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Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine
Ban, Pan-Pan; Sun, Shu-Ji; Chen, Chun; Zhao, Zhen-Wei; Ban, PP (reprint author), China Res Inst Radiowave Propagat, Qingdao 266107, Peoples R China.
Department空间科学部
Source PublicationRADIO SCIENCE
2011
Volume46Pages:RS6008
ISSN0048-6604
Language英语
AbstractAn empirical model for predicting low-latitude storm-time ionospheric foF2 is developed using the support vector machine technique. Considering that the ionospheric disturbances are mainly caused by interplanetary disturbances, the solar wind data are introduced as model input, as well as the ionospheric observations of Haikou (HK, with geographic coordinates of 110.3 degrees E and 20.0 degrees N, and geomagnetic latitudes of 8.6 degrees N) and Chongqing (CQ, 106.5 degrees E, 29.6 degrees N, and geomagnetic latitudes of 18.1 degrees N) in China. Data from 45 storms are selected as training samples to construct the model, and other 26 storms are used to validate and evaluate the model. The results indicate that the model proposed here can capture the low-latitude ionospheric disturbances most of the time. Compared with another empirical model, STORM, which has been included in International Reference Ionosphere (IRI) as storm time corrections, our model shows remarkable improvement at least for the given events.; An empirical model for predicting low-latitude storm-time ionospheric foF2 is developed using the support vector machine technique. Considering that the ionospheric disturbances are mainly caused by interplanetary disturbances, the solar wind data are introduced as model input, as well as the ionospheric observations of Haikou (HK, with geographic coordinates of 110.3 degrees E and 20.0 degrees N, and geomagnetic latitudes of 8.6 degrees N) and Chongqing (CQ, 106.5 degrees E, 29.6 degrees N, and geomagnetic latitudes of 18.1 degrees N) in China. Data from 45 storms are selected as training samples to construct the model, and other 26 storms are used to validate and evaluate the model. The results indicate that the model proposed here can capture the low-latitude ionospheric disturbances most of the time. Compared with another empirical model, STORM, which has been included in International Reference Ionosphere (IRI) as storm time corrections, our model shows remarkable improvement at least for the given events.
Indexed BySCI ; EI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3316
Collection空间科学部
Corresponding AuthorBan, PP (reprint author), China Res Inst Radiowave Propagat, Qingdao 266107, Peoples R China.
Recommended Citation
GB/T 7714
Ban, Pan-Pan,Sun, Shu-Ji,Chen, Chun,et al. Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine[J]. RADIO SCIENCE,2011,46:RS6008.
APA Ban, Pan-Pan,Sun, Shu-Ji,Chen, Chun,Zhao, Zhen-Wei,&Ban, PP .(2011).Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine.RADIO SCIENCE,46,RS6008.
MLA Ban, Pan-Pan,et al."Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine".RADIO SCIENCE 46(2011):RS6008.
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