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/1646#issuecomment-1094074423,https://api.github.com/repos/pydata/xarray/issues/1646,1094074423,IC_kwDOAMm_X85BNkA3,5635139,2022-04-09T16:00:29Z,2022-04-09T16:00:29Z,MEMBER,"One option here would be to take the name of the dataarray iff the dim name is `dim_0`. While I'm not a great fan of breaking that abstraction and hardcoding exceptions, it does solve the case quite well: ```python In [7]: xr.concat([da,da], xr.DataArray(['x', 'y'], name='stat')) Out[7]: array([[[[241.2 , 242.5 , 243.5 , ..., 232.79999, 235.5 , 238.59999], [243.79999, 244.5 , 244.7 , ..., 232.79999, 235.29999, 295.19 ], [297.69 , 298.09 , 298.09 , ..., 296.49 , 296.19 , 295.69 ]]]], dtype=float32) Coordinates: * lat (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0 * lon (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0 * time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00 * dim_0 (dim_0)