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Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures
This study analyzes the influence of sea surface temperatures (SSTs) on the second mode of atmospheric variability in the north Atlantic/European sector, namely the East-Atlantic (EA) pattern, for the period 1950–2012. For this purpose, lead-lag relationships between SSTs and the EA pattern, ranging...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899265/ https://www.ncbi.nlm.nih.gov/pubmed/24466098 http://dx.doi.org/10.1371/journal.pone.0086439 |
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author | Iglesias, Isabel Lorenzo, María N. Taboada, Juan J. |
author_facet | Iglesias, Isabel Lorenzo, María N. Taboada, Juan J. |
author_sort | Iglesias, Isabel |
collection | PubMed |
description | This study analyzes the influence of sea surface temperatures (SSTs) on the second mode of atmospheric variability in the north Atlantic/European sector, namely the East-Atlantic (EA) pattern, for the period 1950–2012. For this purpose, lead-lag relationships between SSTs and the EA pattern, ranging from 0 to 3 seasons, were assessed. As a main result, anomalies of the EA pattern in boreal summer and autumn are significantly related to SST anomalies in the Indo-Pacific Ocean during the preceding seasons. A statistical forecasting scheme based on multiple linear regression was used to hindcast the EA-anomalies with a lead-time of 1 to 2 months. The results of a one-year-out cross-validation approach indicate that the phases of the EA in summer and autumn can be properly hindcast. |
format | Online Article Text |
id | pubmed-3899265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38992652014-01-24 Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures Iglesias, Isabel Lorenzo, María N. Taboada, Juan J. PLoS One Research Article This study analyzes the influence of sea surface temperatures (SSTs) on the second mode of atmospheric variability in the north Atlantic/European sector, namely the East-Atlantic (EA) pattern, for the period 1950–2012. For this purpose, lead-lag relationships between SSTs and the EA pattern, ranging from 0 to 3 seasons, were assessed. As a main result, anomalies of the EA pattern in boreal summer and autumn are significantly related to SST anomalies in the Indo-Pacific Ocean during the preceding seasons. A statistical forecasting scheme based on multiple linear regression was used to hindcast the EA-anomalies with a lead-time of 1 to 2 months. The results of a one-year-out cross-validation approach indicate that the phases of the EA in summer and autumn can be properly hindcast. Public Library of Science 2014-01-22 /pmc/articles/PMC3899265/ /pubmed/24466098 http://dx.doi.org/10.1371/journal.pone.0086439 Text en © 2014 Iglesias et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Iglesias, Isabel Lorenzo, María N. Taboada, Juan J. Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title | Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title_full | Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title_fullStr | Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title_full_unstemmed | Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title_short | Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures |
title_sort | seasonal predictability of the east atlantic pattern from sea surface temperatures |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899265/ https://www.ncbi.nlm.nih.gov/pubmed/24466098 http://dx.doi.org/10.1371/journal.pone.0086439 |
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