GNSS World of China

Volume 48 Issue 3
Jun.  2023
Turn off MathJax
Article Contents
Article Navigation >  GNSS World of China  > 2023  >  48(3): 72-76
CHEN Xiangming, WANG Baobao, LI Ruoyu, LIN Leke, ZHU Qinglin. Influence analysis of different weighted mean temperature models on precipitable water vapor[J]. GNSS World of China, 2023, 48(3): 72-76. doi: 10.12265/j.gnss.2023016
Citation: CHEN Xiangming, WANG Baobao, LI Ruoyu, LIN Leke, ZHU Qinglin. Influence analysis of different weighted mean temperature models on precipitable water vapor[J]. GNSS World of China, 2023, 48(3): 72-76. doi: 10.12265/j.gnss.2023016
shu

Influence analysis of different weighted mean temperature models on precipitable water vapor

doi: 10.12265/j.gnss.2023016
  • 1.

    China Research Institute of Radiowave Propagation, Qingdao 266107, China

  • 2.

    Shijiazhuang Military Representative Office of the Military Representative Bureau of the Equipment Department of Aerospace Systems Center, Shijiazhuang 050081, China

  • Received Date: 2023-02-10
    Available Online: 2023-06-19
    Abstract
  • The weighted mean temperature (WMT) is an important parameter to calculate precipitable water vapor in ground based GNSS meteorology. Four local linear statistical models of the WMT were derived from their historical radiosonde data in 2019. The comparison with other WMT models and the precipitable water vapor calculated by them show that Mao model and Mendes model have higher precision in the four cities, and it is necessary to establish local model for high-precision applications. The findings provide valuable reference for engineering fields concerned with the weighted mean temperature.

     

    • FullText(HTML)
  • loading
    • References(10)
  • [1]
    李征航, 黄劲松. GPS测量与数据处理[M]. 第二版. 武汉: 武汉大学出版社, 2010.
    [2]
    SAASTAMOINEN J. Contribution to the theory of atmospheric refraction[J]. Bulletin geodesique, 1973(105): 279-298. DOI: 10.1007/bf02521844
    [3]
    丁金才. GPS气象学及其应用[M]. 北京: 气象出版社, 2019.
    [4]
    THAYER G D. A improved equation for radio refractivity of air[J]. Radio science, 1974, 9(10): 803-807. DOI: 10.1029/RS009i010p00803
    [5]
    ITU-R. The radio refractive index: its formula and refractivity data[S/OL]. (2015-07)[2023-01-12]. https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.453-11-201507-S!!PDF-E.pdf
    [6]
    BEVIS M, BUSINGER S, HERRING T A, et. al. GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system[J]. Journal of geophysical research atmospheres, 1992, 97(D14): 15787-15801. DOI: 10.1029/92JD01517
    [7]
    MENDES V B, PRATES G, SANTOA L D M, et al. An evaluation of the accuracy of models of the determination of the weighted mean temperature of the atmosphere[C]//Proceedings of the 2000 National Technical Meeting of the Institute of Navigation, 2000.
    [8]
    SOLBRING P. Untersuchungen ber die Nutzung Numerischer Wettermodelle zur Wasserdampfbestmmuna mit Hilfe des Global Positioning Systems[D]. Germany: University FAF Munich, 2000.
    [9]
    SCHUELER T, POSFAY A, HEIN G W, et al. A Global Analysis of the Mean Atmospheric Temperature for GPS Water Vapor Estimation [C]//Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation, 2001.
    [10]
    毛节泰, 李建国. 使用GPS系统遥感中国东部地区水汽分布——原理和回归分析[C]//全球定位系统——气象学研究论文汇编, 北京: 中国气象局国家卫星中心, 1997.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (379) PDF downloads(48) Cited by()
    Proportional views
    Related

    Copyright © 2009《 GNSS World of China 》 Editorial Office

    Address：84 Jianshe Dong Lu, Muye District, Xinxiang City, Henan Province, ChinaChina Pos：453000Tel：0373-3712411Fax：0373-3052232Email：qqdwxt@126.com

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return