Climate Feedbacks in CCSM3 under Changing CO2 Forcing. Part II: Variation of Climate Feedbacks and Sensitivity with Forcing

Alexandra K. Jonko Oregon State University, Corvallis, Oregon

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Karen M. Shell Oregon State University, Corvallis, Oregon

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Benjamin M. Sanderson National Center for Atmospheric Research,* Boulder, Colorado

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Gokhan Danabasoglu National Center for Atmospheric Research,* Boulder, Colorado

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Abstract

Are equilibrium climate sensitivity and the associated radiative feedbacks a constant property of the climate system, or do they change with forcing magnitude and base climate? Using the radiative kernel technique, feedbacks and climate sensitivity are evaluated in a fully coupled general circulation model (GCM) for three successive doublings of carbon dioxide starting from present-day concentrations. Climate sensitivity increases by 23% between the first and third CO2 doublings. Increases in the positive water vapor and cloud feedbacks are partially balanced by a decrease in the positive surface albedo feedback and an increase in the negative lapse rate feedback. Feedbacks can be decomposed into a radiative flux change and a climate variable response to temperature change. The changes in water vapor and Planck feedbacks are due largely to changes in the radiative response with climate state. Higher concentrations of greenhouse gases and higher temperatures lead to more absorption and emission of longwave radiation. Changes in cloud feedbacks are dominated by the climate response to temperature change, while the lapse rate and albedo feedbacks combine elements of both. Simulations with a slab ocean model (SOM) version of the GCM are used to verify whether an SOM-GCM accurately reproduces the behavior of the fully coupled model. Although feedbacks differ in magnitude between model configurations (with differences as large as those between CO2 doublings for some feedbacks), changes in feedbacks between CO2 doublings are consistent in sign and magnitude in the SOM-GCM and the fully coupled model.

The National Center for Atmospheric Research is sponsored by the National Science Foundation.

Corresponding author address: Alexandra K. Jonko, College of Earth, Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Admin. Bldg., Corvallis, OR 97331-5503. E-mail: ajonko@coas.oregonstate.edu

Abstract

Are equilibrium climate sensitivity and the associated radiative feedbacks a constant property of the climate system, or do they change with forcing magnitude and base climate? Using the radiative kernel technique, feedbacks and climate sensitivity are evaluated in a fully coupled general circulation model (GCM) for three successive doublings of carbon dioxide starting from present-day concentrations. Climate sensitivity increases by 23% between the first and third CO2 doublings. Increases in the positive water vapor and cloud feedbacks are partially balanced by a decrease in the positive surface albedo feedback and an increase in the negative lapse rate feedback. Feedbacks can be decomposed into a radiative flux change and a climate variable response to temperature change. The changes in water vapor and Planck feedbacks are due largely to changes in the radiative response with climate state. Higher concentrations of greenhouse gases and higher temperatures lead to more absorption and emission of longwave radiation. Changes in cloud feedbacks are dominated by the climate response to temperature change, while the lapse rate and albedo feedbacks combine elements of both. Simulations with a slab ocean model (SOM) version of the GCM are used to verify whether an SOM-GCM accurately reproduces the behavior of the fully coupled model. Although feedbacks differ in magnitude between model configurations (with differences as large as those between CO2 doublings for some feedbacks), changes in feedbacks between CO2 doublings are consistent in sign and magnitude in the SOM-GCM and the fully coupled model.

The National Center for Atmospheric Research is sponsored by the National Science Foundation.

Corresponding author address: Alexandra K. Jonko, College of Earth, Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Admin. Bldg., Corvallis, OR 97331-5503. E-mail: ajonko@coas.oregonstate.edu
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  • Andrews, T., J. Gregory, M. Webb, and K. Taylor, 2012: Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere–ocean models. Geophys. Res. Lett.,39, L09712, doi:10.1029/2012GL051607.

  • Boer, G., and B. Yu, 2003: Climate sensitivity and response. Climate Dyn., 20, 415–429.

  • Boer, G., K. Hamilton, and W. Zhu, 2005: Climate sensitivity and climate change under strong forcing. Climate Dyn., 24, 685–700.

  • Cess, R., and G. Potter, 1987: Exploratory studies of cloud radiative forcing with a general circulation model. Tellus, 39, 460–473.

