1,1,1,2,2,1,1,1,- 1Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, United States of America
- 2Statistics, University of Michigan, Ann Arbor, United States of America
- 3NASA Space Radiation Analysis Group, Johnson Space Center, Houston, United States of America
- 4Goddard Space Flight Center, Greenbelt, United States of America
- 5Department of Astronomy, University of Maryland, College Park, United States of America
- 6Institute for Astrophysics and Computational Sciences, Catholic University of America, Washington, United States of America
- 7Department of Space Science, University of Alabama in Huntsville, Huntsville, United States of America
- 8CCMC, Goddard Space Flight Center, Greenbelt, United States of America
- 9Space Weather Prediction Center, NOAA, Boulder, United States of America
- *A full list of authors appears at the end of the abstract
Advancing space weather forecasting for human space exploration requires not only advanced scientific models, but also demonstration of their operational readiness, validation in realistic environments, and sustained feedback between research and operations (R2O2R). The CLEAR Space Weather Center of Excellence (CLEAR center) focuses on developing and transitioning advanced solar energetic particle (SEP) forecasting capabilities into operationally viable, real-time systems to support future missions.
In this presentation, we will describe the research to operation activities conducted within the CLEAR center, with an emphasis on the past testbed-based exercise, operational co-development, and real-time implementation. The CLEAR center actively participated in the 2025 Space Weather Prediction Testbed Exercise in support of Human Space Exploration and the Artemis-II Mission, which provided a realistic operational context to assess model performance under constraints relevant to flight decision support, including latency, robustness, automation, interpretability, and uncertainty communication.
We will also report on the deployment of the CLEAR center’s physics-based, empirical, and machine-learning SEP models into an automated, near-real-time forecasting framework, designed to operate continuously during mission-critical periods. Particular attention is given to operational architecture, including data acquisition, computational optimization, automation and fail-safe design, enabling timely delivery of prediction products for Artemis launch windows. Feedback from operators and forecasters has directly informed pipeline design, product placement, delivery timing, and visualization - closing the O2R loop.
This work demonstrates how sustained engagement with operational partners accelerates the transition of SEP research into actionable forecasting capabilities. The CLEAR experience provides a concrete example of effective R2O2R pathways for next-generation space weather modeling in support of Moon and Mars exploration.
Lulu Zhao, Tamas Gombosi, Igor Sokolov, Yang Chen, Yian Yu, Kathryn Whitman, Charles Arge, Alexander Shane, Nishtha Sachdeva, Ian Richardson, Alessandro Bruno, Weihao Liu, Gergely Koban, Nikolett Biro, Sailee Sawant, Victor Verma, Kevin Jin, Leila Mays, Eric Adamson, Hazel Bain, Mary Aronne, Elizabeth Juelfs, Teresa Nieves-Chinchilla, Claudio Corti
How to cite: Zhao, L., Gombosi, T., Sokolov, I., Chen, Y., Yu, Y., Whitman, K., Arge, C., Shane, A., Sachdeva, N., Richardson, I., Bruno, A., Liu, W., Koban, G., Biro, N., Sawant, S., Verma, V., Jin, K., Mays, L., Adamson, E., and Bain, H. and the The CLEAR Team: Operational Implementation of Real-Time SEP Forecasting: R2O2R Activities from the CLEAR Space Weather Center of Excellence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15453, https://doi.org/10.5194/egusphere-egu26-15453, 2026.
