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: Spatiotemporal Turbidity Prediction in River Systems using Graph Neural Networks (AGU25)

Spatiotemporal Turbidity Prediction in River Systems using Graph Neural Networks

George Myers1,2, Aidan Hayes3, Shaurya Swami3, Andrew W. Schroth4, John Trusal Kemper5, Donna M Rizzo3,6, Scott D Hamshaw7 and Kristen Underwood8, (1)University of Vermont, Water Resources Institute, Burlington, VT, United States, (2)University of Vermont, Department of Civil and Environmental Engineering, Burlington, VT, United States, (3)University of Vermont, Department of Computer Science, Burlington, United States, (4)University of Vermont, Geography and Geosciences, Burlington, United States, (5)Utah State University, Department of Watershed Sciences, Logan, United States, (6)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (7)U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, (8)University of Vermont, Civil & Environmental Engineering; Water Resources Institute, Burlington, United States