【作者】 李国翠； 李国平； 刘凤辉； 苗志成；

【Author】 Li Guocui1 Li Guoping2,3 Liu Fenghui4 Miao Zhicheng5 1 Shijiazhuang Meteorological Bureau, Shijiazhuang 050081 2 Department of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225 3 Chengdu Regional Meteorological Center, CMA, Chengdu 610071 4 Beijing Meteorological Observatory, Beijing 100089 5 Zhangjiakou Meteorological Observatory, Zhangjiakou 075000

【机构】 河北省石家庄市气象局； 成都信息工程学院大气科学系； 北京市气象台； 张家口市气象台；

【摘要】 为尽可能地减小计算加权平均温度的误差,提高地基GPS遥感大气水汽总量的精度。本文首先分析了几种不同的计算加权平均温度的方法,采用这些方法计算了华北地区张家口、北京和邢台的加权平均温度。通过对比检验,发现对于华北地区来言,常规的计算模型普遍存在一定的系统误差。在对加权平均温度与地面各气象要素的关系分析基础上,分别建立了华北地区基于地面气象要素的单因子和多因子回归方程,较好地满足了GPS遥感水汽总量实时性和高精度的要求。更多还原

【Abstract】 In order to eliminate the error in calculating weighted mean temperature and improve the precision of remote sensing precipitable water vapor, some different methods are introduced and compared in north China, such as in Zhangjiakou, Xingtai and Beijing. The following results indicate that there is a systematic error in these areas by using the common methods, and it is necessary to establish localization model based on the corresponding surface meteorological data. According to the relationship between weighted mean temperature and surface elements, some regression equations based on single factor or multi-factor are given in north China, it is helpful to meet the need of remote sensing real-time and high precise precipitable water vapor by ground-based GPS.更多还原