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Abstract: Teaching AI weather models to forecast gray swan extreme events via rare-event sampling and active learning (AGU25)

Teaching AI weather models to forecast gray swan extreme events via rare-event sampling and active learning

Pedram Hassanzadeh, The University of Chicago, Department of the Geophysical Sciences, Chicago, United States, Amaury Lancelin, École Normale Supérieure, LMD, Paris, France, Alexander Wikner, University of Chicago, Chicago, United States, Dorian S Abbot, University of Chicago, Geophysical Sciences, Chicago, United States, Jonathan Weare, New York University, Courant Institute of Mathematical Sciences, New York, United States, Freddy Bouchet, LMD, IPSL, Paris, France, Laurent Dubus, RTE, Paris, France, Willow Stenglein, University of Texas at Austin, Austin, United States and Y Qiang Sun, UChicago, Chicago, United States
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