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A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.3K
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: 55
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Decode CINRAD (China New Generation Weather Radar) data and visualize.
lang: Python
stars: 396
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A radiative transfer model for the millimeter and sub-millimeter spectral range.
lang: C++
stars: 77
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A collaboration server to plan atmospheric research flights.
lang: Python
stars: 74
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A data model driven interactive toolkit for working with weather radar data.
lang: Python
stars: 559
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The Atmospheric data Community Toolkit is an open source Python toolkit for working with atmospheric time-series datasets of varying dimensions.
lang: Python
stars: 164
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A unique chemistry module that can be implemented in any atmosphere model used at NCAR.
lang: C++
stars: 6
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A repository of graph-based neural weather prediction models for Limited Area Modeling.
lang: Python
stars: 170
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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: 605
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Data-driven approach for forecasting global weather using graph neural network.
lang: Python
stars: 240
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 208
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: 117
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A Julia implementation of Rapid and accurate Radiative Transfer Model for General Circulation Models.
lang: Julia
stars: 61
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: 268
last activity: