电离层
风暴
不对称
大气科学
电子密度
电子
物理
气象学
环境科学
地球物理学
核物理学
量子力学
作者
Yanhong Chen,Ercha Aa,Tianjiao Yuan,Shun‐Rong Zhang,Hua Shen,Xinan Yue,H. Y. Xu,Siwei Liu,Xin Wang,Wengeng Huang,Huijun Li,Bingxian Luo,Qinghe Zhang,Chi Wang
摘要
Abstract The Earth's ionosphere plays a critical role in radio wave transmission, reflection, and scattering, directly affecting communication, navigation and positioning systems. However, the comprehensive impacts of space weather remain not fully established in cases where the ionosphere experiences strong disturbances during geomagnetic storms. We reported unprecedented observation evidence of extreme ionospheric electron density depletion and its hemispheric asymmetry during the May 10–12 2024 super geomagnetic storm, utilizing multi-instrument ground-based and spaceborne in-situ observations. The ionospheric electron density significantly decreased, with a maximum reduction of 98%, over the whole northern hemisphere for more than two days, causing backscatter echo failures in multiple ionosondes within the Chinese Meridian Project (CMP) monitoring network. Contrastingly, mid-to-low latitudes regions in the southern hemisphere exhibited electron density enhancements. Thermosphere-ionosphere-Electrodynamics General Circulation Model (TIEGCM) simulations demonstrated strong consistency with northern hemispheric observations. The vertical drift and the column integrated ratio of O and N2 (ΣO/N2) from observations and simulations indicated the deep reduction of total electron content (TEC) mainly generated by severe ion recombination associated with neutral composition changes that interacted with disturbed electric field. The summer to winter neutral wind and asymmetry of O/N₂ were possibly responsible for the asymmetry in electron density between the northern and southern hemispheres. These results advance understanding of ionospheric storm physics by establishing causal links between magnetosphere-thermosphere coupling processes and extreme electron density variations, while providing critical observational constraints for space weather model refinement.
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