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GPS 가강수량 산출을 위한 최소 관측세션 지속시간에 대한 분석

An Analysis of the Least Observing-Session Duration of GPS for the Retrieval of Precipitable Water Vapor

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참고문헌

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주제분류대기과학

초록

This study investigated the performances of precipitable water vapor (PWV)retrieval from the sets of ground global positioning system (GPS) signals, each of which haddifferent length of observing-session duration, for the purpose of obtaining as short sessionduration as possible that is required at the least for appropriate retrieval of the PWV for meteorologicalusage. The shorter duration is highly desirable to make the most use of the GPSinstrument on board the mobile observation vehicle making measurements place by place. First, using Bernese 5.0 software the PWV retrieval was conducted with the data sets of GPSsignals archived continuously in 30 seconds interval during 2-month period of January andFebruary, 2012 at Bukgangneung site. Each of the PWVs produced independently using differentsession durations was compared to that of radio-sonde launched at the same GPS location,a Bukgangneung site. Second, the same procedure was done using the data sets obtained fromthe mobile observation vehicle that was operating at Boseong area in Jeonnam province duringChangma observation campaign in 2013, and the results were compared to that at Bukgangneungsite. The results showed that as the observing-session duration increased the retrievalerrors decreased with the dramatic change happening between 3 and 4 hours of the duration. On average, the root mean square error (RMSE) of the retrieved PWV was around 1 mm forthe durations of greater than 4 hours. The results at both the Bukgangneung (fixed site) andBoseong (mobile vehicle) seemed to be fairly comparable with each other. From this study it isbelieved that at least 4 hours of observing-session duration is needed for the retrieval of PWVfrom the ground GPS for meteorological usage using Bernese 5.0 software.

Abstract

This study investigated the performances of precipitable water vapor (PWV)retrieval from the sets of ground global positioning system (GPS) signals, each of which haddifferent length of observing-session duration, for the purpose of obtaining as short sessionduration as possible that is required at the least for appropriate retrieval of the PWV for meteorologicalusage. The shorter duration is highly desirable to make the most use of the GPSinstrument on board the mobile observation vehicle making measurements place by place. First, using Bernese 5.0 software the PWV retrieval was conducted with the data sets of GPSsignals archived continuously in 30 seconds interval during 2-month period of January andFebruary, 2012 at Bukgangneung site. Each of the PWVs produced independently using differentsession durations was compared to that of radio-sonde launched at the same GPS location,a Bukgangneung site. Second, the same procedure was done using the data sets obtained fromthe mobile observation vehicle that was operating at Boseong area in Jeonnam province duringChangma observation campaign in 2013, and the results were compared to that at Bukgangneungsite. The results showed that as the observing-session duration increased the retrievalerrors decreased with the dramatic change happening between 3 and 4 hours of the duration. On average, the root mean square error (RMSE) of the retrieved PWV was around 1 mm forthe durations of greater than 4 hours. The results at both the Bukgangneung (fixed site) andBoseong (mobile vehicle) seemed to be fairly comparable with each other. From this study it isbelieved that at least 4 hours of observing-session duration is needed for the retrieval of PWVfrom the ground GPS for meteorological usage using Bernese 5.0 software.

참고문헌 (29)

