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Abstract: Distilling Machine Learning-based Climate Emulators for Physical Understanding (AGU25)

Distilling Machine Learning-based Climate Emulators for Physical Understanding

Senne Van Loon, Colorado State University, Department of Atmospheric Science, Fort Collins, United States, Maria Rugenstein, Colorado State University, Fort Collins, United States, Elizabeth Barnes, Boston University, Computing and Data Sciences, Earth and Environment, Boston, United States and Will Chapman, NSF National Center for Atmospheric Research, Boulder, CO, United States
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