Simulated Real-Time Testing of the Prototype Implementation of the SOFIE Model: The 2025 Space Weather Prediction Testbed Exercise
Weihao Liu, Lulu Zhao, Igor V. Sokolov, Kathryn Whitman, Tamas I. Gombosi, Nishtha Sachdeva, Eric T. Adamson, Hazel M. Bain, Claudio Corti, M. Leila Mays, Michelangelo Romano, Carina R. Alden, Madeleine M. Anastopulos, Mary E. Aronne, Janet E. Barzilla, Wesley T. Cook, Shawn D. Dahl, Hannah Hermann, Anthony J. Iampietro, A. Steve Johnson, Elizabeth A. Juelfs, Melissa R. Kane, Jonathan D. Lash, Kimberly Moreland, Briana K. Muhlestein, Teresa Nieves-Chinchilla, Edward Semones, James F. Spann, Earl M. Spencer, Luke A. Stegeman, Christopher J. Stubenrauch, Kenneth L. Tegnell
TL;DR
This study reports on the on-site, simulated real-time testing of SOFIE, a physics-based SEP model within the CLEAR framework, during NOAA SWPC's Space Weather Prediction Testbed 2025. SOFIE integrates ambient solar wind modeling (AWSoM-R), CME flux rope generation (EEGGL), and shock-driven SEP acceleration/transport (M-FLAMPA) to produce two-dimensional proton-flux distributions on a Sun-centered sphere and Earth-directed time–intensity profiles. Results from two well-observed historical events (10 Sep 2017 and 4 Nov 2001) show that SOFIE can deliver 4-day SEP forecasts significantly faster than real time (e.g., 4-day predictions in about 5–13 hours on 1,000 CPU cores) while reproducing key CME and SEP features, though grid resolution and early connectivity can affect ESP timing and amplitude. The study demonstrates that physics-based SEP predictions are operationally viable, provided grid-refinement strategies and forecaster feedback are used to balance speed and accuracy, and it outlines a practical dual-setup workflow (coarse early forecasts followed by higher-accuracy runs) to support future human space exploration missions.
Abstract
The CLEAR Space Weather Center of Excellence's solar energetic particle (SEP) prediction model, SOlar wind with FIeld lines and Energetic particles (SOFIE), was run and evaluated on-site during the Space Weather Prediction Testbed (SWPT) exercise at NOAA's Space Weather Prediction Center (SWPC) in May 2025. As a physics-based SEP simulation and prediction model, SOFIE simulates the acceleration and transport of energetic particles in the coronal mass ejection (CME) driven shock in the solar corona and inner heliosphere. It has been validated against historical events. However, questions remain regarding whether a physics-based model, traditionally considered computationally expensive, could meet operational needs. The SWPT exercise offered a valuable opportunity to evaluate SOFIE's performance under simulated real-time conditions. Interactive feedback during the exercise from SWPC forecasters, SRAG console operators, CCMC personnel, and M2M SWAO analysts led to significant strategic improvements in the model setup to meet operational requirements. The resolution of the simulation domain was optimized by combining a coarser background grid with higher-resolution regions along the CME path and facing toward Earth, reducing computational cost without compromising accuracy. In this work, we present the operational performance of SOFIE and its capability to predict SEP fluxes significantly faster than real time. SOFIE was able to complete a 4-day SEP simulation within 5 hours on a supercomputer with 1,000 CPU cores during the SWPT exercise. This marks a critical milestone in demonstrating both the robustness and operational usefulness of SOFIE to support future human space exploration.
