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: A Machine Learning-based Prediction-to-Map Framework for Rapid and Accurate Spatial Flood Prediction (AGU25)

A Machine Learning-based Prediction-to-Map Framework for Rapid and Accurate Spatial Flood Prediction

Daoyang Bao1, Z. George Xue2, Matthew R Hiatt3, Kehui Xu2, Dr. Courtney Kay Harris, Ph.D.4 and Jill C. Trepanier5, (1)Louisiana State University, Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (2)Louisiana State University, Department of Oceanography and Coastal Sciences, Baton Rouge, LA, United States, (3)LSU, Oceanography & Coastal Sciences, Baton Rouge, United States, (4)Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, United States, (5)Louisiana State University, Geography & Anthropology, Baton Rouge, LA, United States