Ray-theoretical modeling of secondary microseism P waves
Secondary microseism sources are pressure fluctuations close to the ocean surface. They generate acoustic P waves that propagate in water down to the ocean bottom where they are partly reflected and partly transmitted into the crust to continue their propagation through the Earth. We present the the...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/139688 |
| Acceso en línea: | http://hdl.handle.net/10261/139688 |
| Access Level: | acceso abierto |
| Palabra clave: | Body waves Seismic noise Wave propagation Seismic interferometry |
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Ray-theoretical modeling of secondary microseism P wavesFarra, V.Stutzmann, E.Gualtieri, L.Schimmel, MartinArdhuin, F.Body wavesSeismic noiseWave propagationSeismic interferometrySecondary microseism sources are pressure fluctuations close to the ocean surface. They generate acoustic P waves that propagate in water down to the ocean bottom where they are partly reflected and partly transmitted into the crust to continue their propagation through the Earth. We present the theory for computing the displacement power spectral density of secondary microseism P waves recorded by receivers in the far field. In the frequency domain, the P-wave displacement can be modeled as the product of (1) the pressure source, (2) the source site effect that accounts for the constructive interference of multiply reflected P waves in the ocean, (3) the propagation from the ocean bottom to the stations and (4) the receiver site effect. Secondary microseism P waves have weak amplitudes, but they can be investigated by beamforming analysis. We validate our approach by analysing the seismic signals generated by typhoon Ioke (2006) and recorded by the Southern California Seismic Network. Backprojecting the beam onto the ocean surface enables to follow the source motion. The observed beam centroid is in the vicinity of the pressure source derived from the ocean wave model WAVEWATCH III. The pressure source is then used for modeling the beam and a good agreement is obtained between measured and modeled beam amplitude variation over time. This modeling approach can be used to invert P-wave noise data and retrieve the source intensity and lateral extent.Thisworkwas supported byAgence Nationale de la Recherche grant ANR-14-CE01-0012 MIMOSA and grant ANR-10-LABX-19-01 ‘LabexMer’. LG acknowledges support from a Lamont–Doherty Earth Observatory Postdoctoral Fellowship and the Brinson Foundation. MS acknowledges MISTERIOS (CGL2013-48601-C2-1-R).Peer ReviewedOxford University PressAgence Nationale de la Recherche (France)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2016201620162016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/139688reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1093/gji/ggw242Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1396882026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Ray-theoretical modeling of secondary microseism P waves |
| title |
Ray-theoretical modeling of secondary microseism P waves |
| spellingShingle |
Ray-theoretical modeling of secondary microseism P waves Farra, V. Body waves Seismic noise Wave propagation Seismic interferometry |
| title_short |
Ray-theoretical modeling of secondary microseism P waves |
| title_full |
Ray-theoretical modeling of secondary microseism P waves |
| title_fullStr |
Ray-theoretical modeling of secondary microseism P waves |
| title_full_unstemmed |
Ray-theoretical modeling of secondary microseism P waves |
| title_sort |
Ray-theoretical modeling of secondary microseism P waves |
| dc.creator.none.fl_str_mv |
Farra, V. Stutzmann, E. Gualtieri, L. Schimmel, Martin Ardhuin, F. |
| author |
Farra, V. |
| author_facet |
Farra, V. Stutzmann, E. Gualtieri, L. Schimmel, Martin Ardhuin, F. |
| author_role |
author |
| author2 |
Stutzmann, E. Gualtieri, L. Schimmel, Martin Ardhuin, F. |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Agence Nationale de la Recherche (France) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Body waves Seismic noise Wave propagation Seismic interferometry |
| topic |
Body waves Seismic noise Wave propagation Seismic interferometry |
| description |
Secondary microseism sources are pressure fluctuations close to the ocean surface. They generate acoustic P waves that propagate in water down to the ocean bottom where they are partly reflected and partly transmitted into the crust to continue their propagation through the Earth. We present the theory for computing the displacement power spectral density of secondary microseism P waves recorded by receivers in the far field. In the frequency domain, the P-wave displacement can be modeled as the product of (1) the pressure source, (2) the source site effect that accounts for the constructive interference of multiply reflected P waves in the ocean, (3) the propagation from the ocean bottom to the stations and (4) the receiver site effect. Secondary microseism P waves have weak amplitudes, but they can be investigated by beamforming analysis. We validate our approach by analysing the seismic signals generated by typhoon Ioke (2006) and recorded by the Southern California Seismic Network. Backprojecting the beam onto the ocean surface enables to follow the source motion. The observed beam centroid is in the vicinity of the pressure source derived from the ocean wave model WAVEWATCH III. The pressure source is then used for modeling the beam and a good agreement is obtained between measured and modeled beam amplitude variation over time. This modeling approach can be used to invert P-wave noise data and retrieve the source intensity and lateral extent. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016 2016 2016 2016 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/139688 |
| url |
http://hdl.handle.net/10261/139688 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1093/gji/ggw242 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Oxford University Press |
| publisher.none.fl_str_mv |
Oxford University Press |
| 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 |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869424352462635008 |
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15,81155 |