issue_comments: 702018925

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https://github.com/pydata/xarray/issues/4471#issuecomment-702018925 https://api.github.com/repos/pydata/xarray/issues/4471 702018925 MDEyOklzc3VlQ29tbWVudDcwMjAxODkyNQ== 500246 2020-10-01T09:42:35Z 2020-10-01T09:42:35Z CONTRIBUTOR

Some further digging shows it's due to differences between the h5netcdf and netcdf4 backends:

python import xarray fn = "/data/gholl/cache/fogtools/abi/2017/03/14/20/06/7/OR_ABI-L1b-RadF-M3C07_G16_s20170732006100_e20170732016478_c20170732016514.nc" with xarray.open_dataset(fn, decode_cf=False, mask_and_scale=False, engine="netcdf4") as ds: print(ds["esun"].attrs["_FillValue"]) print(ds["Rad"].attrs["scale_factor"]) with xarray.open_dataset(fn, decode_cf=False, mask_and_scale=False, engine="h5netcdf") as ds: print(ds["esun"].attrs["_FillValue"]) print(ds["Rad"].attrs["scale_factor"])

Results in:

-999.0 0.001564351 [-999.] [0.00156435]

 
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