Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes

Seismic interferometry by ambient noise autocorrelations is a special case of Green's function retrieval for single-station analysis. Although high-frequency noise autocorrelations are now used to extract the reflectivity beneath seismic stations, low-frequency autocorrelations are hardly appli...

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Autores: Schimmel, Martin, Stutzmann, E., Ventosa, Sergio
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/169526
Acceso en línea:http://hdl.handle.net/10261/169526
Access Level:acceso abierto
Palabra clave:Free oscillations
seismic noise
Greens-function
Hum
Phase
Field
Interferometry
Excitation
Scale
Earth
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spelling Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal ModesSchimmel, MartinStutzmann, E.Ventosa, SergioFree oscillationsseismic noiseGreens-functionHumPhaseFieldInterferometryExcitationScaleEarthSeismic interferometry by ambient noise autocorrelations is a special case of Green's function retrieval for single-station analysis. Although high-frequency noise autocorrelations are now used to extract the reflectivity beneath seismic stations, low-frequency autocorrelations are hardly applied. Here, we present the observation of the Earth orbiting surface waves from low-frequency noise autocorrelations which are used to extract normal-mode frequencies for the Hum. The performances of the classical and phase autocorrelations are analyzed using seismic data from GEOSCOPE station TAM in Algeria. Both approaches are independent and perform differently for data with large amplitude variability. We show that the phase autocorrelation can robustly extract Rayleigh waves and normal modes because it is not biased by large amplitude signals (e.g., earthquakes). This is convenient because no data preprocessing (data selection or amplitude clipping) is required as usually employed for the classical approaches. This implies that the phase correlation takes advantage of the full data set and waveform information to achieve a high signal extraction convergence. Single-station phase autocorrelations may become an important tool in planetary seismology where data are limited due to the expensive and difficult data acquisition and can consist of high-amplitude variability due to unknown conditions. The upcoming INSIGHT (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) Mars mission plans the deployment of one broadband seismometer and the successful measurement of normal-mode frequencies and surface-wave dispersion curves will constrain its reference structure. Although we present low-frequency autocorrelations, our findings remain valid for cross correlations, other applications, and other frequency bands.This work was supported by the projects CGL2013-48601-C2-1-R and ANR-14-CE01-0012.Peer reviewedSeismological Society of AmericaMinisterio de Economía y Competitividad (España)Schimmel, Martin [0000-0003-2601-4462]Ventosa, Sergio [0000-0002-2880-8453]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201820182018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/169526reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1785/0220180027Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1695262026-05-22T06:33:51Z
dc.title.none.fl_str_mv Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
title Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
spellingShingle Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
Schimmel, Martin
Free oscillations
seismic noise
Greens-function
Hum
Phase
Field
Interferometry
Excitation
Scale
Earth
title_short Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
title_full Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
title_fullStr Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
title_full_unstemmed Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
title_sort Low-Frequency Ambient Noise Autocorrelations: Waveforms and Normal Modes
dc.creator.none.fl_str_mv Schimmel, Martin
Stutzmann, E.
Ventosa, Sergio
author Schimmel, Martin
author_facet Schimmel, Martin
Stutzmann, E.
Ventosa, Sergio
author_role author
author2 Stutzmann, E.
Ventosa, Sergio
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Schimmel, Martin [0000-0003-2601-4462]
Ventosa, Sergio [0000-0002-2880-8453]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Free oscillations
seismic noise
Greens-function
Hum
Phase
Field
Interferometry
Excitation
Scale
Earth
topic Free oscillations
seismic noise
Greens-function
Hum
Phase
Field
Interferometry
Excitation
Scale
Earth
description Seismic interferometry by ambient noise autocorrelations is a special case of Green's function retrieval for single-station analysis. Although high-frequency noise autocorrelations are now used to extract the reflectivity beneath seismic stations, low-frequency autocorrelations are hardly applied. Here, we present the observation of the Earth orbiting surface waves from low-frequency noise autocorrelations which are used to extract normal-mode frequencies for the Hum. The performances of the classical and phase autocorrelations are analyzed using seismic data from GEOSCOPE station TAM in Algeria. Both approaches are independent and perform differently for data with large amplitude variability. We show that the phase autocorrelation can robustly extract Rayleigh waves and normal modes because it is not biased by large amplitude signals (e.g., earthquakes). This is convenient because no data preprocessing (data selection or amplitude clipping) is required as usually employed for the classical approaches. This implies that the phase correlation takes advantage of the full data set and waveform information to achieve a high signal extraction convergence. Single-station phase autocorrelations may become an important tool in planetary seismology where data are limited due to the expensive and difficult data acquisition and can consist of high-amplitude variability due to unknown conditions. The upcoming INSIGHT (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) Mars mission plans the deployment of one broadband seismometer and the successful measurement of normal-mode frequencies and surface-wave dispersion curves will constrain its reference structure. Although we present low-frequency autocorrelations, our findings remain valid for cross correlations, other applications, and other frequency bands.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/169526
url http://hdl.handle.net/10261/169526
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1785/0220180027
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Seismological Society of America
publisher.none.fl_str_mv Seismological Society of America
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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