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, S., Comas-Bru, Laia, Parnell, Andrew, Cahill, Niamh, Geyer, Adelina, Trigo, Ricardo M., Giralt, Santiago
Other Authors: Ministerio de Economía y Competitividad (España), Consejo Superior de Investigaciones Científicas (España), Science Foundation Ireland
Format: Article in Journal/Newspaper
Language:English
Published: Nature Publishing Group 2020
Subjects:
Online Access:http://hdl.handle.net/10261/220973
https://doi.org/10.1038/s41598-020-71372-5
https://doi.org/10.13039/501100003329
https://doi.org/10.13039/501100003339
https://doi.org/10.13039/501100001602
id ftcsic:oai:digital.csic.es:10261/220973
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/220973 2024-02-11T10:06:13+01:00 A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula Hernández, Armand Sánchez-López, Guiomar Pla-Rabes, S. Comas-Bru, Laia Parnell, Andrew Cahill, Niamh Geyer, Adelina Trigo, Ricardo M. Giralt, Santiago Ministerio de Economía y Competitividad (España) Consejo Superior de Investigaciones Científicas (España) Science Foundation Ireland Giralt, Santiago Geyer, Adelina Hernández, Armand 2020-09 http://hdl.handle.net/10261/220973 https://doi.org/10.1038/s41598-020-71372-5 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100003339 https://doi.org/10.13039/501100001602 en eng Nature Publishing Group #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2010-15767/BTE info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-40608-R info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75281-C2-1-R Publisher's version https://doi.org/10.1038/s41598-020-71372-5 Sí Scientific Reports, 10(1): Article number: 14961 (2020) http://hdl.handle.net/10261/220973 doi:10.1038/s41598-020-71372-5 2045-2322 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 http://dx.doi.org/10.13039/501100001602 32917916 open Cycle Model Precipitation Impact Circulation Solar Paleoclimate Reconstruction Climate Variability East Atlantic North-Atlantic Oscillation PolarCSIC artículo http://purl.org/coar/resource_type/c_6501 2020 ftcsic https://doi.org/10.1038/s41598-020-71372-510.13039/50110000332910.13039/50110000333910.13039/501100001602 2024-01-16T10:58:27Z 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. This work was financed by the Spanish Ministry of Economy and Competitiveness through the PaleoNAO (CGL2010-15767/BTE), RapidNAO (CGL2013-40608-R), and PaleoModes ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Digital.CSIC (Spanish National Research Council) Scientific Reports 10 1
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
topic Cycle
Model
Precipitation
Impact
Circulation
Solar
Paleoclimate Reconstruction
Climate Variability
East Atlantic
North-Atlantic Oscillation
PolarCSIC
spellingShingle Cycle
Model
Precipitation
Impact
Circulation
Solar
Paleoclimate Reconstruction
Climate Variability
East Atlantic
North-Atlantic Oscillation
PolarCSIC
Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, S.
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 Cycle
Model
Precipitation
Impact
Circulation
Solar
Paleoclimate Reconstruction
Climate Variability
East Atlantic
North-Atlantic Oscillation
PolarCSIC
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. This work was financed by the Spanish Ministry of Economy and Competitiveness through the PaleoNAO (CGL2010-15767/BTE), RapidNAO (CGL2013-40608-R), and PaleoModes ...
author2 Ministerio de Economía y Competitividad (España)
Consejo Superior de Investigaciones Científicas (España)
Science Foundation Ireland
Giralt, Santiago
Geyer, Adelina
Hernández, Armand
format Article in Journal/Newspaper
author Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, S.
Comas-Bru, Laia
Parnell, Andrew
Cahill, Niamh
Geyer, Adelina
Trigo, Ricardo M.
Giralt, Santiago
author_facet Hernández, Armand
Sánchez-López, Guiomar
Pla-Rabes, S.
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
publishDate 2020
url http://hdl.handle.net/10261/220973
https://doi.org/10.1038/s41598-020-71372-5
https://doi.org/10.13039/501100003329
https://doi.org/10.13039/501100003339
https://doi.org/10.13039/501100001602
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2010-15767/BTE
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-40608-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75281-C2-1-R
Publisher's version
https://doi.org/10.1038/s41598-020-71372-5

Scientific Reports, 10(1): Article number: 14961 (2020)
http://hdl.handle.net/10261/220973
doi:10.1038/s41598-020-71372-5
2045-2322
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100003339
http://dx.doi.org/10.13039/501100001602
32917916
op_rights open
op_doi https://doi.org/10.1038/s41598-020-71372-510.13039/50110000332910.13039/50110000333910.13039/501100001602
container_title Scientific Reports
container_volume 10
container_issue 1
_version_ 1790603787348475904