Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008)
Descripción del Articulo
The Tropical Rainfall Measuring Mission Microwave Imager sea surface temperature (SST) and QuikSCAT wind stress satellite data are used to investigate the intraseasonal upwelling variability along the coat of Peru over the period 2000–2008. Two regions of peak variance correspond to the central Peru...
| Autores: | , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2011 |
| Institución: | Instituto Geofísico del Perú |
| Repositorio: | IGP-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.igp.gob.pe:20.500.12816/3043 |
| Enlace del recurso: | http://hdl.handle.net/20.500.12816/3043 https://doi.org/10.1029/2010JC006495 |
| Nivel de acceso: | acceso abierto |
| Materia: | Upwelling Teleconnections MJO Satellite data SST Ekman pumping http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 |
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| dc.title.none.fl_str_mv |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| title |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| spellingShingle |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) Dewitte, Boris Upwelling Teleconnections MJO Satellite data SST Ekman pumping http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 |
| title_short |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| title_full |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| title_fullStr |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| title_full_unstemmed |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| title_sort |
Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008) |
| author |
Dewitte, Boris |
| author_facet |
Dewitte, Boris Illig, Serena Renault, L. Goubanova, Katerina Takahashi, Ken Gushchina, D. Mosquera Vásquez, Kobi Alberto Purca, S. |
| author_role |
author |
| author2 |
Illig, Serena Renault, L. Goubanova, Katerina Takahashi, Ken Gushchina, D. Mosquera Vásquez, Kobi Alberto Purca, S. |
| author2_role |
author author author author author author author |
| dc.contributor.author.fl_str_mv |
Dewitte, Boris Illig, Serena Renault, L. Goubanova, Katerina Takahashi, Ken Gushchina, D. Mosquera Vásquez, Kobi Alberto Purca, S. |
| dc.subject.none.fl_str_mv |
Upwelling Teleconnections MJO Satellite data SST Ekman pumping |
| topic |
Upwelling Teleconnections MJO Satellite data SST Ekman pumping http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 |
| dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 |
| description |
The Tropical Rainfall Measuring Mission Microwave Imager sea surface temperature (SST) and QuikSCAT wind stress satellite data are used to investigate the intraseasonal upwelling variability along the coat of Peru over the period 2000–2008. Two regions of peak variance correspond to the central Peru region (Pisco region, 15°S) and the northern Peru region (Piura region, 5°S). A covariance analysis reveals a significant coherency between winds and SST anomalies off Pisco, consistent with Ekman pumping and transport dynamics. The upwelling cell consists in a meridionally extended fringe of colder (warmer) water extending as far as 250 km from the coast at 15°S. In the Piura region, the intraseasonal covariability pattern is represented by two modes, one relevant to the direct Ekman dynamics and the other one associated with the remote forcing of intraseasonal oceanic Kelvin wave. Two regimes of variability are evidenced. A low‐period regime (10–25 days) is the signature of Ekman transport/pumping dynamics and is remotely forced by the migratory atmospheric disturbances across the southeastern Pacific anticyclone. A high‐period regime (35–60 day band) is associated with the combined forcing of oceanic equatorial Kelvin waves and migratory atmospheric disturbances in the midlatitudes. In particular, the modes of covariability exhibit a prominent ∼50 day period energy peak. It is shown that this period arises from the impact of the first two baroclinic modes Kelvin wave, with the second baroclinic mode Kelvin wave being more influential on the Piura region. |
| publishDate |
2011 |
| dc.date.accessioned.none.fl_str_mv |
2018-09-21T16:43:54Z |
| dc.date.available.none.fl_str_mv |
2018-09-21T16:43:54Z |
| dc.date.issued.fl_str_mv |
2011-04 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.citation.none.fl_str_mv |
Dewitte, B., Illig, S., Renault, L., Goubanova, K., Takahashi, K., Gushchina, D., ... Purca, S. (2011). Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008).==$Journal of Geophysical Research: Oceans, 116$== (C4), C04028. https://doi.org/10.1029/2010JC006495 |
| dc.identifier.govdoc.none.fl_str_mv |
index-oti2018 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12816/3043 |
| dc.identifier.journal.none.fl_str_mv |
