固体潮观测资料平滑处理方法的研究

固体潮观测数据在进行各种分析之前,需进行平滑处理以便消除各种突跳及错误数据。常用的平滑方法有Lecolazet数字滤波法和Nakai方法。本文讨论了各种方法的特点及存在问题。为了经济、快速而又有效地平滑数据,提出如下建议:对于高精度的观测数据,通常使用数字滤波法处理即可;在少数情况下,数据中出现连续错数,这时可取卅天为时间间隔,在上述滤波法平滑的基础上,分段对数据进行调和分析,如果某几段调和分析的误差较大,那末再进一步对这些数据段用Nakai法进行平滑处理。

METHOD TO SMOOTH EARTH TIDE OBSERVATION DATA

Before earth tide observation data are analysised ,they must be smoothed to eliminate mutations and error data. Lecolazet's method, digital filter and Nakai's method be used for it. Characters and questions on above methods are investigated in details in this paper. To smooth observation data ecnomically, fast and reliably, the following suggestion is proposed.For high accuracy obvevation,usually,it is sufficient to use the digital filter method to process data. In minority case, there are continuous errors in the data, based on filter smoothing, the data are analysed separately by Venedikov's method with a interval of length 30 days. If the errors of amplitude factors or phase shifts are larger, these data segments may be smoothed with Nakai's method again, the others are processed no longer.