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Abstract: Enhanced Soil Moisture Prediction at Subseasonal-to-Seasonal Scales Using a Deep Learning–Physics Hybrid Approach (AGU25)

Enhanced Soil Moisture Prediction at Subseasonal-to-Seasonal Scales Using a Deep Learning–Physics Hybrid Approach

Miao Zhang, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States; Nanjing University of Information Science and Technology, Nanjing, China, Xing Yuan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Wenli Zhao, Columbia University, Department of Earth and Environmental Engineering, New York, United States and Trevor Keenan, University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
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