基于GPS数据的MODIS大气可降水量反演精度提高模型

A Real-time Accuracy Model of MODIS PWV Using GPS PWV Data

水汽含量是大气的最重要变量之一。本文对地基GPS数据反演的PWV(Precipitable Water Vapor,可降水量,单位mm或cm)和MODIS数据反演的PWV结果进行了对比研究,得出了两者线性相关的结论。并对地基GPS数据反演的PWV和探空数据反演的PWV进行对比研究,验证了地基GPS数据反演PWV的精度在mm级别的结论。最后,本文应用最小二乘回归法,构建了一种基于GPS数据的MODIS大气PWV实时精度提高模型。

Moisture content is one of the most important variables in the atmosphere.This paper analyses the results between the PWV based on GPS data and the PWV based on MODIS data.This paper also takes the comparative study of the PWV based on GPS data and radiosonde data,and draws a conclusion that the accuracy of the PWV based on GPS data is on the millimeter level.After that,this paper constructs a real-time accuracy model based on the least squares method,which can improve the current MODIS water vapor inversion precision by using the current real-time GPS PWV data.