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    利用谱组合法实现GOCE卫星的SST和SGG数据融合处理

    刘晓刚 常宜峰 孙文 李新星

    刘晓刚, 常宜峰, 孙文, 李新星, 2017. 利用谱组合法实现GOCE卫星的SST和SGG数据融合处理. 地球科学, 42(3): 471-478. doi: 10.3799/dqkx.2017.037
    引用本文: 刘晓刚, 常宜峰, 孙文, 李新星, 2017. 利用谱组合法实现GOCE卫星的SST和SGG数据融合处理. 地球科学, 42(3): 471-478. doi: 10.3799/dqkx.2017.037
    Liu Xiaogang, Chang Yifeng, Sun Wen, Li Xinxing, 2017. Syncretic Processing of GOCE Satellite's SST and SGG Data Based on Spectral Combination Method. Earth Science, 42(3): 471-478. doi: 10.3799/dqkx.2017.037
    Citation: Liu Xiaogang, Chang Yifeng, Sun Wen, Li Xinxing, 2017. Syncretic Processing of GOCE Satellite's SST and SGG Data Based on Spectral Combination Method. Earth Science, 42(3): 471-478. doi: 10.3799/dqkx.2017.037

    利用谱组合法实现GOCE卫星的SST和SGG数据融合处理

    doi: 10.3799/dqkx.2017.037
    基金项目: 

    国家重点基础研究发展计划 (973计划) 项目 2013CB733303

    中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室开放基金项目 SKLGED2017-1-1-E

    国家自然科学基金项目 41504018

    国家自然科学基金项目 41304022

    国家自然科学基金项目 41404020

    国家重点基础研究发展计划 (973计划) 项目 61322201

    详细信息
      作者简介:

      刘晓刚 (1983-),男,助理研究员,主要从事卫星重力、磁力测量研究.ORCID:0000-0003-2727-8582.E-mail:liuxiaogang_1949@163.com

    • 中图分类号: P228

    Syncretic Processing of GOCE Satellite's SST and SGG Data Based on Spectral Combination Method

    • 摘要: 不同类型重力测量数据的融合处理,是地球重力场模型化研究的难点和热点问题之一.基于调和分析方法推导了由GOCE卫星SST和SGG数据构建地球重力场模型的谱组合公式及对应谱权的具体形式,给出了多种类型重力测量数据联合处理的谱权及谱组合的通用表达式.结果表明,SST数据能够有效改善SGG数据解算模型在低阶部分的精度,从而提高了解算的地球重力场模型的质量和可靠性并拓宽了其频谱范围,使其精度和空间分辨率有更进一步的提高.

       

    • 图  1  SST、SGG、SST+SGG数据恢复的重力场模型阶误差RMS (a)、累计大地水准面误差 (b) 和累计重力异常误差 (c)

      Fig.  1.  The degree error RMS of the EGM (a), the cumulative geoid error (b) and the cumulative gravity anomaly error (c) recovered by SST, SGG and SST+SGG data

      图  2  GOCE-SST、GOCE-SGG、GOCE-SST+GOCE-SGG、GOCE-SST-SGG、GO-CONS-TIM对应的重力场模型阶误差RMS (a)、累计大地水准面误差 (b) 和累计重力异常误差 (c)

      Fig.  2.  The degree error RMS (a), the cumulative geoid error (b) and the cumulative gravity anomaly error (c) of the GOCE-SST, GOCE-SGG, GOCE-SST+GOCE-SGG, GOCE-SST-SGG and GO-CONS-TIM

      表  1  SST、SGG、SST+SGG恢复重力场模型的精度统计结果

      Table  1.   The precision statistical results of the EGM recovered by SST, SGG, SST+SGG data

      数据类型模型阶数
      累计大地水准面
      误差 (cm)

      累计重力异常
      误差 (mGal)
      SST702.4090.259
      SGG700.2490.027
      SST+SGG700.1990.021
      SGG2003.0410.934
      SST+SGG2003.0370.933
      下载: 导出CSV

      表  2  GOCE-SST、GOCE-SGG、GOCE-SST+GOCE-SGG、GOCE-SST-SGG、GO-CONS-TIM的精度统计

      Table  2.   The precision statistical results of the GOCE-SST, GOCE-SGG, GOCE-SST+GOCE-SGG, GOCE-SST-SGG and GO-CONS-TIM

      数据类型模型阶数
      累计大地水准面
      误差 (cm)

      累计重力异常
      误差 (mGal)
      SST12086.79814.567
      SGG12015.2921.294
      GOCE-SST+GOCE-SGG1208.5451.156
      GOCE-SST-SGG12092.81513.358
      GO-CONS-TIM1202.5850.344
      SGG20018.3692.947
      GOCE-SST+GOCE-SGG20013.2892.889
      GOCE-SST-SGG200590.001151.670
      GO-CONS-TIM2005.9401.491
      下载: 导出CSV
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    • 收稿日期:  2016-09-22
    • 刊出日期:  2017-03-15

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