metnet
Weather forecasting model
An implementation of Google Research's MetNet and MetNet-2 weather forecasting models using PyTorch.
PyTorch Implementation of Google Research's MetNet and MetNet-2
245 stars
7 watching
51 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
pytorch
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
| openclimatefix/graph_weather | An implementation of a forecasting model using graph neural networks to predict global weather patterns. | 209 |
| openclimatefix/open-source-quartz-solar-forecast | Provides an open-source solar forecast tool using weather prediction models | 71 |
 metno/pyaerocom | Tools for evaluating climate and air quality models using Earth observation data | 26 |
 openclimatedata/pyhector | Provides a Python interface to a simple global climate model | 43 |
 openscm/pymagicc | A Python wrapper around a climate model allowing users to simulate and analyze climate change scenarios | 43 |
 ncpp/ocgis | A Python package for geospatial manipulation and analysis of climate datasets stored in various formats | 70 |
 yaleopenlab/openclimate-demo | Developing an interoperable platform for reconciling climate records from different data sources. | 58 |
 noaa-gfdl/pace | An atmospheric model implementation in Python | 15 |
| openclimatefix/quartz-frontend | An application for predicting solar electricity generation using machine learning and satellite imagery | 103 |
 timduly4/pyglow | Provides an interface to upper atmospheric models and indices in Python | 104 |
 eliocamp/metr | Tools for easier analysis of meteorological fields | 144 |
 ai2cm/pace | An implementation of the FV3GFS / SHiELD atmospheric model in Python | 37 |
 meteostat/meteostat-python | Accesses and analyzes historical weather data from various sources | 445 |
| ai2cm/ace | A Python-based tool for emulating climate models and predicting atmospheric conditions | 61 |
 hfailab/opencastkit | An open-source framework for training and using global weather forecasting models inspired by FourCastNet and GraphCast. | 307 |