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http://dx.doi.org/10.11003/JPNT.2021.10.4.271

Variogram Estimation of Tropospheric Delay by Using Meteorological Data  

Kim, Bu-Gyeom (Department of Aerospace Engineering and SNU-IAMD, Seoul National University)
Kim, Jong-Heon (Department of Aerospace Engineering and SNU-IAMD, Seoul National University)
Kee, Changdon (Department of Aerospace Engineering and SNU-IAMD, Seoul National University)
Kim, Donguk (Agency for Defense Development)
Publication Information
Journal of Positioning, Navigation, and Timing / v.10, no.4, 2021 , pp. 271-278 More about this Journal
Abstract
In this paper, a tropospheric delay error was calculated by using meteorological data collect from weather station and Saastamoinen model, and an empirical variogram of the tropospheric delay in the Korean peninsula was estimated. In order to estimate the empirical variogram of the tropospheric delay according to weather condition, sunny day, rainy day, and typhoon day were selected as analysis days. Analysis results show that a maximum correlation range of the empirical variogram on sunny day was about 560 km because there is overall trend of the tropospheric delay. On the other hand, the maximum correlation range of the empirical variogram on rainy was about 150 km because the regional variation was large. Although there is regional variation when the typhoon exists, there is a trend of the tropospheric delay due to a movement of the typhoon. Therefore, the maximum correlation range of the empirical variogram on typhoon day was about 280 km which is between sunny and rainy day.
Keywords
tropospheric delay; meteorological data; Saastamoinen model; variogram;
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  • Reference
1 Guo, Q. 2015, Precision comparison and analysis of four online free PPP services in static positioning and tropospheric delay estimation, GPS Solution, 19, 537-544, https://doi.org/10.1007/s10291-014-0413-5   DOI
2 Kim, D., Song, J., Han, D., Yu, S., Kee, C., et al. 2017, Modified kriging based double-difference tropospheric correction interpolation method for Network RTK user, 30th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2017), Portland, OR, 25-29, Sep 2017, pp.4090-4102. https://doi.org/10.33012/2017.15350   DOI
3 Al-Shaery, A., Lim, S., & Rizos, C. 2010, Functional Models of Ordinary Kriging for Medium Range Real-Time Kinematic Positioning Based on the Virtual Reference Station Technique, 23rd International Technical Meeting of the Satellite Division of the Institute of Navigation 2010, Portland, OR, 21-24, Sep 2010, pp.2513-2521
4 Blanch, J. 2002, An Ionosphere Estimation Algorithm for WAAS Based on Kriging, 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002), Portland, OR, 24-27 Sep 2002
5 Bolton, D. 1980, The computation of equivalent potential temperature, Monthly Weather Review, 108, 1046-1053. https://doi.org/10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO;2   DOI
6 Dai. L., Han, S., Wang, J., & Rizos, C. 2003, Comparison of interpolation algorithms in network based GPS techniques, Navigation, 50, 277-293. https://doi.org/10.1002/j.2161-4296.2003.tb00335.x   DOI
7 Saastamoinen, J. 1972, Atmospheric Correction for the Troposphere and Stratosphere in Radio Ranging Satellites, The Use of Artificial Satellites for Geodesy, 15. https://doi.org/10.1029/GM015p0247   DOI
8 Leandro, R., Santos, M., & Langley, R. B. 2006, UNB neutral atmosphere models: Development and performance, Proceedings of the Institute of Navigation, National Technical Meeting, Monterey, CA, 18-20, 2006, pp.564-573.
9 Mendes, V. B. 1999, Modeling the neutral-atmospheric propagation delay in radiometric space techniques, University of New Brunswick, Fredericton, New Brunswick, Technical Report No.199
10 Askne, J. & Nordius, H. 1987, Estimation of tropospheric delay for microwaves from surface weather data, Radio Science, 22, 379-386. https://doi.org/10.1029/RS022i003p00379   DOI
11 Younes, S. A. M. 2016, Modeling investigation of wet tropospheric delay error and precipitable water vapor content in Egypt, The Egyptian Journal of Remote Sensing and Space Science, 19, 333-342. https://doi.org/10.1016/j.ejrs.2016.05.002   DOI
12 Zheng, Y. & Feng, Y. 2005, Interpolating Residual Zenith Tropospheric Delays for Improved Regional Area Differential GPS Positioning, Navigation, 52, 179-187, https://doi.org/10.1002/j.2161-4296.2005.tb01744.x   DOI