地基GPS遥感天顶水汽含量方法研究

Remotely Sensing Atmosphere Water Vapor with Ground-Based GPS

利用IGS提供的精密星历及精密钟差,分别采用卡尔曼滤波法、双差法对天顶对流层延迟进行估计,并与IGS提供的测站天顶延迟进行对比。根据所解算的天顶对流层延迟,利用经验模型求解天顶干延迟,最后分离出天顶湿延迟,进行大气可降水分的求解。

We study the ground-based GPS zenith water vapor remotely sensing theory,and propose the double difference method for ZTD estimation with IGS precise ephemeris provided and precision clock error.We use a Kalman filtering method and a double-difference method to estimate the ZPD,respectively.We compare the results with zenith delay provided by IGS stations.The results calculated with two methods and provided by the IGS trend of the same epoch with the largest difference doesn’t exceed 2 cm.According to the solution of ZTD,we use empirical models to solve ZHD,and isolate ZWD.Finally,we carry out the solution of sub-atmospheric precipitation.