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: Physics-Guided Hybrid CNN-BiLSTM Model for Streamflow and Water Quality Prediction in River networks using Spatiotemporal Features and Watershed Connectivity. (AGU25)

Physics-Guided Hybrid CNN-BiLSTM Model for Streamflow and Water Quality Prediction in River networks using Spatiotemporal Features and Watershed Connectivity.

Hadi Mohammed, University of Kansas, Civil, Environmental, and Architectural Engineering, Lawrence, KS, United States and Amy T. Hansen, University of Kansas, Civil, Environmental, and Architectural Engineering
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