The Study on the Global Evolution of Energetic Electron Precipitation During Geomagnetic Storm Based on Deep Learning Algorithm.

Autor: Chen, Zhou, Tian, Hang, Li, Haimeng, Tang, Rongxin, Ouyang, Zhihai, Deng, Xiaohua
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Zdroj: Journal of Geophysical Research. Space Physics; Mar2023, Vol. 128 Issue 3, p1-17, 17p
Abstrakt: The 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. Plain Language Summary: Energetic electron precipitations (EEPs) play significant roles in both the dynamic processes of magnetosphere and ionosphere. It is one of the major mechanisms of energetic particles loss in the magnetosphere. Furthermore, the intense precipitation can significantly alter the ionospheric properties, especially in the D and E regions. In the study, using the deep learning technology, the global dynamic evolution of EEP is reconstructed. Based on the reconstructed model, the evolution of EEP during geomagnetic storm is studied. It is helpful to understand the dynamic process in both magnetosphere and ionosphere. Key Points: The model of global dynamic evolution of energetic electron precipitation (EEP) is reconstructedThe model can well capture the variation of global EEP during geomagnetic activityThe evolution of EEP and associated potential mechanisms during different phases are analyzed [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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