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Alternative TitleGeomagnetic jerk extraction based on the covariance matrix
冯彦; 姜云杉; 顾嘉琳; 徐凡; 姜乙; 刘爽
Source Publication应用地球物理
Keyword地磁场 长期变化 协方差矩阵 地磁急变
Other AbstractWe normalize data from 43 Chinese observatories and select data from ten Chinese observatories with most continuous records to assess the secular variations (SVs) and geomagnetic jerks by calculating the deviations between annual observed and CHAOS-6 model monthly means. The variations in the north, east, and vertical eigendirections are studied by using the covariance matrix of the residuals, and we find that the vertical direction is strongly affected by magnetospheric ring currents. To obtain noise-free data, we rely on the covariance matrix of the residuals to remove the noise contributions from the largest eigenvalue or vectors owing to ring currents. Finally, we compare the data from the ten Chinese observatories to seven European observatories. Clearly, the covariance matrix method can simulate the SVs of Dst, the jerk of the northward component in 2014 and that of the eastward component in 2003.5 in China are highly agree with that of Vertically downward component in Europe, compare to CHAOS-6, covariance matrix method can show more details of SVs.
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Document Type期刊论文
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GB/T 7714
冯彦,姜云杉,顾嘉琳,等. 基于协方差矩阵的地磁场急变特征提取研究[J]. 应用地球物理,2019,16(2):153-159.
APA 冯彦,姜云杉,顾嘉琳,徐凡,姜乙,&刘爽.(2019).基于协方差矩阵的地磁场急变特征提取研究.应用地球物理,16(2),153-159.
MLA 冯彦,et al."基于协方差矩阵的地磁场急变特征提取研究".应用地球物理 16.2(2019):153-159.
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