顾及多因子影响的中国西部地区大气加权平均温度模型精化研究

针对中国西部地区地形起伏较大等情况,分析大气加权平均温度(Tm)与测站高程、地面温度的关系,利用2014?2016年探空数据,在Bevis模型基础上建立一种与地面温度、高程和季节变化有关的新Tm模型.以2017年探空数据为参考值,对新模型进行精度分析,并与广泛使用的Bevis模型和GPT2w模型进行精度比较.结果表明,...

Refinement of Atmospheric Weighted Mean Temperature Model Considering the Effects of Multiple Factors for Western China

In this paper,for highly undulating terrain in western China,we analyze the relationships between T m and height,T m and surface temperature in western China using radiosonde data from 2014 to 2016.We establish a new T m model related to the surface temperature,height and season variations based on Bevis formula.Then,we assess the new T m model by comparing with the widely used Bevis formula and GPT2w model using 2017 radiosonde data as reference values.The results show that the annual bias and RMS error of the new T m model are-0.08 K and 3.89 K respectively,and the RMS of the new T m model has decreased by approximately 14.3%,20.6%and 9.3%against Bevis model,GPT2w-5 and GPT2w-1,respectively.In addition,the new T m model has RMS PWV and RMS PWV/PWV values of 0.22 mm and 1.43%when used to estimate GNSS-PWV.Therefore,the new model has critical applications in GNSS-PWV remote sensing in western China.