文章编号：1004－5422(2021)04－0436－05

DOI:10.3969/j.issn.1004-5422.2021.04.017

利用重力卫星监测全球陆地水储量变化时不同滤波算法的影响

崔立鲁，张  诚，何明睿

（成都大学建筑与土木工程学院，四川成都610106）

摘  要：由于受测量误差及重力场模型误差影响，利用重力恢复与气候实验卫星反演全球陆地水储量变化时会呈现出显著的南北条带误差.为了讨论不同误差处理方法对反演结果的影响，采用多种滤波算法计算全球陆地水储量变化，并与美国国家航空航天局提供的数据进行比较，结果表明：各向异性高斯滤波和Fan滤波在处理条带误差方面优于其他两种算法，在保留真实信号方面则是各向异性高斯滤波最优.

关键词：GRACE;陆地水储量变化;滤波算法;条带误差;各向异性高斯滤波

中图分类号：P223 +.4;P343                文献标识码：A

Analysis of Influence of Different Filtering Methods on Global Terrestrial Water Storage Changes Detected 

by Gravity Satellite

CUI Lilu,ZHANG Cheng,HE Mingrui

（School of Architecture and Civil Engineering,Chengdu University,Chengdu 610106,China)

Abstract：Due to the measurement error and gravity field model errors,the global TWSC（terrestrial water storage change） inverted by GRACE（Gravity Recovery and Climate Explorer）showed significant north-south stripe errors.In order to discuss the impact of different error processing methods on the inversion results,the global TWSC results derived from the different filtering algorithm were compared with those from NASA（National Aeronautics and Space Administration）.The results show that the non-isotropic Gaussian and Fan filter are better than the other two filter approaches in the stripe errors processing.However,the non-isotropic Gaussian filter is the best in terms of the real signals preserving.

Key words：GRACE;terrestrial water storage change;filtering algorithm;stripe error;non-isotropic Gaussian filter

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