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: Understanding and Predicting Flash Flood Impact Locations Using Machine Learning and Radar Rainfall Data (AGU25)

Understanding and Predicting Flash Flood Impact Locations Using Machine Learning and Radar Rainfall Data

Paniz Peiravani1, Yingli Tian2, Te Pei3, Seonho Kim4, Jae-Ung Yu4 and Naresh Devineni4, (1)Department of Earth System Science & Environmental Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Earth System Science & Environmental Engineering, New York, United States, (2)Department of Electrical Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Electrical Engineering, New York, United States, (3)Department of Civil Engineering, Stony Brook University, Department of Civil Engineering, New York, United States, (4)Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States