metadata
language: en
license: mit
library_name: pytorch
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: