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Abstract: Knowledge-Guided Graph Machine Learning Enables High-Resolution Nitrogen Transport Modeling in the Upper Mississippi River Basin (AGU25)

Knowledge-Guided Graph Machine Learning Enables High-Resolution Nitrogen Transport Modeling in the Upper Mississippi River Basin

Jie Yang1, Bin Peng1, Yaji Wang1, Xiaowei Jia2, Zewei Ma1, Qianyu Zhao1, Licheng LIU3, Yuanxin Song1, Mengqi Jia4, Vipin Kumar5, Ming Pan6, John Little Nieber3, Zhenong Jin3 and Kaiyu Guan4, (1)University of Illinois Urbana-Champaign, Urbana, United States, (2)University of Pittsburgh, Pittsburgh, United States, (3)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (4)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (5)University of Minnesota Twin Cities, Department of Computer Science & Engineering, Minneapolis, United States, (6)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States
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