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: AI Improves the Accuracy, Reliability, and Economic Value of Continental-Scale Flood Predictions (AGU25)

AI Improves the Accuracy, Reliability, and Economic Value of Continental-Scale Flood Predictions

Vinh Tran1, Taeho Kim2, Donghui Xu3, Hoang Tran4, ManhHung Le5, Thanh Nhan Duc Tran6, Jongho Kim7, Daniel B Wright8, Trung Tran9, Valeriy Yu Ivanov2 and Pedro Restrepo10, (1)University of Michigan, Ann Arbor, United States, (2)University of Michigan, Civil and Environmental Engineering, Ann Arbor, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Pacific Northwest National Laboratory, Richland, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, (7)Ulsan University, Seoul, North Korea, (8)University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, (9)University of Ulsan, School of Civil and Environmental Engineering, Ulsan, South Korea, (10)Consultant, Minneapolis, Minneapolis, United States