Geomagnetic jerk extraction based on the covariance matrix

Feng Yan; Jiang Yun-Shan; Gu Jia-Lin; Xu Fan; Jiang Yi; Liu Shuang

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Geomagnetic jerk extraction based on the covariance matrix

机译：基于协方差矩阵的地磁冲击率提取

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We 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.

机译：我们对来自43个中国天文台的数据进行归一化，并从记录最连续的10个中国天文台中选择数据，以通过计算年度观测值与CHAOS-6模型月均值之间的偏差来评估长期变化（SVs）和地磁冲击。利用残差的协方差矩阵研究了北，东和垂直本征方向的变化，我们发现垂直方向受磁层环流的强烈影响。为了获得无噪声的数据，我们依靠残差的协方差矩阵将最大特征值或矢量由于环电流而产生的噪声去除。最后，我们将来自十个中国天文台和七个欧洲天文台的数据进行了比较。显然，协方差矩阵方法可以模拟Dst的SV，2014年北向分量的加速度率和中国2003.5中东向分量的加速度率与欧洲的垂直向下分量的SV高度吻合，与CHAOS-6相比，协方差矩阵方法可以显示SV的更多细节。

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《应用地球物理（英文版）》 |2019年第2期|153-159|共7页
作者
Feng Yan; Jiang Yun-Shan; Gu Jia-Lin; Xu Fan; Jiang Yi; Liu Shuang;
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作者单位

The College of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China;

State Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing 100190, China;

NUIST Reading Academy, Nanjing 210044, China;

NUIST Reading Academy, Nanjing 210044, China;

NUIST Reading Academy, Nanjing 210044, China;

The College of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China;

The College of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China;

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正文语种 eng
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Geomagnetic jerk extraction based on the covariance matrix

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