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An open international initiative of scientists interested in the advancement of the understanding of the global aerosol and its impact on climate.
lang: Python
stars: 25
last activity:
Data-driven approach for forecasting global weather using graph neural network.
lang: Python
stars: 192
last activity:
A fast line-by-line code for high-resolution infrared molecular spectra.
lang: Python
stars: 214
last activity:
A library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools.
lang: Julia
stars: 82
last activity:
Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.
lang: Python
stars: 60
last activity:
A repository of graph-based neural weather prediction models for Limited Area Modeling.
lang: Python
stars: 130
last activity:
A library of algorithms for meteorological post-processing and verification.
lang: Python
stars: 103
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A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 6
last activity:
An R package to select, download and read climate data from the German Weather Service.
lang: R
stars: 72
last activity:
A stochastic model of atmosphere dynamics using large scale representation learning.
lang: Python
stars: 38
last activity:
A list of public weather stations everyone can edit and share.
lang: Python
stars: 59
last activity:
A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 65
last activity:
A data model driven interactive toolkit for working with weather radar data.
lang: Python
stars: 534
last activity:
A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.3K
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 163
last activity: