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Local error calibration of EGM08 geoid using GNSS/levelling data
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för data-, elektro- och lantmäteriteknik.ORCID-id: 0000-0003-0067-8631
Division of Geodesy and Satellite Positioning, Royal Institute of Technology (KTH), Stockholm, Sweden.
2016 (engelsk)Inngår i: Journal of Applied Geophysics, ISSN 0926-9851, E-ISSN 1879-1859, Vol. 130, nr July, s. 209-217Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The geoid error, computed from EGM08, is unrealistically large due to the continuation of the spherical harmonic coefficient errors down to the surface of the reference ellipsoid. In this study, we try to calibrate such an error by the differences between the EGM08 and GNSS/levelling geoids over Fennoscandia. We use the variance component estimation procedure through combined adjustments of the geoid and GNSS/levelling heights using corrector surfaces of 4-, 5- and 7-parameter. We also develop a simple iterative method to calibrate the geoid error from the a posteriori variance factor and the errors of GNSS/levelling geoid. Our numerical investigations show that performing the separate adjustment and variance component estimation for each country with a two-component stochastic model is more successful than performing it in the whole area with a five-component model. The number of GNSS/levelling data over Sweden and Norway are much larger than those in Denmark and Finland. This causes that the corrector surfaces are fitted better in these countries and consequently the estimated errors for the geoid become larger than what they should be in the others. Based on a 7-parameter corrector surface model, the average error of the EGM08 geoid becomes 12, 17, 51 and 34 mm, in Sweden, Denmark, Norway and Finland, respectively. If the two-component stochastic model is used in a combined adjustment over Fennoscandia this average error will be 48 mm.

sted, utgiver, år, opplag, sider
2016. Vol. 130, nr July, s. 209-217
Emneord [en]
Variance component estimation; A posteriori variance factor; Combined adjustment; Geoid
HSV kategori
Identifikatorer
URN: urn:nbn:se:hv:diva-9347DOI: 10.1016/j.jappgeo.2016.05.002ISI: 000379372700020Scopus ID: 2-s2.0-84969142687OAI: oai:DiVA.org:hv-9347DiVA, id: diva2:928056
Tilgjengelig fra: 2016-05-14 Laget: 2016-05-14 Sist oppdatert: 2019-05-20bibliografisk kontrollert

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