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Modeling Travel-Time Correlations Based on Sensitivity Kernels and Correlated Velocity Anomalies

机译:基于灵敏度核和相关速度异常的行程时间相关建模

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This project concerns the errors in predicted regional and teleseismic travel times resulting from velocity heterogeneity in the real Earth not represented in the reference Earth model used for travel-time calculation. We are developing techniques for calculating the covariances between such prediction errors associated with different event-station paths, based on a statistical characterization of the velocity heterogeneity and the theoretical travel-time sensitivity to the Earth's velocity structure for each path. This effort is motivated by previous discoveries that event location errors can be reduced when a locator uses the full covariance matrix for travel- time prediction errors, including off-diagonal elements to account for correlations. Moreover, a physical model for travel-time covariances potentially provides useful constraints in the construction of empirical travel- time correction surfaces. We have developed numerical algorithms that generate a covariance matrix for first-arrival P-wave travel times along paths to various station locations from a fixed event location. Calculations with various station geometries reveal a strong dependence of the travel-time variances and covariances on the spatial sampling of seismic rays. For example, we find that prediction-error variances are smaller for teleseismic P arrivals than for Pn arrivals since teleseismic rays travel a shorter, more vertical path in the upper mantle, whereas most of the Pn path is in the upper mantle where velocity heterogeneity is greatest. Our calculated travel-time variance vs. distance curve agrees well with empirical results for a Eurasian data set when the standard deviation of velocity heterogeneity decreases from 2% to 1% at the 410 km discontinuity. We further find that correlation between travel times can be parameterized by inter-station distance only when both stations observe the same travel-time branch, but distinct breaks in residual correlation occur at the cross-over of bran.

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