Numerical study on the mixed model in the GOCE polar gap problem |
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Authors: | Xiancai Zou Jianqing Cai Nico Sneeuw Jiancheng Li |
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Institution: | (1) Geodesy and Geophysics Basic and Applied Research, National Geospatial-Intelligence Agency (NGA), 12310 Sunrise Valley Drive, Mail Stop P-126, 20191-3449 Reston, VA, USA |
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Abstract: | Gravity gradients acquired by the Gravity field and steady-state Ocean Circulation Explorer (GOCE) do not cover the entire
earth because of its sun-synchronous orbit leaving data gaps with a radius of about 6.5° in the polar regions. Previous studies
showed that the loss of data in the polar regions deteriorates the accuracy of the low order (or near zonal) coefficients
of the earth gravity model, which is the so-called polar gap problem in geodesy. In order to find a stable solution for the
earth gravity model from the GOCE gravity gradients, three models, i.e. the Gauss-Markov model, light constraint model and
the mixed model, are compared and evaluated numerically with the gravity gradient simulated with the EGM2008. The comparison
shows that the Best Linear Uniformly Unbiased Estimation (BLUUE) estimator of the mixed model can solve the polar gap problem
as effectively as the light constraint model; furthermore, the mixed model is more rigorous in dealing with the supplementary
information and leads to a better accuracy in determining the global geoid. |
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Keywords: | Earth gravity model satellite gravity GOCE mixed model polar gap problem |
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