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Investigation of Strong Geomagnetic Storms Using Multidisciplinary Big Data Sets

机译:利用多学科大数据集研究强地磁风暴

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The paper contains an overview of world data centres as INETMAGNET, SWS, DIAS, IGS, and EUREF, which are repositories of scientific Big Data sets for studying geomagnetic storms, by the means of the available geomagnetic, ionospheric and GNSS data. As an example, the results of a study based on Wavelet Analysis of the local manifestation of the geomagnetic storm on September 7–8, 2017, using time series of observed geophysical parameters obtained from different stations in the Balkans and from satellite observations, are presented. These data include global geomagnetic indexes and local data, in which the H-component of the geomagnetic field, critical frequency foF2 of the ionospheric F2 layer, and VTEC from GPS observations at a separate measuring station are included too. Specific features of the local manifestation of this storm event are outlined, based on the performed joint analysis and comparison of the geophysical parameters.
机译:本文包含INETMAGNET,SWS,DIAS,IGS和EUREF等世界数据中心的概述,它们是利用可用的地磁,电离层和GNSS数据研究地磁暴的科学大数据集的存储库。举例来说,提出了一项基于对巴尔干地区不同站点和卫星观测所获得的观测地球物理参数的时间序列的,基于2017年9月7日至8日的地磁风暴局部表现的小波分析的研究结果。 。这些数据包括全局地磁索引和本地数据,其中还包括地磁场的H分量,电离层F2层的临界频率foF2以及在单独的测量站进行GPS观测得到的VTEC。根据进行的联合分析和地球物理参数的比较,概述了这场风暴事件的局部表现的特定特征。

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