Journal of Geophysical Research: Oceans |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1029/2010JC006495 |
| identifier_str_mv |
Dewitte, B., Illig, S., Renault, L., Goubanova, K., Takahashi, K., Gushchina, D., ... Purca, S. (2011). Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008).==$Journal of Geophysical Research: Oceans, 116$== (C4), C04028. https://doi.org/10.1029/2010JC006495 index-oti2018 Journal of Geophysical Research: Oceans |
| url |
http://hdl.handle.net/20.500.12816/3043 https://doi.org/10.1029/2010JC006495 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
urn:issn:2169-9313 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.uri.none.fl_str_mv |
(c) American Geophysical Union |
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openAccess |
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(c) American Geophysical Union |
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application/pdf |
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Perú |
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American Geophysical Union (AGU) |
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American Geophysical Union (AGU) |
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Instituto Geofísico del Perú |
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IGP |
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IGP-Institucional |
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Dewitte, BorisIllig, SerenaRenault, L.Goubanova, KaterinaTakahashi, KenGushchina, D.Mosquera Vásquez, Kobi AlbertoPurca, S.Perú2018-09-21T16:43:54Z2018-09-21T16:43:54Z2011-04Dewitte, B., Illig, S., Renault, L., Goubanova, K., Takahashi, K., Gushchina, D., ... Purca, S. (2011). Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008).==$Journal of Geophysical Research: Oceans, 116$== (C4), C04028. https://doi.org/10.1029/2010JC006495index-oti2018http://hdl.handle.net/20.500.12816/3043Journal of Geophysical Research: Oceanshttps://doi.org/10.1029/2010JC006495The Tropical Rainfall Measuring Mission Microwave Imager sea surface temperature (SST) and QuikSCAT wind stress satellite data are used to investigate the intraseasonal upwelling variability along the coat of Peru over the period 2000–2008. Two regions of peak variance correspond to the central Peru region (Pisco region, 15°S) and the northern Peru region (Piura region, 5°S). A covariance analysis reveals a significant coherency between winds and SST anomalies off Pisco, consistent with Ekman pumping and transport dynamics. The upwelling cell consists in a meridionally extended fringe of colder (warmer) water extending as far as 250 km from the coast at 15°S. In the Piura region, the intraseasonal covariability pattern is represented by two modes, one relevant to the direct Ekman dynamics and the other one associated with the remote forcing of intraseasonal oceanic Kelvin wave. Two regimes of variability are evidenced. A low‐period regime (10–25 days) is the signature of Ekman transport/pumping dynamics and is remotely forced by the migratory atmospheric disturbances across the southeastern Pacific anticyclone. A high‐period regime (35–60 day band) is associated with the combined forcing of oceanic equatorial Kelvin waves and migratory atmospheric disturbances in the midlatitudes. In particular, the modes of covariability exhibit a prominent ∼50 day period energy peak. It is shown that this period arises from the impact of the first two baroclinic modes Kelvin wave, with the second baroclinic mode Kelvin wave being more influential on the Piura region.Por paresapplication/pdfengAmerican Geophysical Union (AGU)urn:issn:2169-9313info:eu-repo/semantics/openAccess(c) American Geophysical UnionUpwellingTeleconnectionsMJOSatellite dataSSTEkman pumpinghttp://purl.org/pe-repo/ocde/ford#1.05.00http://purl.org/pe-repo/ocde/ford#1.05.09Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008)info:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALdewitte2011.pdfdewitte2011.pdfapplication/pdf2645047https://repositorio.igp.gob.pe/bitstreams/b03d459d-47fd-411a-ab18-43148d698ed6/downloadc8fb15c1311298a60c8846519b664583MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/4de1345c-9ac0-4177-8d7a-6683ba3eaa70/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILdewitte2011.pdf.jpgdewitte2011.pdf.jpgIM Thumbnailimage/jpeg100065https://repositorio.igp.gob.pe/bitstreams/bccd8b58-b447-4ae2-8f91-eb04f4a64deb/downloade018bd329d2ac596b71b18d5b63ade62MD53TEXTdewitte2011.pdf.txtdewitte2011.pdf.txtExtracted texttext/plain75210https://repositorio.igp.gob.pe/bitstreams/890dce19-6cb3-4d33-81e1-504c51b38ad4/downloada3aa3d0bd1dca13ce3644098b9786231MD5420.500.12816/3043oai:repositorio.igp.gob.pe:20.500.12816/30432024-10-01 16:35:41.889(c) American Geophysical Unioninfo:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).