HR: 10:20h
AN: A42B-01 [Abstracts]
TI: Aerosol Indirect Climatic Effect Assessments using the NASA Global Modeling Initiative
AU: * Meskhidze, N
EM: nmeskhidze@eas.gatech.edu
AF: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332
United States
AU: Nenes, A
EM: nenes@eas.gatech.edu
AF: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332
United States
AU: Nenes, A
EM: nenes@eas.gatech.edu
AF: Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332
United States
AB:
Aerosol-cloud-radiation interaction (the aerosol "indirect effect") remains a major uncertainty in assessments of
anthropogenic climate change. Incomplete characterization of chemical complexity and heterogeneity of the aerosols that act
as CCN and the wide range of length scales involved in cloud droplet formation process are major limitations in current GCM
indirect effect assessments. Because of its computational burden, treatments of aerosol-cloud interactions in GCMs mainly
rely on parameterizations. In this work we present anthropogenic indirect forcing calculations obtained from NASA Global
Modeling Initiative (GMI) three-dimensional (3-D) model. Simulations were repeated using a variety of aerosol-cloud
parameterizations, ranging from empirical relationships between cloud droplet number concentration and total aerosol mass
[Boucher and Lohmann, 1995], up to current state-of-the art physically-based aerosol activation parameterization [Nenes and
Seinfeld, 2003; Fountoukis and Nenes, 2005]. We have also evaluated the forcing sensitivity to different met fields and trace
gas emission datasets.
Boucher, O., and U. Lohmann (1995), The sulfate-CCN-cloud albedo effect-A sensitivity study with 2 general-circulation
models, Tellus, Ser. B, 47, 281- 300.
Fountoukis, C., and A. Nenes (2005), Continued development of a cloud droplet formation parameterization for global climate
models, J. Geophys. Res., 110, D11212, doi:10.1029/2004JD005591.
Nenes, A., and J. H. Seinfeld (2003), Parameterization of cloud droplet formation in global climate models, J. Geophys. Res.,
108, 4415, doi:10.1029/2002JD002911.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1626 Global climate models (3337, 4928)
DE: 3310 Clouds and cloud feedbacks
DE: 3311 Clouds and aerosols
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005