Evaluating Auroral Boundary Predictions Using Machine Learning–Based Particle Precipitation Model

Refat, Arsad

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.

Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.

Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.

Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: Evaluating Auroral Boundary Predictions Using Machine Learning–Based Particle Precipitation Model (AGU25)

Evaluating Auroral Boundary Predictions Using Machine Learning–Based Particle Precipitation Model

Arsad Refat¹, Sai Gowtam Valluri², Hyunju KIM Connor², Yang He³, M. Chantale Damas³ and NASA GSFC, (1)Baruch College, Queens Village, NY, UNITED STATES, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)CUNY Queensborough Community College, Bayside, United States