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: Innovative Integration of Deep Learning and Physics-Based Models for Simulating Global Electron Precipitation Driven by Whistler-mode Waves (AGU25)

Innovative Integration of Deep Learning and Physics-Based Models for Simulating Global Electron Precipitation Driven by Whistler-mode Waves

Fira Fatmasiefa1, Wen Li1, Luisa Capannolo2, Xiaochen Shen2, Qianli Ma2, Sheng Huang1, Dr. Xiangning Chu3 and Van Allen Probes Team, THEMIS Team, (1)Boston University, Boston, MA, United States, (2)Boston University, Boston, United States, (3)Laboratory for Atmospheric and Space Physics, Boulder, United States