The ACCESS coupled model: Description, control climate and evaluation

Australian Meteorological and Oceanographic Journal

Volumn 63, Issue 1, 2013, Pages 41-64

  Bi, Daohua ^a   Dix, Martin ^a   Marsland, Simon J ^a   O'Farrell, Siobhan ^a   Rashid, Harun A ^a   Uotila, Petteri ^a   Hirst, Anthony C ^a   Kowalczyk, Eva ^a   Golebiewski, Maciej ^c   Sullivan, Arnold ^a   Yan, Hailin ^a   Hannah, Nicholas ^a   Franklin, Charmaine ^a   Sun, Zhian ^b   Vohralik, Peter ^c   Watterson, Ian ^a   Zhou, Xiaobing ^b   Fiedler, Russell ^a   Collier, Mark ^a   Ma, Yimin ^b   Noonan, Julie ^a   Stevens, Lauren ^a   Uhe, Peter ^a   Zhu, Hongyan ^b   Griffies, Stephen M ^d   Hill, Richard ^e   Harris, Chris ^e   Puri, Kamal ^b   more..

^a Bureau of Meteorology Centre for Australian Weather and Climate Research   (Australia)

^b BUREAU OF METEOROLOGY   (Australia)

^c CSIRO   (Australia)

^d NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^e MET OFFICE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ATMOSPHERIC MODELING; CLIMATE MODELING; CLIMATE PREDICTION; LAND SURFACE; SEA ICE; WARMING; WEATHER FORECASTING;

UNITED KINGDOM;

EID: 84882399534     PISSN: 1836716X     EISSN: None     Source Type: Journal    
DOI: 10.22499/2.6301.004     Document Type: Article

References (115)

1. Adcroft, A. and Campin, J.-M. 2004. Rescaled height coordinates for accurate representation of free-surface flows in ocean circulation models. Ocean Modell., 7, 269-284.
2. Adcroft, A., Hill, C., Marshall, J. 1997. Representation of topography by shaved cells in a height coordinate ocean model. Mon. Weather Rev., 125, 2293-2315.
3. Antoniou, J., Locarnini, R., Boyer, T., Mishonov, A., Garcia, H. 2006. World Ocean Atlas 2005, Volume 2: Salinity. U.S. Government Printing Office 62, NOAA Atlas NESDIS, Washington, DC, 182 pp.
4. Antonov, J.I., Seidov, D., Boyer, T.P., Locarnini, R.A., Mishonov, A.V., Garcia, H.E., Baranova, O.K., Zweng, M.M., and Johnson, D.R. 2010. World Ocean Atlas 2009, Volume 2: Salinity. S. Levitus, Ed. NOAA Atlas NESDIS 69, U.S. Government Printing Office, Washington, D.C., 184 pp.
5. Arakawa, A. and Lamb, V.R. 1977. Computational design and the basic dynamical processes of the UCLA general circulation Model. Methods in Computational Physics, 17, p173.
6. Arribas, A., Glover, M., Maidens, A., Peterson, K., Gordon, M., MacLach lan, C., Cusack, S., and Scaife, A. 2011. The GloSea4 ensemble prediction system for seasonal forecasting. Mon. Weather Rev., 139, 1891-1910. doi: 10.1175/2010MWR3615.1
7. Avila, F.B., Pitman, A.J., Donat, M.G., Alexander L.V., and Abramowitz, G. 2012. Climate model simulated changes in temperature extremes due to land cover change, J. Geophys. Res., 117, D04108, doi:10.1029/2011JD016382.
8. Bellouin, N., Rae, J., Jones, A., Johnson, C., Haywood, J., and Boucher, O. 2011. Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate. J. Geophys. Res., 116, D20206, doi:10.1029/2011JD016074.
9. Bi, D. and Marsland, S.J. 2010. Australian Climate Ocean Model (AusCOM) Users Guide. CAWCR Technical Report No. 027, The Centre for Australian Weather and Climate Research, a partnership between CSIRO and the Bureau of Meteorology. 72 pp. ISBN: 978-1-921605-92-5 (PDF).
