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/4043#issuecomment-627326097,https://api.github.com/repos/pydata/xarray/issues/4043,627326097,MDEyOklzc3VlQ29tbWVudDYyNzMyNjA5Nw==,950575,2020-05-12T12:58:16Z,2020-05-12T12:58:16Z,CONTRIBUTOR,"I installed xarray through the recommended command in the official website in my minicoda env some months-year ago

That is probably it then. I see you have `libnetcdf 4.6.2`, if you recreate that env you should get `libnetcdf 4.7.4`. Can you try it with a new clean env:

```shell
conda create --name TEST --channel conda-forge xarray dask netCDF4 bottleneck
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614144170
https://github.com/pydata/xarray/issues/4043#issuecomment-625426383,https://api.github.com/repos/pydata/xarray/issues/4043,625426383,MDEyOklzc3VlQ29tbWVudDYyNTQyNjM4Mw==,950575,2020-05-07T18:35:20Z,2020-05-07T18:35:20Z,CONTRIBUTOR,"How are you installing `netcdf4`? There was a problem with the underlying `libetcdf` some time ago that caused access failures like that. You can try upgrading it or using another backend, like `pydap`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,614144170