issue_comments: 790936823

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https://github.com/pydata/xarray/pull/4979#issuecomment-790936823 https://api.github.com/repos/pydata/xarray/issues/4979 790936823 MDEyOklzc3VlQ29tbWVudDc5MDkzNjgyMw== 8699967 2021-03-04T20:58:29Z 2021-03-04T20:58:29Z CONTRIBUTOR

For reference for how rioxarray does things: https://corteva.github.io/rioxarray/stable/getting_started/crs_management.html

```

import xarray, rioxarray xda = xarray.DataArray(1) xda.rio.write_crs(4326, inplace=True) <xarray.DataArray ()> array(1) Coordinates: spatial_ref int64 0 Attributes: grid_mapping: spatial_ref xda.spatial_ref <xarray.DataArray 'spatial_ref' ()> array(0) Coordinates: spatial_ref int64 0 Attributes: crs_wkt: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["... semi_major_axis: 6378137.0 semi_minor_axis: 6356752.314245179 inverse_flattening: 298.257223563 reference_ellipsoid_name: WGS 84 longitude_of_prime_meridian: 0.0 prime_meridian_name: Greenwich geographic_crs_name: WGS 84 grid_mapping_name: latitude_longitude spatial_ref: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["... ```

 
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