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首页> 外文期刊>Artificial Satellites: A journal of Planetary geodesy >Regional Recovery of Gravity Anomaly from the Inversion of Diagonal Components of GOCE Gravitational Tensor: A Case Study in Ethiopia
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Regional Recovery of Gravity Anomaly from the Inversion of Diagonal Components of GOCE Gravitational Tensor: A Case Study in Ethiopia

机译:GOCE引力张量的对角线分量反演引起的重力异常区域恢复:以埃塞俄比亚为例

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The tensor of gravitation is traceless as the gravitational field of the Earth is harmonic outside the Eartha??s surface. Therefore, summation of the 2nd-order horizontal derivatives on its diagonal components should be equal to the radial one but with the opposite sign. The gravity field can be recovered locally from either of them, or even their combination. Here, we use the in-orbit diagonal components of the gravitational tensor measured by the gravity field and steady state ocean circulation explorer (GOCE) mission for recovering gravity anomaly with a resolution of 1?°??1?° at sea level in Ethiopia. In order to solve the system of equations, derived after discretisation of integral equations, the Tikhonov regularisation is applied and the bias of this regularisation is estimated and removed from the estimated gravity anomalies. The errors of the anomalies are estimated and their significance of recovery from these diagonal components is investigated. Statistically, the difference between the recovered anomalies from each scenario is not significant comparing to their errors. However, their joint inversion of the diagonal components improved the solution by about 1 mGal. Furthermore, the inversion processes are better stabilised when using errors of the input data compared with its exclusion, but at the penalty of degradation in accuracy of the estimates.
机译:引力张量是无迹的,因为地球的引力场在Eartha?表面外是谐波。因此,二阶水平导数在其对角线分量上的总和应等于径向一阶,但符号相反。重力场可以从它们中的任何一个甚至它们的组合中局部恢复。在这里,我们使用由重力场和稳态海洋环流探测器(GOCE)测得的重力张量在轨对角线分量来恢复重力异常,在埃塞俄比亚海平面的分辨率为1?°?? 1?° 。为了求解在积分方程离散化后得出的方程组,应用了Tikhonov正则化,并估计了该正则化的偏差并将其从估计的重力异常中去除。估计异常的误差,并研究它们从这些对角线分量中恢复的重要性。从统计上讲,从每个场景中恢复的异常之间的差异与其误差相比并不明显。但是,他们对角线分量的联合反转使解决方案提高了约1 mGal。此外,与排除输入相比,当使用输入数据的误差时,反演过程可以更好地稳定,但是会降低估计精度。

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