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Computational Geosciences

, Volume 16, Issue 4, pp 975–986 | Cite as

Signature of the upper mantle density structure in the refined gravity data

  • Robert Tenzer
  • Mohammad Bagherbandi
  • Vladislav Gladkikh
Original Paper

Abstract

The gravitational signal of the upper mantle density structures is investigated in the refined gravity data which are corrected for the gravitational contributions of the crust density structures and the Moho geometry. The gravimetric forward modeling is applied to compute these refined gravity data globally on a 1 × 1 arcdeg grid using the global geopotential model (EGM2008), the global topographic/bathymetric model (DTM2006.0) including the ice-thickness data, and the global crustal model (CRUST2.0). The characteristics of the upper mantle density structures are further analyzed in association with the Moho parameters (i.e., Moho depths and density contrast). The 1 × 1 arcdeg global data of the Moho parameters are estimated by applying the combined least-squares approach based on solving Moritz’s generalization of the Vening–Meinesz inverse problem of isostasy. The refined gravity data exhibit mainly the mantle lithosphere structures attributed to the global mantle convection. A significant correlation found over oceans between the refined gravity data and the Moho density contrast is explained by the increasing density of the oceanic lithosphere with age. Despite the lithosphere structures attributed to the global mantle convection are confirmed also in the refined gravity data over continents, the significant correlation between the refined gravity data and the Moho parameters is in this case absent. Instead, the significant proportion of lateral variations of the Moho density contrast within the continental lithosphere is attributed to the depth-dependant density changes due to pressure and thermal gradient.

Keywords

Crust Mantle lithosphere Gravity Moho interface 

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References

  1. 1.
    Bassin, C., Laske, G., Masters, G.: The current limits of resolution for surface wave tomography in North America. EOS, Trans AGU, 81, F897 (2000)Google Scholar
  2. 2.
    Mooney, W.D., Laske, G., Masters, T.G.: CRUST 5.1: a global crustal model at 5° × 5°. J. Geophys. Res. 103B, 727–747 (1998)CrossRefGoogle Scholar
  3. 3.
    Tenzer, R., Novák, P., Gladkikh, V.: On the accuracy of the bathymetry-generated gravitational field quantities for a depth-dependent seawater density distribution. Stud. Geophys. Geod. 55, 609–626 (2011)CrossRefGoogle Scholar
  4. 4.
    Tenzer, R., Novák, P., Hamayun, Vajda, P.: Spectral expressions for modelling the gravitational field of the Earth’s crust density structure. Stud. Geophys. Geod. 56(1), 141–152 (2012)Google Scholar
  5. 5.
    Tenzer, R., Novák, P., Vajda, P.: Uniform spectral representation of the Earth’s inner density structures and their gravitational field. Stud. Geophys. Geod. 41(3), 191–209 (2011)Google Scholar
  6. 6.
    Tenzer, R., Hamayun, Novák, P., Gladkikh, V., Vajda, P.: Global crust–mantle density contrast estimated from EGM2008, DTM2008, CRUST2.0, and ICE-5G. Pure Appl. Geophys. (2012). doi: 10.1007/s00024-011-0410-3 Google Scholar
  7. 7.
    Sjöberg, L.E.: Solving Vening–Meinesz–Moritz inverse problem in isostasy. Geophys. J. Int. 179, 1527–1536 (2009)CrossRefGoogle Scholar
  8. 8.
    Sjöberg, L.E., Bagherbandi, M.: A method of estimating the Moho density contrast with a tentative application by EGM08 and CRUST2.0. Acta Geophys. 59(3), 502–525 (2011)CrossRefGoogle Scholar
  9. 9.
    Heiskanen, W.H., Moritz, H.: Physical Geodesy. Freeman, San Francisco (1967)Google Scholar
  10. 10.
    Novák, P.: High resolution constituents of the Earth gravitational field. Surv. Geophys. 31(1), 1–21 (2010)CrossRefGoogle Scholar
  11. 11.
    Tenzer, R., Novák, P., Vajda, P., Gladkikh, V., Hamayun: spectral harmonic analysis and synthesis of Earth’s crust gravity field. Comput. Geosci. 16(1), 193–207 (2012)CrossRefGoogle Scholar
  12. 12.
    Tenzer, R., Gladkikh, V., Vajda, P., Novák, P.: Spatial and spectral analysis of refined gravity data for modelling the crust–mantle interface and mantle–lithosphere structure. Surv. Geoph. (2012). doi: 10.1007/s10712-012-9173-3 Google Scholar
  13. 13.
    Pavlis, N.K., Holmes, S.A., Kenyon, S.C., Factor, J.K.: An Earth Gravitational Model to Degree 2160: EGM 2008. Presented at Session G3: GRACE Science Applications, EGU, Vienna (2008)Google Scholar
  14. 14.
    Hinze, W.J.: Bouguer reduction density, why 2.67? Geophysics 68(5), 1559–1560 (2003)Google Scholar
  15. 15.
    Pavlis, N.K., Factor, J.K., Holmes, S.A.: Terrain-related gravimetric quantities computed for the next EGM. In: Gravity field of the Earth. In: Kiliçoglu, A., Forsberg, R. (eds.) Proceedings of the 1st International Symposium of the International Gravity Field Service (IGFS), Harita Dergisi, Special Issue No. 18, General Command of Mapping, Ankara, Turkey (2007)Google Scholar
  16. 16.
    Gladkikh, V., Tenzer, R.: A mathematical model of the global ocean saltwater density distribution. Pure Appl. Geophys. 169(1–2), 249-257 (2012)Google Scholar
  17. 17.
    Johnson, D.R., Garcia, H.E., Boyer, T.P.: World Ocean Database 2009 Tutorial. In: Levitus, S. (ed.), NODC Internal Report 21, NOAA Printing Office, Silver Spring, MD (2009)Google Scholar
  18. 18.
    Gouretski, V.V., Koltermann, K.P.: Berichte des Bundesamtes für Seeschifffahrt und Hydrographie, Nr. 35 (2004)Google Scholar
  19. 19.
    Ekholm, S.: A full coverage, high-resolution, topographic model of Greenland, computed from a variety of digital elevation data. J. Geophys. Res. B10(21), 961–972 (1996)Google Scholar
  20. 20.
    Cutnell, J.D., Kenneth, W.J.: Physics, 3rd Edition. Wiley, New York (1995)Google Scholar
  21. 21.
    Dziewonski, A.M., Anderson, D.L.: Preliminary reference Earth model. Phys. Earth Planet. Inter. 25, 297–356 (1981)CrossRefGoogle Scholar
  22. 22.
    Müller, R.D., Sdrolias, M., Gaina, C., Roest, W.R.: Age, spreading rates and spreading symmetry of the world’s ocean crust. Geochem. Geophys. Geosyst. 9, Q04006 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Robert Tenzer
    • 1
    • 4
  • Mohammad Bagherbandi
    • 2
    • 3
  • Vladislav Gladkikh
    • 1
  1. 1.National School of SurveyingUniversity of OtagoDunedinNew Zealand
  2. 2.Division of Geodesy and GeoinformaticsRoyal Institute of Technology (KTH)StockholmSweden
  3. 3.Department of Industrial Development, IT and Land ManagementUniversity of GävleGävleSweden
  4. 4.National School of SurveyingUniversity of OtagoDunedinNew Zealand

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