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Abstract: Advancing Great Lakes Modeling: Harnessing 3D Hydrodynamics and Deep Learning for Future Insights into Coupled Lake–Atmosphere Systems (AGU25)

Advancing Great Lakes Modeling: Harnessing 3D Hydrodynamics and Deep Learning for Future Insights into Coupled Lake–Atmosphere Systems

Pengfei Xue1, Yi Chen2, Miraj Kayastha3, Chenfu Huang2, Yun Qian4, Jiali Wang5, Rob Hetland6, William Pringle7, Zhao Yang8, TC Chakraborty4 and Xing Zhou1, (1)Michigan Technological University, Department of Civil, Environmental and Geospatial Engineering, Houghton, MI, United States, (2)Michigan Technological University, Houghton, United States, (3)Massachusetts Institute of Technology, Cambridge, United States, (4)Pacific Northwest National Laboratory, Richland, WA, United States, (5)Argonne National Laboratory, Argonne, United States, (6)Pacific Northwest National Laboratory, Richland, United States, (7)Environmental Science Division, Argonne National Laboratory, Lemont, IL, United States, (8)Pacific Northwest National Lab, Richland, United States
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