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Is your feature request related to a problem? Please describe.
I want to be able to handle gridded data in a consistent way. We don't want to support huge datasets i.e. CMIP6 as that would be infeasible to reprocess. Datasets should be less than 1GB, otherwise, other solutions such as zarr should be used.
Datasets that I have in mind:
EDGAR (Monthy/Annual historical grids ~0.1 deg)
Country Masks (Shapefile?) - that might be handled differently as it would have to be rasterised on to a given grid size
Describe the solution you'd like
These data should be able to loaded using xarray for filtering.
See core-api gridded data handler
Chunking?
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
I want to be able to handle gridded data in a consistent way. We don't want to support huge datasets i.e. CMIP6 as that would be infeasible to reprocess. Datasets should be less than 1GB, otherwise, other solutions such as zarr should be used.
Datasets that I have in mind:
Describe the solution you'd like
These data should be able to loaded using xarray for filtering.
See core-api gridded data handler
Chunking?
The text was updated successfully, but these errors were encountered: