This repository is a supplement to "Skillful Precipitation Nowcasting using Deep Generative Models of Radar" and provides necessary code for loading data from a large scale nowcasting dataset and obtaining predictions with the pretrained model.
Please see the Colab notebook for further details:
The Colab notebook is licensed under the Apache License, Version 2.0. The associated model snapshots are made available for use under the terms of the Creative Commons Attribution 4.0 International License.
The provided post-processed nowcasting dataset is licensed under a Creative Commons Attribution 4.0 International License and it contains public sector information licensed by the Met Office under the Open Government Licence v3.0.
The pseudocode is relased in the same cloud storage bucket as the datasets:
gs://dm-nowcasting-example-data/pseudocode.zip.
You can access it with e.g. a gsutil.
If you use this work, consider citing our paper:
@article{ravuris2021skillful,
author={Suman Ravuri and Karel Lenc and Matthew Willson and Dmitry Kangin and Remi Lam and Piotr Mirowski and Megan Fitzsimons and Maria Athanassiadou and Sheleem Kashem and Sam Madge and Rachel Prudden Amol Mandhane and Aidan Clark and Andrew Brock and Karen Simonyan and Raia Hadsell and Niall Robinson Ellen Clancy and Alberto Arribas† and Shakir Mohamed},
title={Skillful Precipitation Nowcasting using Deep Generative Models of Radar},
journal={Nature},
volume={597},
pages={672--677},
year={2021}
}