测绘通报 ›› 2018, Vol. 0 ›› Issue (1): 112-116.doi: 10.13474/j.cnki.11-2246.2018.0021

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Impact of Deviation of GPT Model and GPT2 Model on Positioning Results

ZHENG Yun1, WANG Hongdong2   

  1. 1. Fujian Earthquake Agency, Fuzhou 350003, China;
    2. Fujian Surveying and Mapping Institute, Fuzhou 350003, China
  • Received:2017-04-10 Online:2018-01-25 Published:2018-02-05

Abstract:

The global models of pressure and temperature GPT and GPT2 can be used to obtain meteorological elements such as pressure and temperature of GPS sites,which play an important role in calculating tropospheric delay and are widely used in high precision GPS data analysis.The improvement of GPT2 model to GPT model has been validated in many literatures while there is no detailed analysis on the deviations of coordinate time series obtained by using these two models respectively.In this paper,we use the GPT model and GPT2 model to deal with the same continuous observation data respectively.As a result,we find that the seasonal variation of the deviation of the pressure leads to the seasonal variation of the site vertical positioning estimates,which is one of the sources that lead to aliased seasonal signals.Simultaneously,the influence of the deviation of the pressure on the site vertical positioning estimates is related to the site latitude,showing that the ratio of the deviation of the priori zenith delay to the vertical position is increased as the latitude of the site increases.

Key words: GPT, GPT2, GPS, tropospheric delay, positioning results

CLC Number: