB cutout, 807 MB, full atlite variable set); earthmover-public/era5 confirmed same schema/vars/chunking.
Optional deps: arraylake, zarr>=3, icechunk, pcodec, numcodecs + a free Arraylake account.
Follow-up: propose a native atlite.datasets backend (cleaner than the retrieve_data swap).
Promote upstream when ready: retarget base to andrewlyden/PyPSA-GB:master.