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Abstract: Exploring Structural Differences and Parameter Calibration for Microphysics in CESM with Latent Representations using Contrastive Learning Models (AGU25)

Exploring Structural Differences and Parameter Calibration for Microphysics in CESM with Latent Representations using Contrastive Learning Models

Da Fan1, David John Gagne II2, Mike S Pritchard3, Brian Medeiros4, Gregory Elsaesser5, Addisu Semie1 and Qingyuan Yang1, (1)Columbia University, Learning the Earth with Artificial Intelligence and Physics (LEAP), a National Science Foundation (NSF) Science and Technology Center, New York, United States, (2)NSF National Center for Atmospheric Research, Computational and Information Systems Lab, Boulder, United States, (3)University California Irvine, Earth System Science, Irvine, United States, (4)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, United States, (5)Columbia University/NASA GISS, New York, United States
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