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Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.
lang: Python
stars: 80
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: 20
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Builds on the successful work of WeatherBench and introduces a set of high-impact weather events, spanning across multiple spatial and temporal scales and different parts of the weather spectrum.
lang: Python
stars: 70
last activity:
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: 31
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: 276
last activity:
A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 6
last activity:
A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 84
last activity:
A collaboration server to plan atmospheric research flights.
lang: Python
stars: 73
last activity:
A Python package for identifiying, tracking and analysing of clouds and other meteorological phenomena in different types of gridded datasets.
lang: Python
stars: 123
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A Python package that downloads recent and archived numerical weather prediction model output from different cloud archive sources.
lang: Python
stars: 640
last activity:
The Atmospheric data Community Toolkit is an open source Python toolkit for working with atmospheric time-series datasets of varying dimensions.
lang: Python
stars: 169
last activity:
A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.4K
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A library of algorithms for meteorological post-processing and verification.
lang: Python
stars: 116
last activity:
A machine learning-based Earth system models that is trained on a wide range of datasets, including reanalyses, forecast data and observations, to provide a robust and versatile model for the dynamics.
lang: Python
stars: 76
last activity:
Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 211
last activity: