基于多学科大数据集的强地磁风暴研究

Lyubka Pashova, B. Srebrov, O. Kounchev
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引用次数: 1

摘要

本文概述了INETMAGNET、SWS、DIAS、IGS和EUREF等世界数据中心的概况,这些数据中心是利用现有地磁、电离层和GNSS数据研究地磁风暴的科学大数据集的存储库。以2017年9月7-8日巴尔干地区不同台站观测地球物理参数时间序列和卫星观测数据为例,介绍了基于小波分析的地磁风暴局地表现研究结果。这些资料包括全球地磁指数和局部资料,其中还包括地磁h分量、电离层F2层临界频率foF2和单独测量站GPS观测的VTEC。在联合分析和比较地球物理参数的基础上,概述了这次风暴事件局部表现的具体特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Strong Geomagnetic Storms Using Multidisciplinary Big Data Sets
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.
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