首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Surface mass redistribution inversion from global GPS deformation and Gravity Recovery and Climate Experiment (GRACE) gravity data
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Surface mass redistribution inversion from global GPS deformation and Gravity Recovery and Climate Experiment (GRACE) gravity data

机译:来自全球GPS变形和重力回收和气候实验(Grace)重力数据的表面质量再分配反转

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Monitoring hydrological redistributions through their integrated gravitational effect is the primary aim of the Gravity Recovery and Climate Experiment (GRACE) mission. Time-variable gravity data from GRACE can be uniquely inverted to hydrology, since mass transfers located at or near the Earth's surface are much larger on shorter timescales than those taking place within the deeper Earth and because one can remove the contribution of atmospheric masses from air pressure data. Yet it has been proposed that at larger scales this may be achieved independently by measuring and inverting the elastic loading associated with redistributing masses, e.g., with the global network of the International GPS Service (IGS). This is particularly interesting as long as GRACE monthly gravity solutions do not (yet) match the targeted baseline accuracies at the lower spherical harmonic degrees. In this contribution (1) we describe and investigate an inversion technique which can deal jointly with GPS data and monthly GRACE solutions. (2) Previous studies with GPS data have used least squares estimators and impose solution constraints through low-degree spherical harmonic series truncation. Here we introduce a physically motivated regularization method that guarantees a stable inversion up to higher degrees, while seeking to avoid spatial aliasing. (3) We apply this technique to GPS data provided by the IGS service covering recent years. We can show that after removing the contribution ascribed to atmospheric pressure loading, estimated annual variations of continental-scale mass redistribution exhibit pattern similar to those observed with GRACE and predicted by a global hydrology model, although systematic differences appear to be present. (4) We compute what the relative contribution of GRACE and GPS would be in a joint inversion: Using current error estimates, GPS could contribute with up to 60% to degree 2 till 4 spherical harmonic coefficients and up to 30% for higher-degree coefficients.
机译:通过综合引力效应监测水文再分配是重力回收和气候实验(Grace)任务的主要目的。来自恩典的时间可变重力数据可以是独特的水文,因为位于地球表面的质量转移比在更深的地球内更短的时间尺寸更大,因为可以消除空气中大气质量的贡献压力数据。然而,已经提出,在更大的尺度上,这可以通过测量和反转与再分配群众相关的弹性装载,例如,与国际GPS服务(IGS)的全球网络一起测量和反转。只要恩典每月重力解决方案没有(又一)匹配较低球形谐波度的目标基线精度匹配,这很有趣。在本贡献(1)中,我们描述并调查了一种可与GPS数据和每月宽限解决方案共同交易的反转技术。 (2)通过GPS数据的先前研究使用了最小二乘估计器,并通过低度球形谐波序列截断施加解决方案限制。在这里,我们介绍了一种物理上积极的正则化方法,可确保稳定的反转达到更高程度,同时寻求避免空间锯齿。 (3)我们将该技术应用于近年来IGS服务提供的GPS数据。我们可以证明,在消除归因于大气压力负荷的贡献后,估计的大陆级别重新分布的年度变化与恩典观察的那些类似的模式,并且通过全球水文模型预测,尽管似乎存在系统差异。 (4)我们计算恩典和GPS的相对贡献将在联合反演中:使用当前的错误估计,GPS可以贡献高达60%至2至4个球形谐波系数,高度高达30%系数。

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