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GNSS World of China

GNSS World of China

Volume 48 Issue 3
Jun.  2023
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Article Contents
Abstract
References
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

  • 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

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  • Received Date: February 09, 2023
  • Available Online: June 18, 2023
    Graphical Abstract
    • 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.
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    • References (10)
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