气象数据缺失时地基GPS反演可降水量方法研究

发布时间：2018-06-20 02:19

本文选题：可降水量 + 气象数据　；参考：《大地测量与地球动力学》2017年10期

【摘要】：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。
[Abstract]:By means of interpolation Z file and other methods, the method of retrieving precipitable water by ground-based GPS when meteorological data is missing is studied in long and short periods, and the effects of different methods are compared. Based on this, the suitable method for retrieving precipitable water by ground-based GPS when meteorological data is missing is selected. The experimental results show that the cubic spline interpolation method can be used to interpolate meteorological data when the meteorological data is missing in a long period of time, and the singular spectrum iteration method can be used to interpolate meteorological data when the meteorological data is missing in a short period of time. When the missing data accounts for a large proportion of the original data, the Z file method can be used to calculate the precipitable water.
【作者单位】：同济大学测绘与地理信息学院;现代工程测量国家测绘地理信息局重点实验室;
【分类号】：P228.4;P412

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