重力固体潮观测数据的自动化预处理

Automatic Preprocessing of Tidal Gravity Observation Data

研究了重力固体潮汐观测数据的预处理方法,给出了对原始观测数据降采样的平均滤波和小波滤波处理方法以及处理中断数据的线性插值和三次样条插值方法,研制了重力固体潮汐观测数据自动化预处理软件APTsoft,实现了异常数据(包括尖峰、台阶、中断等)的自动标定与改正功能。实验结果验证了本文预处理方法及APTsoft软件的有效性,APTsoft可应用于重力固体潮观测数据的自动化预处理。

The preprocessing of tidal gravity observation data is very important to obtain high-quality tidal harmonic analysis results. The preprocessing methods of tidal gravity ob- servation data are studied systematically, and average filtering method and wavelet filtering method for downsampling original tidal gravity observation data are given in the paper, as well as the linear interpolation method and the cubic spline interpolation method for processing interrupt data. The automatic preprocessing software of the tidal gravity observation data （APTsoft） is developed, which can calibrate and correct automatically abnormal data such as spikes, steps and interrupts. Finally, the experimental results show that the preprocessing methods and APTsoft are very effective, and APTsoft can be applied to the automatic preprocessing of tidal gravity observation data.