"FastNet: Improving the physical consistency of machine-learning weather ..."

Tom Dunstan et al. (2025)

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DOI: 10.48550/ARXIV.2509.17601

access: open

type: Informal or Other Publication

metadata version: 2025-10-22

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  - journals/corr/abs-2509-17601
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  - https://dblp.org/rec/journals/corr/abs-2509-17601
Tom Dunstan, Oliver Strickson, Thusal Bennett, Jack Bowyer, Matthew Burnand, James Chappell, Alejandro Coca-Castro, Kirstine Ida Dale, Eric G. Daub, Noushin Eftekhari, Manvendra Janmaijaya, Jon Lillis, David Salvador Jasin, Nathan Simpson, Ryan Sze-Yin Chan, Mohamad Elmasri, Lydia Allegranza France, Sam Madge, Levan Bokeria, Hannah Brown, Tom Dodds, Anna-Louise Ellis, David Llewellyn-Jones, Theo McCaie, Sophia Moreton, Tom Potter, James Robinson, Adam A. Scaife, Iain Stenson, David Walters, Karina Bett-Williams, Louisa van Zeeland, Peter Yatsyshin, J. Scott Hosking:
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design. CoRR abs/2509.17601 (2025)

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