Authors: Lulu Zhao (University of Michigan), Tamas Gombosi (University of Michigan), and the CLEAR Team

The Space Weather Center of Excellence CLEAR: All-CLEAR Solar Energetic Particle Forecast (CLEAR) is a NASA Space Weather Center of Excellence dedicated to advancing operational forecasting of solar energetic particles (SEPs) through an integrated empirical, machine learning, and first-principle based framework. 

Over the past two years, CLEAR has established an end-to-end operational modeling pipeline that combines near-real-time solar observations, physics-based heliospheric simulations, and machine learning models. Major developments include an hourly updated global solar wind forecasting capability driven by GONG magnetograms, an automated SOFIE-based CME-to-SEP forecasting pipeline, machine-learning SEP prediction system SEPNet, and magnetic connectivity tools that provide rapid assessments of particle transport throughout the heliosphere. CLEAR has also delivered the first benchmark SEP dataset which is a high-qualify, reproducible, and fully automated operational list of SEP events with extensive associated properties has been delivered for community use.

This presentation will provide an overview of CLEAR’s recent scientific and operational advances, and highlight ongoing efforts to extend forecasting capabilities from Earth to the Moon and Mars in support of Artemis and future deep-space exploration. We will also describe opportunities for community collaboration through model validation, benchmark development, operational testbeds, and the transition of research models into space weather operations.