Stochastic model refinements for GOCE gradiometry data

I. Krasbutter, J. M. Brockmann, B. Kargoll & W.-D. Schuh
In our approach to gravity field determination, the GOCE data are processed sequentially on aparallel 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. GOCE gradiometry (SGG) data are auto-correlated in their three components Vxx, Vyy and Vzz so that one purpose of PCGMA is the adjustment of the unknown stochastic model...
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