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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...

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Detalles Bibliográficos
Autores principales: Iglesias, Isabel, Lorenzo, María N., Taboada, Juan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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