地球物理学进展 ›› 2018, Vol. 33 ›› Issue (5): 1783-1788.doi: 10.6038/pg2018BB0393

• 固体地球物理及空间物理学(大气、行星、地球动力学、重磁电及地震学、地热学) • 上一篇    下一篇

GRACE卫星时变重力场滤波方法研究进展

郭飞霄1,2,3(),孙中苗2,3,汪菲菲4,肖云2,3   

  1. 1. 信息工程大学地理空间信息学院,郑州 450001
    2. 地理信息工程国家重点实验室,西安 710054
    3. 西安测绘研究所,西安 710054
    4. 31002部队,北京 100089
  • 收稿日期:2017-11-28 修回日期:2018-06-12 出版日期:2018-10-20 发布日期:2019-01-11
  • 作者简介:郭飞霄,男,1988年生,甘肃兰州人,博士研究生,工程师,主要从事卫星重力数据处理研究.
  • 基金资助:
    国家重点基础研究发展(973)计划(2013CB733303);国家自然科学基金项目资助(41674082);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(SKLGED2017-3-2-E)

Review of GRACE satellites time-variable gravity filtering methods

GUO Fei-xiao1,2,3(),SUN Zhong-miao2,3,WANG Fei-fei4,XIAO Yun2,3   

  1. 1. Information and Engineering University, Zhengzhou 450001, China
    2. State Key Laboratory of Geo-Information Engineering, Xi’an 710054, China;
    3. Xi’an Research Institute of Surveying and Mapping,Xi’an 710054, China;
    4. 31002 Army, Beijing 100089, China
  • Received:2017-11-28 Revised:2018-06-12 Online:2018-10-20 Published:2019-01-11

摘要:

GRACE卫星的成功发射为连续监测全球地表质量变化提供了直接有效的观测手段,在陆地水储量变化、冰川融化以及地震同震等领域得到了广泛应用,取得了重大研究进展.受卫星轨道特性和测量误差等因素影响,直接应用GRACE时变重力场模型的反演结果中会呈现严重条带误差,必须采用滤波方法进行处理.球谐系数法是当前GRACE卫星时变重力场研究中应用最广泛的方法,滤波作为球谐系数法的关键环节,对去条带误差具有至关重要的影响.本文从GRACE时变重力场数据处理方法入手,对高斯类滤波、去相关类滤波以及其他滤波方法进行了分类讨论,对不同方法的原理和特点进行了评述和对比分析,并对GRACE卫星时变重力场滤波方法后续的改进和发展进行了展望.

关键词: 时变重力场, 卫星重力测量, GRACE卫星, 空间滤波, 去相关滤波

Abstract:

The successful launch of the GRACE satellites provides a direct and effective way of global surface mass variations monitoring. GRACE satellites time-variable gravity has been widely used in the fields of water storage, glacier melting, earthquake coseismic and so on. The study of time-variable gravity has made a great progress. Affected by satellites orbit characteristics and measurement errors, the inversion results are presented by serious stripes errors with using GRACE time-variable gravity models directly. Filtering as the key step of spherical harmonic coefficients method is necessary. It has a crucial influence on destripe. The Gaussian filtering, de-correlated filtering and other filtering methods are discussed. The principle and characteristics of different filtering methods are analyzed. Further improvements and developments are prospected at last.

Key words: time-variable gravity, satellite gravimetry, GRACE satellites, spatial filtering, de-correlated filtering

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