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Abstract: Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks (AGU25)

Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks

Shaurya Swami, University of Vermont, Department of Computer Science, Burlington, United States, Kristen Underwood, University of Vermont, Civil & Environmental Engineering; Water Resources Institute, Burlington, United States, Donna M Rizzo, University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, Scott D Hamshaw, U.S. Geological Survey, Water Mission Area-Integrated Modeling and Prediction Division, Bristol, United States, Patrick J Clemins, University of Vermont, Department of Computer Science, Burlington, VT, United States, Julia N Perdrial, University of Vermont, Department of Geography & Geoscience, Burlington, VT, United States, Andrew W. Schroth, University of Vermont, Geography and Geosciences, Burlington, United States and Harrison Myers, University of Vermont, Burlington, United States