GOCE gradiometer data calibration

Christian Siemes*, Moritz Rexer, Anja Schlicht, Roger Haagmans

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)

Abstract

The GOCE mission provides a unique gravity gradient dataset, which is used by most state-of-the-art global gravity field models. The quality of the gravity gradients of previous data releases degraded during the mission lifetime, which was often attributed to the increasing drag forces towards the end of the mission due to the approaching solar maximum and also, starting in August 2012, a sequence of five orbit lowerings. An imperfect calibration of the gravity gradiometer data was often suspected as root cause for the degradation. We present the novel method for the calibration of the GOCE gravity gradiometer data that was used for the official reprocessing of the GOCE gravity gradients in 2018. It is based on a comprehensive calibration model that includes quadratic factors and angular acceleration couplings as new calibration parameters. The calibration parameters are estimated from star tracker angular rates, gravity gradients calculated from a GRACE gravity field model and the condition that the three gradiometer arms measure the same non-gravitational acceleration. In addition to the GOCE data generated during science mode operations, we also use the data collected during satellite shaking mode operations. We demonstrate that applying the new method removes systematic errors to a large extent and, consequently, yields gravity gradients of superior and constant quality compared to previous data releases.

Original languageEnglish
Pages (from-to)1603-1630
Number of pages28
JournalJournal of Geodesy
Volume93
Issue number9
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Accelerometry
  • Calibration
  • GOCE mission
  • Satellite gravity gradiometry

Fingerprint

Dive into the research topics of 'GOCE gradiometer data calibration'. Together they form a unique fingerprint.

Cite this