基于最小二乘法无气象要素的PWV反演  

PWV Inversion Without Meteorological Elements by Least Square Method

作　　者：欧书圆 张卫星 OU Shuyuan;ZHANG Weixing(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;Research Center of GNSS,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学测绘学院,湖北武汉430079 [2]武汉大学卫星导航定位技术研究中心,湖北武汉430079

出　　处：《测绘地理信息》2021年第5期21-26,共6页Journal of Geomatics

基　　金：武汉大学测绘遥感信息工程国家重点实验室开放研究基金(17P01)。

摘　　要：提出了一种无需气象数据,直接用对流层天顶总延迟(zenith total delay,ZTD)推导大气可降水量(precipitable water vapor,PWV)的新方法。该方法从GPS反演大气水汽的反演方程出发,基于最小二乘法建立ZTD推算PWV的模型。结果表明,就BJFS测站而言,模型推算的PWV与GPS反演的PWV的均方根(root mean square,RMS)值为4.5 mm,两者存在一个微小的系统偏差,但相关系数高达0.982。在不研究其数值大小只研究其趋势变化时,可以用模型直接推算PWV,这可为气象学短期预报提供一定参考。A new method is proposed to directly derive the precipitable water vapor(PWV) by troposphere zenith total delay(ZTD) without meteorological data. This method starts from the inversion equation of atmospheric water vapor by GPS. And the model of PWV derived by ZTD is then established based on least square method. The results show that,for BJFS station,the root mean square(RMS)of the model-inverted PWV and the GPS-inverted PWV is 4. 5 mm,and there is a slight systematic deviation between the two,but the correlation coefficient is as high as 0. 982. The PWV can be directly calculated by the model when the trend change is studied without studying the value of PWV,which can provide reference for the short-term prediction of meteorology.

关 键 词：天顶总延迟(zenith total delay ZTD) 大气可降水量(precipitable water vapor PWV) 无气象要素 最小二乘法(least square method LSM) 

分 类 号：P228[天文地球—大地测量学与测量工程] P412[天文地球—测绘科学与技术]