Abstract
AbstractThe energetic electron precipitation (EEP) plays important role in the magnetosphere‐ionosphere‐thermosphere system. It can lead to the decrease of ring current energy densities, the enhancement of electron density in the lower ionosphere, and the destruction of the ozone layer. In the study, using the Energetic Electron Precipitation flux Deep Neural Networks (EPFN) model, the global dynamic evolution of EEP is reconstructed. It suggests that the model can better capture the variation of global EEP during geomagnetic activity. With that, the morphological evolution of EEP and associated potential mechanisms during different phases of geomagnetic storm are analyzed based on the EPFN model. The model provides a good way to understand the loss processes of ring current electrons during geomagnetic storm.
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