FDFK2D: Efficient Two-Dimensional Teleseismic Wavefield Modeling for Receiver Function Analysis Using a Hybrid Method

Abstract We develop a Fortran package with high programming optimization and parallel computing for simulating high-frequency (>1 Hz) teleseismic wavefields using a hybrid numerical method that couples the finite-difference (FD) and frequency–wavenumber (FK) methods. This method can simulate the interactions of incoming teleseismic wavefields with local heterogeneities but reduce computational region to a much smaller localized domain, which can significantly reduce the computing cost of the high-frequency teleseismic wavefields. The local heterogeneities are allowed to vary arbitrarily in a localized heterogeneous domain. In this package, the geographical locations of earthquakes are permitted, which can consider the real azimuthal effect of the source. Numerical benchmark tests first demonstrate the effectiveness of the developed method for P- and S-wave receiver functions (RFs). The consistent travel times of synthetic and theoretical RFs phases demonstrate its high accuracy. Application on a dense array generally obtains consistent RFs profiles with observed ones and successfully reproduces the observed common-converted-point (CCP) stacking image, which further verifies the effectiveness of the presented method. In addition, statistics of the time-consuming of typical models illustrate the high efficiency of this package, which needs very little computing resources even to be feasible on a laptop.

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Publication Details

Journal
Seismological Research Letters
Published
2024-12-18
DOI
https://doi.org/10.1785/0220240231
Citations
2
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
1.07
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article

FDFK2D: Efficient Two-Dimensional Teleseismic Wavefield Modeling for Receiver Function Analysis Using a Hybrid Method

Youshan Liu, Liang Zhao, Tao Xu, Jiwen Teng et al.
2 citations
Seismological Research Letters
earthquake and tectonic studies
1.07
article

FDFK2D: Efficient Two-Dimensional Teleseismic Wavefield Modeling for Receiver Function Analysis Using a Hybrid Method

Youshan Liu, Liang Zhao, Tao Xu, Jiwen Teng, Chenglong Wu
article en
2 citations

Abstract

Abstract We develop a Fortran package with high programming optimization and parallel computing for simulating high-frequency (>1 Hz) teleseismic wavefields using a hybrid numerical method that couples the finite-difference (FD) and frequency–wavenumber (FK) methods. This method can simulate the interactions of incoming teleseismic wavefields with local heterogeneities but reduce computational region to a much smaller localized domain, which can significantly reduce the computing cost of the high-frequency teleseismic wavefields. The local heterogeneities are allowed to vary arbitrarily in a localized heterogeneous domain. In this package, the geographical locations of earthquakes are permitted, which can consider the real azimuthal effect of the source. Numerical benchmark tests first demonstrate the effectiveness of the developed method for P- and S-wave receiver functions (RFs). The consistent travel times of synthetic and theoretical RFs phases demonstrate its high accuracy. Application on a dense array generally obtains consistent RFs profiles with observed ones and successfully reproduces the observed common-converted-point (CCP) stacking image, which further verifies the effectiveness of the presented method. In addition, statistics of the time-consuming of typical models illustrate the high efficiency of this package, which needs very little computing resources even to be feasible on a laptop.

Seismological Research LettersVol. 96(2A)
Chinese Academy of Sciences (CN), Institute of Geology and Geophysics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 23%
earthquake and tectonic studies
1.07
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FDFK2D: Efficient Two-Dimensional Teleseismic Wavefield Modeling for Receiver Function Analysis Using a Hybrid Method — Youshan Liu, Liang Zhao, et al. · Seismological Research Letters (2024) | TGRS Research Map | TGRS