标题： 高分辨率的地震层析成像论述 显示英文标题

标题： A high-resolution discourse on seismic tomography

摘要： 数据采集和数值波模拟的进步提升了层析成像技术及其结果，但非专业人士可能难以判断哪种模型最适合他们的需求。 本文面向这些用户撰写。 我们认为，“最佳”这一概念受模型满足我们偏见的程度影响。 我们解释了不同类型地震波如何探测地球结构，阐明了地震层析成像的基本策略，讨论了诸如全波形反演等高级适应方法，并强调了层析成像的艺术成分。 众多合理但主观的选择叠加效应会导致一系列差异大于其个体不确定性分析所暗示的模型。 或许有悖直觉的是，我们认为地震层析成像的目标不应是产生相似的模型。 相反，我们提倡社区蒙特卡洛计划，基于不同的建模方法和主观选择生成一系列不同模型，但这些模型都能解释地震数据。 这项努力可以作为输入，为具有有意义地震不确定性的地球动力学推断提供依据。 显示英文摘要

摘要： Advances in data acquisition and numerical wave simulation have improved tomographic imaging techniques and results, but non-experts may find it difficult to understand which model is best for their needs. This paper is intended for these users. We argue that our notion of best is influenced by the extent to which models satisfy our biases. We explain how the basic types of seismic waves see Earth structure, illustrate the essential strategy of seismic tomography, discuss advanced adaptations such as full-waveform inversion, and emphasize the artistic components of tomography. The compounding effect of a plethora of reasonable, yet subjective choices is a range of models that differ more than their individual uncertainty analyses may suggest. Perhaps counter-intuitively, we argue producing similar tomographic models should not be the goal of seismic tomography. Instead, we promote a Community Monte Carlo effort to assemble a range of dissimilar models based on different modeling approaches and subjective choices, but which explain the seismic data. This effort could serve as input for geodynamic inferences with meaningful seismic uncertainties.