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Abstract: FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models (AGU25)

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models

Pritthijit Nath1, Sebastian Schemm1,2, Henry Moss1, Peter Haynes1, Emily Shuckburgh3 and Mark Webb4, (1)University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, United Kingdom, (2)ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland, (3)University of Cambridge, Department of Computer Science and Technology, Cambridge, United Kingdom, (4)Met Office Hadley Centre, Exeter, United Kingdom
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