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    RTM gravity forward-modeling using topography/bathymetry data to improve high-degree global geopotential models in the coastal zone

    191490_82667_hirt2013_coastal_modelling_MarineGeod_AV.pdf (2.757Mb)
    Access Status
    Open access
    Authors
    Hirt, Christian
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Hirt, Christian. 2013. RTM gravity forward-modeling using topography/bathymetry data to improve high-degree global geopotential models in the coastal zone. Marine Geodesy. 36 (2): pp. 183-202.
    Source Title
    Marine Geodesy
    DOI
    10.1080/01490419.2013.779334
    ISSN
    01490419
    Remarks

    This is an Accepted Manuscript of an article published in Marine Geodesy on 23 May 2013, available online: http://www.tandfonline.com/10.1080/01490419.2013.779334

    URI
    http://hdl.handle.net/20.500.11937/45384
    Collection
    • Curtin Research Publications
    Abstract

    We apply the residual terrain modeling (RTM) technique for gravity forward-modeling to successfully improve high-resolution global gravity fields at short spatial scales in coastal zones. The RTM scheme is combined with the concept of rock-equivalent topography, allowing to use a single uniform constant mass-density in the RTM forward-modeling, both at land and sea. SRTM30_PLUS bathymetry is merged with higher-resolution SRTM V4.1 land topography, and expanded into spherical harmonics to degree 2160, yielding a new and consistent high-degree RTM reference surface. The forward-modeling performance is demonstrated in coastal zones of Greece and Canada using ground-truth vertical deflections, gravity from land and shipborne gravimetry, and geoid heights from GPS/leveling, with improvements originating from bathymetry clearly identified. We demonstrate that the SRTM30_PLUS bathymetry carries information on gravity field structures at spatial scales less than 5 arc minutes, which can be used to augment EGM2008 in (rugged) coastal zones, both over land and marine areas. This may be of value (i) to partially reduce the signal omission error in EGM2008/GOCE-based height transfer in areas devoid of dense gravity data, (ii) to fill the gap between land gravity and shipborne gravity along rugged coastlines and (iii) for the development of next-generation altimetric gravity fields.

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