Collocation of emep-mscw output with gridded data in a projection

[heikoklein]

Change Summary

• Add ProjectionInformation proj_info to GriddedData, the projection projection-information consist of a projection functions to convert between lat/lon and x/y in the projection, as well as of the dimension-names of the x/y-axes.
• Read ProjectionInformation when reading a variable in mscw-ctm reader and add that to GriddedData
• Collocation, when using the xarray-collocation is now able to convert the observations lat/lon to x/y and perform collocation on x/y values in the projection-plane when reading the gridded-data.
• Make pyproj an explicit dependency (currently only implicit dependency of iris and cartopy)

Related issue number

solves the EMEP4NO part of #1175

Checklist

• Start with a draft-PR
• The PR title is a good summary of the changes
• PR is set to AeroTools and a tentative milestone
• Documentation reflects the changes where applicable
• Tests for the changes exist where applicable
• Tests pass locally
• Tests pass on CI
• At least 1 reviewer is selected
• Make PR ready to review

[codecov]

Codecov Report

Attention: Patch coverage is 83.72093% with 21 lines in your changes missing coverage. Please review.

Project coverage is 79.00%. Comparing base (6ce6156) to head (0f6f744).
Report is 1 commits behind head on main-dev.

Files	Patch %	Lines
pyaerocom/projection_information.py	83.63%	9 Missing ⚠️
pyaerocom/ungriddeddata.py	78.26%	5 Missing ⚠️
pyaerocom/griddeddata.py	83.33%	4 Missing ⚠️
pyaerocom/colocation/colocation_utils.py	84.21%	3 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff              @@
##           main-dev    #1274      +/-   ##
============================================
+ Coverage     78.96%   79.00%   +0.03%     
============================================
  Files           133      134       +1     
  Lines         20596    20700     +104     
============================================
+ Hits          16263    16353      +90     
- Misses         4333     4347      +14     

Flag	Coverage Δ
unittests	79.00% <83.72%> (+0.03%)	⬆️

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[lewisblake]

small changes, looks good