10. Bi, D., Marsland, S.J., Uotila, P., O'Farrell, S., Fielder, R., Sullivan, A., Griffies, S.M., Zhou, X., and Hirst, A.C. 2013. ACCESS OM, the Ocean-Sea Ice Core of the ACCESS Coupled Model. Aust. Met. Oceanogr. J., 63, 213-232.
11. Boutle, I.A. and Morcrette, C.J. 2010. Parametrization of area cloud fraction. Atmos. Sci. Let., 11, 283-289.
12. Cai, W., Sullivan, A., and Cowan, T. 2009. Climate change contributes to more frequent consecutive positive Indian Ocean Dipole events. Geophys. Res. Lett., 36, L19783, doi:10.1029/2009GL040163.
13. Collins, M., An, S-I., Cai, W., Ganachaud, A., Guilyardi, E., Jin, F-F., Jochum, M., Lengaigne, M., Power, S., Timmermann, A., Vecchi, G. and Wittenberg, A. 2010. The Impact of Global Warming on the Tropical Pacific and El Niño. Nature Geoscience, 3, 391-397.
14. Collins, W.J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Hinton, T., Jones, C.D., Liddicoat, S., Martin, G., O'Connor, F., Rae, J., Senior, C., Totterdell, I., Woodward, S., Reichler, T., Kim, J., Halloran, P. 2008. Evaluation of the HadGEM2 model. Hadley Centre Technical Note HCTN 74, Met Office Hadley Centre, Exeter, U.K., http://www.metoffice.gov.uk/learning/ library/publications/science/climate-science.
15. Cox, P., Betts, R., Bunton, C., Essery, P., Rowntree, R. and Smith, J. 1999. The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Clim. Dyn., 15, 183-203.
16. Davies, T., Cullen, M.J.P., Malcolm, A.J., Mawson, M.H., Staniforth, A., White, A.A., and Wood, N. 2005. A new dynamical core for the Met Office's global and regional modelling of the atmosphere. Q. J. R. Meteorol. Soc., 131, 1759-1782.
17. Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., and others. 2011. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc., 137, 553-597.
18. Dix, M., Vohralik, P., Bi, D., Rashid, H., Marsland, S.J., O'Farrell, S., Uotila, P., Hirst, A.C., Kowalczyk, E., Sullivan, A., Yan, H., Franklin, C., Sun, Z., Watterson, I., Collier, M., Noonan, J. Rotstayn, J. Stevens, L., Uhe P., and Puri, K. 2013. The ACCESS Coupled Model: Documentation of core CMIP5 simulations and initial results. Aust. Met. Oceanogr. J., 63, 83-99.
19. Dunne, J.P., John, J.G., Adcroft, A.J., Griffies, S.M., Hallberg, R.W., Shevliakova, E.N., Stouffer, R.J., Cooke, W., Dunne, K.A., Harrison, M.J., Krasting, J.P., Levy, H., Malyshev, S.L., Milly, P.C.D., Phillipps, P.J., Sentman, L.A., Samuels, B.L., Spelman, M.J., Winton, M., Wittenberg, A.T., and Zadeh, N. 2012 GFDL's ESM2 global coupled climate-carbon Earth System Models Part I: Physical formulation and baseline simulation characteristics. J. Climate, 25, 6646-6665. doi:10.1175/JCLI-D-11-00560.1.
20. Durack, P.J., Wijffels S.E., and Matear, R.J. 2012. Ocean Salinities Reveal Strong Global Water Cycle Intensification During 1950 to 2000. Science, 336, 455-458. DOI: 10.1126/science.1212222.
21. Edwards, J.M., Beare, R.J., and Lapworth, A.J. 2006. Simulations of the observed evening transition and nocturnal boundary layers: Single-column modelling. Q. J. R. Meteorol. Soc., 132, 61-80.
22. Edwards, J.M. and Slingo, A. 1996. Studies with a new flexible radiation code. I: Choosing a configuration for a large-scale model. Q. J. R. Meteorol. Soc, 122, 689-720.
23. Elliott, S.M., Deal, C., Humphries, G., Hunke, E.C., Jeffery, N., Jin, M., Levasseur, M., and Stefels, J. 2012. Pan-Arctic simulation of coupled nutrient-sulfur cycling due to sea ice biology: Preliminary results, J. Geophys. Res., 117, 1-16, doi:10.1029/2011JG001649.
