Climate change simulated by full and mixed-layer ocean versions of CSIRO Mk3.5 and Mk3.0: Large-scale sensitivity

Asia-Pacific Journal of Atmospheric Sciences

Volumn 49, Issue 3, 2013, Pages 375-387

  Watterson, Ian G ^a   O'Farrell, Siobhan P ^a  

^a CSIRO   (Australia)

Author keywords

Climate change; climate modelling; feedbacks; sensitivity

Indexed keywords

EID: 84880013217     PISSN: 19767633     EISSN: 19767951     Source Type: Journal    
DOI: 10.1007/s13143-013-0035-9     Document Type: Article

References (32)

1. Bitz, C. M., K. M. Shell, P. R. Gent, D. A. Bailey, G. Danabasoglu, K. C. Armour, M. M. Holland, and J. T. Kiehl, 2012: Climate sensitivity of the Community Climate System Model, version 4. J. Climate, 25, 3053-3070.
2. Boer, G. J., and B. Yu, 2003: Climate sensitivity and response. Climate Dyn. 20, 415-429, DOI 10.1007/s00382-002-0283-3.
3. Böning, C. W., A. Dispert, M. Visbeck, S. R. Rintoul, and F. U. Schwarzkopf, 2008: The response of the Antarctic circumpolar current to recent climate change. Nature Geoscience, 1, 864-869.
4. Collins, M., B. B. B. Booth, B. Bhaskaran, G. R. Harris, J. M. Murphy, D. M. H. Sexton, and M. J. Webb, 2011: Climate model errors, feedbacks and forcings: a comparison of perturbed physics and multi-model ensembles. Climate Dyn., 36, 1737-1766.
5. Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20, 865-873.
6. CSIRO, and Bureau of Meteorology, 2007: Climate change in Australia. Technical report, CSIRO, Melbourne. avail. www.climatechangeinaustralia.gov.au.
7. Cubasch, U., G. A. Meehl, G. J. Boer, R. J. Stouffer, M. Dix, A. Noda, C. A. Senior, S. Raper, and K. S. Yap, 2001: Projections of future climate change. Climate Change 2001: The Scientific basis., J. T. Houghton, Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. Dai, K. Maskell, and C. A. Johnson, Eds., Cambridge Univ. Press, 525-582.
8. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597.
9. Gordon, H., S. O'Farrell, M. Collier, M. Dix, L. Rotstayn, E. Kowalczyk, T. Hirst, and I. Watterson, 2010: The CSIRO Mk3.5 Climate Model. Technical Report 21, Centre for Australian Weather and Climate Research, GPO Box 1289, Melbourne, Victoria 3001, Australia. avail. as www.cawcr.gov.au/publications/ technicalreports/CTR-021.pdf.
10. Gordon, H. B., and Coauthors 2002: The CSIRO Mk3 climate system model. Technical Paper 60, CSIRO Division of Atmospheric Research. www.cmar.csiro.au/e- print/open/gordon-2002a.pdf.
11. Kraus, E. B., and J. Turner, 1967: A one dimensional model of the seasonal thermocline II. The general theory and its consequences. Tellus, 19, 98-106.
12. Meehl, G., and Coauthors, 2007a: Global climate projections. Climate Change 2007. The Physical Science Basis, S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. Averyt, M. Tignor, and H. Miller, Eds., Cambridge University Press, 747-845.
13. Meehl, G. A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J. F. B. Mitchell, R. J. Stouffer, and K. E. Taylor, 2007b: The WCRP CMIP3 multi-model dataset: A new era in climate change research. Bull. Amer. Meteor. Soc., 88, 1383-1394.
14. Ohgaito, R., and A. Abe-Ouchi, 2009: The effect of sea surface temperature bias in the PMIP2 AOGCMs on mid-Holocene Asian monsoon enhancement. Climate Dyn., 33, 975-983. DOI 10.1007/s00382-009-0533-8.
