重力卫星时变重力场位系数误差Fan滤波算法分析
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  • 英文篇名:Fan Filter Algorithm Analysis of Gravity Satellite Time-variable Geopotential Coeffcients Errors
  • 作者:崔立鲁 ; 宋哲 ; 邹正波 ; 许文超 ; 汪晓龙 ; 李琼
  • 英文作者:CUI Li-lu;SONG Zhe;ZOU Zheng-bo;XU Wen-chao;WANG Xiao-long;LI Qiong;School of Architecture and Civil Engineering,Chengdu University;School of Geodesy and Geomatics,Wuhan University;Key Laboratory of Earthquake Geodesy,Institute of Seismology,China Earthquake Administration;School of Physics,Huazhong University of Science and Technology;Institute of Geophysics,Huazhong University of Science and Technology;
  • 关键词:gravity ; recovery ; and ; climate ; experiment ; 条带误差 ; Fan ; 滤波 ; 高斯滤波
  • 英文关键词:gravity recovery and climate experiment;;band errors;;Fan filter;;Gaussian filter
  • 中文刊名:科学技术与工程
  • 英文刊名:Science Technology and Engineering
  • 机构:成都大学建筑与土木工程学院;武汉大学测绘学院;中国地震局地震研究所中国地震局地震大地测量重点实验室;华中科技大学物理学院;华中科技大学地球物理研究所;
  • 出版日期:2019-05-28
  • 出版单位:科学技术与工程
  • 年:2019
  • 期:15
  • 基金:国家自然科学基金(41431069);; 地球空间环境与大地测量教育部重点实验室测绘基础研究基金(16-01-04)资助
  • 语种:中文;
  • 页:51-56
  • 页数:6
  • CN:11-4688/T
  • ISSN:1671-1815
  • 分类号:P223
摘要
针对GRACE(gravity recovery and climate experiment)时变重力场模型中因高阶项误差引起的南北条带误差,分析利用滤波算法消除该条带误差的基本原理,着重研究Fan滤波和高斯滤波的理论差异,最后利用CSR(center for space research of texas university in austin)提供的Level-2 RL05版本时GRACE重力场数据对2010年全球陆地水储量月变化进行了数值计算,并分别利用Fan滤波和高斯滤波对相关误差进行了处理,并将计算结果与GLDAS(global land data assimilation system)水文模型的结果进行了验证分析。比较结果表明:Fan滤波相对于高斯滤波,能够有效地消除模型高阶项误差引起的条带误差。
        Aimming to"south-north"band errors caused by the high-order error in gravity recovery and climate experiment( GRACE) time-variable gravity field model,the basic principle of filter algorithm for elimination of this band error was analyzed,and the theory differences between Fan filter and Guassian filter were studied. Finally,the global continental water storage variation in 2010 was calculated using GRACE Level-2 RL05 gravity filed data published by center for space research of texas university in austin( CSR),and the correlated errors were processed by Fan filter and Guassian filter. The calculated results are verified and analyzed by comparing to global land data assimilation system( GLDAS) hydrological model. The comparison results show that Fan filter can effectively eliminate the band error caused by the model high-order term error compared with gaussion filter.
引文
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