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Abstract: A Hybrid Dynamical-Machine Learning Forecast Tool for Subseasonal Precipitation Prediction Based on ENSO and the MJO (AGU25)

A Hybrid Dynamical-Machine Learning Forecast Tool for Subseasonal Precipitation Prediction Based on ENSO and the MJO

Cheng Zheng1, Hyemi Kim1,2, Emerson LaJoie3, Shan He4 and Edmund K M Chang4, (1)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States, (2)Ewha Womans University, Department of Science Education, Seoul, South Korea, (3)Climate Prediction Center College Park, College Park, MD, United States, (4)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States
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