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Analysis of the ionospheric variability based on wavelet decomposition
Shi Hao ; Zhang DongHe ; Liu YuMei ; Hao YongQiang
刊名science china technological sciences
2015
关键词ionosphere variability foF2 Wavelet decomposition 2-32-day period MESOSPHERE-LOWER THERMOSPHERE RADIATION BELT ELECTRONS PLANETARY-WAVES LONGITUDINAL VARIATION WINTER OSCILLATIONS TIMED/SABER F2-LAYER
DOI10.1007/s11431-014-5709-8
英文摘要In this work, the ionospheric variability is analyzed by applying the wavelet decomposition technique to the noontime foF2, F10.7, interplanetary magnetic field (IMF) Bz, Ap, and lower thermospheric temperature at pressure of 10(-4) hPa in 2002. Results show that the variance of periodic oscillations in the ionosphere is largest in the 2-4-day period and declines with the increase of the period. The maximum variance of the periodic oscillations in solar irradiation is in the 16-32-day period. For geomagnetic activities, most of the variance is about equally distributed on intervals of periods shorter than 32 days. Variance distributions of IMF Bz and lower thermospheric temperature are similar to those of the ionosphere. They show the maximum in the 2-4-day period and decline with the increase of the period. By analyzing the distributions of the variances, the potential connections between the ionosphere and the external sources are discussed.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000347721400019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; SCI(E); EI; 中国科学引文数据库(CSCD); 1; ARTICLE; zhangdh@pku.edu.cn; 1; 174-180; 58
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/155341]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Shi Hao,Zhang DongHe,Liu YuMei,et al. Analysis of the ionospheric variability based on wavelet decomposition[J]. science china technological sciences,2015.
APA Shi Hao,Zhang DongHe,Liu YuMei,&Hao YongQiang.(2015).Analysis of the ionospheric variability based on wavelet decomposition.science china technological sciences.
MLA Shi Hao,et al."Analysis of the ionospheric variability based on wavelet decomposition".science china technological sciences (2015).
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