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Book Chapter

Stochastic model refinements for GOCE gradiometry data

Authors

Krasbutter,  I.
Observation of the System Earth from Space : GEOTECHNOLOGIEN Science Report 17, GEOTECHNOLOGIEN Science Report, External Organizations;

Brockmann,  J. M.
Observation of the System Earth from Space : GEOTECHNOLOGIEN Science Report 17, GEOTECHNOLOGIEN Science Report, External Organizations;

Kargoll,  B.
Observation of the System Earth from Space : GEOTECHNOLOGIEN Science Report 17, GEOTECHNOLOGIEN Science Report, External Organizations;

Schuh,  W.-D.
Observation of the System Earth from Space : GEOTECHNOLOGIEN Science Report 17, GEOTECHNOLOGIEN Science Report, External Organizations;

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Fulltext (public)

SR17_Weltraum_11.pdf
(Publisher version), 356KB

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Citation

Krasbutter, I., Brockmann, J. M., Kargoll, B., Schuh, W.-D. (2010): Stochastic model refinements for GOCE gradiometry data. - In: Münch, U., Dransch, W. (Eds.), (GEOTECHNOLOGIEN Science Report ; 17), Potsdam : GEOTECHNOLOGIEN, 70-76.
https://doi.org/10.2312/GFZ.gt.17.11


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_23129
Abstract
In our approach to gravity field determination, 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. 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 of the gradiometer observations, described by decorrelation filters. A sequence of Auto Regressive-Moving Average (ARMA) filters is adjusted to the actual measurement noise to remove these correlations from the observations. This adjustment is refined iteratively, as it is embedded in the estimation of the gravity field parameters. In this contribution we show the effects of various filter complexities on the final gravity field solution and the corresponding error estimates based on two months of GOCE data.