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Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data

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Quaas,  J.
The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;
Emmy Noether Junior Research Group Cloud-Climate Feedbacks, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37246

Lohmann,  U.
The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

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Citation

Quaas, J., Boucher, O., & Lohmann, U. (2006). Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data. Atmospheric Chemistry and Physics, 6, 947-955. Retrieved from http://www.copernicus.org/EGU/acp/acp/6/947.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0011-FCBC-D
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.