作者:Feng, J (Feng, Jiandi)[ 1 ] ; Wang, Z (Wang, Zhengtao)[ 1,2 ] ; Jiang, W (Jiang, Weiping)[ 3 ] ;Zhao, Z (Zhao, Zhenzhen)[ 4 ] ; Zhang, B (Zhang, Bingbing)[ 1 ]
RADIO SCIENCE
卷: 52 期: 2 DOI: 10.1002/2016RS006171
出版年: FEB 2017
摘要
Compared with regional or global total electron content (TEC) empirical models, single-station TEC empirical models may exhibit higher accuracy in describing TEC spatial and temporal variations for a single station. In this paper, a new single-station empirical total electron content (TEC) model, called SSMmonth, for the O'Higgins Station in the Antarctic Peninsula is proposed by using Global Positioning System (GPS)-TEC data from 01 January 2004 to 30 June 2015. The diurnal variation of TEC in the O'Higgins Station may have changing features in different months, sometimes even in opposite forms, because of ionospheric phenomena, such as the Mid-latitude Summer Nighttime Anomaly (MSNA). To avoid the influence of different diurnal variations, the concept of monthly modeling is proposed in this study. The SSM-month model, which is established by month (including 12 submodels that correspond to the 12 months), can effectively describe the diurnal variation of TEC in different months. Each submodel of the SSM-month model exhibits good agreement with GPS-TEC input data. Overall, the SSM-month model fits the input data with a bias of 0.03 TECU (total electron content unit, 1 TECU = 10(16) elm(-2)) and a standard deviation of 2.78 TECU. This model, which benefits from the modeling method, can effectively describe the MSNA phenomenon without implementing any modeling correction. TEC data derived from Center for Orbit Determination in Europe global ionosphere maps (CODE GIMs), International Reference Ionosphere 2012 (IRI2012), and NeQuick are compared with the SSM-month model in the years of 2001 and 2015-2016. Result shows that the SSM-month model exhibits good consistency with CODE GIMs, which is better than that of IRI2012 and NeQuick, in the O'Higgins Station on the test days.
关键词
KeyWords Plus:TOTAL ELECTRON-CONTENT; INTERNATIONAL REFERENCE IONOSPHERE;RADIO-WAVE PROPAGATION; ART. NO. RS6012; SOLAR EUV FLUX; NEURAL-NETWORK;TOPEX/POSEIDON MEASUREMENTS; REGULARIZED ESTIMATION; MAPS; INTERPOLATION
作者信息
通讯作者地址: Zhao, Z (通讯作者)
| Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China. |
地址:
| [ 1 ] Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Peoples R China |
| [ 2 ] Wuhan Univ, Key Lab Geospace Environm & Geodesy, Minist Educ, Wuhan, Peoples R China |
| [ 3 ] Wuhan Univ, GNSS Res Ctr, Wuhan, Peoples R China |
| [ 4 ] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China |
电子邮件地址:zzzhao@whu.edu.cn
基金资助致谢
基金资助机构 | 授权号 |
National Science Fund for Distinguished Young Scholars | 41525014 |
National Natural Science Foundation of China | 41274032 41474018 41210006 |
National Basic Research Program of China | 2012CB957703 2013CB733301 |
Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University | 15-02-04 |
出版商
AMER GEOPHYSICAL UNION, 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
类别/分类
研究方向:Astronomy & Astrophysics; Geochemistry & Geophysics; Meteorology & Atmospheric Sciences; Remote Sensing; Telecommunications
Web of Science类别:Astronomy & Astrophysics; Geochemistry & Geophysics; Meteorology & Atmospheric Sciences; Remote Sensing; Telecommunications
文献信息
文献类型:Article
语种:English
入藏号: WOS:000397275500002
ISSN: 0048-6604
eISSN: 1944-799X
期刊信息
· Impact Factor (影响因子): 1.273
