Metadata-Version: 2.1
Name: graph-weather
Version: 0.0.1
Summary: Weather Forecasting with Graph Neural Networks
Home-page: https://github.com/openclimatefix/graph_weather
Author: Jacob Bieker
Author-email: jacob@openclimatefix.org
License: MIT License
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
License-File: LICENSE

# 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/).

