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: Hypernetworks for deep learning-based hydrological prediction (AGU25)

Hypernetworks for deep learning-based hydrological prediction

Mohammad Sina Jahangir, Cornell University, Biological and Environmental Engineering, Ithaca, United States, Shahryar Fazli, Chapman University, Schmid College of Science and Technology, Orange, CA, United States, John Quilty, University of Waterloo, Civil and Environmental Engineering, Waterloo, ON, Canada and Scott Steinschneider, Cornell University, Ithaca, United States