GOCE long-wavelength gravity field recovery from 1s-sampled kinematic orbits using the acceleration approach

verfasst von
T. Reubelt, O. Baur, M. Weigelt, M. Roth, N. Sneeuw
Abstract

The acceleration approach is an efficient and accurate tool for the estimation of the lowfrequency part of GOCE (Gravity field and steady-state Ocean Circulation Explorer) gravity fields from GPS-based satellite-to-satellite tracking (SST). This approach is characterized by second-order numerical differentiation of the kinematic orbit. However, the application to GOCE-SST data, given with a 1s-sampling, showed that serious problems arise due to strong amplification of high frequency noise. In order to mitigate this problem, we developed a tailored processing strategy in a recent paper which makes use of an extended differentiation scheme acting as low-pass filter, and empirical covariance functions to account for the different precision of the components and the inter-epoch correlations caused by orbit computation and numerical differentiation. However, also a more “bruteforce” strategy can be applied using the standard unextended differentiation scheme and data-weighting by error propagation of the provided orbit variance-covariance matrices (VCMs). It is shown that the direct differentiator shows a better approximation and the exploitedmethod benefits from the stochastic information contained in the VCMs compared to the former strategy. A strong dependence on the maximum resolution, the arc-length and the method for data-weighting is observed, which requires careful selection of these parameters. By comparison with alternative GOCE hl-SST solutions we conclude that the acceleration approach is a competitive method for gravity field recovery from kinematic orbit information.

Externe Organisation(en)
Universität Stuttgart
Austrian Academy of Sciences
University of Luxembourg
Typ
Aufsatz in Konferenzband
Seiten
21-26
Anzahl der Seiten
6
Publikationsdatum
2014
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Computer in den Geowissenschaften, Geophysik
Elektronische Version(en)
https://doi.org/10.1007/978-3-319-10837-7_3 (Zugang: Unbekannt)
 

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