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    Testing Stokes-Helmert geoid model computation on a synthetic gravity field: experiences and shortcomings

    195885_195885.pdf (3.237Mb)
    Access Status
    Open access
    Authors
    Vaníček, P.
    Kingdon, R.
    Kuhn, Michael
    Ellmann, A.
    Featherstone, Will
    Santos, M.
    Martinec, Z.
    Hirt, Christian
    Avalos, D.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Vaníček, Petr and Kingdon, Robert and Kuhn, Michael and Ellmann, Artu and Featherstone, Will E. and Santos, Marcelo C. and Martinec, Zdeněk and Hirt, Christian and Avalos-Naranjo, David. 2013. Testing Stokes-Helmert geoid model computation on a synthetic gravity field: experiences and shortcomings. Studia Geophysica et Geodaetica. 57 (3): pp. 369-400.
    Source Title
    Studia Geophysica et Geodaetica
    DOI
    10.1007/s11200-012-0270-z
    ISSN
    00393169
    Remarks

    The final publication is available at Springer via http://dx.doi.org/10.1007/s11200-012-0270-z

    URI
    http://hdl.handle.net/20.500.11937/29403
    Collection
    • Curtin Research Publications
    Abstract

    We report on testing the UNB (University of New Brunswick) software suite for accurate regional geoid model determination by use of Stokes-Helmert’s method against an Australian Synthetic Field (ASF) as “ground truth”. This testing has taken several years and has led to discoveries of several significant errors (larger than 5mm in the resulting geoid models) both in the UNB software as well as the ASF. It was our hope that, after correcting the errors in UNB software, we would be able to come up with some definite numbers as far as the achievable accuracy for a geoid model computed by the UNB software. Unfortunately, it turned out that the ASF contained errors, some of as yet unknown origin, that will have to be removed before that ultimate goal can be reached. Regardless, the testing has taught us some valuable lessons, which we describe in this paper. As matters stand now, it seems that given errorless gravity data on 1’ by 1’ grid, a digital elevation model of a reasonable accuracy and no topographical density variations, the Stokes-Helmert approach as realised in the UNB software suite is capable of delivering an accuracy of the geoid model of no constant bias, standard deviation of about 25 mm and a maximum range of about 200 mm. We note that the UNB software suite does not use any corrective measures, such as biases and tilts or surface fitting, so the resulting errors reflect only the errors in modelling the geoid.

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