GNSS World of China

Volume 45 Issue 6
Dec.  2020
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LI Deyan, YANG Weifang, GAO Zhiyu, LI Rongrong. Analysis of influence of different saturated water vapor pressure models on GNSS inversion precipitable water[J]. GNSS World of China, 2020, 45(6): 55-63. doi: 10.13442/j.gnss.1008-9268.2020.06.008
Citation: LI Deyan, YANG Weifang, GAO Zhiyu, LI Rongrong. Analysis of influence of different saturated water vapor pressure models on GNSS inversion precipitable water[J]. GNSS World of China, 2020, 45(6): 55-63. doi: 10.13442/j.gnss.1008-9268.2020.06.008
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Analysis of influence of different saturated water vapor pressure models on GNSS inversion precipitable water

doi: 10.13442/j.gnss.1008-9268.2020.06.008

  • 1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;

  • 2. Nation-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China;

  • 3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China;

  • 4. Institute of Geology, China Earthquake Administration, Beijing 100029, China

  • Received Date: 2020-06-24
    Available Online: 2021-04-09
    Abstract
  • Atmospheric weighted mean temperature (Tm) participation is required for ground-based GNSS water vapor inversion, and saturated water vapor (Es) is an important variable in the calculation process of Tm that effects Tm, so eswill be indirectly affect the inversion accuracy of Precipitable Water Vapor (PWV). In view of the three saturated water vapor pressure models (Magnus-Tetens model, BUCK model, Goff-Gratch model) established by different researchers commonly used in the research of ground-based GNSS water vapor inversion, this paper will research different saturated water vapor pressure models participate in the inversion Whether cause differences in results. Taking Hong Kong as the research area, using GAMIT to solve the Zenith Wet Delay (ZWD) of the dry and rainy season (February and July) in 2016, meanwhile using the sounding data of the King's park sounding station to calculate The Tm of the dry and rainy seasons (February and July) through the way of integrate numerical, and then calculating the PWV of the dry and rainy seasons (February and July) through programing with reference to the inversion steps.Thorough comparing and analyzing to get the effects and reasons of different saturated water vapor pressure models participating in the calculation on Tm and PWV. The results show that between the PWV calculated by the three saturated water vapor pressure models and the true value (PWV calculated by the sounding station) have no statistically significant differences, so all of them can be used to provide the saturated water vapor pressure es in the calculation of Tm, However, through comparative analysis, it is found that some researchers use the variable T in the BUCK model as the dew point temperature instead of the atmospheric temperature to make Tm produce a larger error. The analysis in this paper will provide a certain reference for the treatment of Tm in the subsequent research of ground-based GNSS water vapor inversion.

     

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