    • Search Google Scholar
    • Export Citation
  • Chen, C., and V. Ramaswamy, 1996: Sensitivity of simulated global climate perturbations in low cloud microphysical properties. Part I: Globally uniform perturbations. J. Climate, 9, 1385–1402.

    • Search Google Scholar
    • Export Citation
  • Colman, R., and B. McAvaney, 2009: Climate feedbacks under a very broad range of forcing. Geophys. Res. Lett.,36, L01702, doi:10.1029/2008GL036268.

  • Danabasoglu, G., 2004: A comparison of global ocean general circulation model simulations obtained with synchronous and accelerated integration methods. Ocean Modell., 7, 323–341.

    • Search Google Scholar
    • Export Citation
  • Danabasoglu, G., and P. Gent, 2009: Equilibrium climate sensitivity: Is it accurate to use a slab ocean model? J. Climate, 22, 2494–2499.

    • Search Google Scholar
    • Export Citation
  • Forster, P., M. Blackburn, R. Glover, and K. Shine, 2000: An examination of climate sensitivity for idealised climate change experiments in an intermediate general circulation model. Climate Dyn., 16, 833–849.

    • Search Google Scholar
    • Export Citation
  • Gregory, J., and Coauthors, 2004: A new method of diagnosing radiative forcing and climate sensitivity. Geophys. Res. Lett.,31, L03205, doi:10.1029/2003GL018747.

  • Hansen, J., and Coauthors, 2005: Efficacy of climate forcings. J. Geophys. Res.,110, D18104, doi:10.1029/2005JD005776.

  • Jonko, A., K. Shell, B. Sanderson, and G. Danabasoglu, 2012: Climate feedbacks in CCSM3 under changing CO2 forcing. Part I: Adapting the linear radiative kernel technique to feedback calculations for a broad range of forcings. J. Climate, 25, 5260–5272.

    • Search Google Scholar
    • Export Citation
  • Raval, A., and V. Ramanathan, 1989: Observational determination of the greenhouse effect. Nature, 342, 758–761.

  • Russell, G. L., J. R. Miller, and D. Rind, 1995: A coupled atmosphere–ocean model for transient climate change. Atmos.–Ocean, 33, 683–730.

    • Search Google Scholar
    • Export Citation
  • Sanderson, B., and K. Shell, 2012: Model-specific radiative kernels for calculating cloud and noncloud climate feedbacks. J. Climate, 25, 7607–7624.

    • Search Google Scholar
    • Export Citation
  • Shell, K., J. Kiehl, and C. Shields, 2008: Using the radiative kernel technique to calculate climate feedbacks in NCAR’s Community Atmospheric Model. J. Climate, 21, 2269–2282.

    • Search Google Scholar
    • Export Citation
  • Soden, B., A. Broccoli, and R. Hemler, 2004: On the use of cloud forcing to estimate cloud feedback. J. Climate, 17, 3661–3665.

  • Soden, B., I. Held, R. Colman, K. Shell, J. Kiehl, and C. Shields, 2008: Quantifying climate feedbacks using radiative kernels. J. Climate, 21, 3504–3520.

    • Search Google Scholar
    • Export Citation
  • Stouffer, R., 2004: Time scales of climate response. J. Climate, 17, 209–217.

  • von Storch, H., and F. Zwiers, 1988: Recurrence analysis of climate sensitivity experiments. J. Climate, 1, 157–171.

  • Wetherald, R., and S. Manabe, 1988: Cloud feedback processes in a general circulation model. J. Atmos. Sci., 45, 1397–1416.

  • Yeager, S., C. Shields, W. Large, and J. Hack, 2006: The low-resolution CCSM3. J. Climate, 19, 2545–2566.

  • Zelinka, M., S. Klein, and D. Hartmann, 2012: Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels. J. Climate, 25, 3715–3735.

    • Search Google Scholar
    • Export Citation
  • Zhang, M., J. Hack, J. Kiehl, and R. Cess, 1994: Diagnostic study of climate feedback processes in atmospheric general circulation models. J. Geophys. Res., 99, 5525–5537.

    • Search Google Scholar
    • Export Citation
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