try using netcdf4 wheel

setup.cfg

@@ -23,6 +23,7 @@ collect_ignore =
 	setup.py
 addopts =
 	--color=yes
+    --cov
 	--verbose
 	--numprocesses=auto
 	--maxprocesses=6

tox.ini

@@ -37,17 +37,14 @@ deps =
 commands =
     # Install the latest NumPy and Numba before GDAL and netCDF4 are installed
     numpy: python -m pip install --upgrade --force-reinstall --no-cache-dir numpy==1.23 numba
-    # Install NetCDF4-Python via source files
-    # Pin @v1.6.0 needed due to issue with PyPI wheels (see: https://github.com/Unidata/netcdf4-python/issues/1192)
-    python -m pip install --upgrade --force-reinstall --no-deps --no-cache-dir netcdf4==1.6.2 --no-binary netcdf4
     # Deal with some GDAL silliness
     python -m pip install --upgrade --force-reinstall --no-deps --no-cache-dir GDAL=={env:GDAL_VERSION} --global-option=build_ext --global-option="-I/usr/include/gdal"
     # Pin @ <v65.6 due to incompatibility with numpy (see: https://github.com/numpy/numpy/issues/22623)
     python -m pip install --upgrade --force-reinstall --no-deps --no-cache-dir setuptools<65.6
     # Install the Raven and Ostrich binaries
     python -m pip install --no-user --verbose --no-deps --no-cache-dir . --install-option="--with-binaries"
     # Run tests
-    pytest --cov
+    pytest
     # Coveralls requires access to a repo token set in .coveralls.yml in order to report stats
     - coveralls --service=github
 allowlist_externals =