24. Essery, R.L.H., Best, M.J., Betts, R.A., Cox, P.M., and Taylor, C.M. 2003. Explicit Representation of Subgrid Heterogeneity in a GCM Land Surface Scheme. J. Hydrometeor., 4, 530-543, doi:10.1175/1525-7541(2003)004<0530: EROSHI>2.0.CO;2.
25. Fairall, C.W., Bradley, E.F., Hare, J.E., Grachev, A.A., and Edson, J.B. 2003. Bulk Parameterization of Air-Sea Fluxes: Updates and Verification for the COARE Algorithm. J. Clim., 16, 571-591.
26. Flocco, D., Schroeder, D., Feltham, D.L., and Hunke, E.C. 2012. Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007. J. Geophys. Res., 117, 1-17, doi:10.1029/2012JC008195.
27. Fox-Kemper, B., Ferrari, R., and Hallberg, R. 2008. Parameterization of mixed layer ddies. Part I: Theory and diagnosis. J. Phys. Oceanogr., 38, 1145-1165.
28. Fox-Kemper, B., Danabasoglu, G., Ferrari, R., Griffies, S.M., Hallberg, R.W., Holland, M.M., Maltrud, M.E., Peacock, S.L., and Samuels, B.L. 2011. Parameterization of mixed layer eddies. III: Implementation and impact in global ocean climate simulations. Ocean Modelling, 39, doi:10.1016/j.ocemod.2010.09. 002.
29. Franklin, C.N., Jakob, C., Dix, M., Protat, A., and Roff, G. 2012. Assessing the performance of a prognostic and a diagnostic cloud scheme using single column model simulations of TWP-ICE. Q. J. R. Meteorol. Soc, 138, 734-754, doi: 10.1002/qj.954
30. Franklin, C.N., Sun, Z., Bi, D., Dix, M., Yan, H., and Bodas-Salcedo, A. 2013. Evaluation of clouds in ACCESS using the satellite simulator package COSP. Global, seasonal and regional cloud properties. J. Geophys. Res., 118, 732-748. doi: 10.1029/2012JD018469.
31. Gent, P.R., and McWilliams, J.C. 1990. Isopycnal mixing in ocean circulation models. J. Phys. Oceanogr., 20, 150-155.
32. Gent, P.R. Willebrand, J., McDougall, T.J., and McWilliams, J.C. 1995. Parameterizing eddy-induced tracer transports in ocean circulation models. J. Phys. Oceanogr., 25, 463-474.
33. Gent, P.R., Danabasoglu, G., Donner, L.J., Holland, M.M., Hunke, E.C., Jayne, S.R., Lawrence, D.M., Neale, R.B., Rasch, P.J., Vertenstein, M., Worley, P.H., Yang, Z.L., and Zhang, M. 2011. The Community Climate System Model Version 4. J. Clim., 24, 4973-4991.
34. GLOBE Task Team and others (D.A. Hastings, P.K. Dunbar, G.M. Elphingstone, M. Bootz, H. Murakami, H. Maruyama, H. Masaharu, P. Holland, J. Payne, N.A. Bryant, T.L. Logan, J.-P. Muller, G. Schreier, and J.S. MacDonald), eds., 1999. The Global Land One-kilometer Base Elevation (GLOBE) Digital Elevation Model, Version 1.0. National Oceanic and Atmospheric Administration, National Geophysical Data Center, 325 Broadway, Boulder, Colorado 80303, U.S.A. Digital data base on the World Wide Web (URL: http://www.ngdc.noaa.gov/mgg/topo/ globe.html) and CD-ROMs.
35. Gnanadesikan, A., Dixon, K.W., Griffies, S.M., Balaji, V., Barreiro, M., Beesley, J.A., Cooke, W.F., Delworth, T.L., Gerdes, R., Harrison, M.J., Held, I.M., Hurlin, W.J., Lee, H.C., Liang, Z., Nong, G., Pacanowski, R.C., Rosati, A., Russell, J.L., Samuels, B.L., Song, Q., Spelman, M.J., Stouffer, R.J., Sweeney, C., Vecchi, G.A., Winton, M., Wittenberg, A.T., Zeng, F., Zhang, R., and Dunne, J.P. 2006. GFDL's CM2 Global Coupled Climate Models. Part II: The baseline ocean simulation. J. Clim., 19, doi:10.1175/JCLI3630.1.
