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A strategy to calibrate errors of Earth gravity models
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering. University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.ORCID iD: 0000-0003-0067-8631
K.N.Toosi University of Technology, Tehran, Iran.
2014 (English)In: Journal of Applied Geophysics, ISSN 0926-9851, E-ISSN 1879-1859, Vol. 103, no April, p. 215-220Article in journal (Refereed) Published
Abstract [en]

In this paper, three independent Earth gravity models (EGMs) ofGO_CONS_GCF_2_TIM_R4, AIUB-GRACE03S and ULux_CHAMP2013s are combined to degree and order 120. The geoid models of these EGMs are computed and compared with the Global Positioning System (GPS) and levelling data over Fennoscandia. We found that the simple mean of these geoid models is closer to the GPS/levelling data than their weighted mean. This means that errors of the EGMs are not properly estimated as they are used in the weighted mean solution. We develop a method based on solving a nonlinear condition adjustment model to calibrate the errors so that the result of weighted mean becomes the same as that of the simple mean. Numerical results show slight changes in the errors of GRACE03S but large ones in those of GO_CONS_GCF_2_TIM_R4 and ULux_CHAMP2013s. Furthermore, the weighted mean solution considering the calibrated errors and some additional constraints is better than GOCO03S to degree and order 120 over Fennoscandia.

Place, publisher, year, edition, pages
2014. Vol. 103, no April, p. 215-220
Keywords [en]
Combination, Combined models, Error calibration, Global gravity models, Nonlinear condition adjustment
National Category
Geophysics
Research subject
ENGINEERING, Geodesy
Identifiers
URN: urn:nbn:se:hv:diva-6076DOI: 10.1016/j.jappgeo.2014.02.001ISI: 000334133400019Scopus ID: 2-s2.0-84894411352OAI: oai:DiVA.org:hv-6076DiVA, id: diva2:706562
Available from: 2014-03-20 Created: 2014-03-20 Last updated: 2019-11-29Bibliographically approved

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Eshagh, Mehdi

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