Abstract The South Atlantic Anomaly (SAA) in Earth's radiation belt is a critical region that poses significant threats to the safety of Space Stations. This region harbors a high concentration of energetic particles that can penetrate Space Stations, thereby affecting onboard components and posing risks to astronauts. Using polar orbiting environmental satellites satellite observations, a deep neural network was developed to reconstruct high‐resolution spatial distributions of energetic proton and electron fluxes in SAA. The results demonstrate that the model effectively captures the high‐flux characteristics of particles within the SAA, as well as the increase in proton flux during geomagnetic storms, while the electron flux remains nearly constant. The predicted results exhibit a high degree of consistency with actual observational data. This research establishes a technical foundation for high‐resolution prediction and analysis of energetic particle distribution in the SAA and provides valuable insights for understanding particle distribution characteristics, evaluating spacecraft radiation environments, and formulating protection strategies.
Dong et al. (Wed,) studied this question.