Comparison of IRI-2012 and Rapid GIMs With GNSS-Derived TEC Over China
- 1.5k Downloads
The ionospheric delay is one of the predominant errors limiting the accuracy of Global Navigation Satellite Systems (GNSS), especially for single-frequency users. Meanwhile the IGS (International GNSS Service) Ionospheric Working Group and International Reference Ionosphere play an essential role in promoting ionospheric studies. This contribution will analyze the performance of IGS rapid Global Ionospheric Maps (GIMs) and the latest version International Reference Ionosphere model IRI-2012 aiming to provide more valid ionospheric correction in China. Three pairs of stations from CMONOC (Crustal Movement Observation Network of China) in 2013 are employed to analyze the discrepancy between rapid GIMs, IRI-2012 and GNSS-derived TEC. Results show that the rapid GIMs and IRI-2012 have distinct difference from GPS-derived TEC both in daytime and nighttime. In terms of rapid GIMs, the performance over IGS stations is generally better than those are non IGS stations, with pronouncedly better accuracy of about 20 and 50 % in daytime and nighttime respectively with respect to GNSS-derived TEC. Moreover, IRI-2012 is likely to overestimate TEC value in daytime, and underestimate TEC value in nighttime.
KeywordsRapid GIM IRI-2012 GNSS-derived TEC Ionosphere
We thank CDDIS (Crustal Dynamics Data Information System), IGS and COMNOC to allow us to use their data set to finish our research. This research was supported by National 973 (No. 2012CB825604) and 863 programs (No. 2012AA121803), China Natural Science Funds (No. 41304034, 41231064, 41104012 and 41021003), and the CAS/SAFEA International Partnership Program for Creative Research Teams (KZZD-EW-TZ-05).
- 1.Feltens J et al (2011) Comparative testing of four ionospheric models driven with GPS measurements. Radio Sci 46(RS0D12):1–11Google Scholar
- 3.Komjathy A, Langley R (1996) Improvement of a global ionospheric model to provide ionospheric range error corrections for single-frequency GPS users. In: Presented at the ION 52nd annual meeting, vol. 19, Cambridge, MA, pp 21Google Scholar
- 8.Makarevich RA, Nicolls MJ (2013) Statistical comparison of TEC derived from GPS and ISR observations at high latitudes. Radio Sci 48:441Google Scholar
- 9.Komjathy A, Hernández-Pajares M (2004) The IGS global TEC maps: present and future. In: National Radio Science Meeting, Boulder, CO, USAGoogle Scholar
- 10.Hernandez-Pajares M, et al (2009) The IGS VTEC maps: a reliable source of ionospheric information since 1998. J Geodesy 83:263Google Scholar
- 12.Hernández-Pajares M (2004) IGS Ionosphere WG: an overview. In: Proceeding COST, pp 29–29Google Scholar
- 13.Schaer S (1999) Mapping and predicting the Earth’s ionosphere using the global positioning system, PhD Thesis, Astronomical Institute, University of BerneGoogle Scholar
- 14.Yuan Y, Ou J (1999) The effects of instrumental bias in GPS observations on determining ionospheric delays and themethods of its calibration. Acta Geod Cartogr Sin 28:110Google Scholar
- 15.Dach R, Hugentobler U, Fridez P, Meindl M (2007) Bernese GPS software version 5.0. Astronomical Institute, University of Bern p 640Google Scholar
- 16.Li Z, Yuan Y, Fan L, Huo X, Hsu H (2013) Determination of the differential code bias for current BDS satellites.Geoscience and Remote Sensing, IEEE Transactions 52(7):3968–3979Google Scholar
- 18.Komjathy A, Langley RB (1996) An assessment of predicted and measured ionospheric total electron content using a regional GPS Network. In: The Proceedings of the national technical meeting of the Institute of Navigation, pp 615–624Google Scholar