lmd_Bony1995.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=1995 -c $type="ARTICLE" -oc lmd_Bony1995.txt -ob lmd_Bony1995.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}

@article{1995ClDy...11..307B,
  author = {{Bony}, S. and {Duvel}, J.-P. and {Le Trent}, H.},
  title = {{Observed dependence of the water vapor and clear-sky greenhouse effect on sea surface temperature: comparison with climate warming experiments}},
  journal = {Climate Dynamics},
  year = 1995,
  month = jul,
  volume = 11,
  pages = {307-320},
  abstract = {{This study presents a comparison of the water vapor and clear-sky
greenhouse effect dependence on sea surface temperature for climate
variations of different types. Firstly, coincident satellite
observations and meteorological analyses are used to examine seasonal
and interannual variations and to evaluate the performance of a general
circulation model. Then, this model is used to compare the results
inferred from the analysis of observed climate variability with those
derived from global climate warming experiments. One part of the
coupling between the surface temperature, the water vapor and the
clear-sky greenhouse effect is explained by the dependence of the
saturation water vapor pressure on the atmospheric temperature. However,
the analysis of observed and simulated fields shows that the coupling is
very different according to the type of region under consideration and
the type of climate forcing that is applied to the Earth-atmosphere
system. This difference, due to the variability of the vertical
structure of the atmosphere, is analyzed in detail by considering the
temperature lapse rate and the vertical profile of relative humidity.
Our results suggest that extrapolating the feedbacks inferred from
seasonal and short-term interannual climate variability to longer-term
climate changes requires great caution. It is argued that our confidence
in climate models' predictions would be increased significantly if the
basic physical processes that govern the variability of the vertical
structure of the atmosphere, and its relation to the large-scale
circulation, were better understood and simulated. For this purpose,
combined observational and numerical studies focusing on physical
processes are needed.
}},
  doi = {10.1007/BF00211682},
  adsurl = {http://adsabs.harvard.edu/abs/1995ClDy...11..307B},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}