36. Gordon, H., O'Farrell, S., Collier, M., Dix, M., Rotstayn, L., Kowalczyk, E., Hirst, T., and Watterson, I. 2010. The CSIRO Mk3.5 Climate Model [Electronic resource]. Centre for Australian Weather and Climate Research. GPO Box 1289, Melbourne, Victoria 3001, Australia. CAWCR Technical Report No. 021. 61 pp. ISBN: 978-1-921605-666.
37. Gregory, D. and Rowntree, P.R. 1990. A mass-flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure. Mon. Weather Rev., 118, 1483-1506.
38. Griffies, S.M, 1998. The Gent-McWilliams skew-flux. J. Phys. Oceanogr., 28, 831-841.
39. Griffies, S.M., Gnanadesikan, S. Dixon, K.W., Dunne, J.P., Gerdes, R., Harrison, M.J., Rosati, A., Russell, J., Samuels, B.L., Spelman, M.J., Winton, M., Zhang, R. 2005. Formulation of an ocean model for global climate simulations. Ocean Science, 1, 45-79.
40. Griffies, S.M. 2009. Elements of MOM4p1: GFDL Ocean Group Tech. Rep. No. 6, NOAA/Geophysical Fluid Dynamics Laboratory, 444 pp.
41. Griffies, S.M., Biastoch, A., Boening, C.W., Bryan, F., Chassignet, E., England, M., Gerdes, R., Haak, H., Hallberg, R.W., Hazeleger, W., Jungclaus, J., Large, W.G., Madec, G., Samuels, B.L., Scheinert, M., Gupta, A.S., Severijns, C.A., Simmons, H.L., Treguier, A.M., Winton, M., Yeager, S., and Yin, J. 2009. Coordinated ocean-ice reference experiments (COREs). Ocean Modelling, 26, 1-46, DOI:10.1016/j.ocemod.2008.08.007.
42. Griffies, S.M., Winton, M., Donner, L.J. Horowitz, L.W., Downes, S.M., Farneti, R., Gnanadesikan, A., Hurlin, W.J., Lee, H.C., Liang, Z. Palter, J.B., Samuels, B.L., Wittenberg, A.T., Wyman, B.L., Yin, J., and Zadeh, N. 2011. The GFDL CM3 Coupled Climate Model: Characteristics of the Ocean and Sea Ice Simulations. J. Clim., 24, 3520-3544, DOI: 10.1175/2011JCLI3964.1.
43. Hewitt, H.T., Copsey, D., Culverwell, I.D., Harris, C.M., Hill, R.S.R., Keen, A.B., McLaren, A.J., and Hunke, E.C. 2011. Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system. Geosci. Model Dev., 4, 223-253, doi:10.5194/gmd-4-223-2011.
44. Hilton, R.D., Featherstone, W.E., Berry, P.A.M., Johnson, C.P.D., and Kirby, J.F. 2003. Comparison of digital elevation models over Australia and external Validation using ERS-1 satellite radar altimetry. Aust. J. Earth Sci., 50, 157-168, doi:10.1046/j.1440-0952.2003.00982.x.
45. Holland, M.M., Bailey, D.A., Briegleb, B.P., Light, B., and Hunke, E. 2012. Improved Sea Ice Shortwave Radiation Physics in CCSM4: The Impact of Melt Ponds and Aerosols on Arctic Sea Ice. J. Clim., 25, 1413-1430. doi: http://dx.doi.org/10.1175/JCLI-D-11-00078.1
46. Huffman, G.J, Adler, R.F., Bolvin, D.T., and Gu, G. 2009. Improving the Global Precipitation Record: GPCP Version 2.1. Geophys. Res. Lett., 36, L17808, doi:10.1029/2009GL040000.
47. Hunke, E.C., and Dukowicz, J.K. 1997. An Elastic-Viscous-Plastic Model for Sea ice Dynamics. J. Phys. Oceanogr., 27, 1849-1867, doi:10.1175/1520- 0485(1997)027 <1849:AEVPMF>2.0.CO;2.
48. Hunke, E.C. and Lipscomb, W.H., 2010. CICE: The Los Alamos sea ice model documentation and software user's manual, Version 4.1. LA-CC-06-012, Los Alamos National Laboratory, N.M., 76 pp.
