1. Ambient Noise‐Derived SmS Splitting: A New Approach to Constraining Crustal Radial Anisotropy.
- Author
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Xie, Jinyun, Yang, Yingjie, Luo, Yinhe, Xie, Yanan, and Li, Zhengyang
- Subjects
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GREEN'S functions , *SEISMOLOGISTS , *ANISOTROPY , *SEISMIC anisotropy , *NOISE , *SIGNALS & signaling - 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. Plain Language Summary: By cross‐correlating ambient noise data, seismologists can extract the empirical Green's function between a pair of stations. Theoretically, both body and surface waves can be retrieved from these cross‐correlations. However, in practice, retrieving body wave signals from field data remains challenging. In this study, we successfully observe SmS signals, and their splitting caused by crustal radial anisotropy. By combining these SmS phases with surface wave dispersions, we can constrain the fine radial anisotropic structure of the crust. Using these body‐wave signals will enhance our understanding of the structure of the lower crust. Key Points: SmS phases extracted from ambient noise show splitting due to radial anisotropy of the crustSmS signals can be used to constrain the radial anisotropy of the lower crustJoint inversion of SmS signals and surface waves provides an advantage in constructing the radial anisotropy of the crust [ABSTRACT FROM AUTHOR]
- Published
- 2024
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