气象数据缺失时地基GPS反演可降水量方法研究

Method of Precipitable Water Vapor Retrieval by Ground-based GPS with Missing Meteorological Data

通过插值、Z文件等方法,对气象数据缺失时地基GPS反演可降水量的方法分长、短时段进行研究,比较不同方法的效果,以此选取气象数据缺失时合适的地基GPS反演可降水量方法。实验表明,在长时段气象数据缺失时,可以采用三次样条对气象数据插值的方法;在短时段气象数据缺失时,可以采用奇异谱迭代对气象数据插值的方法;当缺失数据占原数据比例较大时,可以采用Z文件法计算可降水量。

Using interpolation and Z files, we study the precipitable water vapor （PWV） value, calcu- lated by ground-based GPS with missing meteorological data. We compare the effects of different ways to select the appropriate method of PWV retrieval by ground-based GPS with missing meteoro- logical data. The results show that interpolation of meteorological data in long periods using spline is appropriate; interpolation of meteorological data in short periods using singular spectrum analysis is appropriate. Using Z files is a good way to calculate PWV when the missing data accounts for a larger proportion of the original data.