Observing and predicting the 2015/16 El Niño

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The El Niño of 2015/16 was among the strongest El Niño events observed since 1950 and took place almost two decades after the previous major event in 1997/98. Here, perspectives of the event are shared by scientists from three national meteorological or climate services that issue regular operationa...

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Detalles Bibliográficos
Autores: L’Heureux, Michelle L., Takahashi, Ken, Watkins, Andrew B., Barnston, Anthony G., Becker, Emily J., Di Liberto, Tom E., Gamble, Felicity, Gottschalck, Jon, Halpert, Michael S., Huang, Boyin, Mosquera Vásquez, Kobi Alberto, Wittenberg, Andrew T.
Formato: artículo
Fecha de Publicación:2017
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/2230
Enlace del recurso:http://hdl.handle.net/20.500.12816/2230
https://doi.org/10.1175/BAMS-D-16-0009.1
Nivel de acceso:acceso abierto
Materia:El Niño
ENSO
Climate change
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
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dc.title.none.fl_str_mv Observing and predicting the 2015/16 El Niño
title Observing and predicting the 2015/16 El Niño
spellingShingle Observing and predicting the 2015/16 El Niño
L’Heureux, Michelle L.
El Niño
ENSO
Climate change
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
title_short Observing and predicting the 2015/16 El Niño
title_full Observing and predicting the 2015/16 El Niño
title_fullStr Observing and predicting the 2015/16 El Niño
title_full_unstemmed Observing and predicting the 2015/16 El Niño
title_sort Observing and predicting the 2015/16 El Niño
author L’Heureux, Michelle L.
author_facet L’Heureux, Michelle L.
Takahashi, Ken
Watkins, Andrew B.
Barnston, Anthony G.
Becker, Emily J.
Di Liberto, Tom E.
Gamble, Felicity
Gottschalck, Jon
Halpert, Michael S.
Huang, Boyin
Mosquera Vásquez, Kobi Alberto
Wittenberg, Andrew T.
author_role author
author2 Takahashi, Ken
Watkins, Andrew B.
Barnston, Anthony G.
Becker, Emily J.
Di Liberto, Tom E.
Gamble, Felicity
Gottschalck, Jon
Halpert, Michael S.
Huang, Boyin
Mosquera Vásquez, Kobi Alberto
Wittenberg, Andrew T.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv L’Heureux, Michelle L.
Takahashi, Ken
Watkins, Andrew B.
Barnston, Anthony G.
Becker, Emily J.
Di Liberto, Tom E.
Gamble, Felicity
Gottschalck, Jon
Halpert, Michael S.
Huang, Boyin
Mosquera Vásquez, Kobi Alberto
Wittenberg, Andrew T.
dc.subject.none.fl_str_mv El Niño
ENSO
Climate change
topic El Niño
ENSO
Climate change
http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.09
http://purl.org/pe-repo/ocde/ford#1.05.10
description The El Niño of 2015/16 was among the strongest El Niño events observed since 1950 and took place almost two decades after the previous major event in 1997/98. Here, perspectives of the event are shared by scientists from three national meteorological or climate services that issue regular operational updates on the status and prediction of El Niño–Southern Oscillation (ENSO). Public advisories on the unfolding El Niño were issued in the first half of 2015. This was followed by significant growth in sea surface temperature (SST) anomalies, a peak during November 2015–January 2016, subsequent decay, and its demise during May 2016. The life cycle and magnitude of the 2015/16 El Niño was well predicted by most models used by national meteorological services, in contrast to the generally overexuberant model predictions made the previous year. The evolution of multiple atmospheric and oceanic measures demonstrates the rich complexity of ENSO, as a coupled ocean–atmosphere phenomenon with pronounced global impacts. While some aspects of the 2015/16 El Niño rivaled the events of 1982/83 and 1997/98, we show that it also differed in unique and important ways, with implications for the study and evaluation of past and future ENSO events. Unlike previous major El Niños, remarkably above-average SST anomalies occurred in the western and central equatorial Pacific but were milder near the coast of South America. While operational ENSO systems have progressed markedly over the past several decades, the 2015/16 El Niño highlights several challenges that will continue to test both the research and operational forecast communities.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2018-08-03T15:55:43Z
dc.date.available.none.fl_str_mv 2018-08-03T15:55:43Z
dc.date.issued.fl_str_mv 2017-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.none.fl_str_mv L’Heureux, M. L., Takahashi, K., Watkins, A. B., Barnston, A. G., Becker, E. J., Di Liberto, T. E., ... Wittenberg, A. T. (2017). Observing and predicting the 2015/16 El Niño.==$Bulletin of the American Meteorological Society, 98$==(7),1363-1382. https://doi.org/10.1175/BAMS-D-16-0009.1
