Feb. 20, 2024, 5:44 a.m. | Andrew J. Charlton-Perez, Helen F. Dacre, Simon Driscoll, Suzanne L. Gray, Ben Harvey, Natalie J. Harvey, Kieran M. R. Hunt, Robert W. Lee, Ranjini Sw

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.02658v2 Announce Type: replace
Abstract: There has been huge recent interest in the potential of making operational weather forecasts using machine learning techniques. As they become a part of the weather forecasting toolbox, there is a pressing need to understand how well current machine learning models can simulate high-impact weather events. We compare forecasts of Storm Ciar\'an, a European windstorm that caused sixteen deaths and extensive damage in Northern Europe, made by machine learning and numerical weather prediction models. The …

abstract ai models arxiv become case case study cs.lg evaluation forecasting machine machine learning machine learning techniques making part physics physics.ao-ph quantitative storm study type weather weather forecasting

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