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Abstract: Bankfull and Mean-Flow Channel Geometry Estimation Through Machine Learning Algorithms Across the CONtiguous United States (CONUS) (AGU25)

Bankfull and Mean-Flow Channel Geometry Estimation Through Machine Learning Algorithms Across the CONtiguous United States (CONUS)

Reihaneh Zarrabi, University of Alabama, Department of Geography and the Environment, Tuscaloosa, United States, Riley McDermott, NOAA, Office of Water Prediction, Silver Spring, United States, Mohammad Erfani, Center for Climate Systems Research, Columbia Climate School, Columbia University, New York, United States and Sagy Cohen, The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States
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