The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Deep Learning-based Subseasonal Prediction of Winter Temperature Extremes in North America (AGU25)

Deep Learning-based Subseasonal Prediction of Winter Temperature Extremes in North America

Hanol Park1, Jeong-Hwan Kim1, Mi-Kyung Sung1 and Daehyun Kang2, (1)KIST Korea Institute of Science and Technology, Seoul, South Korea, (2)Korea Institute of Science and Technology, Center for Climate and Carbon Cycle Research, Seoul, South Korea