49. Intergovernmental Panel on Climate Change. 2007. IPCC Fourth Assessment Report, Climate Change 2007, UNEP/WMO.
50. Jochum, M. 2009. Impact of latitudinal variations in vertical diffusivity on climate simulations. J. Geophys. Res., 114, C01010, doi:10.1029/ 2008JC005030.
51. Jones, P.W. 1997. A User's Guide for SCRIP: A spherical coordinate remapping and interpolation package. LA-CC- 98-45, Los Alamos National Laboratory, N.M., 27pp.
52. Kim, D., Kug, J.-S., Kang, I.-S., Jin F.-F., and Wittenberg, A.T. 2008. Tropical Pacific impacts of convective momentum transport in the SNU coupled GCM. Clim. Dyn., 31, 213-226. DOI 10.1007/s00382-007-0348-4.
53. King, J.C., Connolley, W.M. and Derbyshire, S.H. 2001. Sensitivity of modelled Antarctic climate to surface and boundary-layer parametrizations. Q. J. R. Meteorol. Soc., 127, 779-794.
54. Kowalczyk, E.A., Wang, Y.P., Law, R.M., Davies, H.L., McGregor, J.L., and Abramowitz, G. 2006. The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model. CSIRO Marine and Atmospheric Research paper 013, 43pp. www.cmar.csiro.au/e-print/open/kowalczykea-2006a.pdf
55. Kowalczyk, E.A., Stevens, L., Law, R.M., Dix, M., Wang, Y.P., Harman, I.N., Hayens, K., Srbinovsky, J., Pak, B., and Zhien, T. 2013. The land surface model component of ACCESS: description and impact on the simulated surface climatology. Aust. Met. Oceanogr. J., 63, 65-82.
56. Kwok, R., and Cunningham, G.F. 2008. ICESat over Arctic sea-ice: Estimation of snow depth and ice thickness. J. Geophys. Res., 113, C08010, doi:10.1029/2008JC004753.
57. Large, W.G., McWilliams, J.C., and Doney, S.C. 1994. Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization. Rev. Geophys., 32, 363-403, doi:10.1029/94RG01872.
58. Laxon, S., Peacock, N. and Smith, D. 2003. High interannual variability of sea ice thickness in the Arctic region. Nature, 425, 947-950.
59. Lock, A.P, Brown, A.R., Bush, M.R., Martin G.M. and Smith, R.N.B. 2000. A new boundary layer mixing scheme. Part I: Scheme description and single-column model tests. Mon. Weather Rev., 128, 3187-3199
60. Leuning, R. 1995. A critical appraisal of a combined stomatal photosynthesis model for C3 plants. Plant Cell Environ., 18, 339-355, doi:10.1111/j.1365-3040.1995.tb00370.x.
61. Lin, J. L. 2007. The double-ITCZ problem in IPCC AR4 coupled GCMs: ocean-atmosphere feedback analysis. J. Clim., 20, 4497-4525.
62. Locarnini, R., Mishonov, A., Antonov, J., Boyer, T., Garcia, H. 2006. World Ocean Atlas 2005, volume 1: Temperature. U.S. Government Printing Office 61, NOAA Atlas NESDIS, Washington, DC, 182 pp.
63. Lock, A.P., Brown, A.R, Bush, M.R., Martin, G.M., and Smith, R.N.B. 2000. A new boundary layer mixing scheme. Part I: Scheme description and SCM tests. Mon. Weather Rev., 128, 3187-3199.
64. Lucarini, V., and Ragone, F. 2011. Energetics of PCMDI/CMIP3 climate models: energy budget and meridional enthalpy transport. Rev Geophys., 49, RG1001. DOI:10.1029/2009RG000323.
65. McDougall, T. J., 2003: Potential enthalpy: a conservative oceanic variable for evaluating heat content and heat fluxes. J. Phys. Oceanogr., 33, 945-963.
66. Marsland, S.J., Bi, D., Uotila, P., Fiedler, R., Griffies, S.M., Lorbacher, K., O'Farrell, S., Sullivan, A., Uhe, P., Zhou, X., and Hirst, A.C. 2013. Evaluation of ACCESS Climate Model ocean diagnostics in CMIP5 simulations. Aust. Met. Oceanogr. J., 63, 101-119.
