GeoCAT Applications is a community resource inspired by the NCL Applications page.
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Updated
Jun 3, 2024 - Jupyter Notebook
GeoCAT Applications is a community resource inspired by the NCL Applications page.
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-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.
🏴 All my CTF Assets and Writeup's in a single location (Some files excluded cus #gatekeep)
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.
Visualization and postprocessing of the WRF and ERA5 data
Research experiments about video presentation (2D and 360-degree) with sensorial effects.
A Ginga iTV middleware implementation by TeleMídia/PUC-Rio
Tools for National Cyber League Competition
An assortment of python scripts that don't warrant their own repository.
NCL (NCAR Command Language) support for Visual Studio Code
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.
nuclei framework scripts
Write up for a problem I solved for the 2021 Fall NCL. In this problem you were given a PEM file with large sections of the data redacted. The goal was to reconstruct the PEM file using data was not redacted.
Tool for manipulation of Hadgem output to for WRF model
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