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    Development of a Synthetic Earth Gravity Model by 3D mass optimisation based on forward modelling

    169514_169514apdf.pdf (3.203Mb)
    Access Status
    Open access
    Authors
    Fellner, J.
    Kuhn, Michael
    Featherstone, Will
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Fellner, J.J. and Kuhn, M. and Featherstone, W.E. 2012. Development of a Synthetic Earth Gravity Model by 3D mass optimisation based on forward modelling. Earth, Planets Space. 64 (1): pp. 5-12.
    Source Title
    Earth Planets and Space
    DOI
    10.5047/eps.2011.07.012
    ISSN
    13438832
    School
    Department of Spatial Sciences
    Remarks

    Published with permission

    URI
    http://hdl.handle.net/20.500.11937/42778
    Collection
    • Curtin Research Publications
    Abstract

    Several previous Synthetic Earth Gravity Model (SEGM) simulations are based on existing information about the Earth’s internal mass distribution. However, currently available information is insufficient to model the Earth’s anomalous gravity field on a global scale. The low-frequency information is missing when modelling only topography, bathymetry and crust (including the Mohorovičić discontinuity), but the inclusion of information on the mantle and core does not seem to significantly improve this situation. This paper presents a method to determine a more realistic SEGM by considering simulated 3D mass distributions within the upper mantle as a proxy for all unmodelled masses within the Earth.The aim is to improve an initial SEGM based on forward gravity modelling of the topography, bathymetry and crust such that the missing low-frequency information is now included. The simulated 3D mass distribution has been derived through an interactive and iterative mass model optimisation algorithm, which minimises geoid height differences with respect to a degree-360 spherical harmonic expansion of the EGM2008 global external gravity field model. We present the developed optimisation algorithm by applying it to the development of a global SEGM that gives a reasonably close fit to EGM2008, and certainly closer than a SEGM based only on the topography, bathymetry and crust.

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