Increased variability of eastern Pacific El Niño under greenhouse warming

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The El Niño–Southern Oscillation (ENSO) is the dominant and most consequential climate variation on Earth, and is characterized by warming of equatorial Pacific sea surface temperatures (SSTs) during the El Niño phase and cooling during the La Niña phase. ENSO events tend to have a centre—correspond...

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Detalles Bibliográficos
Autores: Cai, Wenju, Wang, G., Dewitte, Boris, Wu, L., Santoso, A., Takahashi, Ken, Yang, Y., Carréric, A., McPhaden, M.J
Formato: artículo
Fecha de Publicación:2018
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/103
Enlace del recurso:http://repositorio.senamhi.gob.pe/handle/20.500.12542/103
https://doi.org/10.1038/s41586-018-0776-9
Nivel de acceso:acceso cerrado
Materia:Climate models
CMIP
ENSO
Greenhouse gas
Sea surface temperature
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dc.title.en_US.fl_str_mv Increased variability of eastern Pacific El Niño under greenhouse warming
title Increased variability of eastern Pacific El Niño under greenhouse warming
spellingShingle Increased variability of eastern Pacific El Niño under greenhouse warming
Cai, Wenju
Climate models
CMIP
ENSO
Greenhouse gas
Sea surface temperature
title_short Increased variability of eastern Pacific El Niño under greenhouse warming
title_full Increased variability of eastern Pacific El Niño under greenhouse warming
title_fullStr Increased variability of eastern Pacific El Niño under greenhouse warming
title_full_unstemmed Increased variability of eastern Pacific El Niño under greenhouse warming
title_sort Increased variability of eastern Pacific El Niño under greenhouse warming
author Cai, Wenju
author_facet Cai, Wenju
Wang, G.
Dewitte, Boris
Wu, L.
Santoso, A.
Takahashi, Ken
Yang, Y.
Carréric, A.
McPhaden, M.J
author_role author
author2 Wang, G.
Dewitte, Boris
Wu, L.
Santoso, A.
Takahashi, Ken
Yang, Y.
Carréric, A.
McPhaden, M.J
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cai, Wenju
Wang, G.
Dewitte, Boris
Wu, L.
Santoso, A.
Takahashi, Ken
Yang, Y.
Carréric, A.
McPhaden, M.J
dc.subject.en_US.fl_str_mv Climate models
CMIP
ENSO
Greenhouse gas
Sea surface temperature
topic Climate models
CMIP
ENSO
Greenhouse gas
Sea surface temperature
description The El Niño–Southern Oscillation (ENSO) is the dominant and most consequential climate variation on Earth, and is characterized by warming of equatorial Pacific sea surface temperatures (SSTs) during the El Niño phase and cooling during the La Niña phase. ENSO events tend to have a centre—corresponding to the location of the maximum SST anomaly—in either the central equatorial Pacific (5° S–5° N, 160° E–150° W) or the eastern equatorial Pacific (5° S–5° N, 150°–90° W); these two distinct types of ENSO event are referred to as the CP-ENSO and EP-ENSO regimes, respectively. How the ENSO may change under future greenhouse warming is unknown, owing to a lack of inter-model agreement over the response of SSTs in the eastern equatorial Pacific to such warming. Here we find a robust increase in future EP-ENSO SST variability among CMIP5 climate models that simulate the two distinct ENSO regimes. We show that the EP-ENSO SST anomaly pattern and its centre differ greatly from one model to another, and therefore cannot be well represented by a single SST ‘index’ at the observed centre. However, although the locations of the anomaly centres differ in each model, we find a robust increase in SST variability at each anomaly centre across the majority of models considered. This increase in variability is largely due to greenhouse-warming-induced intensification of upper-ocean stratification in the equatorial Pacific, which enhances ocean–atmosphere coupling. An increase in SST variance implies an increase in the number of ‘strong’ EP-El Niño events (corresponding to large SST anomalies) and associated extreme weather events.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2019-07-28T17:11:33Z
dc.date.available.none.fl_str_mv 2019-07-28T17:11:33Z
dc.date.issued.fl_str_mv 2018-12
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1038/s41586-018-0776-9
url http://repositorio.senamhi.gob.pe/handle/20.500.12542/103
https://doi.org/10.1038/s41586-018-0776-9
identifier_str_mv 0000 0001 0746 0446
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:0028-0836
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Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
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dc.publisher.en_US.fl_str_mv Nature Publishing Group
dc.source.es_PE.fl_str_mv Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio Institucional - SENAMHI
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
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dc.source.volume.en_US.fl_str_mv 564
dc.source.issue.en_US.fl_str_mv 7735
dc.source.initialpage.en_US.fl_str_mv 201
dc.source.endpage.en_US.fl_str_mv 206
dc.source.journal.en_US.fl_str_mv Nature
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spelling Cai, WenjuWang, G.Dewitte, BorisWu, L.Santoso, A.Takahashi, KenYang, Y.Carréric, A.McPhaden, M.J2019-07-28T17:11:33Z2019-07-28T17:11:33Z2018-12http://repositorio.senamhi.gob.pe/handle/20.500.12542/1030000 0001 0746 0446https://doi.org/10.1038/s41586-018-0776-9The El Niño–Southern Oscillation (ENSO) is the dominant and most consequential climate variation on Earth, and is characterized by warming of equatorial Pacific sea surface temperatures (SSTs) during the El Niño phase and cooling during the La Niña phase. ENSO events tend to have a centre—corresponding to the location of the maximum SST anomaly—in either the central equatorial Pacific (5° S–5° N, 160° E–150° W) or the eastern equatorial Pacific (5° S–5° N, 150°–90° W); these two distinct types of ENSO event are referred to as the CP-ENSO and EP-ENSO regimes, respectively. How the ENSO may change under future greenhouse warming is unknown, owing to a lack of inter-model agreement over the response of SSTs in the eastern equatorial Pacific to such warming. Here we find a robust increase in future EP-ENSO SST variability among CMIP5 climate models that simulate the two distinct ENSO regimes. We show that the EP-ENSO SST anomaly pattern and its centre differ greatly from one model to another, and therefore cannot be well represented by a single SST ‘index’ at the observed centre. However, although the locations of the anomaly centres differ in each model, we find a robust increase in SST variability at each anomaly centre across the majority of models considered. This increase in variability is largely due to greenhouse-warming-induced intensification of upper-ocean stratification in the equatorial Pacific, which enhances ocean–atmosphere coupling. An increase in SST variance implies an increase in the number of ‘strong’ EP-El Niño events (corresponding to large SST anomalies) and associated extreme weather events.Por paresdc.format: application/htmlengNature Publishing Groupurn:issn:0028-0836info:eu-repo/semantics/closedAccessAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Servicio Nacional de Meteorología e Hidrología del PerúRepositorio Institucional - SENAMHI5647735201206Naturereponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIClimate modelsCMIPENSOGreenhouse gasSea surface temperatureIncreased variability of eastern Pacific El Niño under greenhouse warminginfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/103/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12542/103oai:repositorio.senamhi.gob.pe:20.500.12542/1032022-01-10 16:30:29.55Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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