Modes of variability of Southern Hemisphere atmospheric circulation estimated by AGCMs

被引:0
|
作者
Simon Grainger
Carsten S. Frederiksen
Xiaogu Zheng
David Fereday
Chris K. Folland
Emilia K. Jin
James L. Kinter
Jeff R. Knight
Siegfried Schubert
Jozef Syktus
机构
[1] Bureau of Meteorology,Centre for Australian Weather and Climate Research
[2] National Institute of Water and Atmospheric Research,College of Global Change and Earth System
[3] Beijing Normal University,Department of Atmospheric, Oceanic and Earth Sciences
[4] Met Office Hadley Centre for Climate Change,undefined
[5] George Mason University,undefined
[6] Center for Ocean-Land-Atmosphere Studies,undefined
[7] NASA Goddard Space Flight Center,undefined
[8] Queensland Climate Change Centre of Excellence,undefined
来源
Climate Dynamics | 2011年 / 36卷
关键词
Modes of variability; Southern Hemisphere; Atmospheric circulation; ENSO; Southern Annular Mode;
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中图分类号
学科分类号
摘要
The seasonal mean variability of the atmospheric circulation is affected by processes with time scales from less than seasonal to interannual or longer. Using monthly mean data from an ensemble of Atmospheric General Circulation Model (AGCM) realisations, the interannual variability of the seasonal mean is separated into intraseasonal, and slowly varying components. For the first time, using a recently developed method, the slowly varying component in multiple AGCM ensembles is further separated into internal and externally forced components. This is done for Southern Hemisphere 500 hPa geopotential height from five AGCMs in the CLIVAR International Climate of the Twentieth Century project for the summer and winter seasons. In both seasons, the intraseasonal and slow modes of variability are qualitatively well reproduced by the models when compared with reanalysis data, with a relative metric finding little overall difference between the models. The Southern Annular Mode (SAM) is by far the dominant mode of slowly varying internal atmospheric variability. Two slow-external modes of variability are related to El Niño-Southern Oscillation (ENSO) variability, and a third is the atmospheric response to trends in external forcing. An ENSO-SAM relationship is found in the model slow modes of variability, similar to that found by earlier studies using reanalysis data. There is a greater spread in the representation of model slow-external modes in winter than summer, particularly in the atmospheric response to external forcing trends. This may be attributable to weaker external forcing constraints on SH atmospheric circulation in winter.
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页码:473 / 490
页数:17
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