The leading modes of decadal SST variability in the Southern Ocean in CMIP5 simulations

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Abstract

The leading modes of Sea Surface Temperature variability in the Southern Ocean on decadal and even larger time scales are analysed using Coupled Model Intercomparison Project 5 (CMIP5) model simulations and observations. The analysis is based on Empirical Orthogonal Function modes of the CMIP5 model super ensemble. We compare the modes from the CMIP5 super ensemble against several simple null hypotheses, such as isotropic diffusion (red noise) and a Slab Ocean model, to investigate the sources of decadal variability and the physical processes affecting the characteristics of the modes. The results show three main modes in the Southern Ocean: the first and most dominant mode on interannual to decadal time scales is an annular mode with largest amplitudes in the Pacific, which is strongly related to atmospheric forcing by the Southern Annular Mode and El Nino Southern Oscillation. The second mode is an almost basin wide monopole pattern, which has pronounced multi-decadal and longer time scales variability. It is firstly inducted by the Wave-3 patterns in the atmosphere and further developed via ocean dynamics. The third mode is a dipole pattern in the southern Pacific that has a pronounced peak in the power spectrum at multi-decadal time scales. All three leading modes found in the CMIP5 super model have distinct patterns and time scale behaviour that can not be explained by simple stochastic null hypothesis, thus all three leading modes are ocean–atmosphere coupled modes and are likely to be substantially influenced or driven by ocean dynamical processes.
Original languageEnglish
Pages (from-to)1775-1792
Number of pages18
JournalClimate Dynamics
Volume47
Issue number5
DOIs
Publication statusPublished - 1 Sept 2016

Keywords

  • Climate modes
  • CMIP5
  • Decadal variability
  • Southern Ocean
  • ARC Centre of Excellence for Climate System Science

    Jakob, C. (Primary Chief Investigator (PCI)), Alexander, L. (Chief Investigator (CI)), Bindoff, N. (Chief Investigator (CI)), Dommenget, D. (Chief Investigator (CI)), England, M. H. (Chief Investigator (CI)), Hogg, A. M. (Chief Investigator (CI)), Karoly, D. J. (Chief Investigator (CI)), Lane, T. (Chief Investigator (CI)), Lynch, A. (Chief Investigator (CI)), Pitman, A. (Chief Investigator (CI)), Roderick, M. (Chief Investigator (CI)), Sherwood, S. (Chief Investigator (CI)), Steffen, W. (Chief Investigator (CI)), Strutton, P. (Chief Investigator (CI)), Bony, S. (Partner Investigator (PI)), Frederiksen, C. (Partner Investigator (PI)), Grabowski, W. (Partner Investigator (PI)), Griffies, S. (Partner Investigator (PI)), Gupta, H. (Partner Investigator (PI)), Hendon, H. (Partner Investigator (PI)), Hirst, A. (Partner Investigator (PI)), Matear, R. (Partner Investigator (PI)), May, P. (Partner Investigator (PI)), Peters-Lidard, C. (Partner Investigator (PI)), Power, S. (Partner Investigator (PI)), Steenman-Clark, L. (Partner Investigator (PI)), Stott, P. (Partner Investigator (PI)), Sutton, R. (Partner Investigator (PI)), Wang, Y.-P. (Partner Investigator (PI)) & Whetton, P. (Partner Investigator (PI))

    Australian Research Council (ARC)

    1/01/1130/06/18

    Project: Research

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