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Comparison of EEJ Longitudinal Variation from Satellite and Ground Measurements over Different Solar Activity Levels
Universe ( IF 2.5 ) Pub Date : 2021-01-23 , DOI: 10.3390/universe7020023
Wan Nur Izzaty Ismail , Nurul Shazana Abdul Hamid , Mardina Abdullah , Akimasa Yoshikawa , Teiji Uozumi , Zahira Mohd Radzi

The longitudinal variability and local time of equatorial electrojet (EEJ) current using simultaneous data recorded by ground and satellite magnetometers at different levels of solar activity were investigated. In this study, we used data from the CHAMP and Swarm satellites to obtain EEJ current measurements around the globe. The ground data were provided by the MAGDAS, INTERMAGNET, and IIG networks. The ground observation was carried out by analyzing magnetometer data in four different sectors: the South American, Indian, African, and Southeast Asian sectors. These ground data were normalized to the dip equator to overcome the latitudinal variation of each station. The analysis for both measurements was performed using quiet day data. Both the ground and satellite data were categorized according to solar activity level; low, moderate, and high. The results revealed that, during the low solar activity, there was a good agreement between the longitudinal profiles of the EEJ measured using the satellite and the ground data. In general, strong correlations were obtained in most of the sectors where ground data were available between 11 and 13 local time (LT). Besides that, our analysis revealed that the different times of maximum EEJ appearances were seasonally dependent only at certain longitude sectors.

中文翻译:

不同太阳活动水平下卫星和地面测量的EEJ纵向变化的比较

利用地面和卫星磁力计在不同太阳活动水平下记录的同步数据,研究了赤道​​电喷(EEJ)电流的纵向变化和局部时间。在这项研究中,我们使用了来自CHAMP和Swarm卫星的数据来获得全球EEJ的当前测量值。地面数据由MAGDAS,INTERMAGNET和IIG网络提供。地面观测是通过分析四个不同部门的磁力计数据进行的:南美,印度,非洲和东南亚。将这些地面数据归一化为赤道赤道,以克服每个测站的纬度变化。两次测量的分析都是使用安静的数据进行的。地面和卫星数据均根据太阳活动水平进行分类;低,中和高。结果表明,在低太阳活动期间,使用卫星测量的EEJ的纵向剖面与地面数据之间有很好的一致性。通常,在11到13个当地时间(LT)之间可获得地面数据的大多数部门中,都获得了很强的相关性。除此之外,我们的分析表明,最大EEJ出现的不同时间仅在某些经度扇区上具有季节依赖性。
更新日期:2021-01-24
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