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GCPy: Python toolkit for GEOS-Chem

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.

What GCPy was intended to do:

  1. Generate the standard evaluation plots from GEOS-Chem benchmark output.
  2. Obtain GEOS-Chem's horizontal/vertical grid information.
  3. Implement GCHP-specific regridding functionalities (e.g. cubed-sphere to lat-lon regridding)
  4. Provide example scripts for creating specific types of plots or analysis from GEOS-Chem output.

What GCPY was not intended to do:

  1. NetCDF file modification: (crop a domain, extract some variables):
  2. Simple plotting on lat-lon grids:
  3. Statistical analysis:
  4. Machine Learning:

Requirements:

GCPy is built on top of Python 3 and the scientific Python / NumPy stack, including

To create an environment for working with GCPy, we recommend using the Anaconda Python distribution or curating your own virtualenv or conda environment. Please see gcpy/environment/environment.yml for an example.

Installation

At the moment, the easiest way to install GCPy is directly from our GitHub repository.

$ git clone https://github.com/geoschem/gcpy.git gcpy

Currently, GCPy is not available via conda-forge or PyPI, but we anticipate posting early versions of the package to those resources eventually.

License

GCPy is distributed under the MIT license. Please read the license documents LICENSE.txt and AUTHORS.txt, which are located in the root folder.

Contact

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.

gcpy's People

Contributors

jiaweizhuang avatar jmoch1214 avatar liambindle avatar lizziel avatar msulprizio avatar sdeastham avatar yantosca avatar

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