GeoCAT-comp provides implementations of computational functions for operating on geosciences data. Many of these functions originated in NCL and were translated into Python.
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Updated
Dec 23, 2024 - Python
GeoCAT-comp provides implementations of computational functions for operating on geosciences data. Many of these functions originated in NCL and were translated into Python.
GeoCAT-examples provides a gallery of visualization examples demonstrating how to reproduce plots from NCL Applications scripts with packages in Python. It also includes some longer form examples demonstrating how to use functionality from various GeoCAT packages.
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
Visualization and postprocessing of the WRF and ERA5 data
A Ginga iTV middleware implementation by TeleMídia/PUC-Rio
《NCL数据处理与绘图实习教程》源程序库+测试数据链接
GeoCAT-viz contains tools to help plot geoscience data, including convenience and plotting functions that are used to facilitate plotting geosciences data with Matplotlib, Cartopy, and other visualization packages.
nuclei framework scripts
A flexible authoring tool for interactive multimedia applications
A curated list of awesome NCL (Nested Context Language) resources (players, authoring tools, converters, etc.)
NCL (NCAR Command Language) support for Visual Studio Code
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