Torus Harmonic Analysis and Prediction of Global Ionospheric TEC

被引：0
|
作者：
Feng W. [1 ,2 ]
Zhang C. [2 ]
Wu X. [3 ,4 ]
Wang K. [4 ]
机构：
[1] Institute of Geodesy and Geophysics of Chinese Academy of Sciences, Wuhan
[2] Beijing Satellite Navigation Center, Beijing
[3] College of Earth Science, University of Chinese Academy of Sciences, Beijing
[4] Center for Engineering Design and Research under the Headquarter of General Equipment, Beijing
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2018年 / 47卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Coefficient prediction; Ionospheric TEC; Spherical harmonic model; Time series; Torus harmonic analyzing;
D O I：
10.11947/j.AGCS.2018.20150323
中图分类号：
学科分类号：
摘要：
It is established that an Ionospheric TEC spherical harmonic model based on torus harmonic analysis, by applying the torus harmonic analysis method which is ripe in gravity research into modeling Ionospheric TEC. The characteristics of the proposed model parameters are tested and analyzed in detail. The results show that the proposed model fitting accuracy is excellent. When coefficients truncated to 15th order, the recovery error is less than 4% all the year. The spherical harmonic model has good applicability except the Arctic and the Antarctic area. The characteristics of the proposed spherical harmonic model coefficients is estimated. It is applied that the degree-by-degree residual modeling method, and approaches the regularity of the spherical harmonic coefficients with the use of trend function, power spectrum analysis theory and the ARMA model. The rules of the proposed model coefficient changes are discovered, and then the prediction model is established. Therefore, the prediction based on the model coefficients is achieved. Besides, the accuracy variation problem of prediction coefficients and the data accumulation time of coefficients short-term prediction are analyzed. Finally through the prediction of TEC, the precision of this model is verified. © 2018, Surveying and Mapping Press. All right reserved.
引用
收藏
页码：600 / 610
页数：10
相关论文
共 25 条
  • [1] Yuan Y., Study on Theories and Methods of Correcting Ionospheric Delay and Monitoring Ionosphere Based on GPS, (2002)
  • [2] Zhang H., Ping J., Zhu W., Et al., Brief Review of the Ionospheric Delay Models, Progress in Astronomy, 24, 1, pp. 16-26, (2006)
  • [3] Liu J., Modeling and Predication of Regional Ionospheric TEC based on SCHA Methodology Using Ground-based GPS, (2008)
  • [4] Huo X., Research on Ionospheric Morphology Monitoring and Delay Model Based on GNSS, (2008)
  • [5] Liu J., Chai H., Liu X., Et al., A Predicting Model of Ionospheric Based on ARIMA (p, 1, 1), Journal of Geodesy and Geodynamics, 30, 2, pp. 79-82, (2010)
  • [6] Zhang X., Ren X., Wu F., Et al., Short-term TEC Prediction of Ionosphere Based on ARIMA Model, Acta Geodaetica et Cartographica Sinica, 43, 2, pp. 118-124, (2014)
  • [7] Li Z., Cheng Z., Feng C., Et al., A Study of Prediction Models for Ionosphere, Chinese Journal of Geophysics, 50, 2, pp. 327-337, (2007)
  • [8] Li Z., Li W., Cheng Z., Et al., Direct and Indirect Methods on Predicting Ionosphere and Their Compare, Acta Astronomica Sinica, 49, 1, pp. 29-44, (2008)
  • [9] Li M., Research on Master Control Station Data Processing of Satellite Navigation System, (2008)
  • [10] Zhang C., Xu H., Wu X., On the Torus Approach for Global Spherical Harmonic Computation, Advances in Geodetic and Earth Dynamics, (2004)
123