Prediction of Ultra-Relativistic Electron Flux Dynamics Through a Fusion of Machine-Learning and Physics-Based Models
Jacob Bortnik1, Qianli Ma2, Dr. Xiangning Chu3, Wen Li2, Xiaojia Zhang4, Richard M Thorne1, Craig Kletzing5, George B Hospodarsky6, Harlan E Spence7, Geoffrey D Reeves8, Shrikanth G Kanekal9 and Daniel N Baker10, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)Boston University, Boston, MA, United States, (3)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (4)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, United States, (5)University of Iowa, Physics and Astronomy, Iowa City, United States, (6)University of Iowa, Iowa City, IA, United States, (7)University of New Hampshire Main Campus, Space Science Center, Durham, NH, United States, (8)Los Alamos National Laboratory, Los Alamos, NM, United States, (9)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (10)University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, United States