67. Martin, G.M., Milton, S.F., Senior, C.A., Brooks, M.E., Ineson, S., Reichler, T., and Kim, J. 2010. Analysis and Reduction of Systematic Errors through a Seamless Approach to Modelling Weather and Climate. J. Clim., 23, 5933-5957, doi:10.1175/2010JCLI3541.1.
68. Martin, G.M., Ringer, M.A., Pope, V.D., Jones, A., Dearden, C., and Hinton, T.J. 2006. The physical properties of the atmosphere in the new Hadley Centre Global Environment Model, HadGEM1. Part I: Model description and global climatology. J. Clim., 19, 1274-1301.
69. Martin, G.M., Bellouin, N., Collins, W.J., Culverwell, I.D., Halloran, P., Hardiman, S., Hinton, T.J., Jones, C.D., McLaren, A., O'Connor, F., Rodriguez, J., Woodward, S., et al. 2011. The HadGEM2 family of Met Office Unified Model climate configurations. Geosci. Model Dev. Discuss., 4, 723-757, doi:10.5194/gmd-4-723-2011.
70. Meehl, G.A., Stocker, T.F., Collins, W.D., Friedlingstein, P., Gaye, A.T., Gregory, J.M., Kitoh, A., Knutti, R., Murphy, J.M., Noda, A., Raper, S.C.B., Watterson, I.G., Weaver A.J., and Zhao. Z.-C. 2007. Global Climate Projections. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
71. Murray, R.J. 1996. Explicit generation of orthogonal grids for ocean models. J. Comput. Phys., 126, 251-273.
72. Pacanowski, R.C. and Gnanadesikan, A. 1998. Transient response in a z-level ocean model that resolves topography with partial-cells. Mon. Weather Rev., 126, 3248-3270.
73. Pincus R., Batstone, C.P., Patrick-Hofmann, R.J., Taylor, K.E., and Gleckler, P.E. 2008. Evaluating the present-day simulation of clouds, precipitation and radiation in climate models. J. Geophys. Res., 113, D14209, doi:10.1029/2007JD009334.
74. Pirazzini, R. 2008. Factors controlling the surface energy budget over snow and ice. Finnish Meteorolog. Inst. Contributions, 75, 1-55.
75. Puri, K., G. Dietachmayer, P. Steinle, M. Dix, L. Rikus, L. Logan, M. Naughton, C. Tingwell, Y Xiao, V. Barras, I. Bermous, R. Bowen, L. Deschamps, C. Franklin, J. Fraser, T. Glowacki, B. Harris, J. Lee, T. Le, G. Roff, A. Sulaiman, H. Sims, X. Sun, Z. Sun, H. Zhu, M. Chattopadhyay, C. Engel. 2013. Implementation of the initial ACCESS Numerical Weather Prediction system. Aust. Met. Oceanogr. J., in press.
76. Rashid, H.A., Hirst, A.C. and Dix, M. 2013a. Atmospheric circulation features in the ACCESS coupled model simulations for CMIP5: Historical simulation and future projections. Aust. Met. Oceanogr. J., 63, 145-160.
77. Rashid, H.A., Sullivan, A., Hirst, A.C., Bi, D., and Marsland, S.J. 2013b. Evaluation of El Nino-Southern Oscillation in the ACCESS coupled model simulations for CMIP5. Aust. Met. Oceanogr. J., 63, 161-180.
78. Rahmstorf, S. 1993. A fast and complete convection scheme for ocean models. Ocean Modelling, 101, 9-11.
79. Rayner, N.A., Parker, D.E., Horton, E.B., Folland, C.K., Alexander, L.V., Rowell, D.P., Kent, E.C. and Kaplan, A. 2003. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108, No. D14, 4407, doi:10.1029/2002JD002670.
80. Rossow, W.B. and Sciffer, R.A. 1999. Advances in understanding clouds from ISCCP. Bull. Am. Meteorol. Soc., 80, 2261-2287
81. Rossow, W.B. and Garner, L.C. 1993. Validation of ISCCP Cloud Dections. J. Clim., 6, 2370-2393.
82. Rotstayn, L.D., Jeffrey, S.J., Collier, M.A., Dravitzki, S.M., Hirst, A.C., Syktus, J.I., and Wong, K.K. 2012. Aerosol and greenhouse gas-induced changes in summer rainfall and circulation in the Australasian region: a study using single-forcing climate simulations. Atmos. Chem. Phys., 12, 6377-6404, doi:10.5194/acp-12-6377-2012.
