Sponsored by
Sort By
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: 293
last activity:
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:
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:
A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.4K
last activity:
A collaboration server to plan atmospheric research flights.
lang: Python
stars: 79
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: 179
last activity:
A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 9
last activity:
Pythonic particle-based warm-rain/aqueous-chemistry cloud microphysics package.
lang: Python
stars: 80
last activity:
A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 90
last activity:
A fast line-by-line code for high-resolution infrared molecular spectra.
lang: Python
stars: 250
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 library of algorithms for meteorological post-processing and verification.
lang: Python
stars: 121
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: 113
last activity:
Data-driven approach for forecasting global weather using graph neural network.
lang: Python
stars: 278
last activity:
A Python package that downloads recent and archived numerical weather prediction model output from different cloud archive sources.
lang: Python
stars: 669
last activity: