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When installing the new version of xarray I got the following error:

/usr/local/Caskroom/miniconda/base/envs/sst_env/bin/python /Users/brivas/ORCHESTRA_sst/sst_differences.py
{'long_name': 'analysed sea surface temperature', 'standard_name': 'sea_water_temperature', 'units': 'kelvin', 'description': 'CCI-SST interpolated to ICOADS drifting buoy location and averaged on a 1.0 degree resolution cell'}
Traceback (most recent call last):
  File "/Users/brivas/ORCHESTRA_sst/sst_differences.py", line 52, in <module>
    grid_boxes_with_data = xr.apply_ufunc(non_zero_data,
  File "/usr/local/Caskroom/miniconda/base/envs/sst_env/lib/python3.8/site-packages/xarray/core/computation.py", line 1174, in apply_ufunc
    return apply_dataarray_vfunc(
  File "/usr/local/Caskroom/miniconda/base/envs/sst_env/lib/python3.8/site-packages/xarray/core/computation.py", line 293, in apply_dataarray_vfunc
    result_var = func(*data_vars)
  File "/usr/local/Caskroom/miniconda/base/envs/sst_env/lib/python3.8/site-packages/xarray/core/computation.py", line 767, in apply_variable_ufunc
    raise ValueError(
ValueError: applied function returned data with unexpected number of dimensions. Received 0 dimension(s) but expected 1 dimensions with names: ('time',)

According to stackoverflow this is because the new version of the xarray.apply_ufunc requires the latitudes to be sorted in an ascending way.

see the following xarray documentation and blog post link.

This issue is not a problem in xarray version 0.16.0

The error can be fix by sorting the latitudes first here and than running the xr.apply_ufunc()

See lines L49 onwards