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: AI-Driven Forecasting of Lake Ontario Water Levels: A Comparative Analysis of Univariate and Multivariate Approaches (AGU25)

AI-Driven Forecasting of Lake Ontario Water Levels: A Comparative Analysis of Univariate and Multivariate Approaches

Afeef Ahmad, Clarkson University, Potsdam, NY, United States, Sayed Mahdi, Clarkson University, Civil Engineering Department, Potsdam, United States, Tyler J Smith, Clarkson University, Department of Civil & Environmental Engineering, Potsdam, NY, United States and Abul Baki, Clarkson University, Civil and Environmental Engineering, Potsdam, United States
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