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A collection of modeling software, tools, and grids, that allow for robust modeling of chemistry in Earth's atmosphere.
lang: Jupyter Notebook
stars: 18
last activity:
A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.4K
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: 134
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: 294
last activity:
A collaboration server to plan atmospheric research flights.
lang: Python
stars: 79
last activity:
A 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model.
lang: Python
stars: 209
last activity:
A stochastic model of atmosphere dynamics using large scale representation learning.
lang: Python
stars: 45
last activity:
This package makes it easier to search for and download multiple months/years of historical weather data from the Environment and Climate Change Canada (ECCC) website.
lang: R
stars: 117
last activity:
radis / radis
A fast line-by-line code for high-resolution infrared molecular spectra.
lang: Python
stars: 250
last activity:
A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 92
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: 116
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: 22
last activity:
Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 244
last activity:
Data-driven approach for forecasting global weather using graph neural network.
lang: Python
stars: 278
last activity:
A library of algorithms for meteorological post-processing and verification.
lang: Python
stars: 123
last activity: