The comparison of the weighted mean temperature models based on the radiosonde data of Fangshan station in Beijing

• 1、School of Land Science and Technology, China University of Geosciences(Beijing), Beijing 100083

Abstract：The atmospheric weighted mean temperature Tm plays a key role in remote sensing water vapor with GNSS technique, therefore the property of the Tm time series and the different models of Tm are analyzed in this paper. Firstly the Tm is computed based on the radiosonde data of Fangshan station in Beijing and the property of the Tm is analyzed. The correlations of the Tm and the surface temperature Ts is also analyzed. After that, the local linear models and the unlinear model for estimating Tm are compared with Bevis model. The accuracy of the models is evaluated by comparing the estimates from different models against the actual Tm values. The results show that the local linear model and unlinear model are better than the Bevis model, and the local unlinear model is a little better than the local linear model in the accuracy. The local linear model and the local unlinear model both satisfy the precision requirement of the GNSS water vapor computation in real-time.

Keywords： The atmospheric weighted mean temperature linear model unlinear model Bevis model