Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-18T20:42:32.995Z Has data issue: false hasContentIssue false

Electron Density Profiles Derived From Ground-Based GPS Observations

Published online by Cambridge University Press:  23 August 2006

Shuanggen Jin
Affiliation:
Korea Astronomy and Space Science Institute, South Korea Email: [email protected]; [email protected])
J.U. Park
Affiliation:
Korea Astronomy and Space Science Institute, South Korea
J.L. Wang
Affiliation:
School of Surveying and Spatial Information System, University of New South Wales, Australia
B.K. Choi
Affiliation:
Korea Astronomy and Space Science Institute, South Korea
P.H. Park
Affiliation:
Korea Astronomy and Space Science Institute, South Korea

Abstract

Nowadays GPS is widely used to monitor the ionosphere. However, the current results from ground-based GPS observations only provide some information on the horizontal structure of the ionosphere, and are extremely restricted in mapping its vertical structure. In this paper, tomography reconstruction technique was used to image 3D ionospheric structure with ground-based GPS. The first result of the 3D images of the ionospheric electron density distribution in South Korea has been generated from the permanent Korean GPS Network (KGN) data. Compared with the profiles obtained by independent ionosondes at or near the GPS receiver stations, the electron density profiles obtained by the GPS tomographic construction method are in better agreement, showing the validity of the GPS ionospheric tomographic reconstruction. It has also indicated that GPS-based 3D ionospheric mapping has the potential to complement other expensive observing techniques in ionospheric mapping, such as ionosondes and radar.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Afraimovich, E.Kosogorov, E. A. and Leonovich, L. A. (2000). Determining parameters of large scale traveling ionospheric disturbances of auroral origin using GPS arrays. Journal of Atmospheric and Solar Terrestrial Physics, 62, 553565.CrossRefGoogle Scholar
Afraimovich, E. LAstafieva, E. I. and Voyeikov, S. V. (2004). Isolated ionospheric disturbances as deduced from global GPS network. Annales Geophysicae, 22, 4762.CrossRefGoogle Scholar
Austen, J. R.Franke, S. G. and Liu, C. H. (1988). Ionospheric imaging using computerized tomography, Radio Sci., 23, 299307.CrossRefGoogle Scholar
Bilitza, D. (2001). International Reference Ionosphere 2000, Radio Sciences, 36, 261275.CrossRefGoogle Scholar
Ezquer, R. G.Jadur, C. A. and Mostert, M. (1998). IRI-95 TEC predictions for the South American peak of the equatorial anomaly. Advance in Space Research. 22, 811814.CrossRefGoogle Scholar
Gordon, R.Bender, R. and Therman, G. (1970). Algebraic Reconstruction Techniques (ART) for three Dimensional Electron Micoscopy and X-ray Photography. J.Theor.Biol, 29, 471481.CrossRefGoogle Scholar
Jakowski, N.Wehrenpfennig, A.Heise, S.Reigber, C.Lühr, H.Grunwaldt, L. and Meehan, T. (2002). GPS radio occultation measurements of the ionosphere from CHAMP: Early results. Geophysical Research Letters, 29, 951954.CrossRefGoogle Scholar
Jin, S. G.Wang, J. L.Zhang, H. P. and Zhu, W. Y. (2004). Real-time monitoring and prediction of the total ionospheric electron content (TEC) by means of GPS. Chinese Astronomy and Astrophysics, 28, 3, 331337.Google Scholar
Klobuchar, J. K. (1991). Ionospheric effects on GPS. GPS World, 4851.Google Scholar
Tsai, L. C.Liu, C. H.Tsai, W. H. and Liu, C. T. (2002). Tomographic imaging of the ionosphere using the GPS/MET and NNSS data. J. Atmos. Sol. Terr. Phys. 64, 20032011.CrossRefGoogle Scholar
Mannucci, A. J.Wilson, B. and Yuan, D N. (1998). A global mapping technique for GPS-derived ionospheric total electron content measurements. Radio Science, 33(3): 565574.CrossRefGoogle Scholar
Otsuka, Y.Ogawa, T.Saito, A. and Tsugawa, T. (2002). A new technique for mapping of total electron content using GPS network in Japan. Earth Planets Space, 54: 6370.CrossRefGoogle Scholar
Reinishch, B. W.Haines, D. M.Benson, R. F.Green, J. L.Sales, G. S; and Taylor, W. (2001). Radio sounding in space: Magnetosphere and topside ionosphere. J. Atmos. Sol. Terr. Phys. 63, 8798.CrossRefGoogle Scholar
Raymund, T. D.Austen, J. R. and Franke, S. J. (1990). Application of computerized tomography to the investigation of ionospheric structures. Radio Science, 25, 771789.CrossRefGoogle Scholar
Ruffini, G.Flores, A. and Rius, A. (1998). GPS Tomography of the Ionospheric Electron Content with a Correlation Functional. IEEE Transactions on Geoscience and Remote Sensing, 36(1): 143153.CrossRefGoogle Scholar
Schaer, S. (1999). Mapping and Predicting the Earth’s Ionosphere Using the Global Positioning System. Ph.D dissertation, Astronomical Institute, University of Berne, Switzerland.Google Scholar
Tsunoda, R. T. (1988). High-latitude F-region irregularities: a review and synthesis. Rev. Geophy., 26, 719760.CrossRefGoogle Scholar
Wall, M. E.Dyck, P. A. and Brettin, T. S. (2001). SVDMAN – singular value decomposition analysis of microarray data. Bioinformatics, 17, 566–68.CrossRefGoogle ScholarPubMed