Precipitable water vapor estimation in India from GPS-derived zenith delays using radiosonde data

被引:2
|
作者
Dinesh Singh
Jayanta Kumar Ghosh
Deepak Kashyap
机构
[1] Indian Institute of Technology Roorkee,Department of Civil Engineering
来源
关键词
Global Position System; Precise Point Position; International GNSS Service; Global Position System Data; Precipitable Water Vapor;
D O I
暂无
中图分类号
学科分类号
摘要
One of the most recent applications of global positioning system (GPS) is the estimation of precipitable water vapor (PWV). It requires proper modeling to extract PWV from zenith wet delay (ZWD). The existing global models take no account of latitudinal and seasonal variation of meteorological parameters in the atmosphere. In fact, they ignore the atmospheric conditions at a specific location. Therefore, site-specific PWV models have been developed for five stations spread over the Indian subcontinent, using 3-year (2006–2008) radiosonde data from each of these stations. Furthermore, a similar regional PWV model is also developed for the Indian region. The purpose of the developed site-specific as well as regional model was to convert ZWDs into PWV without using surface meteorological parameters. It has been found that the developed regional and site-specific PWV models show about mm-level accuracy in estimating PWV using derived ZWD from radiosonde as input. The developed site-specific, regional models were also used to extract PWV from GPS-derived ZWD at Bangalore and New Delhi. The accuracy of the developed site-specific and regional model is of the same level. The PWV accuracy obtained with the developed regional model is about 6.28, 6.6 mm in comparison to radiosonde PWV at Bangalore and New Delhi, respectively.
引用
收藏
页码:209 / 220
页数:11
相关论文
共 50 条
  • [21] Determining precipitable water in the atmosphere of Iran based on GPS zenith tropospheric delays
    Sadeghi, Elaheh
    Mashhadi-Hossainali, Masoud
    Etemadfard, Hossein
    ANNALS OF GEOPHYSICS, 2014, 57 (04)
  • [22] A global empirical model for mapping zenith wet delays onto precipitable water vapor using GGOS Atmosphere data
    Yao YiBin
    Xu ChaoQian
    Zhang Bao
    Cao Na
    SCIENCE CHINA-EARTH SCIENCES, 2015, 58 (08) : 1361 - 1369
  • [23] A global empirical model for mapping zenith wet delays onto precipitable water vapor using GGOS Atmosphere data
    YiBin Yao
    ChaoQian Xu
    Bao Zhang
    Na Cao
    Science China Earth Sciences, 2015, 58 : 1361 - 1369
  • [24] A global empirical model for mapping zenith wet delays onto precipitable water vapor using GGOS Atmosphere data
    YAO YiBin
    XU ChaoQian
    ZHANG Bao
    CAO Na
    Science China Earth Sciences, 2015, 58 (08) : 1361 - 1369
  • [25] Flash Floods Prediction Using Precipitable Water Vapor Derived From GPS Tropospheric Path Delays Over the Eastern Mediterranean
    Ziv, Shlomi Ziskin
    Reuveni, Yuval
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [26] The diurnal variability of precipitable water vapor derived from GPS tropospheric path delays over the Eastern Mediterranean
    Ziv, Shlomi Ziskin
    Yair, Yoav
    Alpert, Pinhas
    Uzan, Leenes
    Reuveni, Yuval
    ATMOSPHERIC RESEARCH, 2021, 249
  • [27] ESTIMATION OF PRECIPITABLE WATER VAPOUR FROM GROUND BASED GPS MEASUREMENTS AND RADIOSONDE DATA IN SOUTHEAST ASIAN-PACIFIC
    Malik, Jabir Shabbir
    Barket, Ali Raza
    ACTA GEODYNAMICA ET GEOMATERIALIA, 2023, 20 (02): : 29 - 47
  • [28] Monitoring and Prediction of Precipitable Water Vapor using GPS data in Turkey
    Ansari, Kutubuddin
    Althuwaynee, Omar F.
    Corumluoglu, Ozsen
    JOURNAL OF APPLIED GEODESY, 2016, 10 (04) : 233 - 245
  • [29] Verification of NWP Model Analyses and Radiosonde Humidity Data with GPS Precipitable Water Vapor Estimates during AMMA
    Bock, O.
    Nuret, M.
    WEATHER AND FORECASTING, 2009, 24 (04) : 1085 - 1101
  • [30] Fusion of Radiosonde and GPS Data for Water Vapor Tomography
    Liu, Na
    Zhang, Pengfei
    Gao, Yuping
    Wang, Pingli
    Zhao, Chengshi
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2019 PROCEEDINGS, VOL I, 2019, 562 : 114 - 121