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Optimal combination of satellite and terrestrial gravity data for regional geoid determination using Stokes-Helmert’s method, the Auvergne test case

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43933133" target="_blank" >RIV/49777513:23520/17:43933133 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/1345_2017_22" target="_blank" >https://doi.org/10.1007/1345_2017_22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/1345_2017_22" target="_blank" >10.1007/1345_2017_22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimal combination of satellite and terrestrial gravity data for regional geoid determination using Stokes-Helmert’s method, the Auvergne test case

  • Original language description

    The precise regional geoid modelling requires combination of terrestrial gravity data with satellite-only Earth Gravitational Models (EGMs). In determining the geoid using the Stokes-Helmert approach, the relative contribution of terrestrial and satellite data to the computed geoid can be specified by the Stokes integration cap size defined by the spherical distance and the maximum degree of the EGM-based reference spheroid. Larger values of the degree decrease the role of terrestrial gravity data and increase the contribution of satellite data and vice versa for larger values of the integration radius. The determination of the optimal combination of the two parameters and is numerically investigated in this paper. A numerical procedure is proposed to find the best geoid solution by comparing derived gravimetric geoidal heights with those at GNSS/levelling points. The proposed method is tested over the Auvergne geoid computation area. The results show that despite the availability of recent satellite-only EGMs with the maximum degree/order 300, the combination of the degree 160 and radius of 45 arc-min yields the best fitting geoid in terms of the standard deviation and the range of the differences between the estimated gravimetric and GNSS/levelling geoidal heights. Depending on the accuracy of available ground gravity data and reference geoidal heights at GNSS/levelling points, the optimal combination of these two parameters may be different in other regions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

    <a href="/en/project/GA15-08045S" target="_blank" >GA15-08045S: Methods for validation, analysis and application of data from satellite missions in geodesy and geophysics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Symposium on Gravity, Geoid and Height Systems 2016. International Association of Geodesy Symposia

  • ISBN

    978-3-319-95317-5

  • ISSN

    0939-9585

  • e-ISSN

    2197-9359

  • Number of pages

    7

  • Pages from-to

    37-43

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham, Switzerland

  • Event location

    Thessaloniki, Greece

  • Event date

    Sep 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article