摘要
GRACE时变重力场模型误差随着阶数增大而迅速增大，必须呆用滤波进行空间平滑。本文利用GRACE时变重力场模型数据计算全球陆地水储量变化，分析了维纳滤波对反演结果的影响，并与不同半径高斯滤波反演结果进行了对比。实验结果表明：维纳滤波是一种低通滤波，滤波系数仅与时变重力场模型噪声特性相关；维纳滤波能够有效消除全球陆地水储量变化反演结果中的南北条带误差，反演结果与半径400km高斯滤波反演结果相当。
The error of the GRACE time - variable gravity model increases with the increasing of degree. This problem must be solved by spatial smoothing. Global water storage variation is recovered by GRACE time - variable gravity data. The influence of Wiener filtering on the inversion result is analyzed and compared with Gauss filtering of different radius. The results show that Wiener filtering is a low - pass fihering, and weight of Wiener filtering only relys on the noise character of GRACE time - variable gravity models. Stripe error in global water storage variation recovery is removed effectively by Wiener filtering. The inversion result is consistent with radius of 400km Gauss filtering.
出处
《测绘科学与工程》
2015年第2期14-18,共5页
Geomatics Science and Engineering
基金
国家自然科学基金资助项目（41374083）,国家973计划资助项目（2013CB733303）,大地测量与地球动力学国家重点实验室开放基金资助项目（SKLGED2013-3-3一E）.
关键词
GRACE卫星
时变重力场
维纳滤波
水储量变化
卫星重力
GRACE satellites, time - variable gravity field, Wiener Filtering, water storage variation, satellite gravimetry
