hchen19 / diffusion_weather

Testing out Diffusion-based models for weather and PV forecasting

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Diffusion Weather

Installation

This library can be installed through

pip install diffusion-weather

Example Usage

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. The initial set of data is available for GFSv16 forecasts, raw observations, and FNL Analysis files from 2016 to 2022, and for ERA5 Reanlaysis. MetOffice NWP forecasts we cannot redistribute, but can be accessed through CEDA.

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Testing out Diffusion-based models for weather and PV forecasting

License:MIT License


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