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Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation

文献类型：期刊论文

作者Xiong, Bo1,5,6; Li, Yuxiao1,5; Yu, Changhao1,5; Li, Xiaolin1,5,6; Li, Jianyong3; Zhao, Biqiang2,4,6; Ding, Feng2,4,6; Hu, Lianhuan2,4,6; Wang, Yuxin1,5; Du, Lingxiao1,5
刊名REMOTE SENSING
出版日期2023-11-01
卷号15期号:21页码:17
关键词total electron content ionospheric model empirical orthogonal function
DOI10.3390/rs15215207
英文摘要Using Global Navigation Satellite Systems (GNSS) observation data for developing a high-precision ionospheric Total Electron Content (TEC) model is one of the essential subjects in ionospheric physics research and the application of satellite navigation correction. In this study, we integrate the Empirical Orthogonal Function (EOF) method with the TEC data provided by the Center for Orbit Determination in Europe (CODE), and observed by the dense GNSS receivers operated by the Crustal Movement Observation Network of China (CMONOC) to construct a regional ionospheric TEC model over China. The EOF analysis of CODE TEC in China from 1998 to 2010 shows that the first-order EOF component accounts for 90.3813% of the total variation of the ionospheric TEC in China. Meanwhile, the average value of CODE TEC is consistent with the spatial and temporal distribution characteristics of the first-order EOF base function, which mainly reflects the latitude and diurnal variations of TEC in China. The first-order coefficient after EOF decomposition shows an obvious 11-year period and semi-annual variations. The maximum amplitude of semi-annual variation mainly appears in March and October, which is closely associated with the variation in geographical longitude, the semi-annual change of the low-latitude electric field, and the ionospheric fountain effect. The second-order coefficient has an evident annual variation, the minimum amplitude mainly occurs in March, August, and September, and the amplitude values in the high solar activity years are more significant than those in the low solar activity years. The third-order coefficient mainly shows the characteristics of annual variation, and the fourth-order coefficient shows the noticeable semi-annual and annual variations. The third and fourth-order coefficients are both modulated by the solar activity index F10.7. The ionospheric TEC model in China, driven by CMONOC real-time GNSS observation data, can better reflect the latitude, local time and seasonal variation characteristics of ionospheric TEC over China. In particular, it can clearly show the spring and autumn asymmetry of ionospheric TEC in the low latitudes. The root mean square error of the absolute error between the model and the actual observation is mainly distributed around 2.45 TECU (1 TECU = 1016 electrons/m2). The values of the TEC model constructed in this study are closer to the actual observed values than those of the CODE TEC in China.
WOS关键词TOTAL ELECTRON-CONTENT ; SEMIANNUAL VARIATION ; ADJACENT AREAS ; LATITUDE ; CLIMATOLOGY ; FIELDS ; MAP
资助项目Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study.
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:001099647800001
资助机构Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study. ; Thanks to the Center for Orbit Determination in Europe for providing the global ionosphere maps and the Crustal Movement Observation Network of China for providing the GNSS data in this study.
源URL[http://ir.iggcas.ac.cn/handle/132A11/110656]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Xiong, Bo
作者单位1.North China Elect Power Univ, Sch Math & Phys, Baoding 071003, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
3.China Earthquake Network Ctr, Beijing 100045, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
5.North China Elect Power Univ, Hebei Key Lab Phys & Energy Technol, Baoding 071003, Peoples R China
6.Chinese Acad Sci, Inst Geol & Geophys, Beijing Natl Observ Space Environm, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Xiong, Bo,Li, Yuxiao,Yu, Changhao,et al. Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation[J]. REMOTE SENSING,2023,15(21):17.
APA Xiong, Bo.,Li, Yuxiao.,Yu, Changhao.,Li, Xiaolin.,Li, Jianyong.,...&Du, Lingxiao.(2023).Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation.REMOTE SENSING,15(21),17.
MLA Xiong, Bo,et al."Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation".REMOTE SENSING 15.21(2023):17.

入库方式： OAI收割

来源：地质与地球物理研究所

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