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首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Localized analysis of satellite tracking data for studying time-variable Earth's gravity fields
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Localized analysis of satellite tracking data for studying time-variable Earth's gravity fields

机译：用于研究时变地球重力场的卫星跟踪数据的本地化分析

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摘要

We present a method to analyze the observations of relative distance change between two low Earth orbiting satellites of the Gravity Recovery And Climate Experiment (GRACE) mission after removing the effects caused by the mean gravity field and better-known temporal mass redistribution. The gravitational acceleration exerted by the block mean mass within a region on the Earth surface is formulated by point mass approximation and by spherical harmonic expansion. In addition to the regional mass parameters, the arc-dependent parameters (initial relative state vectors) is simultaneously modeled to remove the signals not associated with the mass variation within the focus area. While a certain level of approximation, that is committed when locally formulating the gravitational acceleration vector for numerical integration, causes model error, we benefit from regionally estimating time-variable mass with improved spatial and temporal resolutions. In addition, various temporal parameterizations depending on geographical areas and expected signals can be applied for the regional analysis in a straightforward manner and it helps to retrieve even sub-daily time-variable signals such as tides from many years of GRACE data. We present the results of hydrology and ocean tide recovery in South America, Africa, North America, and Antarctica from the analysis of 3.5 years of GRACE tracking data and compare them with the traditional global harmonic approach. The algorithm development thoroughly described here will be helpful for the science community to exploit fundamental data (range rate) of the GRACE mission in addition to monthly gravity products.
机译：我们提出了一种方法，用于分析重力恢复和气候实验（GRACE）任务的两颗低地球轨道卫星之间相对距离变化的观测结果，该观测结果消除了平均重力场和众所周知的时间质量重新分布造成的影响。地球表面上某个区域内的块平均质量所施加的重力加速度是通过点质量近似和球谐展开来表示的。除了区域质量参数外，还对与弧有关的参数（初始相对状态向量）进行了建模，以消除与聚焦区域内质量变化无关的信号。虽然在局部公式化重力加速度矢量以进行数值积分时采用一定程度的近似值会引起模型误差，但我们受益于以时间和空间分辨率提高的区域估计时变质量。此外，可以将基于地理区域和预期信号的各种时间参数化直接应用到区域分析中，并且它甚至可以从GRACE多年的数据中检索次日时变信号，例如潮汐。我们通过对3.5年GRACE跟踪数据的分析，介绍了南美，非洲，北美洲和南极洲的水文学和海洋潮汐恢复的结果，并将它们与传统的全球谐波方法进行了比较。此处详尽描述的算法开发将有助于科学界利用每月重力产品之外的GRACE任务的基本数据（测距率）。

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