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
`bash 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](https://data.ceda.ac.uk/).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for graph_weather-0.0.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c5eccd94288da37a6f8f19fcdac220a85268e338e21eda1e61fa64244d3c2004 |
|
MD5 | bfd52dce7a547713ac11804bc9403f28 |
|
BLAKE2b-256 | 67da193cdee886ff3be61a9c27c883aca0a63d57b6b680188a3ac271fa3fe1b2 |