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Band-Limited Analysis of Current Satellite-to-Satellite Tracking, Gradiometry and Combined Earth Gravity Models(Review)

机译:当前卫星到卫星的跟踪,梯度测量和组合地球重力模型的带限分析(综述)

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Several satellite-only gravity models based on the analysis of satellite-to-satellite tracking (SST) data have become available in the course of the last decade. The realization of the satellite missions CHAllenging Minisatellite Payload (CHAMP) and Gravity Recovery And Climate Experiment (GRACE) enabled the practical implementation of two modes of the SST principle, namely the high-low and the low-low SST. Though similar in their fundamental idea, which is the indirect observation of the gravity field based on the position of two satellites orbiting the Earth, the different architecture and geometrical layout of these techniques capture different fingerprints of the observed field. In the last few years, satellite-only gravity models based on the analysis of satellite gravity gradiometry (SGG) data became available and led to a new insight into the gravity field. The implementation of the SGG principle became possible after the launch of Gravity field and steady-state Ocean Circulation Explorer (GOCE), the first gravitational gradiometry mission. Based on the principle of differential accelerometry, GOCE provides the gravitational gradients which can be used in gravity field retrieval as primary observations of the field at satellite altitude. In the present study, we consider some of the current satellite-only and combined gravity models based on the analysis of CHAMP, GRACE, GOCE, gravimetry and altimetry data. In order to perform a thorough analysis of the models, we present an overview of tools for their quality assessment both in an absolute and relative sense in terms of computing spectral quantities, such as correlation or smoothing coefficients per degree and per order, attempting to demonstrate possible non-isotropic features in the models. Furthermore, typical geodetic measures in computing second-order derivatives, such as degree and order variances and difference variances, have been also evaluated for the same models, using the combined model EGM2008 as reference. Apart from these standard spectral assessment quantities, a systematic spatial representation of the second derivatives at satellite altitude has been performed. The combination of the two analysis steps (spectral and spatial) permits a first detailed assessment of the models, focusing especially on the identification of characteristic interpretable bandwidths.
机译:在过去的十年中,已经有了几种基于卫星到卫星跟踪(SST)数据分析的仅卫星重力模型。实现具有挑战性的微型卫星有效载荷(CHAMP)和重力恢复与气候实验(GRACE)的卫星任务使SST原理的两种模式的实际实现成为可能,即高-低和低-低SST。尽管它们的基本思想相似,即基于环绕地球运行的两颗卫星的位置对重力场进行间接观测,但这些技术的不同架构和几何布局捕获了观测场的不同指纹。在过去的几年中,基于卫星重力梯度法(SGG)数据分析的仅卫星重力模型变得可用,并且对重力场有了新的认识。在重力场和稳态海洋循环探测器(GOCE)发射后,就可以实施SGG原理,这是第一个重力梯度测量任务。根据微分加速度测量原理,GOCE提供了重力梯度,可用于重力场检索,作为卫星高度场的主要观测值。在本研究中,我们基于对CHAMP,GRACE,GOCE,重力法和测高仪数据的分析,考虑了一些当前的仅卫星和组合重力模型。为了对模型进行彻底的分析,我们在计算光谱量(例如每度和每阶的相关性或平滑系数)方面,从绝对和相对的角度介绍了用于质量评估的工具的概述。模型中可能存在的非各向同性特征。此外,还使用组合模型EGM2008作为参考,对相同模型评估了计算二阶导数时的典型大地测量,例如度和阶方差和差异方差。除了这些标准频谱评估量以外,还对卫星高度的二阶导数进行了系统的空间表示。这两个分析步骤(频谱和空间)的组合允许对模型进行首次详细评估,尤其是着眼于特征可解释带宽的识别。

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