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

I Foroughi, P Vaníček, P Novák, RW Kingdon… - … Symposium on Gravity …, 2019 - Springer
I Foroughi, P Vaníček, P Novák, RW Kingdon, M Sheng, MC Santos
International Symposium on Gravity, Geoid and Height Systems 2016: Proceedings …, 2019Springer
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
ψ 0 and the maximum degree l 0 of the EGM-based reference spheroid. Larger values of l 0
decrease the role of terrestrial gravity data and increase the contribution of satellite data and …
Abstract
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 ψ 0 and the maximum degree l 0 of the EGM-based reference spheroid. Larger values of l 0 decrease the role of terrestrial gravity data and increase the contribution of satellite data and vice versa for larger values of ψ 0. The determination of the optimal combination of the parameters l 0 and ψ 0 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 l 0 = 160 and ψ 0 =  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.
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