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lmd_Bony2004.bib

@comment{{This file has been generated by bib2bib 1.95}}
@comment{{Command line: /usr/bin/bib2bib --quiet -c 'not journal:"Discussions"' -c 'not journal:"Polymer Science"' -c '  author:"Bony"  ' -c year=2004 -c $type="ARTICLE" -oc lmd_Bony2004.txt -ob lmd_Bony2004.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2004ClDy...22...71B,
  author = {{Bony}, S. and {Dufresne}, J.-L. and {Le Treut}, H. and {Morcrette}, J.-J. and 
	{Senior}, C.},
  title = {{On dynamic and thermodynamic components of cloud changes}},
  journal = {Climate Dynamics},
  year = 2004,
  volume = 22,
  pages = {71-86},
  abstract = {{Clouds are sensitive to changes in both the large-scale circulation and
the thermodynamic structure of the atmosphere. In the tropics,
temperature changes that occur on seasonal to decadal time scales are
often associated with circulation changes. Therefore, it is difficult to
determine the part of cloud variations that results from a change in the
dynamics from the part that may result from the temperature change
itself. This study proposes a simple framework to unravel the dynamic
and non-dynamic (referred to as thermodynamic) components of the cloud
response to climate variations. It is used to analyze the contrasted
response, to a prescribed ocean warming, of the tropically-averaged
cloud radiative forcing (CRF) simulated by the ECMWF, LMD and UKMO
climate models. In each model, the dynamic component largely dominates
the CRF response at the regional scale, but this is the thermodynamic
component that explains most of the average CRF response to the imposed
perturbation. It is shown that this component strongly depends on the
behaviour of the low-level clouds that occur in regions of moderate
subsidence (e.g. in the trade wind regions). These clouds exhibit a
moderate sensitivity to temperature changes, but this is mostly their
huge statistical weight that explains their large influence on the
tropical radiation budget. Several propositions are made for assessing
the sensitivity of clouds to changes in temperature and in large-scale
motions using satellite observations and meteorological analyses on the
one hand, and mesoscale models on the other hand.
}},
  doi = {10.1007/s00382-003-0369-6},
  adsurl = {http://adsabs.harvard.edu/abs/2004ClDy...22...71B},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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