Journal Article10.1029/JD095ID10P16601
Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models
R. D. Cess,Gerald L. Potter,J. P. Blanchet,George J. Boer,A. D. Del Genio,Michel Déqué,V. P. Dymnikov,V. Galin,W. L. Gates,Steven J. Ghan,Jeffrey T. Kiehl,Andrew A. Lacis,H. Le Treut,Z. X. Li,Xin-Zhong Liang,B. J. McAvaney,V. P. Meleshko,John F. B. Mitchell,Jean-Jacques Morcrette,David A. Randall,L. Rikus,Erich Roeckner,Jean-François Royer,U. Schlese,D. A. Sheinin,A. Slingo,A. P. Sokolov,Karl E. Taylor,Warren M. Washington,R. T. Wetherald,I. Yagai,Minghua Zhang +31 more
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TL;DR: In this paper, the authors provided an intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models and found that a roughly threefold variation in one measure of global climate sensitivity was found among the 19 models.
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Abstract: The present study provides an intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. This intercomparison uses sea surface temperature change as a surrogate for climate change. The interpretation of cloud-climate interactions is given special attention. A roughly threefold variation in one measure of global climate sensitivity is found among the 19 models. The important conclusion is that most of this variation is attributable to differences in the models' depiction of cloud feedback, a result that emphasizes the need for improvements in the treatment of clouds in these models if they are ultimately to be used as reliable climate predictors. It is further emphazied that cloud feedback is the consequence of all interacting physical and dynamical processes in a general circulation model. The result of these processes is to produce changes in temperature, moisture distribution, and clouds which are integrated into the radiative response termed cloud feedback.
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