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A theory on geoid modeling by spectral combination of data from satellite gravity gradiometry, terrestrial gravity and an Earth gravitational model
Royal Institute of Technology (KTH) Division of Geodesy and Geoinformatics.
Islamic Azad University, Shahr-e-Rey Branch Department of Surveying Tehran Iran.ORCID iD: 0000-0003-0067-8631
2012 (English)In: Acta Geodaetica et Geophysica Hungarica, ISSN 1217-8977, E-ISSN 1587-1037, Vol. 47, no 1, p. 13-28Article in journal (Refereed) Published
Abstract [en]

In precise geoid modelling the combination of terrestrial gravity data and an Earth Gravitational Model (EGM) is standard. The proper combination of these data sets is of great importance, and spectral combination is one alternative utilized here. In this method data from satellite gravity gradiometry (SGG), terrestrial gravity and an EGM are combined in a least squares sense by minimizing the expected global mean square error. The spectral filtering process also allows the SGG data to be downward continued to the Earth's surface without solving a system of equations, which is likely to be ill-conditioned. Each practical formula is presented as a combination of one or two integral formulas and the harmonic series of the EGM.Numerical studies show that the kernels of the integral part of the geoid and gravity anomaly estimators approach zero at a spherical distance of about 5°. Also shown (by the expected root mean square errors) is the necessity to combine EGM08 with local data, such as terrestrial gravimetric data, and/or SGG data to attain the 1-cm accuracy in local geoid determination.

Place, publisher, year, edition, pages
2012. Vol. 47, no 1, p. 13-28
Keywords [en]
downward continuation, filtering kernel, geoid, gravity field recovery, integral formulas
National Category
Geophysics
Identifiers
URN: urn:nbn:se:hv:diva-5308DOI: 10.1556/AGeod.47.2012.1.2ISI: 000301500800002OAI: oai:DiVA.org:hv-5308DiVA, id: diva2:617371
Available from: 2013-04-23 Created: 2013-04-23 Last updated: 2017-12-06Bibliographically approved

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Eshagh, Mehdi

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