Short-wavelength spectral properties of the gravity field from a range of regional data sets

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Jakob Flury

External Research Organisations

  • Technical University of Munich (TUM)
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Details

Original languageEnglish
Pages (from-to)624-640
Number of pages17
JournalJournal of geodesy
Volume79
Issue number10-11
Early online date14 Dec 2005
Publication statusPublished - Feb 2006
Externally publishedYes

Abstract

The GRACE (gravity recovery and climate experiment) and GOCE (gravity field and steady-state ocean circulation explorer) dedicated gravity satellite missions are expected to deliver the long-wavelength scales of the Earth's gravity field with extreme precision. For many applications in Earth sciences, future research activities will have to focus on a similar precision on shorter scales not recovered by satellite missions. Here, we investigate the signal power of gravity anomalies at such short scales. We derive an average degree variance and power spectral density model for topography-reduced gravity anomalies (residual terrain model anomalies and de-trended refined Bouguer anomalies), which is valid for wavelengths between 0.7 and 100 km. The model is based on the analysis of gravity anomalies from 13 test regions in various geographical areas and geophysical settings, using various power spectrum computation approaches. The power of the derived average topography-reduced model is considerably lower than the Tscherning-Rapp free air anomaly model. The signal power of the individual test regions deviates from the obtained average model by less than a factor of 4 in terms of square-root power spectral amplitudes. Despite the topographic reduction, the highest signal power is found in mountainous areas and the lowest signal power in flat terrain. For the derived average power spectral model, a validation procedure is developed based on least-squares prediction tests. The validation shows that the model leads to a good prediction quality and realistic error measures. Therefore, for least-squares prediction, the model could replace the use of autocovariance functions derived from local or regional data.

Keywords

    Degree variances, Gravity anomalies, Gravity field, Least-squares prediction, Power spectral density, RTM reduction, Topographic reduction

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Short-wavelength spectral properties of the gravity field from a range of regional data sets. / Flury, Jakob.
In: Journal of geodesy, Vol. 79, No. 10-11, 02.2006, p. 624-640.

Research output: Contribution to journalArticleResearchpeer review

Flury J. Short-wavelength spectral properties of the gravity field from a range of regional data sets. Journal of geodesy. 2006 Feb;79(10-11):624-640. Epub 2005 Dec 14. doi: 10.1007/s00190-005-0011-y
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