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Methods for evaluation of geodetic data and seismicity developed with numerical simulations: Review and applications

机译：用数值模拟开发的大地数据和地震活动性评估方法：回顾与应用

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In this work we review the development of both established and innovative analytical techniques using numerical simulations of the southern California fault system and demonstrate the viability of these methods with examples using actual data. The ultimate goal of these methods is to better understand how the surface of the Earth is changing on both long-and short-term time scales, and to use the resulting information to learn about the internal processes in the underlying crust and to predict future changes in the deformation and stress field. Three examples of the analysis and visualization techniques are discussed in this paper and include the Karhunen-Loeve (KL) decomposition technique, local Ginsberg criteria (LGC) analysis, and phase dynamical probability change (PDPC). Examples of the potential results from these methods are provided through their application to data from the Southern California Integrated GPS Network (SCIGN), historic seismicity data, and simulated InSAR data, respectively. These analyses, coupled with advances in modeling and simulation, will provide the capability to track changes in deformation and stress through time, and to relate these to the development of space-time correlations and patterns.
机译：在这项工作中，我们回顾了使用南加州断层系统数值模拟的既定分析方法和创新分析技术的发展情况，并使用实际数据举例说明了这些方法的可行性。这些方法的最终目标是更好地了解地球表面在长期和短期时间尺度上是如何变化的，并使用所得信息来了解底层地壳的内部过程并预测未来的变化在变形和应力领域。本文讨论了三个分析和可视化技术示例，其中包括Karhunen-Loeve（KL）分解技术，局部Ginsberg准则（LGC）分析和相动力学概率变化（PDPC）。这些方法的潜在结果示例分别通过将其应用到来自南加州综合GPS网络（SCIGN）的数据，历史地震数据和模拟的InSAR数据中来提供。这些分析，再加上建模和仿真的进步，将提供跟踪随时间变化的变形和应力的能力，并将其与时空相关性和模式的发展联系起来。

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