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: Towards an Interpretable Machine Learning Model of Localized Geomagnetic Disturbances in Terms of Solar Wind Drivers (AGU25)

Towards an Interpretable Machine Learning Model of Localized Geomagnetic Disturbances in Terms of Solar Wind Drivers

Raman Mukundan, University of New Hampshire Main Campus, Durham, NH, United States, Amy M Keesee, University of New Hampshire, Physics and Space Science Center, Durham, United States, Michael Coughlan, NASA GSFC, Greenbelt, United States, Victor A Pinto, UCLA, Los Angeles, United States and Jose Paulo Marchezi, CRS/INPE - UFSM, Santa Maria, Brazil