Analysis of residual impact of temperature and weather on IGS station joint measurement

Aiming at the problems of the GNSS service station (IGS tracking station) joint measurement residual impact in a year, the relationship between the weather conditions of average temperature change, rain and snow and IGS statio joint residual is summarized, and the factors affecting the joint measurement accuracy of IGS tracking station are judged. It is suitable for the stability test of the base stations in and around China, and the standardized root mean square error average (NRMS) is used to evaluate and improve the accuracy by avoiding the influence of precision factors. Finally, the CHAN station of 2018 is selected as the unknown site. The four IGS stations (BJFS, DAEJ, SHAO, ULAB) around the northeastern region of China are jointly tested. The GAMIT／GLOBK software is used for high-precision baseline processing, and the data of 2017 is selected to Check it out. The experimental results show that average temperature and rain and snow weather are two factors affecting the joint measurement residual of IGS tracking station. The average temperature and NRMS value are negatively correlated, and the correlation is greater than 60％. The combined effect of rain and snow weather is poor. Compared with non-rain and snow weather, the NRMS value is about 0.5 mm, and the combined accuracy of snowfall weather is the lowest. It is not recommended to conduct joint testing tasks in rain and snow.