Cloudcasting

Model Description

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 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:

Software

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Model size
14M params
Tensor type
F32
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