#python #weather #weather_forecast
This package provides tools and pretrained models for predicting weather using AI, specifically the GenCast and GraphCast models. It includes example code, pretrained model weights, and data preprocessing utilities. You can use these models to make accurate medium-range weather forecasts. The package offers different resolution models, some of which can be run on lower-memory systems, making it accessible for various users. To get started, you can use the provided Colab notebooks to load data, generate predictions, and compute losses. This helps you forecast weather more accurately and efficiently, which is beneficial for researchers, meteorologists, and anyone needing reliable weather predictions.
https://github.com/google-deepmind/graphcast
This package provides tools and pretrained models for predicting weather using AI, specifically the GenCast and GraphCast models. It includes example code, pretrained model weights, and data preprocessing utilities. You can use these models to make accurate medium-range weather forecasts. The package offers different resolution models, some of which can be run on lower-memory systems, making it accessible for various users. To get started, you can use the provided Colab notebooks to load data, generate predictions, and compute losses. This helps you forecast weather more accurately and efficiently, which is beneficial for researchers, meteorologists, and anyone needing reliable weather predictions.
https://github.com/google-deepmind/graphcast
GitHub
GitHub - google-deepmind/graphcast
Contribute to google-deepmind/graphcast development by creating an account on GitHub.