Atmospheric Water Estimation Using GNSS Precise Point Positioning Method

被引:3
作者
Hankansujarit, Chayanin [1 ]
Andrei, Constantin-Octavian [1 ,2 ]
机构
[1] Chulalongkorn Univ, Fac Engn, Bangkok 10330, Thailand
[2] Natl Land Survey, Finnish Geospatial Res Inst, Dept Geodesy & Geodynam, Helsinki, Finland
来源
ENGINEERING JOURNAL-THAILAND | 2018年 / 22卷 / 06期
关键词
GNSS; PPP; PWV; troposphere; water content;
D O I
10.4186/ej.2018.22.6.37
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The rapid adoption of the GNSS (Global Navigation Satellite System) technology in our modern daily life brings the opportunity to investigate its applicability to areas beyond positioning, navigation and timing, such as meteorology. Due to its high accuracy performance, GNSS (PPP) Precise Point Positioning has become an attractive tool to retrieve the precipitable water vapor (PWV) from the atmosphere. Apart of the GNSS observations, PPP PWV retrieval also requires surface pressure and temperature measurements to calculate precisely the wet part of the tropospheric delay and convert it to PWV. This research reports on the atmospheric water estimation using GNSS PPP method. GNSS observations from CUSV IGS tracking station are combined with IGS precise data in order to obtain the best PPP estimates. Forward and backward solutions are combined using a weighted normalized approach. In addition, observation data from two meteorological stations is used in PWV estimation. The numerical analysis covered the entire year of 2016. Our analyses show that PPP combined solutions are in very good agreement with IGS official products in terms of coordinates and zenith tropospheric delays. In addition, PPP PWV estimates display seasonal and temporal variation in the water content of the atmosphere. The PWV values over 65 mm were found to be from May to November, whereas they were on average 20% lower for the other months of the year. Furthermore, PWV estimates were found to be correlated with local rainfall events recorded at the meteorological stations. Our research concludes that GNSS data processing using PPP method provides high accuracy solution that may be used for retrieving reliably information about the water content in the atmosphere.
引用
收藏
页码:37 / 45
页数:9
相关论文
共 18 条
  • [1] Andrei C.O., 2010, REVCAD J GEODESY CAD, V10, P9
  • [2] Andrei CO, 2009, I NAVIG SAT DIV INT, P2508
  • [3] Assessment of time-series of troposphere zenith delays derived from the Global Data Assimilation System numerical weather model
    Andrei, Constantin-Octavian
    Chen, Ruizhi
    [J]. GPS SOLUTIONS, 2009, 13 (02) : 109 - 117
  • [4] Andrew C, 2014, STUD INTELL, P1
  • [5] Global and Regional Ionospheric Corrections for Faster PPP Convergence
    Banville, Simon
    Collins, Paul
    Zhang, Wei
    Langley, Richard B.
    [J]. NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2014, 61 (02): : 115 - 124
  • [6] BEVIS M, 1994, J APPL METEOROL, V33, P379, DOI 10.1175/1520-0450(1994)033<0379:GMMZWD>2.0.CO
  • [7] 2
  • [8] Uncovering common misconceptions in GNSS Precise Point Positioning and its future prospect
    Choy, Suelynn
    Bisnath, Sunil
    Rizos, Chris
    [J]. GPS SOLUTIONS, 2017, 21 (01) : 13 - 22
  • [9] Modeling tropospheric wet delays with dense and sparse network configurations for PPP-RTK
    de Oliveira, P. S., Jr.
    Morel, L.
    Fund, F.
    Legros, R.
    Monico, J. F. G.
    Durand, S.
    Durand, F.
    [J]. GPS SOLUTIONS, 2017, 21 (01) : 237 - 250
  • [10] The International GNSS Service in a changing landscape of Global Navigation Satellite Systems
    Dow, John M.
    Neilan, R. E.
    Rizos, C.
    [J]. JOURNAL OF GEODESY, 2009, 83 (3-4) : 191 - 198