Deep Learning and Reinforcement Learning for Reservoir Storage Forecasting Enhanced by SWOT: A Comparison with NWM–ESP

Ma, Xiaoyu

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.

Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.

Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.

Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: Deep Learning and Reinforcement Learning for Reservoir Storage Forecasting Enhanced by SWOT: A Comparison with NWM–ESP (AGU25)

Deep Learning and Reinforcement Learning for Reservoir Storage Forecasting Enhanced by SWOT: A Comparison with NWM–ESP

Xiaoyu Ma¹, Athena Liu² and Dennis P. Lettenmaier¹, (1)University of California Los Angeles, Department of Geography, Los Angeles, CA, United States, (2)Duke University, Interdisciplinary Data Science, Durham, United States