Local Geoid Determination from GRACE Mission

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2002-02

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Ohio State University. Division of Geodetic Science

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An analysis is made about the feasibility of using in-situ GRACE measurements for local gravity field determination as an alternative to global solution methods, which yield solutions in terms of spherical harmonic coefficients. The method investigated is based on integral inversion aided with regularization techniques. The observables considered are potential differences (DT) and gravity disturbance differences (DGD). Both observables are affected by position, velocity and acceleration errors. With respect to position errors, the higher precision requirement is in relative position for DT, which requires about 1 cm of absolute positional accuracy to produce 0.01 m2/s2 error. For velocities, the higher precision requirement is in relative velocity for both DT and DGD. The observable DT required the higher precision 10−5 mgal in relative acceleration. The disturbing potential T at the Earth’s surface, assumed to be a sphere, can be obtained from values of DT and DGD given at satellite’s altitude. The process turns out to be ill-posed mainly due to gravity field attenuation at the operative altitude of the GRACE mission (300-500 km). Data error requirements are very demanding for downward continuation of both DT and DGD. The Tikhonov regularization method was applied for the following configuration: a grid of 0°.8 sampling interval for a 24° square area at 400 km altitude. Measurement errors smaller than 1x10−5 m2/s2 in DT are required to achieve solution errors of the level of 1 m2/s2 and with a relative error of about 10%. However, this increased to only 3 m2/s2 with 0.01 m2/s2 measurement error. It is found that model errors due to discrete and finite sampling cause large mean solution errors. The principal inversion methods employed were the Tikhonov, singular value decomposition, the conjugate gradient and the 1-D fast Fourier transform (FFT) method. Their performance was compared using simulations by employing three test areas with the same configuration described above, but different geographical location. The regularization methods were applied for both DT and DGD observables Overall, the Tikhonov method performed better than the other methods. For the above configuration, T was obtained with about 2.5 m2/s2 precision neglecting the mean error. In the search of the best regularization parameter (α ), the L-curve method, which can be applied to the Tikhonov, DSVD and the 1D-FFT, combined with Tikhonov, methods, was analyzed and yielded good results when considering only random errors in the iii measurements. However, when considering model errors, the method did not produce satisfactory results. A geometry adaptive method was formulated to find the best α . The method consists of determining a k factor that relates the residual norm related to the corner of the L-curve with the residual related to the best α . Finally, the Tikhonov regularization combined with B-spline smoothing was applied. The method yielded smaller solution errors using the above configuration. The solution errors obtained were about 1.2 and 1.1 m2/s2 for 1°.2 resolution using DT and DGD, respectively. The corresponding relative error was about 10%. This could potentially produce about 10 cm geoid for about 150 km resolution. All simulations were made using the geopotential model EGM96.

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This report was prepared by Ramon V. Garcia Lopez, a graduate research assistant, Department of Civil and Environmental Engineering and Geodetic Science, under the supervision of Professor Christopher Jekeli.
The research documented in this report was supported by a grant from the Center for Space Research, University of Texas, Austin; Contract No. UTA98-0223.
This report was also submitted to the Graduate School of The Ohio State University as a dissertation in partial fulfillment of the requirements for the PhD degree.

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