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  • shoyer · 1 ✖

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  • Unable to load multiple WRF NetCDF files into Dask array on pangeo · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
797211009 https://github.com/pydata/xarray/issues/5023#issuecomment-797211009 https://api.github.com/repos/pydata/xarray/issues/5023 MDEyOklzc3VlQ29tbWVudDc5NzIxMTAwOQ== shoyer 1217238 2021-03-12T03:32:49Z 2021-03-12T03:32:49Z MEMBER

I suspect there is at least one netCDF file with inconsistent metadata, e.g., without a Time dimension. If you can find and fix that dataset (or otherwise deal with it in whatever special way is required), then that would resolve the issue. In my experience, looping through files (rather than using open_mfdataset) is definitely helpful in this regard because you can verify that each file has the expected metadata.

The only reason why I can imagine this behavior might be different in GCP rather than on your workstation would be if you are using inconsistent package version.

Note: In general, for multi-file netCDF -> Zarr workflows you might check out pangeo-forge: https://github.com/pangeo-forge/pangeo-forge

 
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   Unable to load multiple WRF NetCDF files into Dask array on pangeo 829426650

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