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/2230
dc.identifier.journal.none.fl_str_mv Bulletin of the American Meteorological Society
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1175/BAMS-D-16-0009.1
identifier_str_mv L’Heureux, M. L., Takahashi, K., Watkins, A. B., Barnston, A. G., Becker, E. J., Di Liberto, T. E., ... Wittenberg, A. T. (2017). Observing and predicting the 2015/16 El Niño.==$Bulletin of the American Meteorological Society, 98$==(7),1363-1382. https://doi.org/10.1175/BAMS-D-16-0009.1
index-oti2018
Bulletin of the American Meteorological Society
url http://hdl.handle.net/20.500.12816/2230
https://doi.org/10.1175/BAMS-D-16-0009.1
dc.language.iso.none.fl_str_mv eng
language eng
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dc.coverage.spatial.none.fl_str_mv Perú
dc.publisher.none.fl_str_mv American Meteorological Society
publisher.none.fl_str_mv American Meteorological Society
dc.source.none.fl_str_mv reponame:IGP-Institucional
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spelling L’Heureux, Michelle L.Takahashi, KenWatkins, Andrew B.Barnston, Anthony G.Becker, Emily J.Di Liberto, Tom E.Gamble, FelicityGottschalck, JonHalpert, Michael S.Huang, BoyinMosquera Vásquez, Kobi AlbertoWittenberg, Andrew T.Perú2018-08-03T15:55:43Z2018-08-03T15:55:43Z2017-07L’Heureux, M. L., Takahashi, K., Watkins, A. B., Barnston, A. G., Becker, E. J., Di Liberto, T. E., ... Wittenberg, A. T. (2017). Observing and predicting the 2015/16 El Niño.==$Bulletin of the American Meteorological Society, 98$==(7),1363-1382. https://doi.org/10.1175/BAMS-D-16-0009.1index-oti2018http://hdl.handle.net/20.500.12816/2230Bulletin of the American Meteorological Societyhttps://doi.org/10.1175/BAMS-D-16-0009.1The El Niño of 2015/16 was among the strongest El Niño events observed since 1950 and took place almost two decades after the previous major event in 1997/98. Here, perspectives of the event are shared by scientists from three national meteorological or climate services that issue regular operational updates on the status and prediction of El Niño–Southern Oscillation (ENSO). Public advisories on the unfolding El Niño were issued in the first half of 2015. This was followed by significant growth in sea surface temperature (SST) anomalies, a peak during November 2015–January 2016, subsequent decay, and its demise during May 2016. The life cycle and magnitude of the 2015/16 El Niño was well predicted by most models used by national meteorological services, in contrast to the generally overexuberant model predictions made the previous year. The evolution of multiple atmospheric and oceanic measures demonstrates the rich complexity of ENSO, as a coupled ocean–atmosphere phenomenon with pronounced global impacts. While some aspects of the 2015/16 El Niño rivaled the events of 1982/83 and 1997/98, we show that it also differed in unique and important ways, with implications for the study and evaluation of past and future ENSO events. Unlike previous major El Niños, remarkably above-average SST anomalies occurred in the western and central equatorial Pacific but were milder near the coast of South America. While operational ENSO systems have progressed markedly over the past several decades, the 2015/16 El Niño highlights several challenges that will continue to test both the research and operational forecast communities.Por paresapplication/pdfengAmerican Meteorological Societyurn:issn:0003-0007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/El NiñoENSOClimate changehttp://purl.org/pe-repo/ocde/ford#1.05.09http://purl.org/pe-repo/ocde/ford#1.05.10Observing and predicting the 2015/16 El Niñoinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/c42f82fa-8dcb-4937-94e0-b0bd76b3261d/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILLHeureux-2017.pdf.jpgLHeureux-2017.pdf.jpgIM Thumbnailimage/jpeg82656https://repositorio.igp.gob.pe/bitstreams/7fabd979-047a-4770-9f27-03854ffed176/downloadc13186ae442c45a4253208f8b428efccMD57TEXTindex-oti2018.pdf.txtindex-oti2018.pdf.txtExtracted texttext/plain51181https://repositorio.igp.gob.pe/bitstreams/33961f1c-5bb2-49be-9d8f-daf098944780/downloadeaefd42dcb6f311c7132e75f0ac80027MD54LHeureux-2017.pdf.txtLHeureux-2017.pdf.txtExtracted texttext/plain76680https://repositorio.igp.gob.pe/bitstreams/b22dcd21-9217-4402-9575-921f3e8c9e69/downloada5c7e991ba8742c0f615ebd2ea7a5692MD56ORIGINALLHeureux-2017.pdfLHeureux-2017.pdfapplication/pdf12078720https://repositorio.igp.gob.pe/bitstreams/008bdc44-50a5-4af9-aa29-cccd66aa9255/downloada2ce34c7f07487e6383a3f1d8ef96d4eMD5520.500.12816/2230oai:repositorio.igp.gob.pe:20.500.12816/22302024-10-01 16:35:50.494https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.peTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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