The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Physics-Informed and Interpretable LSTM for Hydropower Reservoir Release Modeling Under Climate Variability (AGU25)

Physics-Informed and Interpretable LSTM for Hydropower Reservoir Release Modeling Under Climate Variability

Zhaoyu Zhang, The University of Tokyo, Department of Civil Engineering, Tokyo, Japan, Akiyuki Kawasaki, The University of Tokyo, Institute for Future Initiatives; Department of Civil Engineering; Institute for Digital Observatory., Tokyo, Japan and Abdul Moiz, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, San Diego, United States