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Abstract: Evaluating Machine Learning Methods for River Flow Time Series Modeling in U.S. Midwest Agricultural Watersheds (AGU25)

Evaluating Machine Learning Methods for River Flow Time Series Modeling in U.S. Midwest Agricultural Watersheds

Maral Khodadadi1, Bartosz P. Grudzinski2, Michael J. Vanni3, Elisabeth Widom1 and Vidya Samadi4, (1)Miami University, Department of Geology & Environmental Earth Science, Oxford, OH, United States, (2)Miami University, Department of Geography, Oxford, OH, United States, (3)Miami University, Department of Biology, Oxford, OH, United States, (4)Clemson University, Department of Agricultural Sciences, Clemson, SC, United States
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