Abstract
Tropospheric delay is one of the main sources of measurement error in global navigation satellite systems. It is usually compensated by using an empirical correction model. In this paper, temporal and spatial variations of the global zenith tropospheric delay (ZTD) are further analyzed by ZTD time series from global International GNSS Service stations and annual ZTDs derived from global National Centers for Environmental Prediction reanalysis data, respectively. A new ZTD correction model, named IGGtrop, is developed based on the characteristics of ZTD. Experimental results show that this new 3D-grid-based model that accommodates longitudinal as well as latitudinal variations of ZTD performs better than latitude-only based models (such as UNB3, EGNOS, and UNB3m). The global average bias and RMS for IGGtrop are about −0.8 cm and 4.0 cm, respectively. Bias values for UNB3, EGNOS, and UNB3m are 2.0, 2.0, and 0.7 cm, respectively, and respective RMS values 5.4, 5.4, and 5.0 cm. IGGtrop shows much more consistent prediction errors for different areas than EGNOS and UNB3m. In China, the performance of IGGtrop (bias values from −2.0 to 0.4 cm and RMS from 2.1 to 6.4 cm) is clearly superior to those of EGNOS and UNB3m. It is also demonstrated that IGGtrop biases vary little with height, and its RMS values tend to decrease with increasing height. In addition, IGGtrop generally estimates ZTD with greater accuracy than EGNOS and UNB3m in the Southern Hemisphere.
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References
Collins J P, Langley R B. A tropospheric delay model for the user of the Wide Area Augmentation System. Final contract report for Nav Canada, Department of Geodesy and Geomatics Engineering Technical Report No. 187, University of New Brunswick, Fredericton, N.B., Canada, 1997
Collins J P, Langley R B. The Residual Tropospheric Propagation Delay: How Bad Can It Get? In: ION GPS 1998, September 15–18, Nashville, Tennessee, USA, 1998. 729–738
Qu W J, Zhu W Y, Song S, et al. The Evaluation of Precision about Hopfield, Saastamoinen and EGNOS Tropospheric Delay Correction Model (in Chinese). Acta Astronom Sin, 2008, 49: 113–122
RTCA/DO-229C. Minimum Operational Performance Standards for Global Positioning System/Wide Area Augmentation System Airborne Equipment. SC-169, RTCA, Inc., Washington D.C., 2001
Dodson A H, Chen W, Baker H C, et al. Assessment of EGNOS tropospheric correction model. In: ION GPS 1999, September 14–17, Nashville, Tennessee, USA, 1999. 1401–1407
Penna, N, Dodson A, Chen W. Assessment of EGNOS tropospheric correction model. J Navig, 2001, 54: 37–55
Uemo M, Hoshinoo K, Matsunaga K, et al. Assessment of atmospheric delay correction models for the Japanese MSAS. In: ION GPS2001, September 11–14, Salt Lake City, Utah, USA, 2001. 2341–2350
Leandro R F, Santos M C, Langley R B. UNB neutral atmosphere models: development and performance. In: ION NTM 2006, January 18–20, Monterey, California, USA, 2006. 564–573
Leandro R F, Langley R B, Santos M C. UNB3m_pack: A neutral atmosphere delay package for radiometric space techniques. GPS Solut, 2008, 12: 65–70
Leandro R F, Santos M C, Langley R B. A North America Wide Area Neutral Atmosphere Model for GNSS applications. Navigation, 2009, 56: 57–71
Yin H T. Study on the regional tropospheric delay 4-dimension modeling and applications based on the Multiple Reference Stations Networks (in Chinese). Dissertation for the Doctoral Degree. Chengdu: Southwest Jiaotong University, 2006
Yin H T, Huang D F, Xiong Y L, et al. New model for tropospheric delay estimation of GPS signal (in Chinese). Geom Inf Sci Wuhan Univ, 2007, 32: 454–457
Yang L. The theory and research of atmosphere affection to GPS surveying (in Chinese). Dissertation for the Doctoral Degree. Zhengzhou: The PLA Information Engineering University, 2001
Song S L, Zhu W Y, Chen Q M, et al. The establishment of the Chinese model (SHAO) for the tropospheric delay (in Chinese). In: CSNC2010, May 19–21, Beijing, China, 2010
Chen Q M, Song S L, Zhu W Y. The establishment of the global model (SHAO-G) for the tropospheric delay (in Chinese). In: CSNC2011, May 18–20, Shanghai, China, 2011
Dow J M, Neilan R E, Rizos C. The International GNSS Service in a changing landscape of Global Navigation Satellite Systems. J Geod, 2009, 83: 191–198
Jin S G, Park J U, Cho J H, et al. Seasonal variability of GPS-derived zenith tropospheric delay (1994–2006) and climate implications. J Geophys Res, 2007, 112: D09110
Kanamitsu M, Ebisuzaki W, Woollen J. NCEP-DEO AMIP-II Reanalysis (R-2). Bull Atmos Met Soc, 2002, 83: 1631–1643
Thayer G D. An improved equation for the radio refractive index of air. Radio Sci, 1974, 9: 803–807
McCarthy D D, Petit G. IERS Technical Note 32, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, 2004
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Li, W., Yuan, Y., Ou, J. et al. A new global zenith tropospheric delay model IGGtrop for GNSS applications. Chin. Sci. Bull. 57, 2132–2139 (2012). https://doi.org/10.1007/s11434-012-5010-9
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DOI: https://doi.org/10.1007/s11434-012-5010-9