A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula

The North Atlantic Oscillation (NAO) is the major atmospheric mode that controls winter European climate variability because its strength and phase determine regional temperature, precipitation and storm tracks. The NAO spatial structure and associated climatic impacts over Europe are not stationary...

Full description

Bibliographic Details
Published in:Scientific Reports
Main Authors: Hernández, Armand, Sánchez-López, Guiomar, Pla-Rabes, Sergi, Comas-Bru, Laia, Parnell, Andrew, Cahill, Niamh, Geyer, Adelina, Trigo, Ricardo M., Giralt, Santiago
Format: Text
Language:English
Published: Nature Publishing Group UK 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486925/
https://doi.org/10.1038/s41598-020-71372-5
id ftpubmed:oai:pubmedcentral.nih.gov:7486925
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:7486925 2023-05-15T17:31:32+02:00 A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula Hernández, Armand Sánchez-López, Guiomar Pla-Rabes, Sergi Comas-Bru, Laia Parnell, Andrew Cahill, Niamh Geyer, Adelina Trigo, Ricardo M. Giralt, Santiago 2020-09-11 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486925/ https://doi.org/10.1038/s41598-020-71372-5 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486925/ http://dx.doi.org/10.1038/s41598-020-71372-5 © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Sci Rep Article Text 2020 ftpubmed https://doi.org/10.1038/s41598-020-71372-5 2020-09-20T00:35:41Z The North Atlantic Oscillation (NAO) is the major atmospheric mode that controls winter European climate variability because its strength and phase determine regional temperature, precipitation and storm tracks. The NAO spatial structure and associated climatic impacts over Europe are not stationary making it crucial to understanding its past evolution in order to improve the predictability of future scenarios. In this regard, there has been a dramatic increase in the number of studies aimed at reconstructing past NAO variability, but the information related to decadal-scale NAO evolution beyond the last millennium is scarce and inconclusive. We present a new 2,000-year multi-annual, proxy-based reconstruction of local NAO impact, with associated uncertainties, obtained by a Bayesian approach. This new local NAO reconstruction is obtained from a mountain lacustrine sedimentary archive of the Iberian Peninsula. This geographical area is not included in previous NAO reconstructions despite being a widely used region for instrumental-based NAO measurements. We assess the main external forcings (i.e., volcanic eruptions and solar activity) on NAO variability which, on a decadal scale, show that a low number of sunspots correlate to low NAO values. By comparison with other previously published NAO reconstructions in our analyses we can test the stationarity of the solar influence on the NAO signal across a latitudinal gradient based on the position of the employed archives for each NAO reconstruction. Inconclusive results on the volcanic forcing on NAO variability over decadal time-scales indicates the need for further studies. Moreover, we highlight the potential role of other North Atlantic modes of variability (i.e., East Atlantic pattern) on the non-stationary behaviour of the NAO throughout the Common Era, likely via solar forcing. Text North Atlantic North Atlantic oscillation PubMed Central (PMC) Scientific Reports 10 1
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, Sergi
Comas-Bru, Laia
Parnell, Andrew
Cahill, Niamh
Geyer, Adelina
Trigo, Ricardo M.
Giralt, Santiago
A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
topic_facet Article
description The North Atlantic Oscillation (NAO) is the major atmospheric mode that controls winter European climate variability because its strength and phase determine regional temperature, precipitation and storm tracks. The NAO spatial structure and associated climatic impacts over Europe are not stationary making it crucial to understanding its past evolution in order to improve the predictability of future scenarios. In this regard, there has been a dramatic increase in the number of studies aimed at reconstructing past NAO variability, but the information related to decadal-scale NAO evolution beyond the last millennium is scarce and inconclusive. We present a new 2,000-year multi-annual, proxy-based reconstruction of local NAO impact, with associated uncertainties, obtained by a Bayesian approach. This new local NAO reconstruction is obtained from a mountain lacustrine sedimentary archive of the Iberian Peninsula. This geographical area is not included in previous NAO reconstructions despite being a widely used region for instrumental-based NAO measurements. We assess the main external forcings (i.e., volcanic eruptions and solar activity) on NAO variability which, on a decadal scale, show that a low number of sunspots correlate to low NAO values. By comparison with other previously published NAO reconstructions in our analyses we can test the stationarity of the solar influence on the NAO signal across a latitudinal gradient based on the position of the employed archives for each NAO reconstruction. Inconclusive results on the volcanic forcing on NAO variability over decadal time-scales indicates the need for further studies. Moreover, we highlight the potential role of other North Atlantic modes of variability (i.e., East Atlantic pattern) on the non-stationary behaviour of the NAO throughout the Common Era, likely via solar forcing.
format Text
author Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, Sergi
Comas-Bru, Laia
Parnell, Andrew
Cahill, Niamh
Geyer, Adelina
Trigo, Ricardo M.
Giralt, Santiago
author_facet Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, Sergi
Comas-Bru, Laia
Parnell, Andrew
Cahill, Niamh
Geyer, Adelina
Trigo, Ricardo M.
Giralt, Santiago
author_sort Hernández, Armand
title A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
title_short A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
title_full A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
title_fullStr A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
title_full_unstemmed A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula
title_sort 2,000-year bayesian nao reconstruction from the iberian peninsula
publisher Nature Publishing Group UK
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486925/
https://doi.org/10.1038/s41598-020-71372-5
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Sci Rep
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486925/
http://dx.doi.org/10.1038/s41598-020-71372-5
op_rights © The Author(s) 2020
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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1038/s41598-020-71372-5
container_title Scientific Reports
container_volume 10
container_issue 1
_version_ 1766129180142993408