测绘学报 ›› 2021, Vol. 50 ›› Issue (3): 324-332.doi: 10.11947/j.AGCS.2021.20200231

• 大地测量学与导航 • 上一篇    下一篇

GOCE卫星重力梯度观测值的时变重力场变化改正及影响分析

陈鑑华1, 张兴福1, 沈云中2, 陈秋杰3, 李伟超1   

  1. 1. 广东工业大学测绘工程系, 广东 广州 510006;
    2. 同济大学测绘与地理信息学院, 上海 200092;
    3. 波恩大学大地测量与地理信息学院, 波恩 53121
  • 收稿日期:2020-06-18 修回日期:2021-01-12 发布日期:2021-03-31
  • 通讯作者: 张兴福 E-mail:xfzhang77@163.com
  • 作者简介:陈鑑华(1997-),男,硕士生,研究方向为大地测量数据处理。E-mail:gdut_cjh@163.com
  • 基金资助:
    国家自然科学基金(42074003;41731069;41674006)

The impact analysis of corrections to GOCE satellite gravity gradient observations by accounting for temporal gravity field variations

CHEN Jianhua1, ZHANG Xingfu1, SHEN Yunzhong2, CHEN Qiujie3, LI Weichao1   

  1. 1. Department of Surveying and Mapping, Guangdong University of Technology, Guangzhou 510006, China;
    2. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;
    3. Institute of Geodesy and Geo-information, University of Bonn, Bonn 53121, Germany
  • Received:2020-06-18 Revised:2021-01-12 Published:2021-03-31
  • Supported by:
    The National Natural Science Foundation of China (Nos. 42074003;41731069;41674006)

摘要: GOCE卫星重力梯度观测值为高阶静态重力场反演提供了重要的数据支撑,但其在使用前需考虑扣除时变重力场变化的影响。本文研究了GOCE卫星重力梯度观测值的时变重力场变化改正方法,更新了ESA标准和背景模型,以更好地扣除时变重力场变化的影响,自主实现了由GOCE卫星Level 1b重力梯度数据直接进行重力场反演。本文通过3种时变重力场变化改正方案分析了其对高阶静态重力场反演的影响,研究结果表明:从全球大地水准面差异看,时变重力场变化改正对重力场反演是有影响的,其在局部区域对大地水准面的影响值最大可超过1 cm,说明利用GOCE卫星重力梯度数据反演高阶静态重力场时需扣除时变重力场变化改正,同时新标准和背景模型更有利于扣除时变重力场变化的影响。

关键词: GOCE卫星, 重力梯度, 时变重力场变化改正, 重力场反演

Abstract: As an important data source for high-degree static gravity field recovery, the gravity gradient observations from GOCE satellite should be processed prior to gravity field estimation by removing the temporal gravity field variations. In this study, the data processing method to account for the temporal gravity field variations in GOCE gradiometric data is discussed, to better remove the influence of temporal gravity field variations, the standard and background models from ESA are updated. Consequently, high-degree static gravity field models can be directly determined from the self-processed GOCE Level 1b data. To discuss the impacts of temporal gravity field variations on high-degree static gravity field modelling, we design three different data processing schemes to remove the temporal gravity field variations. Our results show that the temporal gravity field variations have an effect on deriving high-degree gravity field models, with a maximum geoid height difference of above 1 cm over some particular regions. Therefore, during deriving high-degree static gravity field solution from GOCE data, we suggest that updating standard and background models are better to mitigate the effect of temporal gravity field variations.

Key words: GOCE satellite, gravity gradient, corrections of temporal gravity field variations, gravity field recovery

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