| 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 Publication | RADIO SCIENCE
 |
| 2011 | |
| Volume | 46Pages:RS6008 |
| ISSN | 0048-6604 |
| Language | 英语 |
| Abstract | 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.; 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 By | SCI ; 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 |
| Identifier | http://ir.nssc.ac.cn/handle/122/3316 |
| Collection | 空间科学部 |
| Corresponding Author | Ban, 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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| File Name/Size | DocType | Version | Access | License | ||
| 201146RS6008.pdf（290KB） | 开放获取 | CC BY-NC-SA | View Download | |||
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