Abstract In this study, 3 consecutive years of radiosonde observation data since 2012 from three sites of Changsha, Huaihua and Chenzhou in Hunan province has been used to establish multi-factor Tm local models based on the numerical integration and least squares principle. The results showed that Tm has a positive correlation with ground temperature (Ts) and water vapor pressure (es) , while it has a negative correlation with atmospheric pressure (Ps). Compared with the bias of single-factor local Tm model (-2~3 K), the bias of Bevis model is mainly in 0~4 K, which means that Bevis model exists a system deviation in Hunan region. The research also reveals that the two-factor model and three-factor model have an approximate accuracy, but they are all better than single-factor model. Summarily, the two-factor local Tm model is better than single-factor model which is better the Bevis model at the same time. Therefore, it can be applied to researches and applications of GPS meteorology in Hunan region.
LI Li,FAN Yixi,WANG Liang et al. Influence Analysis of Multi-factor on Weighted Average Temperature and Its Modeling in Hunan Region[J]. jgg, 2018, 38(1): 48-52.
LI Li,FAN Yixi,WANG Liang et al. Influence Analysis of Multi-factor on Weighted Average Temperature and Its Modeling in Hunan Region[J]. jgg, 2018, 38(1): 48-52.