Abstract:The GAMIT10.7 software is redeveloped based on the Fortran language. We use the Hopfield, Saastamoinen, Black, UNB3, EGNOS, GPT2w_1+Saastamoinen, GPT2w_5+Saastamoinen tropospheric zenith delay models to calculate the tropospheric delay in northwest China, and analyze the adaptability of different tropospheric delay models in the region. The experimental results show that in the measured meteorological data model: the Saastamoinen model the zenith tropospheric delay has the highest accuracy in northwest China. The average bias value and RMS value of each station are -1.67 cm and 3.83 cm, respectively. The Hopfield and Black models have the same accuracy. In the non-measured meteorological data models, the GPT2w_1+Saastamoinen model has the highest accuracy in obtaining the zenith tropospheric delay in northwest China, followed by the GPT2w_5+Saastamoinen model; the EGNOS model has the lowest accuracy. We find that the accuracy of different tropospheric delay models is affected by seasonality. For the seven tropospheric delay models, the absolute and RMS values of bias in summer are the greatest. The results are comparable in spring and autumn, and the absolute value of bias in winter and the RMS value is the smallest.
WANG Xuke,YAN Shiwei,ZHAO Hong et al. Research on the Adaptability of Different Tropospheric Zenith Delay Models in Northwest China[J]. jgg, 2021, 41(9): 920-923.