The Southern Annular Mode Seen through Weather Regimes

• Published in: Journal of climate 2012-05, Vol.25 (9), p.3336-3354
• Main Authors: Pohl, Benjamin, Fauchereau, Nicolas
• Format: Article
• Language: English
• Subjects: Algorithms; Antarctic Oscillation; Antarctic regions; Asymmetry; Atmospheric circulation; Atmospheric models; Atmospherics; Climate change; Climatology; Cluster analysis; Clustering; Cold days; Datasets; Earth Sciences; Earth, ocean, space; Environmental Sciences; Exact sciences and technology; External geophysics; Global Changes; Hemispheres; Intercomparison; Meteorology; Oceans; Sciences of the Universe; Sea level; Sea level pressure; Southern Hemisphere; Temperate regions; Temporal variability; Temporal variations; Time series; Trends; Vector quantization; Weather
• ISSN: 0894-8755; 1520-0442
• DOI: 10.1175/JCLI-D-11-00160.1

This article investigates the prominent features of the Southern Hemisphere (south of 20°S) atmospheric circulation when extracted using EOF analysis and ak-means clustering algorithm. The focus is on the southern annular mode (SAM), the nature of its recent trend, and the zonal symmetry of associated spatial patterns. The study uses the NCEP–Department of Energy Atmospheric Model Intercomparison Project II Reanalysis (NCEP-2) (period 1979–2009) to obtain robust patterns over the recent years and the Twentieth Century Reanalysis Project (period 1871–2008) to document decadal changes. Also presented is a comparison of these signals against a station-based reconstruction of the SAM index and a gridded interpolated dataset [Hadley Centre Sea Level Pressure dataset version 2 (HadSLP2)]. Over their common period, both reanalyses are in fair agreement, both in terms of spatial patterns and temporal variability. In particular, both datasets show weather regimes that can be interpreted as the opposite phases of the SAM. At the decadal time scale, the study shows that the trend toward the positive SAM phase (as inferred from the usual EOF-based index) is related more to an increase in the frequency of clusters corresponding to the positive phase, with little changes in the frequency of the negative SAM events. Similarly, the long-term tropospheric warming trend already discussed in the literature is shown to be related more to a decrease in the number of abnormally cold days, with little changes in the number of abnormally warm days. The cluster analysis therefore allows for complement descriptions based on simple indexes or EOF decompositions, highlighting the nonlinear nature of the decadal changes in the Southern Hemisphere atmospheric circulation and temperature.