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A Python package for identifiying, tracking and analysing of clouds and other meteorological phenomena in different types of gridded datasets.
lang: Python
stars: 101
last activity:
A repository of graph-based neural weather prediction models for Limited Area Modeling.
lang: Python
stars: 130
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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A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 65
last activity:
A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 6
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:
A collaboration server to plan atmospheric research flights.
lang: Python
stars: 61
last activity:
Decode CINRAD (China New Generation Weather Radar) data and visualize.
lang: Python
stars: 371
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 neural network that forecasts precipitation up to 8 hours into the future at the high spatial resolution of 1 km² and at the temporal resolution of 2 minutes with a latency in the order of second.
lang: Python
stars: 217
last activity:
An implementation of the FV3GFS / SHiELD atmospheric model developed by NOAA/GFDL using the NDSL middleware in Python, itself based on GT4Py and DaCe.
lang: Python
stars: 15
last activity:
An R package to select, download and read climate data from the German Weather Service.
lang: R
stars: 72
last activity:
Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.
lang: Python
stars: 60
last activity:
Deutscher Wetterdienst integration for Home-Assistant.
lang: Python
stars: 204
last activity: