Aiming at the problems that the current atmospheric weighted mean temperature (Tm) model has poor applicability in various regions of Qinghai Province, and meteorological elements are less taken into account, the paper proposed an accuracy optimization method of regional Tm model in Qinghai Province: the localized single-factor Tm model and the localized multi-factor Tm model with the participation of multiple meteorological factors were constructed by linear regression using the data of four sounding stations Xining, Dulan, Guolemud and Yushu in Qinghai Province from 2014 to 2018; and the atmospheric precipitable water vapor (PWV) obtained by inversion was compared with that by Bevis model and Gong Shaoqi national model.Results showed that the accuracy of the proposed model could be better than that of the existing model, and the accuracy of inversion PWV also better than that of the existing model, which would be a reference for improving the accuracy of water vapor inversion of the global navigation satellite system (GNSS) in Qinghai.
atmospheric weighted average temperature (Tm)/global navigation satellite system (GNSS) meteorological/precise point positioning (PPP)/precipitable water vapor (PWV)/model regionalization