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      KCI등재 SCOPUS

      Retrieval and Validation of Precipitable Water Vapor using GPS Datasets of Mobile Observation Vehicle on the Eastern Coast of Korea

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      https://www.riss.kr/link?id=A103556390

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      다국어 초록 (Multilingual Abstract)

      The results from the Global Positioning System (GPS) measurements of the Mobile Observation Vehicle (MOVE) on the eastern coast of Korea have been compared with REFerence (REF) values from the fixed GPS sites to assess the performance of Precipitable ...

      The results from the Global Positioning System (GPS) measurements of the Mobile Observation Vehicle (MOVE) on the eastern coast of Korea have been compared with REFerence (REF) values from the fixed GPS sites to assess the performance of Precipitable Water Vapor (PWV) retrievals in a kinematic environment. MOVE-PWV retrievals had comparatively similar trends and fairly good agreements with REF-PWV with a Root-Mean-Square Error (RMSE) of 7.4 mm and R2 of 0.61, indicating statistical significance with a p-value of 0.01. PWV retrievals from the June cases showed better agreement than those of the other month cases, with a mean bias of 2.1 mm and RMSE of 3.8 mm. We further investigated the relationships of the determinant factors of GPS signals with the PWV retrievals for detailed error analysis. As a result, both MultiPath (MP) errors of L1 and L2 pseudo-range had the best indices for the June cases, 0.75-0.99 m. We also found that both Position Dilution Of Precision (PDOP) and Signal to Noise Ratio (SNR) values in the June cases were better than those in other cases. That is, the analytical results of the key factors such as MP errors, PDOP, and SNR that can affect GPS signals should be considered for obtaining more stable performance. The data of MOVE can be used to provide water vapor information with high spatial and temporal resolutions in the case of dramatic changes of severe weather such as those frequently occurring in the Korean Peninsula.

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      참고문헌 (Reference)

      1 권병문, "나로호에 탑재된 GPS 수신기의 항법해와 신호대잡음비의 일반복 특성" 한국항공우주학회 39 (39): 774-787, 2011

      2 김두식, "기상자료 보간 방법에 의한 GPS기반 가강수량 산출 정확도 분석" 한국공간정보학회 18 (18): 33-41, 2010

      3 O. Bock, "West African Monsoon observed with ground-based GPS receivers during African Monsoon Multidisciplinary Analysis (AMMA)" Wiley-Blackwell 113 (113): D21105-, 2008

      4 M. Fujita, "Verification of precipitable water vapor estimated from shipborne GPS measurements" Wiley-Blackwell 35 (35): L13803-, 2008

      5 Cucurull, L., "Three-dimensional variational data assimilation of ground-based GPS ZTD and meteorological observations during the 14 December 2001 storm event over the western Mediterranean Sea" 132 : 749-763, 2014

      6 Zhang, K., "The latest development of a network-based RTK system in Australia" 2 (2): 87-94, 2007

      7 Estey, L.H., "TEQC: The multi-purpose toolkit for GPS/GLONASS data" 3 : 42-49, 1999

      8 Shi, J., "Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting" 53 (53): 3452-3459, 2015

      9 최병규, "Real-time GPS Ionospheric TEC Estimation over South Korea" 한국우주과학회 30 (30): 207-212, 2013

      10 Groves, P.D., "Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems" Artech House 64-, 2007

      1 권병문, "나로호에 탑재된 GPS 수신기의 항법해와 신호대잡음비의 일반복 특성" 한국항공우주학회 39 (39): 774-787, 2011

      2 김두식, "기상자료 보간 방법에 의한 GPS기반 가강수량 산출 정확도 분석" 한국공간정보학회 18 (18): 33-41, 2010

      3 O. Bock, "West African Monsoon observed with ground-based GPS receivers during African Monsoon Multidisciplinary Analysis (AMMA)" Wiley-Blackwell 113 (113): D21105-, 2008

      4 M. Fujita, "Verification of precipitable water vapor estimated from shipborne GPS measurements" Wiley-Blackwell 35 (35): L13803-, 2008

      5 Cucurull, L., "Three-dimensional variational data assimilation of ground-based GPS ZTD and meteorological observations during the 14 December 2001 storm event over the western Mediterranean Sea" 132 : 749-763, 2014

      6 Zhang, K., "The latest development of a network-based RTK system in Australia" 2 (2): 87-94, 2007

      7 Estey, L.H., "TEQC: The multi-purpose toolkit for GPS/GLONASS data" 3 : 42-49, 1999

      8 Shi, J., "Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting" 53 (53): 3452-3459, 2015

      9 최병규, "Real-time GPS Ionospheric TEC Estimation over South Korea" 한국우주과학회 30 (30): 207-212, 2013

