区域大气加权平均温度模型确定及其应用

Construction and application of regional atmospheric weighted average temperature model

大气加权平均温度Tm是决定GPS水汽反演精度的关键参数,不同地区的Tm具有区域性差异。本文基于河南省Nanyang探空站2015—2018年的气象数据,建立了适用于河南亚热带季风气候地区的单因子和多因子的大气加权平均温度Tm模型,同时按照四季划分构建了季节模型,并对比经验模型分析其精度。结果表明,新建立的加权平均温度模型精度整体上优于Bevis模型。将其用于CORS站GPS可降水量反演中,相比经验模型,新建Tm模型与实际降水量的吻合性更好,可以满足地基GPS反演可降水量的要求。

The atmosphere weighted average temperature Tm is the key parameter that determines the accuracy of GPS water vapor retrieval.There are regional differences in Tm in different regions.Based on the meteorological data of Nanyang sounding station in Henan province from 2015 to 2018,the single-factor and multi-factor atmospheric weighted average temperature models suitable for Henan subtropical monsoon climate are established.At the same time,the seasonal model is constructed according to the division of the four seasons,and its accuracy is analyzed by comparing the empirical model.The results show that the accuracy of the newly established weighted average temperature model is better than that of the Bevis model as a whole.When it is applied to the inversion of GPS precipitable water at CORS station,compared with the empirical model,the newly built Tm model is more consistent with the actual precipitation,and can meet the requirements of foundation GPS precipitation inversion.