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Computational methods and processing strategies for estimating Earth's gravity field.

机译：估算地球重力场的计算方法和处理策略。

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The focus of this study was to observe and characterize the behavior of certain types of errors present in the gravity field model estimation process, as they relate to fields created from the recently launched Gravity Recovery and Climate Experiment (GRACE). The instruments and configuration of the GRACE satellites are different from any other previously flown gravity mission, so the impact that these error sources have on the GRACE gravity solutions is not fully understood. The high resolution gravity perturbations detectable by GRACE also mean that many of these errors can only be fully explored through the use of high spherical harmonic degree and order solutions. When this study first began, a software estimation tool did not exist that was capable of handling the extremely large problem sizes that the GRACE mission can create. To address this issue, a parallel application called the Advanced Equation Solver for Parallel Systems (AESoP) was developed that was designed to accommodate the computational requirements of GRACE. An outline of the functionality and methodologies employed by AESoP is provided, as well as detailed descriptions of the parallel algorithms created as part of its development. Using this new software tool, several types of errors inherent to the GRACE gravity field estimation process were analyzed. Investigations into the errors of omission and commission were performed using both real and simulated GRACE data. Additional studies into the combination of the CPS and inter-satellite ranging measurements were also conducted in an attempt to maximize the contribution of each data type as well as to improve processing efficiency. The results of these studies outline several processing strategies by which many of the error sources investigated can be significantly reduced while simultaneously decreasing the processing time and disk storage requirements by roughly 75% for an average GRACE solution.
机译：这项研究的重点是观察和表征重力场模型估计过程中存在的某些类型的误差，因为它们与最近启动的重力恢复和气候实验（GRACE）创建的场有关。 GRACE卫星的仪器和配置与之前执行的其他任何重力飞行任务都不相同，因此这些误差源对GRACE重力解的影响尚不完全清楚。 GRACE可检测到的高分辨率重力扰动也意味着，只有通过使用高球谐度和阶数解，才能充分探索其中的许多误差。这项研究刚开始时，还不存在能够处理GRACE任务可能产生的极大问题的软件评估工具。为解决此问题，开发了一个并行应用程序，称为并行系统高级方程求解器（AESoP），其设计旨在满足GRACE的计算要求。概述了AESoP所采用的功能和方法，并详细描述了作为其开发一部分而创建的并行算法。使用这个新的软件工具，分析了GRACE重力场估计过程固有的几种类型的误差。使用真实的和模拟的GRACE数据对遗漏和委托误差进行了调查。还对CPS和卫星间测距的组合进行了进一步的研究，以试图使每种数据类型的贡献最大化，并提高处理效率。这些研究的结果概述了几种处理策略，通过这些策略，可以显着减少许多错误源，同时平均GRACE解决方案可将处理时间和磁盘存储需求减少大约75％。

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