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Abstract: Disentangled Contrastive Representation Learning for Interpretable Analysis of Warm Rain Microphysics Schemes (AGU25)

Disentangled Contrastive Representation Learning for Interpretable Analysis of Warm Rain Microphysics Schemes

Subashree Venkatasubramanian1, Da Fan1 and David John Gagne II2, (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)NCAR/MMM, Boulder, United States
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