
This repository features a PyTorch implementation of Google Research's MetNet and MetNet-2, which are advanced deep learning models designed for weather forecasting. The project provides the necessary code and resources for users to experiment with and deploy these models, focusing on their application in meteorological prediction.
The MetNet models are known for their ability to process diverse geospatial and temporal weather data to generate highly accurate forecasts. This open-source initiative by Open Climate Fix aims to democratize access to cutting-edge weather prediction technology, fostering further research and development in climate and atmospheric sciences.
Users can find the codebase for integrating these models into their own machine learning workflows, contributing to more robust and data-driven approaches to understanding and predicting weather patterns.
Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.
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