Ambient Noise‐Derived SmS Splitting: A New Approach to Constraining Crustal Radial Anisotropy

Abstract Recent studies have shown that crustal body wave phases, such as PmP or SmS, can be effectively retrieved from ambient noise cross‐correlations. However, few studies have used these phases to constrain crustal structures. In this study, we successfully retrieve SmS signals from ambient noise data and observe SmS splitting caused by crustal radial anisotropy. Furthermore, through simulations of synthetic tests and application to field data, we demonstrate that these SmS signals can be used to constrain crustal radial anisotropy structures through joint inversion with surface waves. Our findings suggest that SmS signals obtained from noise data can significantly enhance the understanding of fine crustal radial anisotropic structures.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-11-06
DOI
https://doi.org/10.1029/2024gl111370
Citations
5
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
2.67

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article

Ambient Noise‐Derived SmS Splitting: A New Approach to Constraining Crustal Radial Anisotropy

Yingjie Yang, Yanan Xie, Yinhe Luo, Jinyun Xie et al.
5 citations
Geophysical Research Letters
Seismic Waves and Analysis
2.67
article

Ambient Noise‐Derived SmS Splitting: A New Approach to Constraining Crustal Radial Anisotropy

Yingjie Yang, Yanan Xie, Yinhe Luo, Jinyun Xie, Zhengyang Li
article en
5 citations

Abstract

Abstract Recent studies have shown that crustal body wave phases, such as PmP or SmS, can be effectively retrieved from ambient noise cross‐correlations. However, few studies have used these phases to constrain crustal structures. In this study, we successfully retrieve SmS signals from ambient noise data and observe SmS splitting caused by crustal radial anisotropy. Furthermore, through simulations of synthetic tests and application to field data, we demonstrate that these SmS signals can be used to constrain crustal radial anisotropy structures through joint inversion with surface waves. Our findings suggest that SmS signals obtained from noise data can significantly enhance the understanding of fine crustal radial anisotropic structures.

Geophysical Research LettersVol. 51(21)
Southern University of Science and Technology (CN), China University of Geosciences (CN)
National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, China Scholarship Council, Postdoctoral Research Foundation of China
Openalex Percentile: Top 10%
Seismic Waves and Analysis
2.67
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Ambient Noise‐Derived SmS Splitting: A New Approach to Constraining Crustal Radial Anisotropy — Yingjie Yang, Yanan Xie, et al. · Geophysical Research Letters (2024) | TGRS Research Map | TGRS