Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine

	Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine
	Ban, Pan-Pan; Sun, Shu-Ji; Chen, Chun; Zhao, Zhen-Wei
刊名	RADIO SCIENCE
	2011
卷号	46 页码:RS6008
ISSN号	0048-6604
通讯作者	Ban, PP (reprint author), China Res Inst Radiowave Propagat, Qingdao 266107, Peoples R China.
中文摘要	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.
英文摘要	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.
学科主题	空间物理
收录类别	SCI ; EI
资助信息	Specialized Research Fund for State Key Laboratories; National Natural Science Foundation of China [61032009, 40974092]
语种	英语
公开日期	2014-12-15
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/3316]
专题	国家空间科学中心_空间科学部
推荐引用方式 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.(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.