Orhan Eroglu
National Center for Atmospheric Research

Anissa Zacharias
National Center for Atmospheric Research

Michaela Sizemore
National Center for Atmospheric Research

Alea Kootz
National Center for Atmospheric Research

Heather Craker
National Center for Atmospheric Research

John Clyne
National Center for Atmospheric Research

Abstract

The Geoscience Community Analysis Toolkit (GeoCAT) team develops and maintains data analysis and visualization tools on structured and unstructured grids for the geosciences community in the Scientific Python Ecosystem (SPE). In response to dealing with increasing geoscientific data sizes, GeoCAT prioritizes scalability, ensuring its implementations are scalable from personal laptops to HPC clusters. Another major goal of the GeoCAT team is to ensure community involvement throughout the whole project lifecycle, which is realized through an open development mindset by encouraging users and contributors to get involved in decision-making. With this model, we not only have our project stack open-sourced but also ensure most of the project assets that are directly related to the software development lifecycle are publicly accessible.

Keywords

data analysis, geocat, geoscience, open development, open source, scalability, visualization

DOI

10.25080/majora-212e5952-01c

Bibtex entry

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Copyright © 2022 Orhan Eroglu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.