Extraction of the geomagnetic activity effect from TEC data: A comparison between the spectral whitening method and 28 day running median
Extraction of the geomagnetic activity effect from TEC data: A comparison between the spectral whitening method and 28 day running median
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从TEC数据中提取地磁活动效应:光谱白化方法与28天运行中值的比较
DOI:
10.1002/2016ja023412
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发表时间:
2017-03
影响因子:
2.8
通讯作者:
Huang Chun-Ming
中科院分区:
文献类型:
--
作者:
Chen Zhou;Wang Jing-Song;Deng Yue;Huang Chun-Ming
The spectral whitening method (SWM) has been previously proved to be very effective at identifying ionospheric disturbances on foF2 (the critical frequency of ionospheric F2 layer). To continuously investigate the strength of the new method, in this paper SWM has been used to extract the effect of geomagnetic activity on total electron content (TEC) and has been compared with the traditional 28 day running median centered (RMC) method. First, ionospheric variations during quiet and disturbed conditions are analyzed by both SWM and RMC. The results from RMC, compared with those from SWM, overestimate the disturbance occurrence by about 5–20% during the geomagnetic storms and up to 35% during the quiet time. The possible reason is that the results can be contaminated by the residuals of periodic components in the RMC identified disturbances. Meanwhile, the power spectral analysis of the disturbance field shows that the annual and diurnal variations are still significant in RMC results but very weak in SWM results, which indicates that SWM has some advantage to clean up the background variation. Finally, the analysis of the spatial correlation of the disturbance field with F10.7 and Ap illustrates that the effects of solar and geomagnetic activities from SWM are significantly reduced and enhanced, respectively. It suggests that the SWM is more effective in extracting the effect of geomagnetic activity from TEC than RMC. The relative deviation of TEC derived by SWM is more sensitive to geomagnetic activity than solar activity.
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DOI:
10.1016/j.jastp.2013.05.008
发表时间:
2013-09
影响因子:
1.9
作者:
J. Habarulema;L. McKinnell;D. Burešová;Yongliang Zhang;Gopi K Seemala;C. Ngwira;J. Chum;B. Opperman
通讯作者:
J. Habarulema;L. McKinnell;D. Burešová;Yongliang Zhang;Gopi K Seemala;C. Ngwira;J. Chum;B. Opperman
DOI:
10.1029/gm098p0227
发表时间:
2013-03
期刊:
Geophysical monograph
影响因子:
--
作者:
G. W. Prölss
通讯作者:
G. W. Prölss
影响因子:
2.6
作者:
D. Lekshmi;N. Balan;V. Vaidyan;H. Alleyne;G. J. Bailey
通讯作者:
D. Lekshmi;N. Balan;V. Vaidyan;H. Alleyne;G. J. Bailey
影响因子:
1.9
作者:
A. Mikhailov;A. Depueva;V. Depuev
通讯作者:
A. Mikhailov;A. Depueva;V. Depuev
影响因子:
1.9
作者:
Jing Song Wang;Z. Chen;Chunming Huang
通讯作者:
Jing Song Wang;Z. Chen;Chunming Huang