Synthetic dataset to benchmark global tomographic methods
Synthetic dataset to benchmark global tomographic methods
复制标题
用于基准全球层析成像方法的综合数据集
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
J. Montagner
中科院分区：
文献类型：
--
作者：
Yilong Qin;Y. Capdeville;V. Maupin;J. Montagner
欧洲地震网SPICE(复杂介质中的地震波传播和成像：欧洲地震网)发布了一组新的全球合成地震图，该地震图是在地球的三维、非均匀、各向异性、滞弹性模型中使用谱元素方法计算的。该合成数据集包括7424条三分量记录，最短周期为32秒，采样率为1秒，持续时间为10,500秒，其目的是对现有的基于长周期数据的全球层析成像方法进行盲法测试，以测试现有成像技术如何受到理论上的近似以及数据质量和覆盖不足的限制。
现代全球层析模型之间的关联在长波长上是正确的，但在短波长上不太相似[Becker和Boschi，2002]。为了解释层析模型的细节，定量地了解特定成像算法的分辨率是基本前提。在不了解真实模型的情况下，很难正确评估层析成像方法。
A new set of global synthetic seismograms calculated in a three-dimensional (3-D), heterogeneous, anisotropic, anelastic model of the Earth using the spectral element method has been released by the European network SPICE (Seismic Wave Propagation and Imaging in Complex Media: a European Network). The set consists of 7424 three-component records with a minimum period of 32 seconds, a sampling rate of one second, and a duration of 10,500 seconds.The aim of this synthetic data set is to conduct a blind test of existing global tomographic methods based on long-period data, in order to test how current imaging techniques are limited by approximations in theory and by the inadequacy of data quality and coverage.
The correlation between modern global tomographic models is generally correct at long wavelengths, but these tomographic models are less similar at shorter wavelengths [Becker and Boschi, 2002].In order to interpret the fine details of tomographic models, it is a fundamental prerequisite to understand quantitatively the resolving properties of specific imaging algorithms. Without knowledge of the true model, it is difficult to properly evaluate the tomographic methods.