15. Parker, D. E., C. K. Folland, A. Bevan, M. N. Ward, M. Jackson, and K. Maskell, 1995: Marine surface data for analysis of climatic fluctuations on interannual to century timescales. Natural climate variability on decade-to-century time scales, D. G. Martinson, K. Bryan, M. Ghil, M. M. Hall, T. R. Karl, E. S. Sarachik, S. Sorooshian, and L. D. Talley, Eds., National Academy Press, Washington, DC, 241-250.
16. Randall, D. A., R. A. Wood, S. Bony, R. Colman, T. Fichefet, J. Fyfe, V. Kattsov, A. Pit-man, J. Shukla, J. Srinivasan, R. J. Stouffer, A. Sumi, and K. E. Taylor, 2007: Climate models and their evaluation. Climate Change 2007. The Physical Science Basis, S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. Averyt, M. Tignor, and H. Miller, Eds., Cambridge University Press, 589-662.
17. Rogelj, J., M. Meinshausen, and R. Knutti, 2012: Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nature Climate Change, 2, 1-6. doi:10.1038/NCLIMATE1385.
18. Rotstayn, L. D., M. A. Collier, M. R. Dix, Y. Feng, H. B. Gordon, S. P. O'Farrell, I. N. Smith, and J. Syktus, 2010: Improved simulation of Australian climate and ENSO-related rainfall variability in a global climate model with an interactive aerosol treatment. Int. J. Climatol., 30, 1067-1088. doi:10.1002/joc.1952.
19. Smith, I., 2007: Global climate modelling within CSIRO: 1981 to 2006. Aust. Meteorol. Mag., 56, 153-166.
20. van Vuuren, D. P., and Coauthors, 2011: The representative concentration pathways: an overview. Climatic Change, 109, 5-31. doi:10.1007/s10584-011-0148- z.
21. Visbeck, M., J. Marshall, T. Haine, and M. Spall, 1997: Specification of eddy transfer coefficients in coarse resolution ocean circulation models. J. Phys. Oceanogr., 27, 381-402.
22. Watterson, I. G., 2003: Effects of a dynamic ocean on simulated climate sensitivity to greenhouse gases. Climate Dyn., 21, 197-209. DOI 10.1007/s00382-003-0326-4.
23. -, 2009: Components of rainfall and temperature anomalies and change associated with modes of the southern hemisphere. Int. J. Climatol., 29, 809-826.
24. -, 2013: Climate change simulated by full and mixed-layer ocean versions of CSIRO Mk3.5 and Mk3.0: the Asia-Pacific region. Asia-Pacific J. Atmos. Sci. 49, 287-300.
25. -, and M. R. Dix, 2005: Effective sensitivity and heat capacity in the response of climate models to greenhouse gas and aerosol forcings. Quart. J. Roy. Meteor. Soc., 131, 259-280.
26. -, and P. H. Whetton, 2011: Distributions of decadal means of temperature and precipitation change under global warming. J. Geophys. Res., 116. D07101, doi:10.1029/2010JD014502.
27. -, S. P. O'Farrell, and M. R. Dix, 1997: Energy and water transport in climates simulated by a general circulation model that includes dynamic sea ice. J. Geophys. Res., 102, 11027-11037.
28. 2 climates and feedbacks simulated by three general circulation models. J. Geophys. Res., 104, 1943-1956.
29. Wetherald, R. T., and S. Manabe, 1988: Cloud feedback processes in a general circulation model. J. Atmos. Sci., 45, 1397-1415.
30. Whetton, P., M. England, S. O'Farrell, I. Watterson, and B. Pittock, 1996: Global comparison of the regional rainfall results of enhanced greenhouse coupled and mixed layer ocean experiments: Implications for climate model scenario development. Climatic Change, 33, 497-519.
31. 2 increase in eight state-of-the-art climate models. Tellus-A, 60, 946-961. doi:10.1111/j.1600-0870.2008.00345.x.
32. 2 increase between two perturbed physics ensembles. J. Climate, 23, 1392-1410. doi:10.1175/2009-JCLI2917.1.