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: Atmospheric Chemical Modeling and Machine Learning using the EarthSciML framework (AGU25)

Atmospheric Chemical Modeling and Machine Learning using the EarthSciML framework

Christopher Tessum1, Hamidreza Emamipour1, Lin Guo1, Jialin Liu2, Manho Park3 and Xiaokai Yang1, (1)University of Illinois at Urbana Champaign, Urbana, United States, (2)University of Illinois at Urbana Champaign, Champaign, United States, (3)University of Illinois Urbana-Champaign, Civil and Environmental Engineering, Urbana, United States