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-1453906696,https://api.github.com/repos/pydata/xarray/issues/4122,1453906696,IC_kwDOAMm_X85WqNsI,44142765,2023-03-03T18:08:07Z,2023-03-03T18:08:07Z,NONE,"Based on the docs

> The default format is NETCDF4 if you are saving a file to disk and have the netCDF4-python library available. Otherwise, xarray falls back to using scipy to write netCDF files and defaults to the NETCDF3_64BIT format (scipy does not support netCDF4).

It appears scipy engine is safe is one does not need to be bothered with specifying engines.By the way, what are the limitations of the `netcdf3` standard vs `netcdf4`?","{""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-1453897364,https://api.github.com/repos/pydata/xarray/issues/4122,1453897364,IC_kwDOAMm_X85WqLaU,44142765,2023-03-03T18:00:33Z,2023-03-03T18:00:33Z,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.","{""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-1401040677,https://api.github.com/repos/pydata/xarray/issues/4122,1401040677,IC_kwDOAMm_X85Tgi8l,44142765,2023-01-23T21:49:46Z,2023-01-23T21:52:29Z,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.","{""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-1400564474,https://api.github.com/repos/pydata/xarray/issues/4122,1400564474,IC_kwDOAMm_X85Teur6,44142765,2023-01-23T15:44:20Z,2023-01-23T15:44:20Z,NONE,"> '/silt/usgs/Projects/stellwagen/CF-1.6/BUZZ_BAY/2651-A.cdf')
> outfile = fsspec.open('simpl

Thanks, this actually worked for me. It seems as though initializing an s3 store using `fs = fsspec.S3FileSystem(...)` beforehand and using it as a context manager via `with fs.open(...) as out: data.to_netcdf(out)` caused the failure.","{""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-1400519887,https://api.github.com/repos/pydata/xarray/issues/4122,1400519887,IC_kwDOAMm_X85TejzP,44142765,2023-01-23T15:16:21Z,2023-01-23T15:16:21Z,NONE,Is there any reliable to use to write a xr.Dataset object as a netcdf file in 2023? I tried using the above approach with `fsspec` but I keep getting a `OSError: [Errno 29] Seek only available in read mode` exception.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,631085856