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首页> 外文会议>Proceedings of 4th international GOCE User workshop. >GOCE EXPLOITATION FOR MOHO MODELING AND APPLICATIONS
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GOCE EXPLOITATION FOR MOHO MODELING AND APPLICATIONS

机译：GOHO开发MOHO建模与应用

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摘要

New ESA missions dedicated to the observation of thernEarth from space, like the gravity-gradiometry missionrnGOCE and the radar altimetry mission CRYOSAT 2,rnfoster research, among other subjects, also on inverserngravimetric problems and on the description of thernnature and the geographical location of gravimetricrnsignals.rnIn this framework the GEMMA project (GOCErnExploitation for Moho Modeling and Applications),rnfunded by the European Space Agency and Politecnicorndi Milano, aims at estimating the boundary betweenrnEarth's crust and mantle (the so called Mohorovi?i?rndiscontinuity or Moho) from GOCE data in key regionsrnof the world.rnIn the project a solution based on a simple two layerrnmodel in spherical approximation is proposed. Thisrninversion problem based on the linearization of thernNewton's gravitational law around an approximate meanrnMoho surface will be solved by exploitingrnWiener-Kolmogorov theory in the frequency domainrnwhere the depth of the Moho discontinuity will berntreated as a random signal with a zero mean and its ownrncovariance function. The algorithm can be applied in arnnumerically efficient way by using the Fast FourierrnTransform.rnAs for the gravity observations, we will consider gridsrnof the anomalous gravitational potential and its secondrnradial derivative at satellite altitude. In particular thisrnwill require first of all to elaborate GOCE data to obtainrna local grid of the gravitational potential field and itsrnsecond radial derivative and after that to separate therngravimetric signal due to the considered discontinuityrnfrom the gravitational effects of other geologicalrnstructures present into the observations. The firstrnproblem can be solved by applying the so called spacewisernapproach to GOCE observations, while the secondrnone can be achieved by considering a priori models andrngeophysical information by means of an appropriaternBayesan technique. Moreover other data such as groundrngravity anomalies or seismic profiles can be combined,rnin an efficient way, to gridded satellite data in order tornobtain better results. The research has to be firstlyrnperformed on case studies where existing data allow therncalibration of the approach.rnAmong other things this project represents a carefulrnstudy of the prior weighting of different informationrnsources, including the rather qualitative geologicalrninformation.
机译：专门用于从太空观测地球的新的ESA任务，例如重力梯度测量任务rnGOCE和雷达测高任务CRYOSAT 2，rnfoster研究以及其他主题，还涉及反重力问题以及对温度和重力重力信号的地理位置的描述。在此框架中，由欧洲航天局和Politecnicorndi Milano资助的GEMMA项目（用于Moho建模和应用的GOCE开发）旨在从GOCE数据中估算出地壳与地幔之间的边界（所谓的Mohorovi？i？rndiscontinuity或Moho）。在该项目中，提出了一个基于简单的两层球形近似模型的解决方案。将通过在频域中利用Wiener-Kolmogorov理论解决Moho不连续深度作为零均值及其自身协方差函数的随机信号，从而基于牛顿重力定律在近似均值Moho表面周围线性化的反演问题。通过使用快速傅里叶变换，可以以有效的方式应用该算法。对于重力观测，我们将考虑在卫星高度处的反重力势及其二阶导数。特别是，这首先需要详细说明GOCE数据，以获得重力势场的局部网格及其第二径向导数，然后再将由于考虑到的不连续性而导致的重力信号与观测中存在的其他地质结构的重力影响分开。第一个问题可以通过对GOCE观测应用所谓的“空间方向”方法来解决，而第二个问题可以通过考虑适当的Bayesan技术考虑先验模型和地球物理信息来实现。此外，诸如地重力异常或地震剖面等其他数据可以有效地组合到栅格化的卫星数据中，以获得更好的结果。首先必须在案例研究中进行研究，在案例研究中，现有数据可以对方法进行校准。除其他事项外，该项目还代表了对不同信息源的先验权重的仔细研究，包括相当定性的地质信息。

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