Problem

When directories contain unicode chars, ds.to_netcdf() works, but xr.open_dataset() fails with a FileNotFoundError:

Code

```python import numpy as np import xarray as xr from pathlib import Path

da = xr.DataArray(np.random.rand(2,3,3), coords=[('x', range(2)), ('y', range(3)), ('z', range(3))]) ds = xr.Dataset({'foo': da})

p = Path('test_λ850') / 'data.nc' p.parent.mkdir() ds.to_netcdf(p) # Successful file creation

ds.to_netcdf(str(p)) # also works just fine.

dsl = xr.open_dataset(p) # ERROR: as shown below

with xr.open_dataset(p) as dsl: # ERROR

pass

dsl = xr.open_dataset(str(p)) # ERROR

```

Returning error:

```

dsl = xr.open_dataset(p) Traceback (most recent call last): File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\file_manager.py", line 199, in _acquire_with_cache_info file = self._cache[self._key] File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\lru_cache.py", line 53, in getitem value = self._cache[key] KeyError: [<class 'netCDF4._netCDF4.Dataset'>, ('C:\Users\<USER>\Documents\Projects\Jupyter\test_λ850\data.nc',), 'r', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False))]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\api.py", line 501, in open_dataset backend_ds = backend.open_dataset( File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\netCDF4_.py", line 547, in open_dataset store = NetCDF4DataStore.open( File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\netCDF4_.py", line 379, in open return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose) File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\netCDF4_.py", line 327, in init self.format = self.ds.data_model File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\netCDF4_.py", line 388, in ds return self.acquire() File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\netCDF4.py", line 382, in acquire with self._manager.acquire_context(needs_lock) as root: File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\contextlib.py", line 117, in __enter__ return next(self.gen) File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\file_manager.py", line 187, in acquire_context file, cached = self._acquire_with_cache_info(needs_lock) File "C:\Users\<USER>\Miniconda3\envs\jupyter\lib\site-packages\xarray\backends\file_manager.py", line 205, in _acquire_with_cache_info file = self._opener(self._args, *kwargs) File "src\netCDF4_netCDF4.pyx", line 2307, in netCDF4._netCDF4.Dataset.init File "src\netCDF4_netCDF4.pyx", line 1925, in netCDF4._netCDF4._ensure_nc_success FileNotFoundError: [Errno 2] No such file or directory: b'C:\Users\<USER>\Documents\Projects\Jupyter\test\xce\xbb850\data.nc' ```

Environment

Output of <tt>xr.show_versions()</tt>

INSTALLED VERSIONS ------------------ commit: None python: 3.9.1 (default, Dec 11 2020, 09:29:25) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: English_United States.1252 libhdf5: 1.10.6 libnetcdf: 4.6.1 xarray: 0.18.0 pandas: 1.2.1 numpy: 1.20.2 scipy: 1.6.2 netCDF4: 1.5.7 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.5.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.3.2 cartopy: None seaborn: None numbagg: None pint: None setuptools: 52.0.0.post20210125 pip: 21.1.1 conda: None pytest: None IPython: 7.19.0 sphinx: None

(One note is that I am using miniconda. The conda: None line in the env must only check for the big version.)