  1. Bevis, M., "GPS Meteorology:Remote sensing of atmospheric water vapor using the global positioning system", J. Geophys. Res., 97, pp.15787~15801 (1992)
  2. Chen, H. -Y., "GPS medium-range kinematic positioning for the seafloor geodesy off eastern Taiwan", Eng. J., 15, pp.17~24 (2011)
  3. Daud, M. E., "Long-baseline quasi-real time kinematic GPS data analysis for early tsunami warning", Earth Planets Space, 60, pp.1191~1195 (2008)
  4. Davis, J. L., "Geodesy by radio interferometry:Effects of atmospheric modeling errors on estimates of baseline length", Radio. Sci., 20, pp.1593~1607 (1985)
  5. Dietrich, S. V. R., "Comparison of tropospheric water vapor over Antarctica derived from AMSU-B data, ground-based GPS data and the NCEP", NCAR reanalysis, 2004, pp.82, 259~267
  6. Eckl, M. C., "Accuracy of GPS-derived relative positions as a function of interstation distance and observing-session duration", J. Geodesy, 75, pp.633~640 (2001)
  7. Elgered, G., "Geodesy by radio interferometry: Water vapor radiometry for estimation of the wet delay", J. Geophys. Res., 96, pp.6541~6555 (1991)
  8. Estey L. H., "TEQC: The multipurpose toolkit for GPS", GLONASS data, 1999, pp.3, 42~49
  9. Gradinarsky, L. P., "Climate monitoring using GPS", Phys. Chem. Earth, 27, pp.335~340 (2002)
  10. Groves, P. D., "Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigations System" (2007), Artech House
  11. 하지현, "GPS 가강수량 결정을 위한 한국형 평균온도식 비교", Journal of Astronomy and Space Sciences, 25(4), pp.425~434 (2008), 한국우주과학회
  12. 김두식, "기상자료 보간 방법에 의한 GPS기반 가강수량 산출 정확도 분석", 한국공간정보학회지, 18(4), pp.33~41 (2010), 한국공간정보학회
  13. Kim, D. S., "Variation of position accuracy due to observation time and baseline distance in GPS survey", Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 2010, pp.187~190 (2010)
  14. 김기훈, "KEOP-2007 라디오존데 관측자료를 이용한 장마 특성 분석: Part I. 라디오존데 관측 자료 평가 분석", 대기, 19(2), pp.213~226 (2009), 한국기상학회
  15. Kuo, Y. -H., "Assimilation of precipitable water measurements into a mesoscale numerical model", Mon. Wea. Rev., 121, pp.1215~1238 (1993)
  16. Kwon, H. -T., "Comparison of precipitable water derived from ground-based GPS measurements with radiosonde observations over the Korean peninsula", J. Meteor. Soc. Japan, 85, pp.733~746 (2007)
  17. Leica Geosystems, "General guide to static and rapidstatic", GPS System 500, 12~ (2000)
  18. Liou, Y. -A., "Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes", J. Appl. Meteorol., 40, pp.5~15 (2001)
  19. Martin, A., "Kinematic GNSS-PPP results from various software packages and raw data configurations", Sci. Res. Essays, 7, pp.419~431 (2012)
  20. Nakamura, H., "Aerological Observatory, Meteorological Instruments Center, 2004: Dry biases of humidity measurements from Vaisala RS80-A and Meisei RS2-91 Radiosondes and from groundbased GPS", J. Meteor. Soc. Japan, 82, pp.277~299 (2004)
  21. Nam, Y. S., "Comparison of GPS estimates of wet tropospheric delays with WVR measurements", Proc. 9th Int. Tech. Meeting of the ION, pp.827~834 (1996)
  22. Ohtani, R., "Comparisons of GPSderived precipitable water vapors with radiosonde observations in Japan", J. Geophys. Res., 105, pp.26917~26930 (2000)
  23. Pacione, R., "Comparison of atmospheric parameters derived from GPS, VLBI and a ground-based microwave radiometer in Italy", Phys. Chem. Earth, 27, pp.309~316 (2002)
  24. Psimoulis, P. A., "Estimating the optimum duration of GPS static observations for short baseline length determination in Greece", FIG Working Week 2004, TS 29.6, ~ (2004)
  25. Rocken, C., "GPS Networks for Atmospheric Sensing", Proc. ION National Technical Meeting (2000)
  26. Saastamoinen, J. H., "Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites", Geophys. Monogr., 15, pp.247~252 (1972)
  27. 손동효, "DGNSS 기준국 관측환경 분석", 한국항해항만학회지, 35(8), pp.625~629 (2011), 한국항해항만학회
  28. 손동효, "NDGPS 관측자료의 품질향상을 위한 비교실험", 한국항해항만학회지, 36(8), pp.625~630 (2012), 한국항해항만학회
  29. Wang, J., "Corrections of humidity measurement errors from Vaisala RS80-Radiosonde-Application to TOGA COARE data", J. Atmos. Oceanic Technol., 19, pp.981~1002 (2002)

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