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Snow and cloud feedbacks modelled by an atmospheric general circulation model

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Abstract

One of the most important parametrizations in general circulation models used for climate change experiments is that of the surface albedo. The results of an albedo feedback experiment carried out under the auspices of the US Department of Energy are presented. An analysis of long and short wave components of the model response shows that short wave response dominates changes in fixed to variable albedo experiments, but that long wave response dominates in clear to cloudy sky changes. Cloud distribution changes are also discussed and are related to changes in global sensitivity. At the surface, the heat balance change for perturbed sea surface temperatures is dominated by changes in latent heat flux and downward long wave radiation. If albedo is freed up however, the major contrast lies in the change in surface reflected short wave radiation, amplified by changes in downward short wave radiation caused by cloud amount changes.

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References

  • Cess RD, Potter GL, Blanchet JP, Boer GJ, Ghan SJ, Hansen J, Kiehl JT, Le Treut H, Li Z-X, Liang X-Z, McAvaney BJ, Meleshko VP, Mitchell JFB, Morcrette J-J, Randall DA, Rikus LJ, Roeckner E, Schlese U, Sheinin DA, Slingo A, Sokolov AP, Taylor KE, Washington WM, Wetherald RT, Yagai I (1990) Intercomparison and interpretation of cloud-climate feedback processes in nineteen atmospheric general circulation models. J Geophys Res 95:16601–16615

    Google Scholar 

  • Cess RD, Potter GL, Blanchet JP, Boer GJ, Colman RA, Ghan SJ, Hansen J, Kiehl JT, Le Treut H, Li Z-X, Liang X-Z, McAvaney BJ, Meleshko VP, Mitchell JFB, Morcrette J-J, Randall DA, Rikus LJ, Roeckner E, Schlese U, Sheinin DA, Slingo A, Sokolov AP, Taylor KE, Washington WM, Wetherald RT, Yagai I (1991) Intercomparison and interpretation of snow-climate feedback processes in seventeen atmospheric general circulation models. Science 253:888–892

    Google Scholar 

  • Hart TL, Gay MJ, Bourke WP (1988) Sensitivity studies with the physical parameterisations in the BMRC global atmospheric spectral model. Aust Meteorol Mag 36:47–60

    Google Scholar 

  • Hart TL, Bourke WP, McAvaney BJ, Forgan BW, McGregor JL (1990) Atmospheric general circulation simulations with the BMRC global spectral model: the impact of revised physical parameterisations. J Clim 3:436–459

    Google Scholar 

  • Hummel JR, Reck RA (1979) A global surface albedo model. J Appl Meteorol 18:239–253

    Google Scholar 

  • Payne RE (1972) Albedo of the sea surface. J Atmos Sci 29:959–970

    Google Scholar 

  • Petzold DE (1977) An estimation technique for snow surface albedo. Clim Bull 21:1–11

    Google Scholar 

  • Potter GL, Slingo JM, Morcette J, Mobley RL, Drach RS, Corsett TG, Williams DN (1990) Cloud forcing: a modelling perspective. Proc ECMWF/WCRF workshop: ‘Clouds, radiative transfer and the hydrological cycle’ Nov 1990, pp 341–372

  • Ramanathan V (1981) The role of ocean-atmosphere interactions in the CO2 climate problem. J Atmos Sci 38:918–930

    Google Scholar 

  • Ramanathan V, Cess RD, Harrison EF, Minnis P, Barkstrom BR, Ahmad E, Hartmann D (1989) Cloud-radiative forcing and climate: results from the earth radiation budget experiment. Science 243:57–63

    Google Scholar 

  • Randall DA, Cess RD, Potter GL, Blanchet JP, Boer GJ, Ghan SJ, Hansen J, Kiehl JT, Le Trent H, Li Z-X, Liang X-Z, McAvaney BJ, Meleshko VP, Mitchell JFB, Morcrette J-J, Rikus LJ, Roeckner E, Schlese U, Sheinin DA, Slingo A, Sokolov AP, Taylor KE, Washington WM, Wetherald RT, Yagai I (1992) Intercomparison and interpretation of surface fluxes in nineteen atmospheric general circulation models. J Geophys Res 97:3711–3724

    Google Scholar 

  • Schubert S, Park CK, Higgins W, Moorthi S, Suarez M (1990) An atlas of ECMWF analyses (1980–1987). NASA Technical Mem #100747 and #100762

  • Slingo A, Slingo JM (1988) The response of a GCM to cloud LW radiative forcing. I: Introduction and initial experiments. Q J R Meteorol Soc 114:1027–1062

    Google Scholar 

  • Wetherald RT, Manabe S (1988) Cloud feedback processes in a GCM. J Atmos Sci 45:1397–1414

    Google Scholar 

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Authors and Affiliations

  1. Bureau of Meteorology Research Centre, 3001, Melbourne, Victoria, Australia

    R A Colman, B J McAvaney, J R Fraser, L J Rikus & R R Dahni

Authors
  1. R A Colman
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  2. B J McAvaney
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  3. J R Fraser
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  4. L J Rikus
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  5. R R Dahni
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Colman, R.A., McAvaney, B.J., Fraser, J.R. et al. Snow and cloud feedbacks modelled by an atmospheric general circulation model. Climate Dynamics 9, 253–265 (1994). https://doi.org/10.1007/BF00208257

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  • DOI: https://doi.org/10.1007/BF00208257

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