GeoCAT Overview¶
What is GeoCAT?¶
Geoscience Community Analysis Toolkit (GeoCAT), established in 2019, leads the software engineering efforts of the National Center for Atmospheric Research (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 Goals¶
Development of data analysis and visualization tools for geoscience research
Scalability
Open development
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).
Some GeoCAT Resources¶
GeoCAT Continuous Integration and Continuous Delivery/Deployment¶
GeoCAT employs a continuous delivery model, with a monthly package release cycle on package management systems and package indexes such as Conda and PyPI.