Resources#
GeoCAT#
The Geoscience Community Analysis Toolkit (GeoCAT) team at NSF NCAR develops and contributes to resources and tools for geoscience data analysis and visualization. Below are several of the projects they support.
GeoCAT-comp#
GeoCAT-comp provides implementations of computational functions for operating on geoscience data. Many of these functions are inspired by functionality in NCL.
GeoCAT-viz#
GeoCAT-viz contains tools to aid in visualizing geoscience data, including convenience and plotting functions that are used to facilitate plotting with Matplotlib, Cartopy, and other visualization packages.
GeoCAT-examples#
GeoCAT-examples provides a gallery of analysis and visualization examples replicating in Python the functionality and visualizations from example scripts on NCL Applications page.
UXarray#
The GeoCAT team also leads the software development efforts of Project Raijin, implementing the UXarray package in collaboration with other academic and research partners. UXarray strives to provide Xarray-like functionality for working with data on unstructured grids.
Project Pythia#
Want to learn more about using Python, GitHub, or Jupyter Notebooks for Earth system data science? Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality. Check out Project Pythia tutorials, examples, and other training materials here. Project Pythia shares several contributors with the ESDS community and is a resource we highly recommend.
Zen of Scientific Computing#
A group of researchers and software engineers put together a helpful guide for developing scientific software, detailing the nuances of working Python stacks and the difference between daily use cases and more foundational libraries.
NSF NCAR HPC Best Practices#
If you are using NSF NCAR Computational and Information Systems Lab (CISL) resources such as Casper and Derecho, this is a great place to start with learning to make the most of your computing and storage allocations.