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: Using Entity-Aware LSTM to Enhance Streamflow Predictions in Transboundary and Large Lake Basins (AGU25)

Using Entity-Aware LSTM to Enhance Streamflow Predictions in Transboundary and Large Lake Basins

Yunsu Park, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Xiaofeng Liu, PhD, Georgia Institute of Technology Main Campus, Georgia Water Resources Institute, Georgia Tech, School of Civil and Environmental Engineering, Atlanta, United States, Yuyue Zhu, University of Michigan, Ann Arbor, United States and Lauren M Fry, NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States