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Session
  • Presentation | NG33B: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences IV Poster
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  • NG33B-0432: Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
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  • Board 0432‚ Hall EFG (Poster Hall)
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Author(s):
Hang Fan, Columbia University (First Author, Presenting Author)
Lei Bai, Shanghai Artificial Intelligence Laboratory
Ben Fei, The Chinese University of Hong Kong
Yi Xiao, Tsinghua University
Yongquan Qu, Columbia University of New York
Pierre Gentine, Columbia University

Scientific Discipline
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Main Session
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