Leveraging large-sample hydrology and machine learning to predict post-fire flood regimes and drivers across the western US

Canham, Haley

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Abstract: Leveraging large-sample hydrology and machine learning to predict post-fire flood regimes and drivers across the western US (AGU25)

Leveraging large-sample hydrology and machine learning to predict post-fire flood regimes and drivers across the western US

Haley Canham, Utah State University, Logan, UT, United States and Belize Arela Albin Lane, Utah State University, Civil and Environmental Engineering, Logan, UT, United States