Inferred changes in El Niño–Southern Oscillation variance over the past six centuries

It is vital to understand how the El Niño–Southern Oscillation (ENSO) has responded to past changes in natural and anthropogenic forcings, in order to better understand and predict its response to future greenhouse warming. To date, however, the instrumental record is too brief to fully characterize...

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Main Authors: S. McGregor, A. Timmermann, M. H. England, O. Elison Timm, A. T. Wittenberg
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
Series:Climate of the Past
Online Access:http://www.clim-past.net/9/2269/2013/cp-9-2269-2013.pdf
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spelling doaj-3d0384effc144faf9da4574944eaf7592020-11-25T00:21:08ZengCopernicus PublicationsClimate of the Past1814-93241814-93322013-10-01952269228410.5194/cp-9-2269-2013Inferred changes in El Niño–Southern Oscillation variance over the past six centuriesS. McGregorA. TimmermannM. H. EnglandO. Elison TimmA. T. WittenbergIt is vital to understand how the El Niño–Southern Oscillation (ENSO) has responded to past changes in natural and anthropogenic forcings, in order to better understand and predict its response to future greenhouse warming. To date, however, the instrumental record is too brief to fully characterize natural ENSO variability, while large discrepancies exist amongst paleo-proxy reconstructions of ENSO. These paleo-proxy reconstructions have typically attempted to reconstruct ENSO's temporal evolution, rather than the variance of these temporal changes. Here a new approach is developed that synthesizes the variance changes from various proxy data sets to provide a unified and updated estimate of past ENSO variance. The method is tested using surrogate data from two coupled general circulation model (CGCM) simulations. It is shown that in the presence of dating uncertainties, synthesizing variance information provides a more robust estimate of ENSO variance than synthesizing the raw data and then identifying its running variance. We also examine whether good temporal correspondence between proxy data and instrumental ENSO records implies a good representation of ENSO variance. In the climate modeling framework we show that a significant improvement in reconstructing ENSO variance changes is found when combining information from diverse ENSO-teleconnected source regions, rather than by relying on a single well-correlated location. This suggests that ENSO variance estimates derived from a single site should be viewed with caution. Finally, synthesizing existing ENSO reconstructions to arrive at a better estimate of past ENSO variance changes, we find robust evidence that the ENSO variance for any 30 yr period during the interval 1590–1880 was considerably lower than that observed during 1979–2009.http://www.clim-past.net/9/2269/2013/cp-9-2269-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. McGregor
A. Timmermann
M. H. England
O. Elison Timm
A. T. Wittenberg
spellingShingle S. McGregor
A. Timmermann
M. H. England
O. Elison Timm
A. T. Wittenberg
Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
Climate of the Past
author_facet S. McGregor
A. Timmermann
M. H. England
O. Elison Timm
A. T. Wittenberg
author_sort S. McGregor
title Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
title_short Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
title_full Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
title_fullStr Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
title_full_unstemmed Inferred changes in El Niño–Southern Oscillation variance over the past six centuries
title_sort inferred changes in el niño–southern oscillation variance over the past six centuries
publisher Copernicus Publications
series Climate of the Past
issn 1814-9324
1814-9332
publishDate 2013-10-01
description It is vital to understand how the El Niño–Southern Oscillation (ENSO) has responded to past changes in natural and anthropogenic forcings, in order to better understand and predict its response to future greenhouse warming. To date, however, the instrumental record is too brief to fully characterize natural ENSO variability, while large discrepancies exist amongst paleo-proxy reconstructions of ENSO. These paleo-proxy reconstructions have typically attempted to reconstruct ENSO's temporal evolution, rather than the variance of these temporal changes. Here a new approach is developed that synthesizes the variance changes from various proxy data sets to provide a unified and updated estimate of past ENSO variance. The method is tested using surrogate data from two coupled general circulation model (CGCM) simulations. It is shown that in the presence of dating uncertainties, synthesizing variance information provides a more robust estimate of ENSO variance than synthesizing the raw data and then identifying its running variance. We also examine whether good temporal correspondence between proxy data and instrumental ENSO records implies a good representation of ENSO variance. In the climate modeling framework we show that a significant improvement in reconstructing ENSO variance changes is found when combining information from diverse ENSO-teleconnected source regions, rather than by relying on a single well-correlated location. This suggests that ENSO variance estimates derived from a single site should be viewed with caution. Finally, synthesizing existing ENSO reconstructions to arrive at a better estimate of past ENSO variance changes, we find robust evidence that the ENSO variance for any 30 yr period during the interval 1590–1880 was considerably lower than that observed during 1979–2009.
url http://www.clim-past.net/9/2269/2013/cp-9-2269-2013.pdf
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