Welcome

Geoscience Community Analysis Toolkit (GeoCAT), established in 2019, leads the software engineering efforts of the NSF National Center for Atmospheric Research (NSF NCAR) Computational and Information Systems Lab (CISL)’s “Pivot to Python” initiative. Support for GeoCAT is provided by the U.S. National Science Foundation.

GeoCAT essentially aims at creating scalable data analysis and visualization tools for Earth System Science data to serve the geosciences community in the scientific Python ecosystem. GeoCAT tools are built upon the cornerstone technologies in the Pangeo stack such as Xarray, Dask, and Jupyter Notebooks. Novel research and development is conducted for analyzing/visualizing structured as well as unstructured grid data from various research fields such as climate, weather, atmosphere, ocean, etc. In addition, some of the functionalities in the GeoCAT stack are inspired/reimplemented from NCL (NCAR Command Language).

The GeoCAT team is committed to open development, which prioritizes community involvement at any level of the project lifecycle, from requirements and specification to testing and deployment, alongside having the whole software stack open-sourced.

Visit the GeoCAT Development Blog to read about our latest development progress.