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Session
  • Presentation | H33N: Advances in Remote Sensing, AI, and Modeling for Hydrology and the Terrestrial Water Cycle I Poster
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  • H33N-1468: AI Improves the Accuracy, Reliability, and Economic Value of Continental-Scale Flood Predictions
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  • Board 1468‚ Hall EFG (Poster Hall)
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Author(s):
Vinh Tran, University of Michigan (First Author, Presenting Author)
Taeho Kim, University of Michigan
Donghui Xu, Pacific Northwest National Laboratory
Hoang Tran, Pacific Northwest National Laboratory
ManhHung Le, NASA Goddard Space Flight Center
Thanh Nhan Duc Tran, University of Virginia
Jongho Kim, Ulsan University
Daniel Wright, University of Wisconsin-Madison
Trung Tran, University of Ulsan
Valeriy Ivanov, University of Michigan
Pedro Restrepo, Consultant, Minneapolis

Scientific Discipline
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Main Session
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