GCPy is a Python-based toolkit containing useful functions for working specifically with the GEOS-Chem model of atmospheric chemistry and composition.
GCPy aims to build on the well-established scientific Python technical stack, leveraging tools like cartopy and xarray to simplify the task of working with model output and performing atmospheric chemistry analyses.
- Produce plots and tables from GEOS-Chem output using simple function calls.
- Generate the standard evaluation plots and tables from GEOS-Chem benchmark output.
- Obtain GEOS-Chem's horizontal/vertical grid information.
- Implement GCHP-specific regridding functionalities (e.g. cubed-sphere to lat-lon regridding)
- Provide example scripts for creating specific types of plots or analysis from GEOS-Chem output.
- General NetCDF file modification: (crop a domain, extract some variables):
- Use xarray instead.
- Also see our Working with netCDF data files wiki page.
- Statistical analysis:
- Use scipy/scikit-learn tools instead
- Machine Learning:
- Use the standard machine learning utilities (pytorch, tensorflow, julia, etc.)
For more information on installing and using GCPy, visit the official documentation at gcpy.readthedocs.io.
GCPy is distributed under the MIT license. Please read the license documents LICENSE.txt and AUTHORS.txt, which are located in the root folder.
To contact us, please open a new issue on the issue tracker connected to this repository. You can ask a question, report a bug, or request a new feature.