Historical SAM variability. Part I: Century-length seasonal reconstructions

Jones, Julie M., Fogt, Ryan L., Widmann, Martin, Marshall, Gareth J., Jones, Phil D. ORCID: https://orcid.org/0000-0001-5032-5493 and Visbeck, Martin (2009) Historical SAM variability. Part I: Century-length seasonal reconstructions. Journal of Climate, 22 (20). pp. 5319-5345. ISSN 0894-8755

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Seasonal reconstructions of the Southern Hemisphere annular mode (SAM) index are derived to extend the record before the reanalysis period, using station sea level pressure (SLP) data as predictors. Two reconstructions using different predictands are obtained: one [Jones and Widmann (JW)] based on the first principal component (PC) of extratropical SLP and the other (Fogt) on the index of Marshall. A regional-based SAM index (Visbeck) is also considered. These predictands agree well post-1979; correlations decline in all seasons except austral summer for the full series starting in 1958. Predictand agreement is strongest in spring and summer; hence agreement between the reconstructions is highest in these seasons. The less zonally symmetric SAM structure in winter and spring influences the strength of the SAM signal over land areas, hence the number of stations included in the reconstructions. Reconstructions from 1865 were, therefore, derived in summer and autumn and from 1905 in winter and spring. This paper examines the skill of each reconstruction by comparison with observations and reanalysis data. Some of the individual peaks in the reconstructions, such as the most recent in austral summer, represent a full hemispheric SAM pattern, while others are caused by regional SLP anomalies over the locations of the predictors. The JW and Fogt reconstructions are of similar quality in summer and autumn, while in winter and spring the Marshall index is better reconstructed by Fogt than the PC index is by JW. In spring and autumn the SAM shows considerable variability prior to recent decades.

Item Type: Article
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: Rosie Cullington
Date Deposited: 25 Jul 2011 14:07
Last Modified: 24 Oct 2022 00:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/34107
DOI: 10.1175/2009JCLI2785.1

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