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: Online learning of a machine learning cloud fraction closure in a hybrid earth system model (AGU25)

Online learning of a machine learning cloud fraction closure in a hybrid earth system model

Julian Schmitt, California Institute of Technology, Pasadena, CA, United States, Tom Beucler, University of Lausanne, Switzerland, Faculty of Geosciences and Environment, Institute of Earth Science Dynamics, Lausanne, Switzerland, Costa Christopoulos, California Institute of Technology, Environmental Science and Engineering, Pasadena, CA, United States and Tapio Schneider, California Institute of Technology, Environmental Science and Engineering, Pasadena, United States