GRACE data-based high accuracy global static earth's gravity field model

Qiujie Chen, Yunzhong Shen, Xingfu Zhang, Wu Chen, Houze Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

� 2016, Surveying and Mapping Press. All right reserved. To recover the highly accurate static earth's gravity field by using GRACE satellite data is one of the hot topics in geodesy. Since linearization errors of dynamic approach quickly increase when extending satellite arc length, we established a modified dynamic approach for processing GRACE orbit and range-rate measurements in this paper, which treated orbit observations of the twin GRACE satellites as approximate values for linearization. Using the GRACE data spanning the period Jan. 2003 to Dec. 2010, containing satellite attitudes, orbits, range-rate, and non-conservative forces, we developed two global static gravity field models. One is the unconstrained solution called Tongji-Dyn01s complete to degree and order 180; the other one is the Tongji-Dyn01k model computed by using Kaula constraint. The comparisons between our models and those latest GRACE-only models (including the AIUB-GRACE03, the GGM05S, the ITSG-Grace2014k and the Tongji-GRACE01) published by different international groups, and the external validations with marine gravity anomalies from DTU13 product and height anomalies from GPS/levelling data, were performed in this study. The results demonstrate that the Tongji-Dyn01s has the same accuracy level with those of the latest GRACE-only models, while the Tongji-Dyn01k model is closer to the EIGEN6C2 than the other GRACE-only models as a whole.
Original languageEnglish
Pages (from-to)396-403
Number of pages8
JournalCehui Xuebao/Acta Geodaetica et Cartographica Sinica
Volume45
Issue number4
DOIs
Publication statusPublished - 1 Apr 2016

Keywords

  • Dynamic approach
  • GRACE static gravity field
  • Linearization
  • Regularization

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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