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 −0.3Wm−2, for LMDZ and ECHAM4, respectively.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:15-qucosa-186142 |
| Date | 29 October 2015 |
| Creators | Quaas, Johannes, Boucher, Olivier, Lohmann, Ulrike |
| Contributors | Max-Planck-Institut für Meteorologie,, Université des Sciences et Technologies de Lille, Laboratoire d’Optique Atmosphérique, Hadley Centre, Met Office, Eidgenössische Technische Hochschule Zürich, Institute for Atmospheric and Climate Science, Copernicus Publications, |
| Publisher | Universitätsbibliothek Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:article |
| Format | application/pdf |
| Source | Atmospheric chemistry and physics (2006) 6, S. 947-955 |
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