Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0
Published in arXiv preprint arXiv:2509.17658, 2025
FastNet is a graph neural network (GNN) based machine learning weather prediction model developed jointly by The Alan Turing Institute and the Met Office. This report describes its architecture, training and evaluation for global weather forecasting.
Recommended citation: E. G. Daub, T. Dunstan, T. Bennett, ..., N. Eftekhari, et al., "Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0," arXiv:2509.17658, 2025.
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