Journal of Positioning, Navigation, and Timing (J Position Navig Timing; JPNT)
Indexed in KCI (Korea Citation Index)
OPEN ACCESS, PEER REVIEWED
pISSN 2288-8187
eISSN 2289-0866

Accuracy Analysis of Predicted CODE GIM in the Korean Peninsula

CONTENTS

Research article

Citation: Sim, E.-J., Park, K.-D., Park, J.-Y., & Park, B.-G. 2023, Accuracy Analysis of Predicted CODE GIM in the Korean Peninsula, Journal of Positioning, Navigation, and Timing, 12, 423-430.

Journal of Positioning, Navigation, and Timing (J Position Navig Timing) 2023 December, Volume 12, Issue 4, pages 423-430. https://doi.org/10.11003/JPNT.2023.12.4.423

Received on 06 September 2023, Revised on 10 October 2023, Accepted on 06 November 2023, Published on 15 December 2023.

License: Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/bync/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Accuracy Analysis of Predicted CODE GIM in the Korean Peninsula

Ei-Ju Sim1, Kwan-Dong Park1,2†, Jae-Young Park2, Bong-Gyu Park1

1Department of Geoinformatic Engineering, Inha University, Incheon 22212, Korea

2PP-Solution Inc., Seoul 08504, Korea

Corresponding Author: E-mail, kdpark@inha.ac.kr; Tel, +82-032-873-4310; Fax, +82-32-863-1506

Abstract

One recent notable method for real-time elimination of ionospheric errors in geodetic applications is the Predicted Global Ionosphere Map (PGIM). This study analyzes the level of accuracy achievable when applying the PGIM provided by the Center for Orbit Determination of Europe (CODE) to the Korean Peninsula region. First, an examination of the types and lead times of PGIMs provided by the International GNSS Service (IGS) Analysis Center revealed that CODE’s two-day prediction model, C2PG, is available approximately eight hours before midnight. This suggests higher real-time usability compared to the oneday prediction model, C1PG. When evaluating the accuracy of PGIM by assuming the final output of the Global Ionosphere Map (GIM) as a reference, it was found that on days with low solar activity, the error is within ~2 TECU, and on days with high solar activity, the error reaches ~3 TECU. A comparison of the errors introduced when using PGIM and three solar activity indices—Kp index, F10.7, and sunspot number—revealed that F10.7 exhibits a relatively high correlation coefficient compared to Kp-index and sunspot number, confirming the effectiveness of the prediction model.

Keywords

GNSS, ionosphere, CODE GIM

References

International GNSS Service, Ionospheric Products [Internet], cited 2023 Jul 25, available from: https://igs.org/ products/#ionosphere

Jin, X. & Song, S. 2023, Near real-time global ionospheric total electron content modeling and nowcasting based on GNSS observations, Journal of Geodesy, 97, 27. https://doi.org/10.1007/s00190-023-01715-3

Kim, M. & Kim, J. 2016, A Long-term Accuracy Analysis of the GPS Klobuchar Ionosphere Model, Journal of the Korean Society for Aviation and Aeronautics, 24, 11-18. https://doi.org/10.12985/ksaa.2016.24.2.011

Klobuchar, J. A. 1987, Ionospheric Time-Delay Algorithm for Single-Frequency GPS Users, IEEE Transactions on Aerospace and Electronic Systems, AES-23, 325-331. https://doi.org/10.1109/TAES.1987.310829

Lee, C.-M., Park, K.-D., & Lee, S.-U. 2010, Comparison of Real-Time Ionospheric Delay Correction Models for Single-Frequency GNSS Receivers: Klobuchar Model and NeQuick Model, Journal of the Korean Society of Survey, Geodesy, Photogrammetry, and Cartography, 28, 413-420.

Misra, P. & Enge, P. 2006, Global positioning system: Signals, Measurements, and Performance, 2nd ed. (Lincoln, MA: Ganga-Jamuna Press).

Ren, X., Chen, J., Li, X., Zhang, X., & Freeshah, M. 2019, Performance evaluation of real-time global ionospheric maps provided by different IGS analysis centers, GPS Solutions, 23, Article number: 113. https://doi.org/10.1007/ s10291-019-0904-5

Ryu, G., So, H., & Park H. 2018, Performance Analysis of Artificial Neural Network for Expanding the Ionospheric Correction Coverage of GNSS, Journal of Advanced Navigation Technology, 22, 409-414. https:// doi.org/10.12673/JANT.2018.22.5.409

Schaer, S. 1999, Mapping and predicting the Earth’s ionosphere using the Global Positioning System, dissertation, Astron. Inst., Univ. of Bern, Bern.

Wang, C., Xin, S., Liu, X., Shi, C., & Fan, L. 2018, Prediction of global ionospheric VTEC maps using an adaptive autoregressive model. Earth, Planets and Space, 70, Article number: 18. https://doi.org/10.1186/s40623-017-0762-8

Ya’acob, N., Abdullah, M., Ismail. M., Bahari, S. A., & M. K. Ismail. 2008, Ionospheric mapping function for total electron content (TEC) using global positioning system (GPS) data in Malaysia, 2008 IEEE International RF and Microwave Conference, Kuala Lumpur, Malaysia, 2-4 Dec 2008, pp.386-390. https://doi.org/10.1109/ RFM.2008.4897385

Acknowledgments

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음 (과제번호 RS-2022-00141819).

Author contributIons

All the authors have contributed to the presented work. K.D. conceived of the presented idea. E.J. performed the algorithm verification. J.Y. reviewed this work and edit the final manuscript. B.G. performed the tasks required for analysis. K.D. supervised the findings of this work.

Conflicts of interest

The authors declare no conflict of interest.