83. Scaife, A.A., Butchart, N., Warner, C.D. and Swinbank, R. 2002. Impact of a spectral gravity wave parameterization on the stratosphere in the Met. Office Unified Model. Q. J. R. Meteorol. Soc., 59, 1473-1489.
84. Semtner, A.J. 1976. A model for the thermodynamic growth of sea ice in numerical investigations of climate. J. Phys. Oceanogr., 6, 379-389.
85. Sen Gupta, A., Muir, L.C., Brown, J.N., Phipps, S.J., Durack, P.J., Monselesen, D., and Wijffels, S.E. 2012. Climate drift in CMIP3 models. J. Clim., 25, 4621-4640.
86. Shonk, J.K.P. and Hogan, R.J. 2008. Tripleclouds: an efficient method for representing cloud inhomogeneity in 1D radiation schemes by using three regions at each height. J. Clim., 21, 2352-2370.
87. Smith, R.N.B. 1990. A scheme for predicting layer clouds and their water contents in a general circulation model. Q. J. R. Meteorol. Soc., 116, 435-460.
88. Smith, I. 2007. Global climate modelling within CSIRO: 1981 to 2006. Aust. Meteorol. Mag., 56, 153-166.
89. Stephens, G.L., Tsay, S.C., Stackhouse Jr, P.W., and Flatau, P. 1990. The relevance of the microphysical and radiative properties of cirrus clouds to climate and climate feedback. J. Atmos. Sci., 47, 1742-1753.
90. Stouffer, R.J. 2004. Time Scales of Climate Responses. J. Clim., 17, 209-217.
91. Sun, Z.C. Franklin, X. Zhou, Y. Ma, P. Okely, D. Bi, M. Dix, A.C. Hirst, J. K.P. Shonk, and K. Puri, 2013. Modifications in atmospheric physical parameterization for improving SST simulation in the ACCESS coupled model. Aust. Met. Oceanogr. J., 63, 233-247.
92. Taylor, K.E., Stouffer, R.J. and Meehl, G.A., 2009. A summary of the CMIP5 experiment design. PCDMI Rep., 33 pp. [http://cmip-pcmdi.llnl.gov/cmip5/ docs/Taylor-CMIP5-design.pdf]
93. Taylor, K.E., Stouffer, R.J., Meehl, G.A. 2012. An Overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1.
94. Trenberth, K.E., and Fasullo, J.T. 2010. Simulation of present day and 21st century energy budgets of the southern oceans. J. Clim., 23, 440-454, doi:10.1175/2009JCLI3152.1.
95. Uotila, P., O'Farrell, S., Marsland, S.J., and Bi, D. 2012. A sea ice sensitivity study with a global ocean-ice model. Ocean Modelling, 18, doi:http://dx.doi.org/10.1016/j.ocemod.2012.04.002.
96. Uotila, P., O'Farrell, S., Marsland, S.J., and Bi, D. 2013. The sea ice performance of the Australian models participating in the CMIP5. Aust. Met. Oceanogr. J., 63, 121-143.
97. Valcke, S. 2006. OASIS3 User Guide (prism 2-5). PRISM Support Initiative No 3, 68 pp.
98. Voldoire, A., Sanchez-Gomez, E., Salasy Mélia, D., Decharme, B., Cassou, C., Sénési, S., Valcke, S., Beau, I., Alias, A., Chevallier, M., Déqué, M., Deshayes, J., Douville, H., Fernandez, E., Madec, G., Maisonnave, E., Moine, M.P., Planton, S., Saint-Martin, D., Szopa, S., Tyteca, S., Alkama, R., Belamari, S., Braun, A., Coquart, L., and Chauvin, F. 2012. The CNRM-CM5.1 global climate model: description and basic evaluation. Clim. Dyn., DOI 10.1007/s00382-011-1259-y.
99. Wang, Y.P. and Leuning, R. 1998. A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy I. Model description and comparison with a multi-layered model. Agric. Forest Meteor., 91, 89-111.
