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A successful real-time forecast of the 2010–11 La Niña event
During 2010–11, a La Niña condition prevailed in the tropical Pacific. An intermediate coupled model (ICM) is used to demonstrate a real-time forecast of sea surface temperature (SST) evolution during the event. One of the ICM's unique features is an empirical parameterization of the temperatur...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552287/ http://dx.doi.org/10.1038/srep01108 |
_version_ | 1782256660639645696 |
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author | Zhang, Rong-Hua Zheng, Fei Zhu, Jiang Wang, Zhanggui |
author_facet | Zhang, Rong-Hua Zheng, Fei Zhu, Jiang Wang, Zhanggui |
author_sort | Zhang, Rong-Hua |
collection | PubMed |
description | During 2010–11, a La Niña condition prevailed in the tropical Pacific. An intermediate coupled model (ICM) is used to demonstrate a real-time forecast of sea surface temperature (SST) evolution during the event. One of the ICM's unique features is an empirical parameterization of the temperature of subsurface water entrained into the mixed layer (T(e)). This model provided a good prediction, particularly of the "double dip" evolution of SST in 2011 that followed the La Niña event peak in October 2010. Thermocline feedback, explicitly represented by the relationship between T(e) and sea level in the ICM, is a crucial factor affecting the second cooling in 2011. Large negative T(e) anomalies were observed to persist in the central equatorial domain during 2010–11, inducing a cold SST anomaly to the east during July–August 2011 and leading to the development of a La Niña condition thereafter. |
format | Online Article Text |
id | pubmed-3552287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35522872013-01-23 A successful real-time forecast of the 2010–11 La Niña event Zhang, Rong-Hua Zheng, Fei Zhu, Jiang Wang, Zhanggui Sci Rep Article During 2010–11, a La Niña condition prevailed in the tropical Pacific. An intermediate coupled model (ICM) is used to demonstrate a real-time forecast of sea surface temperature (SST) evolution during the event. One of the ICM's unique features is an empirical parameterization of the temperature of subsurface water entrained into the mixed layer (T(e)). This model provided a good prediction, particularly of the "double dip" evolution of SST in 2011 that followed the La Niña event peak in October 2010. Thermocline feedback, explicitly represented by the relationship between T(e) and sea level in the ICM, is a crucial factor affecting the second cooling in 2011. Large negative T(e) anomalies were observed to persist in the central equatorial domain during 2010–11, inducing a cold SST anomaly to the east during July–August 2011 and leading to the development of a La Niña condition thereafter. Nature Publishing Group 2013-01-23 /pmc/articles/PMC3552287/ http://dx.doi.org/10.1038/srep01108 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Zhang, Rong-Hua Zheng, Fei Zhu, Jiang Wang, Zhanggui A successful real-time forecast of the 2010–11 La Niña event |
title | A successful real-time forecast of the 2010–11 La Niña event |
title_full | A successful real-time forecast of the 2010–11 La Niña event |
title_fullStr | A successful real-time forecast of the 2010–11 La Niña event |
title_full_unstemmed | A successful real-time forecast of the 2010–11 La Niña event |
title_short | A successful real-time forecast of the 2010–11 La Niña event |
title_sort | successful real-time forecast of the 2010–11 la niña event |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552287/ http://dx.doi.org/10.1038/srep01108 |
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