Weakening of the Atlantic Niño variability under global warming
The Atlantic Niño is one of the most important patterns of interannual tropical climate variability, but how climate change will influence this pattern is not well known due to large climate model biases. Here we show that state-of-the-art climate models robustly predict a weakening of Atlantic Niño...
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description | The Atlantic Niño is one of the most important patterns of interannual tropical climate variability, but how climate change will influence this pattern is not well known due to large climate model biases. Here we show that state-of-the-art climate models robustly predict a weakening of Atlantic Niños in response to global warming, mainly due to a decoupling of subsurface and surface temperature variations as the upper equatorial Atlantic Ocean warms. This weakening is predicted by most (>80%) models in the Coupled Model Intercomparison Project Phases 5 and 6 under the highest emission scenarios. Our results indicate a reduction in variability by the end of the century by 14%, and as much as 24–48% when accounting for model errors using a simple emergent constraint analysis. Such a weakening of Atlantic Niño variability will potentially impact climate conditions and the skill of seasonal predictions in many regions.
The Atlantic Niño is an important mode of tropical climate variability, but how it reacts to climate change is not well known due to model biases. Here the authors show a robust weakening of the Atlantic Niño of up to 24–48% under high emissions until the end of the century. |
doi_str_mv | 10.1038/s41558-022-01453-y |
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The Atlantic Niño is an important mode of tropical climate variability, but how it reacts to climate change is not well known due to model biases. Here the authors show a robust weakening of the Atlantic Niño of up to 24–48% under high emissions until the end of the century.</description><identifier>ISSN: 1758-678X</identifier><identifier>EISSN: 1758-6798</identifier><identifier>DOI: 10.1038/s41558-022-01453-y</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/106/694/2786 ; 704/829/2737 ; Climate Change ; Climate change influences ; Climate Change/Climate Change Impacts ; Climate models ; Climate prediction ; Climate variability ; Climatic conditions ; Climatology ; Constraint modelling ; Decoupling ; Earth and Environmental Science ; Earth Sciences ; Emissions ; Environment ; Environmental Law/Policy/Ecojustice ; Global warming ; Intercomparison ; Modelling ; Ocean models ; Sciences of the Universe ; Surface temperature ; Temperature variations ; Tropical climate ; Tropical climates ; Variability</subject><ispartof>Nature climate change, 2022-09, Vol.12 (9), p.822-827</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution - NonCommercial</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c327t-fea4d1a3fa778e20cac7b9661821bdb7704a121e9f1273f616d2fd84695e82653</citedby><cites>FETCH-LOGICAL-c327t-fea4d1a3fa778e20cac7b9661821bdb7704a121e9f1273f616d2fd84695e82653</cites><orcidid>0000-0003-1273-4303 ; 0000-0002-0831-2696 ; 0000-0002-0181-3332 ; 0000-0002-8708-6868 ; 0000-0002-7765-5190</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41558-022-01453-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41558-022-01453-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://cnrs.hal.science/hal-04740252$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Crespo, Lander R.</creatorcontrib><creatorcontrib>Prigent, Arthur</creatorcontrib><creatorcontrib>Keenlyside, Noel</creatorcontrib><creatorcontrib>Koseki, Shunya</creatorcontrib><creatorcontrib>Svendsen, Lea</creatorcontrib><creatorcontrib>Richter, Ingo</creatorcontrib><creatorcontrib>Sánchez-Gómez, Emilia</creatorcontrib><title>Weakening of the Atlantic Niño variability under global warming</title><title>Nature climate change</title><addtitle>Nat. Clim. Chang</addtitle><description>The Atlantic Niño is one of the most important patterns of interannual tropical climate variability, but how climate change will influence this pattern is not well known due to large climate model biases. Here we show that state-of-the-art climate models robustly predict a weakening of Atlantic Niños in response to global warming, mainly due to a decoupling of subsurface and surface temperature variations as the upper equatorial Atlantic Ocean warms. This weakening is predicted by most (>80%) models in the Coupled Model Intercomparison Project Phases 5 and 6 under the highest emission scenarios. Our results indicate a reduction in variability by the end of the century by 14%, and as much as 24–48% when accounting for model errors using a simple emergent constraint analysis. Such a weakening of Atlantic Niño variability will potentially impact climate conditions and the skill of seasonal predictions in many regions.
The Atlantic Niño is an important mode of tropical climate variability, but how it reacts to climate change is not well known due to model biases. 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Clim. Chang</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>12</volume><issue>9</issue><spage>822</spage><epage>827</epage><pages>822-827</pages><issn>1758-678X</issn><eissn>1758-6798</eissn><abstract>The Atlantic Niño is one of the most important patterns of interannual tropical climate variability, but how climate change will influence this pattern is not well known due to large climate model biases. Here we show that state-of-the-art climate models robustly predict a weakening of Atlantic Niños in response to global warming, mainly due to a decoupling of subsurface and surface temperature variations as the upper equatorial Atlantic Ocean warms. This weakening is predicted by most (>80%) models in the Coupled Model Intercomparison Project Phases 5 and 6 under the highest emission scenarios. Our results indicate a reduction in variability by the end of the century by 14%, and as much as 24–48% when accounting for model errors using a simple emergent constraint analysis. Such a weakening of Atlantic Niño variability will potentially impact climate conditions and the skill of seasonal predictions in many regions.
The Atlantic Niño is an important mode of tropical climate variability, but how it reacts to climate change is not well known due to model biases. Here the authors show a robust weakening of the Atlantic Niño of up to 24–48% under high emissions until the end of the century.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><doi>10.1038/s41558-022-01453-y</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1273-4303</orcidid><orcidid>https://orcid.org/0000-0002-0831-2696</orcidid><orcidid>https://orcid.org/0000-0002-0181-3332</orcidid><orcidid>https://orcid.org/0000-0002-8708-6868</orcidid><orcidid>https://orcid.org/0000-0002-7765-5190</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 704/106/694/2786 704/829/2737 Climate Change Climate change influences Climate Change/Climate Change Impacts Climate models Climate prediction Climate variability Climatic conditions Climatology Constraint modelling Decoupling Earth and Environmental Science Earth Sciences Emissions Environment Environmental Law/Policy/Ecojustice Global warming Intercomparison Modelling Ocean models Sciences of the Universe Surface temperature Temperature variations Tropical climate Tropical climates Variability |
title | Weakening of the Atlantic Niño variability under global warming |
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