html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6879#issuecomment-1206361835,https://api.github.com/repos/pydata/xarray/issues/6879,1206361835,IC_kwDOAMm_X85H557r,12760310,2022-08-05T11:53:15Z,2022-08-05T11:53:30Z,NONE,"> Thanks for the issue.
> 
> I would claim that this is the correct broadcasting behavior.
> 
> You could obtain your required result using
> 
> ```python
> ds_mask = xr.Dataset({""t_2m_min_anom"": mask, ""t_2m_min_anom_stations"": True})
> data.where(ds_mask)
> ```

Hey, thanks for the workaround.
However, I'm still not convinced that this is the ""correct"" behaviour.
If `mask` has as explicit coodinates `lat` and `lon` it should only be applied to variables that have these coordinates.

What is the use case in enlarging the 1-D array to a 3-D array with coordinates that it didn't have before?
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