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Rigorous Evaluation of Gravity Field Functionals from Satellite-Only Gravitational Models Within Topography

机译:严格评估重力场功能从地形内卫星引力模型

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Currently, extensive work is being done in the field of geodesy on producing better gravitational models using purely space-based techniques. With the large datasets spanning a long timeframe, thanks to the GOCE and GRACE missions, it is now possible to compute high quality global gravitational models and publish them in a convenient form: spherical harmonics. For regional geoid modeling, this is advantageous as these models provide a useful reference which can be improved with terrestrial observations. In order for these global models to be usable below the topographical surface, certain considerations are required; topographical masses cause the function that describes the gravity potential to be non-harmonic in the space between the topographical surface and the geoid. This violates the mathematical assumptions behind solid spherical harmonics. This paper aims to look at the error caused by evaluating solid spherical harmonics when topography is present. It thus provides a more rigorous methodology than the commonly used approach of computing the quasigeoid and then applying an approximate correction term for the geoid-quasigeoid separation. It is therefore well-suited for the Stokes-Helmert approach to high-precision regional geoid computation. Comparisons between the more rigorous methodology and the generally used algorithm are made in order to study the error that is committed. With a range of 23.6 cm and a standard deviation of 0.8 cm, this is a non-trivial error if the ultimate goal is to compute a regional geoid with an accuracy of better than 1 cm.
机译:目前,使用纯粹基于空间的技术在生产更好的引力模型的地理区域领域正在进行广泛的工作。通过跨越长时间的大型数据集,由于Goce和Grace任务,现在可以计算高质量的全球重力模型,并以方便的形式发布它们:球面谐波。对于区域地区地区建模,这是有利的,因为这些模型提供了可以用陆地观察改善的有用参考。为了使这些全球型号可用在地形表面下方,需要某些考虑因素;地形质量导致描述重力电位在地形表面和大地区之间的空间中是非谐波的。这违反了实心球形谐波后面的数学假设。本文旨在查看当出现地形时评估固体球形谐波引起的误差。因此,它提供比计算Quasiptoid的常用方法更严格的方法,然后施加大量校正术语的大量校正术语。因此,它非常适合斯托克斯 - 蠕虫方法来高精度的区域大地区木制计算。更严格的方法和通常使用的算法之间的比较是为了研究承诺的错误。范围为23.6厘米,标准偏差为0.8厘米,如果最终目标是计算区域大地区,则这是一个非琐碎的误差,精度优于1厘米。

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