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Chinese Journal of Space Science ›› 2015, Vol. 35 ›› Issue (1): 26-39.doi: 10.11728/cjss2015.01.026

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New regional geomagnetic activity index based on multi-station observation

Wang Chuqin1,2,3, Du Dan2, Zhang Xiaoxin2, Zhao Mingxian2, Jiang Yong1   

  1. 1. School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044;
    2. National Satellite Meteorological Center, Beijing 100081;
    3. Meterological Information Center of Yunnan Province, Kunming 650034
  • Received:2014-02-24 Revised:2014-09-17 Online:2014-12-15 Published:2014-12-31

Abstract:

With the data of 14 geomagnetic observatories in China and 23 geomagnetic observatories abroad, both temporal and spatial variation characteristics of rH index are analyzed. And the 14 geomagnetic observatories in China are divided into 7 regions by using K-means clustering algorithm based on the similarity measurement, and the residual index (Ra) of rH index between each two observatories. Then the regional rH index (Rr) of each region is calculated by linear weighted sum method. The results show that rH has a periodic change in 27 days, which is the solar rotation cycle. Although no significant seasonal variation is found in rH, it is also shown that the average of rH in spring and autumn is greater than in summer and winter. For spatial variations, rH increases with the latitude. There are some obvious difference in amplitude and morphology of rH during geomagnetic storms, and the feature of dusk-dawn asymmetry is found. Comparison with the observational data of H component and other Global geomagnetic activity indices, such as Dst, SYM-H and Kp, indicate that Rr can reflect the regional geomagnetic disturbance effectively.

Key words: rH index, Temporal and spatial distribution, Residual index, K-means clustering, Regional geomagnetic activity index

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