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: Pathway-Dependent Predictability of Arctic Cyclones in Physics-Based and Machine Learning Forecasts (AGU25)

Pathway-Dependent Predictability of Arctic Cyclones in Physics-Based and Machine Learning Forecasts

Mingshi Yang, University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, United States, Zhuo Wang, University of Illinois, Urbana, United States, James D Doyle, U.S. Naval Research Laboratory, Monterey, United States and John E Walsh, University of Alaska Fairbanks, Fairbanks, United States