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• W2148221736 startingPage "947" @default.
• W2148221736 abstract "Abstract. Aerosol indirect effects are considered to be the most uncertain yet important anthropogenic forcing of climate change. The goal of the present study is to reduce this uncertainty by constraining two different general circulation models (LMDZ and ECHAM4) with satellite data. We build a statistical relationship between cloud droplet number concentration and the optical depth of the fine aerosol mode as a measure of the aerosol indirect effect using MODerate Resolution Imaging Spectroradiometer (MODIS) satellite data, and constrain the model parameterizations to match this relationship. We include here empirical formulations for the cloud albedo effect as well as parameterizations of the cloud lifetime effect. When fitting the model parameterizations to the satellite data, consistently in both models, the radiative forcing by the combined aerosol indirect effect is reduced considerably, down to −0.5 and −0.3 Wm−2, for LMDZ and ECHAM4, respectively." @default.
• W2148221736 created "2016-06-24" @default.
• W2148221736 creator A5053411542 @default.
• W2148221736 creator A5061817739 @default.
• W2148221736 creator A5077051671 @default.
• W2148221736 date "2006-03-27" @default.
• W2148221736 modified "2023-10-13" @default.
• W2148221736 title "Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data" @default.
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• W2148221736 doi "https://doi.org/10.5194/acp-6-947-2006" @default.
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