final_program_abstracts[1]

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11 IMSC Session Program Hegerl, G. C., T. J. Crowley, M. Allen, W. T. Hyde, and H. N. Pollack, Detection of human influence on a new, validated 1500-year temperature reconstruction, J. Climate, 20, 650–666, 2007. Abstracts 125
11 IMSC Session Program An intercomparison of the SAM index in the 20 th century reanalysis, HadSLP2 and statistical SAM index reconstructions Tuesday - Parallel Session 3 Julie M. Jones 1 , Ryan L. Fogt 2 and Martin Widmann 3 1 Department of Geography, University of Sheffield, UK 2 Department of Geography, Ohio University, USA 3 School of Geography, Earth and Environmental Sciences, University of Birmingham, UK The Southern Hemisphere Annular Mode (SAM) is the main mode of atmospheric circulation variability in the Southern Hemisphere. It characterises changes in the strength and position of the eddy-driven jet, with a positive index representing negative high latitude and positive midlatitude pressure anomalies, and hence stronger westerly circumpolar flow. Recent observational records indicate positive trends during austral summer and autumn, a number of modelling studies suggest that this is a response to stratospheric ozone depletion and increased atmospheric greenhouse gas concentrations. It is difficult to put these changes into a longer-term context, due to the lack of a long, homogeneously spaced network of meteorological stations to provide SLP estimates, largely due to the large ratio of ocean to land in the Southern Hemisphere, and that the largest continent, Antarctica, did not have regular meteorological measurements until 1958. This study compares the SAM in the four standard seasons as calculated from the twentieth century reanalysis, as calculated from a statistical reconstruction of gridded SLP (HadSLP2), and from SAM index reconstructions derived using principal component regression with station sea level pressure (SLP) data as predictors (Jones et al. 2009). Initial analysis shows differences between the reconstructions and HadSLP2 between the 1920s and the 1940s, which may be linked to a lack of pressure data in the southeastern Pacific during this period. Jones, J. M., R. L. Fogt, M. Widmann, G. Marshall, P. D. Jones, and M., Visbeck, 2009: Historical SAM Variability. Part I: Century Length Seasonal Reconstructions, J. Climate, 22, 53195345. Abstracts 126
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