Browse > Article
http://dx.doi.org/10.7848/ksgpc.2019.37.1.1

Comparative Analysis of Annual Tropospheric Delay by Season and Weather  

Lim, Soo-Hyeon (Dept. Environment, Energy & Geoinformatics, Sejong University)
Kim, Ji-Won (Dept. Environment, Energy & Geoinformatics, Sejong University)
Park, Jeong-Eun (Dept. Environment, Energy & Geoinformatics, Sejong University)
Bae, Tae-Suk (Dept. Environment, Energy & Geoinformatics, Sejong University)
Hong, Sungwook (Dept. Environment, Energy & Geoinformatics, Sejong University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.37, no.1, 2019 , pp. 1-7 More about this Journal
Abstract
In this study, we estimated the tropospheric delay of GNSS (Global Navigation Satellite System) signals during passing through the atmosphere in relation to weather and seasonal factors. For this purpose, we chose four CORS (Continuously Operating Reference Station) stations from inland (CCHJ and PYCH) and on the coast (GEOM and CHJU). A total of 48 days for each station (one set of data for each week) were downloaded from the NGII (National Geographic Information Institute) and processed it using the scientific GNSS software. The average tropospheric delays in winter are less than 2,400 mm, which is about 200 mm less than those in summer. The estimated tropospheric delay shows a similar pattern from all stations except the absolute bias in magnitude, while a large delay was observed for the station located on the coast. In addition, the delay during the day was relatively stable in winter, and the average tropospheric delay was strongly related to the orthometric height. The inland stations have tropospheric delays by the precipitation rather than humidity due to dry weather and difference in temperature. On the contrary, it was primarily caused by the humidity on the sea. The correlation between temperature and water vapor pressure is 0.9 or larger for all stations, and the tropospheric delay showed a high linear relationship with temperature. It is necessary to analyze the GNSS data with higher temporal resolution (e.g. all RINEX data of the year) to improve the stability and reliability of the correlation results.
Keywords
Zenith Total Delay; Weather and Seasonal Factors; Precise Point Positioning; Humidity; Rainfall;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Bae, T.-S. (2018), Accuracy analysis of GNSS-based public surveying and proposal for work processes, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 6 (in press).
2 Nam, J.Y. and Song, D. (2015), Remote sensing of GPS precipitable water vapor during 2014 heavy snowfall in Gangwon province, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 4, pp. 305-316.   DOI
3 Hofmann-Wellenhof, B., Lichtenegger, H., and Collins, J. (1997), GPS: Theory and Practice (4th), Springer-Verlag, Wien New York.
4 Hong, C.-K. (2012), Kalman filter modeling for the estimation of tropospheric and ionospheric delays from the GPS network, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30, No. 6, pp. 575-581.   DOI
5 Song, D. (2018), Regional Ts-Tm relation to improve GPS precipitable water vapor conversions, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 1, pp. 33-39.   DOI
6 Kim, J.S. and Bae, T.-S. (2015), Comparative analysis of GNSS precipitable water vapor and meteorological factors, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 4, pp. 317- 324.   DOI
7 Hong, C.-K. (2013), Impact of tropospheric delays on the GPS positioning with double-difference observables, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 31, No. 5, pp. 421- 427.   DOI
8 Jackson, S.L. (2012), Research Methods and Statistics: A Critical Thinking Approach (4th), Cengage Learning.
9 Kim, S.-K. and Bae, T.-S. (2012), Long-term analysis of tropospheric delay and ambiguity resolution rate of GPS data, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30, No. 6-2, pp. 673-680.   DOI
10 Kim, S.-K. and Bae, T.-S. (2018), Long-term GNSS analysis for local geodetic datum after 2011 Tohoku earthquake, The Journal of Navigation, Vol. 71, No. 1, pp. 117-133.   DOI
11 Lee, Y.C. (2003), A comparison of correction models for the prediction of tropospheric propagation delay of GPS signals, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 20, No. 3, pp. 283-291.
12 Lee, H. (2018), Impact of tropospheric modeling schemes into accuracy of estimated ellipsoidal heights by GPS baseline processing: experimental analysis and results, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 4, pp. 245-254.   DOI
13 NGII (2018), National Geographic Information Institute home page, http://map.ngii.go.kr (last date accessed: 30 November 2018).