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@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 year=1989 -c $type="ARTICLE" -oc lmd_EMC31989.txt -ob lmd_EMC31989.bib /home/WWW/LMD/public/}}
  author = {{Cess}, R.~D. and {Potter}, G.~L. and {Blanchet}, J.~P. and 
	{Boer}, G.~J. and {Ghan}, S.~J. and {Kiehl}, J.~T. and {Le Treut}, H. and 
	{Li}, Z.-X. and {Liang}, X.-Z. and {Mitchell}, J.~F.~B. and 
	{Morcrette}, J.-J. and {Randall}, D.~A. and {Riches}, M.~R. and 
	{Roeckner}, E. and {Schlese}, U. and {Slingo}, A. and {Taylor}, K.~E. and 
	{Washington}, W.~M. and {Wetherald}, R.~T. and {Yagai}, I.},
  title = {{Interpretation of Cloud-Climate Feedback as Produced by 14 Atmospheric General Circulation Models}},
  journal = {Science},
  year = 1989,
  month = aug,
  volume = 245,
  pages = {513-516},
  abstract = {{Understanding the cause of differences among general circulation model
projections of carbon dioxide-induced climatic change is a necessary
step toward improving the models. An intercomparison of 14 atmospheric
general circulation models, for which sea surface temperature
perturbations were used as a surrogate climate change, showed that there
was a roughly threefold variation in global climate sensitivity. Most of
this variation is attributable to differences in the models' depictions
of cloud-climate 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 climatic predictors.
  doi = {10.1126/science.245.4917.513},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Desbois}, M. and {Guessous}, S. and {Picon}, L.},
  title = {{Observation of mean dynamic fields from Meteosat large scale water vapor structure motions}},
  journal = {Advances in Space Research},
  year = 1989,
  volume = 9,
  pages = {83-90},
  abstract = {{With the objective characterizing atmospheric dynamics for particular
months, structures appearing at large scales on Meteosat water vapor
images are tracked with similar methods as those used for cloud tracking
in other channels at smaller scales. For this purpose sampled ISCCP
images at resolution 30 km with time intervals of 3 hours are used. Mean
monthly ``motion fields'' are computed. These fields are very consistent
with the general circulation of the upper troposphere. They are shown to
represent the motions of synoptic systems rather than the wind at a
particular level. Nevertheless, significant interannual variations of
the large scale circulations can be observed.
  doi = {10.1016/0273-1177(89)90147-6},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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