Py-cordex

This release introduces a cmorization workflow using [`cmor.cmorize_variable`](https://github.com/euro-cordex/py-cordex/blob/master/docs/whats_new.rst#id1) and deprecates some code depending on cartopy. There has also been a lot of refactoring since py-cordex now makes extensive use of [cf-xarray](https://github.com/xarray-contrib/cf-xarray) to make cmorization as easy as possible. This release is used for developing and testing the new [CORDEX cmor tables](https://github.com/WCRP-CORDEX/cordex-cmip6-cmor-tables/tree/main/Tables) for downscaling CMIP6 global model runs. Since the new archive specifications for CORDEX are not fixed yet, the API will probably change in the future. For some examples of cmorization, please visit the [CORDEX cmorization examples notebook](https://wcrp-cordex.github.io/cordex-cmip6-cmor-tables/cmor-examples.html) in the cmor table repository. This version also drops python3.7 support.

Patch release to fix coordinate precisions, also includes some maintenance updates.

This version introduces CORDEX regular grids, they are denoted with an i in the end, e.g., `EUR-11i`. The cmor tables have also been updated to allow for a preliminary cmorization of CORDEX data using CMIP6 cmor tables. However, this is still only used for development since there is no official data request yet for downscaling CMIP6 models. There are also some internal changes, mainly to improve code quality for easier contributions.

See also the [official documentation](https://py-cordex.readthedocs.io/en/stable/whats_new.html).

Patch release to fix vertices issues, imports and dependencies. Also includes `python3.10` support.

Patch release to fix dependencies when `py-cordex` is installed with pip.

This release introduces the cmorization and preprocessing modules. We outsourced some more code that was REMO dependent to be more useful for CORDEX datasets in general. The CORDEX tables are not available for CMIP6 yet, so the tables are only useful for the development of a cmorization workflow. The peprocessing module aims at overcoming CF related inconsistencies in ESGF CORDEX datasets.