What happened?

I am working with NetCDF files produced from the Model Evaluation Tools (MET).

This feature in xarray v2023.8.0

allows reading of datasets where a dimension name is associated with a multidimensional variable

lets me read the file where the dimension names lat and lon match the coordinate names lat lon (see https://github.com/dtcenter/MET/issues/1246). This is wonderful! Thank you for this 🎉🙌🏻

```python import urllib import xarray as xr

download a sample MET file

urllib.request.urlretrieve( "https://github.com/dtcenter/MET/raw/main_v11.1/data/poly/NCEP_masks/WEST_mask.nc", "WEST_mask.nc", )

open MET file

ds = xr.open_dataset( "WEST_mask.nc", engine="netcdf4", ) ds ```

However, one issue I've run into is that the plotting accessor doesn't seem to work for this case

```python ds.WEST.plot()

OUT: ValueError: coordinate 'lat' is a DataArray dimension, but it has shape (110, 147) rather than expected shape 110 matching the dimension size ```

To overcome this, I had to rename the dims

python ds.rename_dims({"lat": "y", "lon": "x"}).WEST.plot()

What did you expect to happen?

I expected the plot accessor to work without needing to rename the dimensions.

Minimal Complete Verifiable Example

```Python import urllib import xarray as xr

download a sample MET file

urllib.request.urlretrieve( "https://github.com/dtcenter/MET/raw/main_v11.1/data/poly/NCEP_masks/WEST_mask.nc", "WEST_mask.nc", )

ds = xr.open_dataset( "WEST_mask.nc", engine="netcdf4", ) ds.WEST.plot() ```

MVCE confirmation

• [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
• [X] Complete example — the example is self-contained, including all data and the text of any traceback.
• [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
• [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

What happened: I have a script that downloads a file, reads and copies it to memory with ds.copy(deep=True), and then removes the downloaded file from disk. In 0.16.1, I get an error "No such file or directory" when I try to read the data from the deep-copied Dataset as if the Dataset was not actually copied into memory.

What you expected to happen: In 0.16.0 and earlier, the variable data is available (ds.varName.data) after it is copied into memory even after the original file was removed. But this doesn't work anymore in 0.16.1.

Minimal Complete Verifiable Example:

```python import xarray as xr import os import urllib.request

Get sample NetCDF file

url = 'https://www.unidata.ucar.edu/software/netcdf/examples/tos_O1_2001-2002.nc' FILE = 'tos_O1_2001-2002.nc' urllib.request.urlretrieve(url, FILE)

Open the NetCDF file

ds1 = xr.open_dataset(FILE)

Make a copy of the Dataset

ds2 = ds1.copy(deep=True)

and close the original

ds1.close()

remove the NetCDF file

os.remove(FILE)

Read the copied dataset

ds2 ```

Anything else we need to know?: Output for xarray v0.16.0

Output for xarray v0.16.1 FileNotFoundError: [Errno 2] No such file or directory: ...tos_O1_2001-2002.nc'

Environment:

Just updated a conda environment and it installed xarray to 0.15.1. I was a bit lost with the new html output because it does not work when Jupyter is running in an Edge browser (not the chromium version). After I switched to Chrome I figured out that the html output was clickable and expanded the data I needed to see.

Display in the Edge browser: sections do not expand when clicked

Display in the Chrome browser: sections expand when clicked

The text output is so engrained in my programming muscle memory, but I want to try this new html output...Can you add some documentation describing how to use the html output, especially details like browser requirements, what the display should look like, etc.