Refining Upper Mantle Models Beneath the Western United States

综合计算技术取得了重大进展，USArray将为分析提供前所未有的大量数据。正如本文所展示的那样，最近的几个三维面波层析模型预测了大于20s周期的合成匹配阵列数据。这些由增强体波层析成像增强的模型将用于约束三重数据的建模。将综合生成转换相位，即Ps等，以验证这些3D模型。我们将研究使用1D、2D和3D代码对地震数据进行建模的有效例程，并将我们的技术应用于旧的GSN、LRSM和WWSSN数据以及现代数据（PASSCAL、CISN、Baja Array等）。从这个3D模型生成的光谱元素（SEM）和格林函数2D有限差分将允许更精确的地震信息被确定（历史和未来），并扩展我们的本地自动实时震源估计系统，以覆盖整个美国西部的事件（M3.5）。重大事件的方向性估计可以从现场校正台站和为协助应急服务和实地业务而生成的人工地震图模拟中获得。我们将在数小时内向市民提供宽频绿化的功能，以及显示辐射地震波的电影和互动软件。这些努力将有助于我们自己的学生和其他人检查宽带地震图，清楚地了解什么是震源，什么是结构。

There have been major advances in synthetic computational techniques and USArray will provide unprecedented amounts of data for analysis. As demonstrated in this proposal, several recent 3D surface wave tomographic models predict synthetics matching array data at periods greater than about 20s. These models augmented by enhanced bodywave tomographic images will be used to constrain the modeling of triplication data. Converted phases, i.e., Ps, etc., will be generated synthetically to verify these 3D models. We will investigate efficient routines for the modeling of the seismic data using 1D, 2D, and 3D codes and apply our techniques to older GSN, LRSM, and WWSSN data along with modern data (PASSCAL, CISN, Baja Array, etc.). Spectral-element (SEM) and Green's functions 2D finite-difference generated from this 3D model will allow more precise information about earthquakes to be determined (Historic and Future) and the extension of our local automated real-time source estimation system to cover events throughout the Western United States (M3.5). Directivity estimates for significant events can be obtained from site-corrected stations and artificial Shake-map simulations generated to assist emergency services and field operations. Our broadband Green's functions will be provided to the community (within hours) along with movies showing radiated seismic waves and interactive software. These efforts will assist our own students and others in examining broadband seismograms with a clear view of what is source and what is structure.