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Predicting El Niño in 2014 and 2015
Early in 2014 several forecast systems were suggesting a strong 1997/98-like El Niño event for the following northern hemisphere winter 2014/15. However the eventual outcome was a modest warming. In contrast, winter 2015/16 saw one of the strongest El Niño events on record. Here we assess the abilit...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048137/ https://www.ncbi.nlm.nih.gov/pubmed/30013235 http://dx.doi.org/10.1038/s41598-018-29130-1 |
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author | Ineson, Sarah Balmaseda, Magdalena A. Davey, Michael K. Decremer, Damien Dunstone, Nick J. Gordon, Margaret Ren, Hong-Li Scaife, Adam A. Weisheimer, Antje |
author_facet | Ineson, Sarah Balmaseda, Magdalena A. Davey, Michael K. Decremer, Damien Dunstone, Nick J. Gordon, Margaret Ren, Hong-Li Scaife, Adam A. Weisheimer, Antje |
author_sort | Ineson, Sarah |
collection | PubMed |
description | Early in 2014 several forecast systems were suggesting a strong 1997/98-like El Niño event for the following northern hemisphere winter 2014/15. However the eventual outcome was a modest warming. In contrast, winter 2015/16 saw one of the strongest El Niño events on record. Here we assess the ability of two operational seasonal prediction systems to forecast these events, using the forecast ensembles to try to understand the reasons underlying the very different development and outcomes for these two years. We test three hypotheses. First we find that the continuation of neutral ENSO conditions in 2014 is associated with the maintenance of the observed cold southeast Pacific sea surface temperature anomaly; secondly that, in our forecasts at least, warm west equatorial Pacific sea surface temperature anomalies do not appear to hinder El Niño development; and finally that stronger westerly wind burst activity in 2015 compared to 2014 is a key difference between the two years. Interestingly, in these years at least, this interannual variability in wind burst activity is predictable. ECMWF System 4 tends to produce more westerly wind bursts than Met Office GloSea5 and this likely contributes to the larger SST anomalies predicted in this model in both years. |
format | Online Article Text |
id | pubmed-6048137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60481372018-07-19 Predicting El Niño in 2014 and 2015 Ineson, Sarah Balmaseda, Magdalena A. Davey, Michael K. Decremer, Damien Dunstone, Nick J. Gordon, Margaret Ren, Hong-Li Scaife, Adam A. Weisheimer, Antje Sci Rep Article Early in 2014 several forecast systems were suggesting a strong 1997/98-like El Niño event for the following northern hemisphere winter 2014/15. However the eventual outcome was a modest warming. In contrast, winter 2015/16 saw one of the strongest El Niño events on record. Here we assess the ability of two operational seasonal prediction systems to forecast these events, using the forecast ensembles to try to understand the reasons underlying the very different development and outcomes for these two years. We test three hypotheses. First we find that the continuation of neutral ENSO conditions in 2014 is associated with the maintenance of the observed cold southeast Pacific sea surface temperature anomaly; secondly that, in our forecasts at least, warm west equatorial Pacific sea surface temperature anomalies do not appear to hinder El Niño development; and finally that stronger westerly wind burst activity in 2015 compared to 2014 is a key difference between the two years. Interestingly, in these years at least, this interannual variability in wind burst activity is predictable. ECMWF System 4 tends to produce more westerly wind bursts than Met Office GloSea5 and this likely contributes to the larger SST anomalies predicted in this model in both years. Nature Publishing Group UK 2018-07-16 /pmc/articles/PMC6048137/ /pubmed/30013235 http://dx.doi.org/10.1038/s41598-018-29130-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ineson, Sarah Balmaseda, Magdalena A. Davey, Michael K. Decremer, Damien Dunstone, Nick J. Gordon, Margaret Ren, Hong-Li Scaife, Adam A. Weisheimer, Antje Predicting El Niño in 2014 and 2015 |
title | Predicting El Niño in 2014 and 2015 |
title_full | Predicting El Niño in 2014 and 2015 |
title_fullStr | Predicting El Niño in 2014 and 2015 |
title_full_unstemmed | Predicting El Niño in 2014 and 2015 |
title_short | Predicting El Niño in 2014 and 2015 |
title_sort | predicting el niño in 2014 and 2015 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048137/ https://www.ncbi.nlm.nih.gov/pubmed/30013235 http://dx.doi.org/10.1038/s41598-018-29130-1 |
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