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Abstract: Advances in energy and hydrological processes of the AVIM land surface model through Machine Learning and Data Assimilation (AGU25)

Advances in energy and hydrological processes of the AVIM land surface model through Machine Learning and Data Assimilation

Fuqiang Yang, Institute of Atmospheric Physics, Chinese Academy of Sciences, CAS Key Laboratory of Regional Climate and Environment for Temperate East Asia, Beijing, China, Li Dan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Younong Li, Yunnan University, Kunming, China, Kai Li, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China and Wei Pan, Organization Not Listed, Washington, DC, United States
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