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Skilful multi-year predictions of tropical trans-basin climate variability
Tropical Pacific sea surface temperature anomalies influence the atmospheric circulation, impacting climate far beyond the tropics. The predictability of the corresponding atmospheric signals is typically limited to less than 1 year lead time. Here we present observational and modelling evidence for...
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Published in: | Nature communications 2015-04, Vol.6 (1), p.6869-6869, Article 6869 |
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creator | Chikamoto, Yoshimitsu Timmermann, Axel Luo, Jing-Jia Mochizuki, Takashi Kimoto, Masahide Watanabe, Masahiro Ishii, Masayoshi Xie, Shang-Ping Jin, Fei-Fei |
description | Tropical Pacific sea surface temperature anomalies influence the atmospheric circulation, impacting climate far beyond the tropics. The predictability of the corresponding atmospheric signals is typically limited to less than 1 year lead time. Here we present observational and modelling evidence for multi-year predictability of coherent trans-basin climate variations that are characterized by a zonal seesaw in tropical sea surface temperature and sea-level pressure between the Pacific and the other two ocean basins. State-of-the-art climate model forecasts initialized from a realistic ocean state show that the low-frequency trans-basin climate variability, which explains part of the El Niño Southern Oscillation flavours, can be predicted up to 3 years ahead, thus exceeding the predictive skill of current tropical climate forecasts for natural variability. This low-frequency variability emerges from the synchronization of ocean anomalies in all basins via global reorganizations of the atmospheric Walker Circulation.
Sea surface temperature anomalies in the tropical Pacific can influence global atmospheric circulation, yet prediction of this atmospheric signal is limited to less than 1 year. Here, the authors present observational and modelling evidence for multi-year predictability. |
doi_str_mv | 10.1038/ncomms7869 |
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Sea surface temperature anomalies in the tropical Pacific can influence global atmospheric circulation, yet prediction of this atmospheric signal is limited to less than 1 year. Here, the authors present observational and modelling evidence for multi-year predictability.</description><identifier>ISSN: 2041-1723</identifier><identifier>EISSN: 2041-1723</identifier><identifier>DOI: 10.1038/ncomms7869</identifier><identifier>PMID: 25897996</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/106/35/823 ; 704/106/694 ; Anomalies ; Atmospheric circulation ; Atmospheric models ; Basins ; Climate models ; Climate prediction ; Climate variability ; El Nino ; Flavors ; Humanities and Social Sciences ; Lead time ; multidisciplinary ; Ocean basins ; Ocean currents ; Predictions ; Science ; Science (multidisciplinary) ; Sea level ; Sea level pressure ; Sea surface temperature ; Southern Oscillation ; Surface temperature ; Synchronism ; Synchronization ; Tropical environments</subject><ispartof>Nature communications, 2015-04, Vol.6 (1), p.6869-6869, Article 6869</ispartof><rights>The Author(s) 2015</rights><rights>Copyright Nature Publishing Group Apr 2015</rights><rights>Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2015 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-f72a430ed6af66119029e0c387cd012ea02ca45c42c4e6a75ae0e3cdad05d1883</citedby><cites>FETCH-LOGICAL-c508t-f72a430ed6af66119029e0c387cd012ea02ca45c42c4e6a75ae0e3cdad05d1883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1674453344/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1674453344?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25897996$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chikamoto, Yoshimitsu</creatorcontrib><creatorcontrib>Timmermann, Axel</creatorcontrib><creatorcontrib>Luo, Jing-Jia</creatorcontrib><creatorcontrib>Mochizuki, Takashi</creatorcontrib><creatorcontrib>Kimoto, Masahide</creatorcontrib><creatorcontrib>Watanabe, Masahiro</creatorcontrib><creatorcontrib>Ishii, Masayoshi</creatorcontrib><creatorcontrib>Xie, Shang-Ping</creatorcontrib><creatorcontrib>Jin, Fei-Fei</creatorcontrib><title>Skilful multi-year predictions of tropical trans-basin climate variability</title><title>Nature communications</title><addtitle>Nat Commun</addtitle><addtitle>Nat Commun</addtitle><description>Tropical Pacific sea surface temperature anomalies influence the atmospheric circulation, impacting climate far beyond the tropics. The predictability of the corresponding atmospheric signals is typically limited to less than 1 year lead time. Here we present observational and modelling evidence for multi-year predictability of coherent trans-basin climate variations that are characterized by a zonal seesaw in tropical sea surface temperature and sea-level pressure between the Pacific and the other two ocean basins. State-of-the-art climate model forecasts initialized from a realistic ocean state show that the low-frequency trans-basin climate variability, which explains part of the El Niño Southern Oscillation flavours, can be predicted up to 3 years ahead, thus exceeding the predictive skill of current tropical climate forecasts for natural variability. This low-frequency variability emerges from the synchronization of ocean anomalies in all basins via global reorganizations of the atmospheric Walker Circulation.
Sea surface temperature anomalies in the tropical Pacific can influence global atmospheric circulation, yet prediction of this atmospheric signal is limited to less than 1 year. 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Sea surface temperature anomalies in the tropical Pacific can influence global atmospheric circulation, yet prediction of this atmospheric signal is limited to less than 1 year. Here, the authors present observational and modelling evidence for multi-year predictability.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25897996</pmid><doi>10.1038/ncomms7869</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 704/106/35/823 704/106/694 Anomalies Atmospheric circulation Atmospheric models Basins Climate models Climate prediction Climate variability El Nino Flavors Humanities and Social Sciences Lead time multidisciplinary Ocean basins Ocean currents Predictions Science Science (multidisciplinary) Sea level Sea level pressure Sea surface temperature Southern Oscillation Surface temperature Synchronism Synchronization Tropical environments |
title | Skilful multi-year predictions of tropical trans-basin climate variability |
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