Skip to main content

Weather Forecasting with Graph Neural Networks

Project description

Graph Weather

Implementation of the Graph Weather paper (https://arxiv.org/pdf/2202.07575.pdf) in PyTorch.

Installation

This library can be installed through

pip install graph-weather

Pretrained Weights

Coming soon! We plan to train a model on GFS 0.25 degree operational forecasts, as well as MetOffice NWP forecasts. We also plan trying out adaptive meshes, and predicting future satellite imagery as well.

Training Data

Training data will be available through HuggingFace Datasets for the GFS forecasts. MetOffice NWP forecasts we cannot redistribute, but can be accessed through CEDA.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graph_weather-0.0.6.tar.gz (2.8 kB view hashes)

Uploaded Source

Built Distribution

graph_weather-0.0.6-py3-none-any.whl (3.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page