Modes of covariability between sea surface temperature and wind stress intraseasonal anomalies along the coast of Peru from satellite observations (2000–2008)

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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...

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Detalles Bibliográficos
Autores: Dewitte, Boris, Illig, Serena, Renault, L., Goubanova, Katerina, Takahashi, Ken, Gushchina, D., Mosquera Vásquez, Kobi Alberto, Purca, S.
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
eu_rights_str_mv openAccess
rights_invalid_str_mv (c) American Geophysical Union
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Perú
dc.publisher.none.fl_str_mv American Geophysical Union (AGU)
publisher.none.fl_str_mv American Geophysical Union (AGU)
dc.source.none.fl_str_mv reponame:IGP-Institucional
instname:Instituto Geofísico del Perú
instacron:IGP
instname_str Instituto Geofísico del Perú
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spelling 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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