The Study of Topside Ionospheric Irregularities during Geomagnetic Storms in 2015

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Oluwaseyi Emmanuel Jimoh, J. Lei, F. Huang, J. Zhong
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引用次数: 1

Abstract

In this study, the variations of topside ionospheric irregularities during 24 geomagnetic storms with Dst < -50 nT in 2015 were examined through an algorithm specifically designed to detect a significant level of ionospheric irregularities. The algorithm was developed through the use of several parameters derived from the topside total electron content (TEC) observations from GRACE, Swarm-C, and Swarm-B. The local time characteristics of the observed equatorial plasma irregularities (EPIs) were analyzed during different phases of the storms, within 30 S-30 N magnetic latitudes. By comparing its results with corresponding in-situ electron density data and the results of previous studies, the algorithm was found to be efficient. It was observed that the detected EPIs at different stages of the storm showed local time dependence. For instance, EPIs were observed during nighttimes, but took place in the daytime occasionally during the storm main phase. Furthermore, the percentage occurrence rates were most prominent during the main phase at the post-sunset sector within less than 6 hours of the storm onset. On the other hand, the occurrence rates became prominent in the postmidnight/morning sector during the recovery phase and even higher than observed in the post-sunset sector. Based on these findings it was concluded that the dominant driver of the enhanced EPIs during the post-midnight/daytime sector could be associated with disturbance dynamo electric fields.
2015年地磁风暴期间表层电离层不规则性的研究
本文研究了2015年24次Dst < -50 nT的地磁风暴期间上层电离层不规则性的变化,通过专门设计的算法检测电离层不规则性的显著水平。该算法是通过使用来自GRACE、Swarm-C和Swarm-B的上层总电子含量(TEC)观测数据的几个参数开发的。在30 S-30 N磁纬范围内,分析了风暴不同阶段赤道等离子体异常的局地时间特征。将所得结果与相应的原位电子密度数据和前人的研究结果进行比较,发现该算法是有效的。在风暴的不同阶段所探测到的epi具有当地时间依赖性。例如,epi是在夜间观测到的,但偶尔会在白天的风暴主阶段发生。此外,在风暴发生后不到6小时内,日落后扇区的主要阶段发生率最为突出。另一方面,在恢复阶段,午夜后/上午时段的发生率变得突出,甚至高于日落后时段的发生率。在此基础上得出结论,午夜后/白天扇区epi增强的主要驱动因素可能与扰动发电机电场有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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