MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
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Updated
Aug 5, 2024 - Python
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Idealized GCM from the University of Exeter
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
Python for Atmosphere and Ocean Scientists
A Planetary Intensity Code for Atmospheric Spectroscopy Observations
Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences at UMBC
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
Install WRF with required libraries
Python Library for working with disdrometer data.
Tools for atmospheric research
Python scripts for atmospheric science written during grad school at the University of Utah (Python 3)
Repository of examples showing off the use of Python for meteorology.
The Atmospheric Radiative Transfer Simulator
The "superproject" wrapper repository for GCHP, the high-performance instance of the GEOS-Chem chemical-transport model.
Tools for Easier Analysis of Meteorological Fields
Cubic B-Spline implementation in C++ templates
Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation
Repo for materials associated with the Online Python Training (OPT) project
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