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/4122#issuecomment-1453901550,https://api.github.com/repos/pydata/xarray/issues/4122,1453901550,IC_kwDOAMm_X85WqMbu,34686298,2023-03-03T18:03:49Z,2023-03-03T18:03:49Z,NONE,"> I never needed to specify an engine when writing, you only need it when reading the file. I use the `engine=""scipy""` one for reading.

using `engine=""scipy""` worked - thank you","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856
https://github.com/pydata/xarray/issues/4122#issuecomment-1453899322,https://api.github.com/repos/pydata/xarray/issues/4122,1453899322,IC_kwDOAMm_X85WqL46,34686298,2023-03-03T18:02:04Z,2023-03-03T18:02:04Z,NONE,"> > I use the engine=""scipy"" one for reading.
> 
> This is netCDF3, in that case. If that's fine for you, no problem.

What do you mean this is `netcdf3`?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856
https://github.com/pydata/xarray/issues/4122#issuecomment-1453562756,https://api.github.com/repos/pydata/xarray/issues/4122,1453562756,IC_kwDOAMm_X85Wo5uE,34686298,2023-03-03T13:52:08Z,2023-03-03T17:48:15Z,NONE,"> Maybe it is netCDF3? xarray is supposed to be able to determine the file type
> 
> ```
> with fsspec.open(""s3://some_bucket/some_remote_destination.nc"", mode=""rb"") as ff:
> 	ds = xr.open_dataset(ff)
> ```
> 
> but maybe play with the engine= argument.

Thanks, i tried to make sure it was `engine=h5netcdf` when saving, but not sure this worked","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856
https://github.com/pydata/xarray/issues/4122#issuecomment-1453883439,https://api.github.com/repos/pydata/xarray/issues/4122,1453883439,IC_kwDOAMm_X85WqIAv,34686298,2023-03-03T17:47:43Z,2023-03-03T17:47:43Z,NONE,"It could be here's some running notes of mine - https://github.com/openclimatefix/MetOfficeDataHub/issues/65

The same method is 
```python
with fsspec.open(""simplecache::s3://nowcasting-nwp-development/data/test.netcdf"", mode=""wb"") as f:
    dataset.to_netcdf(f,engine='h5netcdf')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856
https://github.com/pydata/xarray/issues/4122#issuecomment-1453553088,https://api.github.com/repos/pydata/xarray/issues/4122,1453553088,IC_kwDOAMm_X85Wo3XA,34686298,2023-03-03T13:43:58Z,2023-03-03T13:45:59Z,NONE,"> What didn't work:
> 
> ```python
> f = fsspec.filesystem(""s3"", anon=False)
> with f.open(""some_bucket/some_remote_destination.nc"", mode=""wb"") as ff:
> 	xr.open_dataset(""some_local_file.nc"").to_netcdf(ff)
> ```
> 
> this results in a `OSError: [Errno 29] Seek only available in read mode` exception
> 
> Changing the above to
> 
> ```python
> with fsspec.open(""simplecache::s3://some_bucket/some_remote_destination.nc"", mode=""wb"") as ff:
> 	xr.open_dataset(""some_local_file.nc"").to_netcdf(ff)
> ```
> 
> fixed it.

How would you go about reading this file? Once it is saved in s3

Im currently getting an error
```
ValueError: b'CDF\x02\x00\x00\x00\x00' is not the signature of a valid netCDF4 file
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856
https://github.com/pydata/xarray/issues/7354#issuecomment-1352938631,https://api.github.com/repos/pydata/xarray/issues/7354,1352938631,IC_kwDOAMm_X85QpDSH,34686298,2022-12-15T11:41:21Z,2022-12-15T11:41:21Z,NONE,Thanks @jhamman for looking into this. I'll try your suggestions,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1474785646
https://github.com/pydata/xarray/issues/7354#issuecomment-1346141641,https://api.github.com/repos/pydata/xarray/issues/7354,1346141641,IC_kwDOAMm_X85QPH3J,34686298,2022-12-12T09:16:44Z,2022-12-12T09:16:44Z,NONE,"> @peterdudfield - have you tried this workflow with the latest version of xarray (`2022.12.0`)?

Yea the same bug appeared. So this appears at `2022.6.0` and onwards. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1474785646