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...
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ftunivreading:oai:centaur.reading.ac.uk:91933 2024-09-15T18:22:54+00:00 A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula Hernandez, Armand Sánchez-López, Guiomar Pla-Rabes, Sergi Comas-Bru, Laia Parnell, Andrew Cahill, Niamh Geyer, Adelina Trigo, Ricardo M Giralt, Santiago 2020 text https://centaur.reading.ac.uk/91933/ https://centaur.reading.ac.uk/91933/9/s41598-020-71372-5.pdf https://centaur.reading.ac.uk/91933/1/Hernandez%20et%20al%202020_accepted%20version.pdf en eng Nature https://centaur.reading.ac.uk/91933/9/s41598-020-71372-5.pdf https://centaur.reading.ac.uk/91933/1/Hernandez%20et%20al%202020_accepted%20version.pdf Hernandez, A., Sánchez-López, G., Pla-Rabes, S., Comas-Bru, L. <https://centaur.reading.ac.uk/view/creators/90009442.html> orcid:0000-0002-7882-4996 , Parnell, A., Cahill, N., Geyer, A., Trigo, R. M. and Giralt, S. (2020) A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula. Scientific Reports, 10 (1). 14961. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-020-71372-5 <https://doi.org/10.1038/s41598-020-71372-5> cc_by_4 Article PeerReviewed 2020 ftunivreading https://doi.org/10.1038/s41598-020-71372-5 2024-06-25T15:04:04Z 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation CentAUR: Central Archive at the University of Reading Scientific Reports 10 1 |
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Open Polar |
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CentAUR: Central Archive at the University of Reading |
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ftunivreading |
language |
English |
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 |
Article in Journal/Newspaper |
author |
Hernandez, Armand Sánchez-López, Guiomar Pla-Rabes, Sergi Comas-Bru, Laia Parnell, Andrew Cahill, Niamh Geyer, Adelina Trigo, Ricardo M Giralt, Santiago |
spellingShingle |
Hernandez, 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 |
author_facet |
Hernandez, Armand Sánchez-López, Guiomar Pla-Rabes, Sergi Comas-Bru, Laia Parnell, Andrew Cahill, Niamh Geyer, Adelina Trigo, Ricardo M Giralt, Santiago |
author_sort |
Hernandez, 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 |
publishDate |
2020 |
url |
https://centaur.reading.ac.uk/91933/ https://centaur.reading.ac.uk/91933/9/s41598-020-71372-5.pdf https://centaur.reading.ac.uk/91933/1/Hernandez%20et%20al%202020_accepted%20version.pdf |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://centaur.reading.ac.uk/91933/9/s41598-020-71372-5.pdf https://centaur.reading.ac.uk/91933/1/Hernandez%20et%20al%202020_accepted%20version.pdf Hernandez, A., Sánchez-López, G., Pla-Rabes, S., Comas-Bru, L. <https://centaur.reading.ac.uk/view/creators/90009442.html> orcid:0000-0002-7882-4996 , Parnell, A., Cahill, N., Geyer, A., Trigo, R. M. and Giralt, S. (2020) A 2,000-year Bayesian NAO reconstruction from the Iberian Peninsula. Scientific Reports, 10 (1). 14961. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-020-71372-5 <https://doi.org/10.1038/s41598-020-71372-5> |
op_rights |
cc_by_4 |
op_doi |
https://doi.org/10.1038/s41598-020-71372-5 |
container_title |
Scientific Reports |
container_volume |
10 |
container_issue |
1 |
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1810462950369001472 |