EGU22-6771
https://doi.org/10.5194/egusphere-egu22-6771
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Static Gravity Field Recovery and Accuracy Analysis Based on Reprocessed GOCE Level 1b Gravity Gradient Observations

Jianhua Chen1, Xingfu Zhang1, Qiujie Chen2, Yunzhong Shen2, and Yufeng Nie2
Jianhua Chen et al.
  • 1Guangdong University of Technology, Guangzhou 510006, China (gdut_cjh@163.com)
  • 2College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

Gravity gradient observations of GOCE (Gravity field and steady-state Ocean Circulation Explorer) provide important data support for the recovery of the short-wavelength part of the static gravity field, in which the influence of time-varying gravity signals should be reduced first. In this contribution, we carried out the following investigations on the static gravity field recovered from GOCE level 1b gravity gradient observations: (1) We updated the background models and according to the IERS2010 convention to remove the time-varying signals in the gravity gradient observations, and analyzed their influence on the subsequent static gravity field recovery; (2) We set up the 300 degrees and order(d/o) GOCE gravity gradient normal equations by the direct method with the reprocessed GOCE Level 1b gravity gradient observations; (3) In order to effectively treat the influence of polar gap, we combined the 300 d/o of the GOCE gravity gradient normal equation with 180 d/o Tongji-Grace02s normal equation and the Kaula’s regularization constraints; (4) GNSS/Leveling data, quasi-geoid model and DTU marine gravity anomaly are used to validate the accuracy of our combined solution, which shows that the accuracy of it is comparable to the state-of-art GOCO06s model.

How to cite: Chen, J., Zhang, X., Chen, Q., Shen, Y., and Nie, Y.: Static Gravity Field Recovery and Accuracy Analysis Based on Reprocessed GOCE Level 1b Gravity Gradient Observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6771, https://doi.org/10.5194/egusphere-egu22-6771, 2022.

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