Seismic Event Coda‐Correlation: Toward Global Coda‐Correlation Tomography
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Seismic event coda‐correlation is a mathematical manifestation of the seismic wavefield, and it is characterized by many prominent features that are formed due to the similarity between multiple pairs of seismic phases. This new paradigm sets a stage for extracting valuable information about Earth structure. However, earthquake coda‐correlation has a fundamentally different physical mechanism from ambient‐noise correlation and thus cannot be utilized in the same way as the ambient‐noise...[Show more]
dc.contributor.author | Wang, Sheng![]() | |
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dc.contributor.author | Tkalčić, Hrvoje![]() | |
dc.date.accessioned | 2020-12-21T03:26:40Z | |
dc.date.available | 2020-12-21T03:26:40Z | |
dc.identifier.issn | 2169-9313 | |
dc.identifier.uri | http://hdl.handle.net/1885/218976 | |
dc.description.abstract | Seismic event coda‐correlation is a mathematical manifestation of the seismic wavefield, and it is characterized by many prominent features that are formed due to the similarity between multiple pairs of seismic phases. This new paradigm sets a stage for extracting valuable information about Earth structure. However, earthquake coda‐correlation has a fundamentally different physical mechanism from ambient‐noise correlation and thus cannot be utilized in the same way as the ambient‐noise correlation tomography that has been rigorously studied both in terms of theory and applications. Therefore, we are motivated to devise a new framework for the coda‐correlation tomography, in which relevant features in coda‐correlation are decomposed and separate constituents are individually related to Earth structure to build sensitivity kernels for tomography. Our theoretical framework is verified via a toy‐problem experiment, and we compare the newly proposed method here with the one based on the assumption that an interreceiver response (Green's function) can be obtained. We illustrate that significant differences can arise in the interpretation of results if the Green's function is used instead of the newly proposed framework based on the understanding of the formation of coda‐correlation. The proposed framework paves the way for further detailed and application‐oriented method improvements and exploitation of the coda‐correlation tomography in global and planetary seismology. | |
dc.description.sponsorship | AuScope Ltd. is funded under the National Collaborative Research Infrastructure Strategy (NCRIS), an Australian Commonwealth Government Programme. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_AU | |
dc.publisher | Wiley Blackwell | |
dc.rights | © 2020 The Authors | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.source | Journal of Geophysical Research: Solid Earth | |
dc.title | Seismic Event Coda‐Correlation: Toward Global Coda‐Correlation Tomography | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 125 | |
dcterms.dateAccepted | 2020-03-09 | |
dc.date.issued | 2020-04-03 | |
local.identifier.absfor | 040407 - Seismology and Seismic Exploration | |
local.identifier.ariespublication | u5771643xPUB9 | |
local.publisher.url | https://agupubs.onlinelibrary.wiley.com/ | |
local.type.status | Published Version | |
local.contributor.affiliation | Wang, Sheng, College of Science, ANU | |
local.contributor.affiliation | Tkalcic, Hrvoje, College of Science, ANU | |
local.bibliographicCitation.issue | 4 | |
local.bibliographicCitation.startpage | 1 | |
local.bibliographicCitation.lastpage | 13 | |
local.identifier.doi | 10.1029/2019JB018848 | |
local.identifier.absseo | 970104 - Expanding Knowledge in the Earth Sciences | |
dc.date.updated | 2020-09-06T08:19:57Z | |
dcterms.accessRights | Open Access | |
dc.provenance | This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. | |
dc.rights.license | Creative Commons Attribution‐NonCommercial License | |
Collections | ANU Research Publications |
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