      10 Groves, P.D., "Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems" Artech House 64-, 2007

      11 Boniface, K., "Potential of shipborne GPS atmospheric delay data for prediction of Mediterranean intense weather events" 13 : 250-256, 2012

      12 Huber, K., "PPP: Precise Point Positioning - Constraints and Opportunities" 1-17, 2010

      13 Bennitt, G.V., "Operational assimilation GPS zenith total delay observations into the Met. Office numerical weather prediction models" 140 : 2706-2719, 2012

      14 Moore, A.W., "National weather service forecasters use GPS precipitable water vapor for enhanced situational awareness during the Southern California summer monsoon" 96 : 1867-1877, 2015

      15 Lee, S.W., "Monitoring precipitable water vapor in real-time using global navigation satellite systems" 87 : 923-934, 2013

      16 Cai, C., "Modeling and assessment of combined GPS/GLONASS precise point positioning" 17 : 223-236, 2013

      17 Daud, M.E., "Long-baseline quasi-real time kinematic GPS data analysis for early tsunami warning" 60 : 1191-1195, 2008

      18 Martin, A., "Kinematic GNSS-PPP results from various software packages and raw data configurations" 7 (7): 419-431, 2012

      19 Webb, S.R., "Kinematic GNSS estimation of zenith wet delay over a range of altitudes" 33 : 3-15, 2016

      20 Takasu, T., "Kalman-filter-based integer ambiguity resolution strategy for longbaseline RTK with ionosphere and troposphere estimation" 161-171, 2010

      21 Larson, K., "Interactions among cloud, water vapor, radiation, and largescale circulation in the tropical climate. Part II:Sensitivity to spatial gradients of sea surface temperature" 16 : 1441-1455, 2003

      22 Macpherson, S.R., "Impact of NOAA ground-based GPS observations on the Canadian regional analysis and forecast system" 136 : 2727-2746, 2008

      23 Kjørsvik, N.S., "Handling of the tropospheric delay in kinematic precise point positioning" 2279-2285, 2006

      24 Davis, J.L., "Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length" 20 : 1593-1607, 1985

      25 김유준, "GPS 가강수량 산출을 위한 최소 관측세션 지속시간에 대한 분석" 한국기상학회 24 (24): 391-402, 2014

      26 하지현, "GPS 가강수량 결정을 위한 한국형 평균온도식 비교" 한국우주과학회 25 (25): 425-434, 2008

      27 Chen, H.Y., "GPS medium-range kinematic positioning for the seafloor geodesy off eastern Taiwan" 15 : 17-24, 2011

      28 Bevis, M., "GPS Meteorology: Remote sensing of atmospheric water vapor using the global positioning system" 97 : 15787-15801, 1992

      29 Takasu, T., "Development, evaluation and application of RTKLIB: A program library for RTK-GPS" 2007

      30 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" 82 : 259-267, 2004

      31 Kwon, H.T., "Comparison of precipitable water derived from ground-based GPS measurements with radiosonde observations over the Korean Peninsula" 85 : 733-746, 2007

      32 Dach, R., "Bernese GPS software version 5.0"

      33 Rocken, C., "Atmospheric water vapor and geoid measurements in the open ocean with GPS" 32 : L12813-, 2005

      34 Skone, S., "Atmospheric moisture estimation using GPS on a moving platform" Institute of Navigation 2 : 1891-1901, 2006

      35 Saastamoinen, J.H., "Atmospheric correction for the troposphere and stratosphere in radio ranging of satellites" 15 : 247-252, 1972

      36 Kuo, Y.H., "Assimilation of precipitable water measurements into a mesoscale numerical model" 121 : 1215-1238, 1993

      37 Eckl, M.C., "Accuracy of GPS-derived relative positions as a function of interstation distance and observing-session duration" 75 : 633-640, 2001

      38 Yao, Y., "A new method to accelerate PPP convergence time by using a global zenith troposphere delay estimation model" 67 : 899-910, 2014

      39 Kim, M.C., "A comprehensive method for GNSS data quality determination to improve ionospheric data analysis" 14 : 14971-14993, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-07-24 학술지등록 한글명 : 대한원격탐사학회지
      외국어명 : Korean Journal of Remote Sensing
      KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.52 0.52 0.54
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.53 0.44 0.725 0.12
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