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Abstract: Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space (AGU25)

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space

Hang Fan1,2, Lei Bai2, Ben Fei3, Yi Xiao4, Yongquan Qu5 and Pierre Gentine6, (1)Columbia University, New York, United States, (2)Shanghai Artificial Intelligence Laboratory, Shanghai, China, (3)The Chinese University of Hong Kong, Hong Kong, China, (4)Tsinghua University, Beijing, China, (5)Columbia University of New York, New York, United States, (6)Columbia University, Department of Earth and Environmental Engineering, New York, United States
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