A smaller global estimate of the second indirect aerosol effect

Geophysical Research Letters

Volumn 32, Issue 5, 2005, Pages 1-4

  Rotstayn, Leon D ^a   Liu, Yangang ^b  

^a CSIRO   (Australia)

^b BROOKHAVEN NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; CLOUDS; MATHEMATICAL MODELS;

AEROSOL EFFECT; AUTOCONVERSION; CLIMATE MODELS; CLOUD DROPLETS;

AEROSOLS;

AEROSOL; CLIMATE MODELING; RADIATIVE FORCING;

EID: 16444371627     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004GL021922     Document Type: Article

References (29)

1. Anderson, T. L., R. J. Charlson, S. E. Schwartz, R. Knutti, O. Boucher, H. Rodhe, and J. Heintzenberg (2003), Climate forcing by aerosols - A hazy picture, Science, 300, 1103-1104.
2. Austin, P., Y. Wang, R. Pincus, and V. Kujala (1995), Precipitation in stratocumulus clouds: Observational and modeling results, J. Atmos. Sci., 52, 2329-2352.
3. Baker, M. B. (1993), Variability in concentrations of cloud condensation nuclei in the marine cloud-topped boundary layer, Tellus, Ser. B, 45, 458-472.
4. Beard, K. V., and H. T. Ochs III (1993), Warm-rain initiation: An overview of microphysical mechanisms, J. Appl. Meteorol., 32, 608-625.
5. Boucher, O., H. Le Treut, and M. B. Baker (1995), Precipitation and radiation modelling in a GCM: Introduction of cloud microphysical processes, J. Geophys. Res., 100, 16,395-16,414.
6. Cooke, W. F., and J. J. N. Wilson (1996), A global black carbon aerosol model, J. Geophys. Res., 101, 19,395-19,409.
7. Delobbe, L., and H. Gallée (1998), Simulation of marine stratocumulus: Effect of precipitation parameterization and sensitivity to droplet number concentration, Boundary Layer Meteorol., 89, 75-107.
8. Ghan, S., et al. (2001), A physically based estimate of radiative forcing by anthropogenic sulfate aerosol, J. Geophys. Res., 106, 5279-5293.
9. Gordon, H. B., et al. (2002), The CSIRO Mk3 climate system model, Tech. Pap. 60, Atmos. Res., Commonw. Sci. and Ind. Res. Org., Aspendale, Victoria, Australia.
10. Han, Q., W. B. Rossow, J. Zeng, and R. Welch (2002), Three different behaviors of liquid water path of water clouds in aerosol-cloud interactions, J. Atmos. Sci., 59, 726-735.
11. Intergovernmental Panel on Climate Change (IPCC) (2001a), Climate Change 2001: The Scientific Basis: Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), edited by J. T. Houghton et al., Cambridge Univ. Press, New York.
12. Intergovernmental Panel on Climate Change (IPCC) (2001b), Aerosols, their direct and indirect effects, in Climate Change 2001: The Scientific Basis: Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), edited by J. T. Houghton et al., pp. 289-348, Cambridge Univ. Press, New York.
13. Jones, A., D. L. Roberts, M. J. Woodage, and C. E. Johnson (2001), Indirect sulphate aerosol forcing in a climate model with an interactive sulfur cycle, J. Geophys. Res., 106, 20,293-20,310.
14. Khairoutdinov, M., and Y. Kogan (2000), A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus, Mon. Weather Rev., 128, 229-243.
15. Kristjánsson, J. E. (2002), Studies of the aerosol indirect effect from sulfate and black carbon aerosols, J. Geophys. Res., 107 (D15), 4246, doi:10.1029/2001JD000887.
16. Liu, Y. G., and P. H. Daum (2002), Indirect warming effect from dispersion forcing, Nature, 419, 580-581.
17. Liu, Y., and P. H. Daum (2004), Parameterization of the autoconversion process. Part I: Analytical formulation of the Kessler-type parameterizations, J. Atmos. Sci., 61, 1539-1548.
18. Liu, Y., P. H. Daum, and R. McGraw (2004), An analytical expression for predicting the critical radius in the autoconversion parameterization, Geophys. Res. Lett., 31, L06121, doi:10.1029/2003GL019117.
19. Lohmann, U., and J. Feichter (2001), Can the direct and semi-direct aerosol effect compete with the indirect effect on a global scale?, Geophys. Res. Lett., 28, 159-161.
20. Lohmann, U., and G. Lesins (2002), Stronger constraints on the anthropogenic indirect aerosol effect, Science, 298, 1012-1015.
21. Menon, S., A. D. Del Genio, D. Koch, and G. Tselioudis (2002), GCM simulations of the aerosol indirect effect: Sensitivity to cloud parameterization and aerosol burden, J. Atmos. Sci., 59, 692-713.
22. Menon, S., et al. (2003), Evaluating aerosol/cloud/radiation process parameterizations with single-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations, J. Geophys. Res., 108, 4762, doi:10.1029/2003JD003902.
23. O'Dowd, C. D., M. H. Smith, I. E. Consterdine, and J. A. Lowe (1997), Marine aerosol, sea-salt, and the marine sulphur cycle: A short review, Atmos. Environ., 31, 73-80.
24. Peng, Y., and U. Lohmann (2003), Sensitivity study of the spectral dispersion of the cloud droplet size distribution on the indirect aerosol effect, Geophys. Res. Lett., 30(10), 1507, doi:10.1029/ 2003GL017192.
25. Rotstayn, L. D. (1997), A physically based scheme for the treatment of stratiform clouds and precipitation in large-scale models: I. Description, and evaluation of the microphysical processes, Q. J. R. Meteorol. Soc., 123, 1227-1282.
26. Rotstayn, L. D. (2000), On the "tuning" of autoconversion parameterizations in climate models, J. Geophys. Res., 105, 15,495-15,507.
27. Rotstayn, L. D., and Y. Liu (2003), Sensitivity of the first indirect aerosol effect to an increase of cloud droplet spectral dispersion with droplet number concentration, J. Clim., 16, 3476-3481.
28. Rotstayn, L. D., and U. Lohmann (2002), Simulation of the tropospheric sulfur cycle in a global model with a physically based cloud scheme, J. Geophys. Res., 107(D21), 4592, doi:10.1029/2002JD002128.
29. Suzuki, K., T. Nakajima, A. Numaguti, T. Takemura, K. Kawamoto, and A. Higurashi (2004), A study of the aerosol effect on a cloud field with simultaneous use of GCM modeling and satellite observation, J. Atmos. Sci., 61, 179-194.