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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: 798
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: 194
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An open software platform to train and deploy AI atmospheric prediction model.
lang: Python
stars: 105
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A tool to work in weather radar data in xarray.
lang: Python
stars: 146
last activity:
radis / radis
A fast line-by-line code for high-resolution infrared molecular spectra.
lang: Python
stars: 289
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Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.
lang: Python
stars: 93
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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: 146
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A 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model.
lang: Python
stars: 258
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A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 96
last activity:
A stochastic model of atmosphere dynamics using large scale representation learning.
lang: Python
stars: 44
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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: 21
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: 304
last activity:
A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 10
last activity:
A repository of graph-based neural weather prediction models for Limited Area Modeling.
lang: Python
stars: 306
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: 148
last activity: