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Abstract: Probabilistic Diffusion Models Advance Extreme Flood Forecasting (AGU25)

Probabilistic Diffusion Models Advance Extreme Flood Forecasting

Zhigang Ou1, Congyi Nai2, Baoxiang Pan3, Yi Zheng1, Chaopeng Shen4, Peishi Jiang5, Xingcai Liu6, Qiuhong Tang7, Wenqing Li8 and Ming Pan9, (1)Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China, (2)Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China, (3)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (4)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (5)Pacific Northwest National Laboratory, Richland, United States, (6)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, (7)Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (8)China Institute of Water Resources and Hydropower Research, State Key Laboratory of Stimulation and Regulation of Water Cycles in River Basin, Beijing, China, (9)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States