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Abstract: Evaluating Hybrid Models for Sediment Yield Prediction and Watershed Process Understanding (AGU25)

Evaluating Hybrid Models for Sediment Yield Prediction and Watershed Process Understanding

Tsige Atilaw1,2, Yiluan Song3, Seth Temple2, Jamila Taaki2, Haotian Chen2 and Xiaofeng Liu, PhD4, (1)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, Michigan Institute for Data and AI in Society, Ann Arbor, United States, (3)University of Michigan Ann Arbor, School for Environment and Sustainability, Institute for Global Change Biology, Michigan Institute for Data and AI in Society, Ann Arbor, United States, (4)University of Michigan Ann Arbor, Michigan Institute for Data and AI in Society, Ann Arbor, MI, United States
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