GOCE Data Analysis: From Calibrated Measurements to the Global Earth Gravity Field

  • Jan Martin Brockmann
  • Boris Kargoll
  • Ina Krasbutter
  • Wolf-Dieter SchuhEmail author
  • Martin Wermuth
Part of the Advanced Technologies in Earth Sciences book series (ATES)


The goal of this chapter is to describe an in-situ approach to determine a global Earth gravity model and its variance/covariance information on the basis of calibrated measurements from the GOCE mission. As the main characteristics of this procedure, the GOCE data are processed sequentially on a parallel computer system, iteratively via application of the method of preconditioned conjugate gradient multiple adjustment (PCGMA), and in situ via development of the functionals at the actual location and orientation of the gradiometer. We will further explain the adaption of the unknown stochastic model, determined by estimating decorrelation filters and variance components with respect to the GOCE observation types (i.e. SST, SGG, and regularizing prior information).


GOCE Gravity field Spherical harmonics Conjugate gradients ARMA filter Ill posed problem Combined adjustment 



Parts of this work were financially supported by the BMBF Geotechnologien program GOCE-GRAND II and the ESA contract No. 18308/04/NL/MM. The computations were performed on the JUMP supercomputer in Jülich. The computing time was granted by the John von Neumann Computing Institute (project 1827).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jan Martin Brockmann
    • 1
  • Boris Kargoll
    • 1
  • Ina Krasbutter
    • 1
  • Wolf-Dieter Schuh
    • 1
    Email author
  • Martin Wermuth
    • 2
    • 3
  1. 1.Institute of Geodesy and Geoinformation, University of BonnBonnGermany
  2. 2.Institute for Astronomical and Physical Geodesy, TU MunichMunichGermany
  3. 3.Deutsches Zentrum für Luft und Raumfahrt (DLR)OberpfaffenhofenGermany

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