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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 4 | Copyright
Atmos. Chem. Phys., 6, 947-955, 2006
https://doi.org/10.5194/acp-6-947-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  27 Mar 2006

27 Mar 2006

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

J. Quaas1,3, O. Boucher2,3, and U. Lohmann4 J. Quaas et al.
  • 1Max Planck Institute for Meteorology, Hamburg, Germany
  • 2Laboratoire d’Optique Atmosphérique, CNRS/Université des Sciences et Technologies de Lille, Villeneuve d’Ascq, France
  • 3Hadley Centre, Met Office, Exeter, UK
  • 4Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland

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.

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