MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
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Updated
May 29, 2024 - Python
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Decode CINRAD (China New Generation Weather Radar) data and visualize.
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
Tools for air quality data analysis
Sounding/Hodograph Analysis and Research Program in Python
MeteoInfo: GIS, scientific computation and visualization environment.
IMPROVER is a library of algorithms for meteorological post-processing.
A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes
Notebooks teaching Python for use meteorology and atmospheric and climate sciences.
Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.
📚 Library of psychrometric functions to calculate 🌡️ thermodynamic properties of air for Python, C, C#, Fortran, R, JavaScript and VBA/Excel
A Curated List of Python Resources for Earth Sciences
Open weather data for humans.
Meteorology Simulator
This is the new home for the development of zyGrib
Climate Data Science and Earth Observation with Python.
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
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