Climate sensitivity to cloud optical properties

Article English OPEN
HU, Y. ; STAMNES, K. (2011)
  • Publisher: Tellus B
  • Journal: Tellus B (issn: 1600-0889, eissn: 0280-6509)
  • Related identifiers: doi: 10.3402/tellusb.v52i1.16084
  • Subject:
    arxiv: Astrophysics::Galaxy Astrophysics | Physics::Atmospheric and Oceanic Physics | Astrophysics::Earth and Planetary Astrophysics

A radiative–convective model was developed to investigate the sensitivity of climate to cloud optical properties and the related feedback processes. This model demonstrates that the Earth's surface temperature increases with cloud optical depth when the clouds are very thin but decreases with cloud optical depth when the cloud shortwave (solar) radiative forcing is larger than the cloud longwave (terrestrial) radiative forcing. When clouds are included in the model, the magnitude of the greenhouse effect due to a doubling of the CO2 concentration varies with the cloudoptical depth: the thicker the clouds, the weaker the greenhouse warming. In addition, a small variation in the cloud droplet size has a larger impact on the equilibrium state temperature in the lower atmosphere than the warming caused by a doubling of the CO2 concentration: a 2% increase in the average cloud droplet size per degree increase in temperature doubles the warming caused by the doubling of the CO2 concentration. These findings suggest that physically reliable correlations between the cloud droplet size and macrophysical meteorological variables such as temperature, wind and water vapor fields are needed on a global climate scale to assess the climate impact of increases in greenhouse gases.DOI: 10.1034/j.1600-0889.2000.00993.x
  • References (43)
    43 references, page 1 of 5

    Albrecht, B. A. 1989. Aerosols, cloud microphysics and fractional cloudiness. Science 245, 1227-1230.

    Betts, A. K. and Harshvardhan, 1987. Thermodynamic constraint on the cloud liquid water feedback in climate models. J. Geophys. Res. 92, 8483-8485.

    Cess, R. D. and Vulis, I. L. 1989. Inferring surface solar absorption from broadband satellite measurements. J. Climate 2, 974-985.

    Cess, R. D. et al. 1989. Interpretation of cloud-climate feedback as produced by 14 atmospheric general circulation models. Science 245, 513-516.

    Cess, R. D., Dutton, E. G., Deluisi, J. J. and Jiang, F. 1991. Determining surface solar absorption from broadband satellite measurements for clear skies: comparison with surface measurements. J. Climate 4, 236-247.

    Cess, R. D., Harrison, E. F., Minnis, P., Barkstrom, B. R., Ramanathan, V. and Kwon, T. Y. 1992. Interpretation of seasonal cloud-climate interactions using ERBE data. J. Geophys. Res. 97, 7613-7617.

    Charlock, T. P. 1982. Cloud optical feedback and climate stability in a radiative-convective model. T ellus 34, 245-254.

    Charlson, R. J., Lovelock, J. E., Andreae, M. O. and Warren, S. G. 1987. Oceanic phytoplankton, atmospheric sulfur, cloud albedo and climate. Nature 326, 655-661.

    Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E. and Hofmann, D. J. 1992. Climate forcing by anthropogenic aerosols. Science 255, 423-430.

    Chertock, B., Frouin, R. and Somerville, R. C. J. 1991. Global monitoring of net solar irradiance at the ocean surface. J. Climate 4, 639-650.

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