DOI QR코드

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Long-term analysis of tropospheric delay and ambiguity resolution rate of GPS data

  • Kim, Su-Kyung (Department of Geoinformation Engineering, Sejong University) ;
  • Bae, Tae-Suk (Department of Geoinformation Engineering, Sejong University)
  • 투고 : 2012.12.10
  • 심사 : 2012.12.20
  • 발행 : 2012.12.31

초록

Long-term GPS data analysis was performed in order to analyze the seasonal variation of tropospheric delay and the success rate of the ambiguity resolution. For this analysis, a total of 57 stations including 10 IGS stations in East Asia were processed together with double-differenced observables using Bernese GPS Software V5.0. The time span for this study ranges from 2002.0 to 2012.5 (10.5 years). The average baseline length is 339.0 km and the maximum reaches up to 2,000 km. The analysis is focused on two things: the annual variation of the tropospheric delay and the ambiguity resolution rate. The tropospheric delay is closely related to the weather condition, especially relative humidity, therefore it was estimated that the maximum would be in summer, while reaching its minimum in winter with the apparent seasonal variations. On the contrary, however, the success rate of the ambiguity resolution shows the opposite pattern: its maximum was in winter and minimum in summer. The fact seems to be induced by the surrounding conditions; that is, the trees thick with leaves near the GPS antenna interfere with GPS signals in summer. This seems to confirm partly that there is a distinct trend in the decreasing success rate since 2006 because the trees are growing every year. It is necessary to eliminate the factors that degrade the GPS quality and the tropospheric modeling for Korea needs to be studied further.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea(NRF)

참고문헌

  1. Cho J.M., Yun H.S. and Lee M.R. (2001), Improvement of GPS Relative Positioning Accuracy by Using Crustal Deformation Model in the Korean Peninsula, Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 26(4), pp. 237-247. https://doi.org/10.7848/ksgpc.2011.29.3.237
  2. Ha J.H., Park K.D., Park P.H. and Park J.U. (2005), Analysis of Error Sources in Determination of Tropospheric slant Wet Delay using GPS, Korean Meteorological Society, Vol. 41(3), pp. 337-346.
  3. Hu G. (2009), Analysis of regional GPS campaigns and their alignment to the international terrestrial reference frame (ITRF), Journal of Spatial Science, Vol. 54(1), pp. 15-22. https://doi.org/10.1080/14498596.2009.9635163
  4. IERS (2010), IERS Conventions (2010). Gerard Petit and Brian Luzum (eds.), IERS Technical Note 36, Frankfurt am Main: Verlag des Bundesamts fur Kartographie und Geodasie, pp. 179.
  5. Kim S.K, and Bae T.S. (2012), Analysis of Crustal Deformation on the Korea Peninsula after the 2011 Tohoku Earthquake, Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30(1), pp. 87-96. https://doi.org/10.7848/ksgpc.2012.30.1.087
  6. Lee Y.C. (2002), A Comparison of Correction Models for the Prediction of Tropospheric Propagation Delay of GPS Signals, Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 20(3), pp. 283-291.
  7. Lee W.C. (2005), A Study on the Crustal Velocity Estimation of the Korean Peninsula with GPS, Master's thesis, Sungkyunkwan University, p. 54.
  8. NGII (2010), 국토지리정보원 고시 제2010-189호.
  9. NGII (2012), NGII homepage, http://www.ngii.go.kr/, accessed 2012.
  10. OSO (2012), Onsala Space Observatory, http://froste.oso.chalmers.se/loading/, accessed 2012.
  11. Song D.S. and Yun H.S (2006), Crustal Deformation Velocities Estimated from GPS and Comparison of Plate Motion Model, Korean Society of Civil Engineers, Vol. 26(5), pp. 877-884.
  12. Tregoning P. and Jackson R. (1999), The need for dynamic datums, Geomatics Research Australasia, Vol. 71, December, pp. 87-102.

피인용 문헌

  1. 계절과 날씨에 따른 연간 대류권 지연오차량 변화 vol.37, pp.1, 2012, https://doi.org/10.7848/ksgpc.2019.37.1.1
  2. 딥러닝 기반 GNSS 천정방향 대류권 습윤지연 추정 연구 vol.39, pp.1, 2012, https://doi.org/10.7848/ksgpc.2021.39.1.23