MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
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Updated
May 2, 2024 - Python
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
Idealized GCM from the University of Exeter
Tools for Easier Analysis of Meteorological Fields
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
Python scripts for atmospheric science written during grad school at the University of Utah (Python 3)
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
Cubic B-Spline implementation in C++ templates
Python for Atmosphere and Ocean Scientists
Repository of examples showing off the use of Python for meteorology.
Install WRF with required libraries
A Planetary Intensity Code for Atmospheric Spectroscopy Observations
Tools for atmospheric research
The Atmospheric Radiative Transfer Simulator
Repo for materials associated with the Online Python Training (OPT) project
📈 Series of workshops and lectures using Python in the climate/atmospheric sciences 📉
Visualization and postprocessing of the WRF and ERA5 data
Stochastic Time-Inverted Lagrangian Transport model
🌀 The Weather Research and Forecasting (WRF) model with CMake support
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