100. Wang, Y.P., Kowalczyk, E.A., Leuning, R., Abramowitz, G., Raupach, M.R., Pak, B., van Gorsel, E. and Luhar, A. 2011. Diagnosing errors in a land surface model (CABLE) in the time and frequency domains. J. Geophys. Research-Biogeosciences, 116. G01034, doi:10.1029/2010JG001385.
101. Warner, C.D. and McIntyre, M.E. 2001. An Ultrasimple Spectral Parameterization for Nonorographic Gravity Waves. J. Atmos. Sci., 58, 1837-1857.
102. Watterson, I.G. 1996. Non-dimensional measures of climate model performance. Int. J. Climatol., 16, 379-391.
103. Watterson, I.W., Hirst, A.C. and Rotstayn, L.D. 2013. A skill-score based evaluation of simulated Australian climate. Aust. Met. Oceanogr. J., 63, 181-190.
104. Webster, S., Brown, A.R., Cameron, D.R. and Jones, C.P. 2003. Improvements to the representation of orography in the Met. Office Unified Model. Q. J. R. Meteorol. Soc., 129, 1989-2010.
105. Williams, D.N., Ananthakrishnan, R., Bernholdt, D.E., Bharathi, S., Brown, D., Chen, M., Chervenak, A.L., Cinquini, L., Drach, R., Foster, I.T., Fox, P., Fraser, D., Garcia, J., Hankin, S., Jones, P., Middleton, D.E., Schwidder, J., Schweitzer, R., Schuler, R., Shoshani, A., Siebenlist, F., Sim, A., Strand, W.G., Su, M., and Wilhelmi, N. 2009. The Earth System Grid - Enabling Access to Multimodel Climate Simulation Data. Bul. Am. Met. Soc., 90, 195-205.
106. Williams, K.D., Ringer, M.A., Senior, C.A., Webb, M.J., McAvaney, B.J., Andronova, N., Bony, S., Dufresne, J.L., Emori, S., and Gudgel, R. 2006. Evaluation of a component of the cloud response to climate change in an intercomparison of climate models. Clim. Dyn., 26, 145-165.
107. Wilson, D.R., Smith, R.N.B., Gregory, D., Wilson, C., Bushell, A.C. and Cusack, S. 2004. The Large-Scale Cloud Scheme and Saturated Specific Humidity. Unified Model Documentation Paper 26. Available from Met Office.
108. Wilson, D.R. and Ballard, S.P. 1999. A microphysically based precipitation scheme for the UK Meteorological Office Unified Model. Q. J. R. Meteorol. Soc, 125, 1607-1636
109. Wilson, D.R., Bushell, A.C., Kerr-Munslow, A.M., Price, J.D., and Morcrette, C.J. 2008. PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description, Q. J. R. Meteorol. Soc., 134, 2093-2107.
110. Wood, N., Diamantakis, M., Staniforth, A. 2007. A monotonically damping, second-order accurate, unconditionally stable, numerical scheme for diffusion An improved implicit predictor-corrector scheme for boundary layer vertical diffusion. Q. J. R. Meteorol. Soc. 133, 1559-1573.
111. Worby, A., Geiger, C.A., Paget, M.J., Van Woert, M.L., Ackley, S.F., and DeLiberty, T.L. 2008. Thickness distribution of Antarctic sea-ice. J. Geophys. Res., 617, 1-14, doi:10.1029/2007JC004254.
112. Wu, X.Q., Deng, L., Song, X., Zhang, G.J. 2007. Coupling of convective momentum transport with convective heating in global climate simulations. J. Atmos. Sci., 64, 1334-1349.
113. Yao, M.S., and Del Genio, A.D. 1999. Effects of cloud parameterization on the simulation of climate changes in the GISS GCM. J. Clim., 12, 761-779.
114. Yao, M.S. and Del Genio, A.D. 1999. Effects of cloud parameterization on the simulation of climate changes in the GISS GCM. J. Clim., 12, 761-779.
115. Zheng, X.T., Xie, S.P., Vecchi, G.A., Liu, Q. and Hafner, J. 2010. Indian Ocean dipoleresponse to global warming: Analysis of ocean-atmospheric feedbacks in a coupled model. J. Clim., 23, 1240-1253.