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GPS water vapor estimation modeling with high accuracy by consideration of seasonal characteristics on Korea  

Song, Dong-Seob (Ohio State University SPIN Laboratory)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.27, no.5, 2009 , pp. 565-574 More about this Journal
Abstract
The water vapor weighted vertically mean temperature(Tm) models, which were developed by the consideration of seasonal characteristics over the Korea, was used in the retrieval of precipitable water vapor (PWV) from GPS data which were observed at four GPS permanent stations. Since the weighted mean temperature relates to the water vapor pressure and temperature profile at a site, the accuracy of water vapor information which were estimated from GPS tropospheric wet delay is proportional to the accuracy of the weighted mean temperature. The adaption of Korean seasonal weighted mean temperature model, as an alternative to other formulae which are suggested from other nation, provides an improvement in the accuracy of the GPS PWV estimation. Therefore, it can be concluded that the seasonally appropriate weighted mean temperature model, which is used to convert actual zenith wet delay (ZWD) to the PWV, can be more reduced the relative biases of PWV estimated from GPS signal delays in the troposphere than other annual model, so that it would be useful for GPS PWV estimation with high accuracy.
Keywords
Seasonal characteristic; weighted mean temperature model; actual tropospheric wet delay; GPS water vapor;
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1 Bevis, M., S. Businger, T. Herring, C. Rocken, R. Anthes, and R. Ware (1992), GPS meteorology: Remote Sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., Vol. 97, pp. 15,787-15,801
2 Feng, Y., Z. Bai, P. Fang, and A. Williams (2001), GPS Water Vapour Experimental Results From Observations of the Australian Regional GPS Network (ARGN), A Spatial Odyssey : 42nd Australian Surveyors Congress
3 Kalman, R. and R. Bucy (1961), A New Approach to Linear Filtering and Prediction Problems, Transactions of the ASME, Vol. 95, No. 83D
4 Kobayashi, H. (1999), Examination of precipitable water vapor from GPS tropospheric delay in the tropics, Ms. S. dissertation to the University of Tokyo, p. 69
5 Takiguchi, H., T. Kato, H. Kobayashi adn T. Nakaegawa (2000), GPS Observations in Thailand for hydrological applications, Earth Planets and Space, Vol. 52, pp. 913-919   DOI   ScienceOn
6 Yuan, L. L., R. A. Anthes, R. H. Ware, C. Rocken, W. D. Bonner, M. G. Bevis, and S. Businger (1993), Sensing Climate Change Using the Global Positioning System, J. Geophys.Res., Vol. 98, No. D8, pp. 14,925-147,937
7 Mendes, V. B. (1999), Modeling the Neutral-atmosphere propagation Delay in Radiometric Space Techniques, Ph.D. dissertation, Technical Report No. 1999, University of New Brunswick, Frederiction, New Brunswick, Canada
8 Solbrig, P. (2000), Untersuchungen ber die Nutzung numerischer wettermodelle zur Wasserdampfbestimmung mit Hilfe des Global Positioning Systems, Diploma Thesis, Institute of Geodesy and Navigation, University FAF Munich, (In German)
9 송동섭 (2007), GPS 관측데이터 정밀 해석을 통한 가강수량 추정 정확도 향상, 박사학위논문, 성균관대학교, pp. 90-120
10 Ohtani, R. (1999), A study on the evaluation of GPS retrieved precipitable water vapor, Ph. D. dissertation to the University of Tokyo, p. 91
11 Gregorius, T. (1996), GIPSY-OASIS II, How it Works, Department of Geomatics, University of Newcastle upon Tyne
12 Ross, R. J. and S. Rosenfield (1997), Estimating mean weighted temperature of the atmosphere for Global Positioning System applications, J. Geophys.Res., Vol. 102, No. 21, pp. 719-730
13 Brunner, F., W. Welsch (1993), Effect of the Troposphere on GPS Measurements, GPS World, Vol. 4, No. 1, pp. 42-51   ScienceOn
14 Sch\ddot{u}ler, T. (2001), On Ground-Based GPS Tropospheric Delay Estimation, Doctor's Thesis, Studiengang Geosie und Geoinformation, University FAF Munich, Germany
15 Song, D. S., H. S. Yun, and D. L. Lee (2008), Verification of Accuracy of Precipitable Water Vapour from GPS during Typhoon Rusa, Survey Review, Vol. 40, No. 307, pp. 19-28
16 Rocken, C., R. Ware, T. Van Hove, F. Solheim, C. Alber, J. Johnson, M. Bevis, and S. Businger (1993), Sensig atmospheric water vapor with the global positioning system, Geophys.Res.Lett., Vol. 20, No. 23, pp. 2631-2634   DOI   ScienceOn
17 Cao, Y., F. Zheng, Y. Xie, and Y. Bi (2008), Impact of the Weighted Mean Temperature on the Estimation of GPS Precipitable Water Vapor, Microwave and Millimeter Wave Technology, international ICMMT2008 Proceedings, Vol. 2, pp. 799-801
18 Ross, R. J. and W. P. Elliot (1996), Tropospheric precipitable water: A radiosond e-based climatology, NOAA Tech. Memo. ERL ARL-219, National Oceanic and Atmos. Admin, Silver Spring, Md, p. 132
19 두산세계대백과 (2006), 기상학적 계절구분, 엔싸이버, http://www.encyber.com
20 Liou, Y. A, Y. T. Teng (2001), Comparison of Precipitable Water Observations in the Near Tropics by GPS, Microwave Radiometer, and Radiosondes, Journal of Applied Meteorology, Vol. 40,pp. 5-15   DOI   ScienceOn
21 Davis, J. L., T.A. Herring, I.I. Sharpiro, A.E.E. rogers, and G. elgered (1985), Geodesy by Radio Interferometry: Effects of Atmospheric Modeling Errors on Estimates of Baseline Length, Radio Science, Vol. 20, No. 6, pp. 1593-1607   DOI   ScienceOn
22 하지현, 박관동 (2008), GPS 가강수량 결정을 위한 한국형 평균온도식 비교, 한국우주과학회지, 한국우주과학회, 제 25권, 제 4호, pp. 425-434
23 Webb, F. H. and Zumberge, J. F. (1993), An Introduction to th GIPSY/OASIS-II, JPL Publication, Pasadena, Claifornia, D-11088