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openclimatefix-models/cloudcasting_uk

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Model Card

Cloudcasting

Model Description

<!-- Provide a longer summary of what this model is/does. --> This model is trained to predict future frames of satellite data from past frames. It takes 3 hours of recent satellkite imagery at 15 minute intervals and predicts 3 hours into the future also at 15 minute intervals. The satellite inputs and predictions are multispectral with 11 channels.

See [1] for the repo used to train the model.

  • —Developed by: Open Climate Fix and the Alan Turing Institute
  • —License: mit

Training Details

Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> This was trained on EUMETSAT satellite imagery derived from the data stored in this google public dataset.

The data was processed using the protocol in [2]

Results

The training logs for the current model can be found here:

  • —https://wandb.ai/openclimatefix/sat_pred/runs/xlq6w7qj

Software

  • —[1] https://github.com/openclimatefix/sat_pred
  • —[2] https://github.com/alan-turing-institute/cloudcasting