Studies of the aerosol indirect effect from sulfate and black carbon aerosols

[1] The indirect effect of anthropogenic aerosols is investigated using the global climate model National Center for Atmospheric Research Community Climate Model Version 3 (NCAR CCM3). Two types of anthropogenic aerosols are considered, i.e., sulfate and black carbon aerosols. The concentrations and horizontal distributions of these aerosols were obtained from simulations with a life-cycle model incorporated into the global climate model. They are then combined with size-segregated background aerosols. The aerosol size distributions are subjected to condensation, coagulation, and humidity swelling. By making assumptions on supersaturation, we determine cloud droplet number concentrations in water clouds. Cloud droplet sizes and top of atmosphere (TOA) radiative fluxes are in good agreement with satellite observations. Both components of the indirect effect, i.e., the radius and lifetime effects, are computed as pure forcing terms. Using aerosol data for 2000 from the Intergovernmental Panel on Climate Change (IPCC), we find, globally averaged, a 5% decrease in cloud droplet radius and a 5% increase in cloud water path due to anthropogenic aerosols. The largest changes are found over SE Asia, followed by the North Atlantic, Europe, and the eastern United States. This is also the case for the radiative forcing (“indirect effect”), which has a global average of −1.8 W m−2. When the experiment is repeated using data for 2100 from the IPCC A2 scenario, an unchanged globally averaged radiative forcing is found, but the horizontal distribution has been shifted toward the tropics. Sensitivity experiments show that the radius effect is ∼3 times as important as the lifetime effect and that black carbon only contributes marginally to the overall indirect effect.

[1]  L. Ruby Leung,et al.  Prediction of cloud droplet number in a general , 1997 .

[2]  A Lacis,et al.  Climate forcings in the industrial era. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Pasi Aalto,et al.  Aerosol number size distributions from 3 to 500 nm diameter in the arctic marine boundary layer during summer and autumn , 1996 .

[4]  Ulrike Lohmann,et al.  Erratum: ``Prediction of the number of cloud droplets in the ECHAM GCM'' , 1999 .

[5]  Olivier Boucher,et al.  The sulfate‐CCN‐cloud albedo effect , 1995 .

[6]  J. Houghton,et al.  Climate change : the IPCC scientific assessment , 1990 .

[7]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[8]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1997 .

[9]  C. O'Dowd,et al.  The relative importance of non‐sea‐salt sulphate and sea‐salt aerosol to the marine cloud condensation nuclei population: An improved multi‐component aerosol‐cloud droplet parametrization , 1999 .

[10]  P. J. Rasch,et al.  Radiative forcing due to sulfate aerosols from simulations with the National Center for Atmospheric Research Community Climate Model, Version 3 , 2000 .

[11]  Peter V. Hobbs,et al.  Aerosol-cloud interactions , 1993 .

[12]  S. Ghan,et al.  Competition between Sea Salt and Sulfate Particles as Cloud Condensation Nuclei , 1998 .

[13]  Philip J. Rasch,et al.  A Comparison of the CCM3 Model Climate Using Diagnosed and Predicted Condensate Parameterizations , 1998 .

[14]  Leon D. Rotstayn,et al.  Indirect Aerosol Forcing, Quasi Forcing, and Climate Response , 2001 .

[15]  S. Levitus,et al.  Warming of the World Ocean , 2000 .

[16]  A. Kirkevåg,et al.  On radiative effects of black carbon and sulphate aerosols , 1999 .

[17]  S. Twomey The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[18]  H. Treut,et al.  Precipitation and radiation modeling in a general circulation model: Introduction of cloud microphysical processes , 1995 .

[19]  K. Noone,et al.  A physically-based algorithm for estimating the relationship between aerosol mass and cloud droplet number , 2000 .

[20]  Variability in concentrations of cloud condensation nuclei in the marine cloud–topped boundary layer , 1993 .

[21]  A. Lacis,et al.  Near-Global Survey of Effective Droplet Radii in Liquid Water Clouds Using ISCCP Data. , 1994 .

[22]  Mark New,et al.  Surface air temperature and its changes over the past 150 years , 1999 .

[23]  V. Ramanathan,et al.  Reduction of tropical cloudiness by soot , 2000, Science.

[24]  K. Liou,et al.  The role of cloud microphysical processes in climate: an assessment from a one-dimensional perspective , 1989 .

[25]  James J. Hack,et al.  Response of Climate Simulation to a New Convective Parameterization in the National Center for Atmospheric Research Community Climate Model (CCM3) , 1998 .

[26]  A scheme for black carbon and sulphate aerosols tested in a hemispheric scale, Eulerian dispersion model , 1999 .

[27]  Leon D. Rotstayn,et al.  On the “tuning” of autoconversion parameterizations in climate models , 2000 .

[28]  J. Hudson,et al.  Droplet Spectral Broadening in Marine Stratus , 1997 .

[29]  L. Delobbe Simulation of marine stratocumulus: effect of precipitation parameterization and sensitivity to droplet number concentration , 1998, Boundary-Layer Meteorology.

[30]  Joyce E. Penner,et al.  Indirect effect of sulfate and carbonaceous aerosols: A mechanistic treatment , 2000 .

[31]  Ulrike Lohmann,et al.  Can the direct and semi‐direct aerosol effect compete with the indirect effect on a global scale? , 2001 .

[32]  Eric P. Shettle,et al.  Atmospheric Aerosols: Global Climatology and Radiative Characteristics , 1991 .

[33]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[34]  J. Klett,et al.  Microphysics of Clouds and Precipitation , 1978, Nature.

[35]  David Rind,et al.  Climate Forcing by Changing Solar Radiation , 1998 .

[36]  J. M. Gregory,et al.  Climate response to increasing levels of greenhouse gases and sulphate aerosols , 1995, Nature.

[37]  Robert J. Charlson,et al.  Perturbation of the northern hemisphere radiative balance by backscattering from anthropogenic sulfate aerosols , 1991 .

[38]  D. W. Johnson,et al.  The Measurement and Parameterization of Effective Radius of Droplets in Warm Stratocumulus Clouds , 1994 .

[39]  A. Slingo,et al.  Predicting cloud‐droplet effective radius and indirect sulphate aerosol forcing using a general circulation model , 1996 .

[40]  P. J. Rasch,et al.  Sulfur chemistry in the National Center for Atmospheric Research Community Climate Model: Description, evaluation, features, and sensitivity to aqueous chemistry , 2000 .

[41]  B. Huebert,et al.  Uncertainties in data on organic aerosols , 2000 .

[42]  Leon D. Rotstayn,et al.  Indirect forcing by anthropogenic aerosols: A global climate model calculation of the effective‐radius and cloud‐lifetime effects , 1999 .

[43]  David L. Mitchell,et al.  Impact of a new scheme for optical properties of ice crystals on climates of two GCMs , 2000 .

[44]  P. Gent,et al.  The NCAR Climate System Model, Version One* , 1998 .