ORIGINAL RESEARCH article
Front. Astron. Space Sci.
Sec. Space Physics
This article is part of the Research TopicPredicting Near-Earth Space Environment: New Perspective and Capabilities in the AI AgeView all 5 articles
Ensemble Modeling of Long-term Radiation Belt Dynamics: Accounting for Variability in Radial Diffusion
Provisionally accepted- 1Heliophysics Science Division, NASA Goddard Space Flight Center, Greenbelt, United States
- 2The Catholic University of America, Washington, United States
- 3University of Michigan, Ann Arbor, United States
- 4Los Alamos National Laboratory, Los Alamos, United States
- 5New Mexico Consortium, Los Alamos, United States
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This study presents ensemble modeling of outer radiation belt dynamics observed by Van Allen Probes throughout 2017 using DREAM3D simulations. We utilize a recently developed empirical radial diffusion coefficient (π·πΏπΏ) model with statistical distributions, employing two outer boundary (OB) conditions: Van Allen Probes data at πΏβ= 5.5 and GOES data at πΏβ= 6, for two magnetic moments π= 512 πππ/πΊ and π= 1237 πππ/πΊ. The results demonstrate that OB location critically influences model performance. A model using Van Allen Probes OB at πΏβ= 5.5 better reproduces observations, particularly for high π electrons. In this scenario, radial diffusion alone can largely explain the dynamics because the OB is located near the phase space density (PSD) peak region. Stronger π·πΏπΏ outside the plasmasphere effectively captures inward/outward radial diffusion to/from the OB, while an intermediate π·πΏπΏ around the 30th percentile best matches electron PSD inside the plasmasphere. With GOES OB at πΏβ= 6, not only does strong π·πΏπΏ remain crucial for achieving good performance, but chorus heating also becomes critical. Model performance inside the plasmasphere is the best for the intermediate π·πΏπΏ but consistently worse than that outside the plasmasphere, suggesting a need for improved π·πΏπΏ and loss inputs in the plasmasphere.
Keywords: Radiation belt1, Radial Diffusion2, ensemble modeling3, Wave ParticleInteraction4, uncertainty5
Received: 16 Oct 2025; Accepted: 02 Dec 2025.
Copyright: Β© 2025 Lee, Tu, Cunningham and Cowee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Sang-Yun Lee
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