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Abstract: Inverse Machine Learning for 3D Subsurface Characterization and Pumping Estimation in CONUS-Scale Models (AGU25)

Inverse Machine Learning for 3D Subsurface Characterization and Pumping Estimation in CONUS-Scale Models

Louisa Pawusch, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, Andrew Bennett, University of Arizona, Department of Hydrology & Atmospheric Sciences, Tucson, AZ, United States, Peter Melchior, Princeton University, Astrophysical Sciences, Princeton, United States, Laura E Condon, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Danielle Tijerina-Kreuzer, University of California Berkeley, Energy and Resources Group, Berkeley, United States and Reed M Maxwell, Princeton University, Civil and Environmental Engineering, Princeton, United States
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