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Abstract: Exploring the Dynamical and Physical Encoding of Idealised Baroclinic Waves in a Deep Learning Weather Model (AGU25)

Exploring the Dynamical and Physical Encoding of Idealised Baroclinic Waves in a Deep Learning Weather Model

Clément Bouvier, University of Helsinki, Institute for Atmospheric and Earth Research / Physics, Helsinki, Finland, Simon Driscoll, University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, United Kingdom and Gregory J Hakim, University of Washington, Department of Atmospheric and Climate Science, Seattle, United States
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