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Abstract: An Artificial Intelligence-based emulator for western US crop productivity and evapotranspiration in land surface and water resource models: The upper Colorado River basin as a testing case (AGU25)

An Artificial Intelligence-based emulator for western US crop productivity and evapotranspiration in land surface and water resource models: The upper Colorado River basin as a testing case

Hongyuan Zhang, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, Tianyi Hu, University of Arizona, Department of Hydrology and Atmospheric sciencs, Tucson, AZ, United States, Patrick Neri, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Yang Song, Oak Ridge National Laboratory, Climate Change Science Institute & Environmental Sciences Division, Oak Ridge, United States