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Abstract: Identifying trustworthiness challenges in deep learning models for continental-scale water quality prediction (AGU25)

Identifying trustworthiness challenges in deep learning models for continental-scale water quality prediction

Xiaobo Xia, National University of Singapore, School of Computing, Singapore, Singapore, Xiaofeng Liu, PhD, Georgia Institute of Technology Main Campus, Georgia Water Resources Institute, Georgia Tech, School of Civil and Environmental Engineering, Atlanta, United States, Jiale Liu, The Pennsylvania State University, University Park, United States, Kuai Fang, Standford University, Standford, United States, Lu Lu, Yale University, New Heaven, United States, Samet Oymak, University of Michigan, Department of Electrical Engineering and Computer Science, Michigan, United States, William S. Currie, University of Michigan, School for Environment and Sustainability, Ann Arbor, MI, United States and Tongliang Liu, University of Sydney, Sydney, Australia