CLEAR Space Weather Center of Excellence: All-Clear Solar Energetic Particle Prediction

TL;DR

The paper describes the CLEAR Space Weather Center's five-year initiative to develop an integrated prediction framework for solar energetic particles, aiming for timely 'all clear' forecasts using empirical, physics-based, and machine learning models.

Contribution

It introduces a comprehensive prediction framework combining multiple modeling approaches for accurate SEP forecasting, advancing space weather prediction capabilities.

Findings

Development of an integrated SEP prediction framework

Use of machine learning models for space weather forecasting

Focus on timely 'all clear' solar energetic particle predictions

Abstract

The CLEAR Space Weather Center of Excellence (CLEAR center) is a five year project that is funded by the NASA Space Weather Center of Excellence program. The CLEAR center will build a comprehensive prediction framework for solar energetic particles (SEPs) focusing on the timely and accurate prediction of low radiation periods (``all clear forecast") and the occurrence and characteristics of elevated periods. This will be accomplished by integrating empirical, first-principles based and machine learning (ML)-trained prediction models. In this paper, the motivation, overview, and tools of the CLEAR center will be discussed.