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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 '  author:"Seze"  or author:"Sèze"  ' -c year=2008 -c $type="ARTICLE" -oc lmd_Seze2008.txt -ob lmd_Seze2008.bib /home/WWW/LMD/public/}}
  author = {{Chepfer}, H. and {Bony}, S. and {Winker}, D. and {Chiriaco}, M. and 
	{Dufresne}, J.-L. and {Sèze}, G.},
  title = {{Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model}},
  journal = {\grl},
  keywords = {Global Change: Atmosphere (0315, 0325), Global Change: Global climate models (3337, 4928), Atmospheric Composition and Structure: Cloud/radiation interaction, Global Change: Remote sensing (1855), Atmospheric Processes: Climatology (1616, 1620, 3305, 4215, 8408)},
  year = 2008,
  month = aug,
  volume = 35,
  eid = {L15704},
  pages = {15704},
  abstract = {{New space-borne active sensors make it possible to observe the
three-dimensional structure of clouds. Here we use CALIPSO lidar
observations together with a lidar simulator to evaluate the cloudiness
simulated by a climate model: modeled atmospheric profiles are converted
to an ensemble of subgrid-scale attenuated backscatter lidar signals
from which a cloud fraction is derived. Except in regions of persistent
thick upper-level clouds, the cloud fraction diagnosed through this
procedure is close to that actually predicted by the model. A fractional
cloudiness is diagnosed consistently from CALIPSO data at a
spatio-temporal resolution comparable to that of the model. The
comparison of the model's cloudiness with CALIPSO data reveals
discrepancies more pronounced than in previous model evaluations based
on passive observations. This suggests that space-borne lidar
observations constitute a powerful tool for the evaluation of clouds in
large-scale models, including marine boundary-layer clouds
  doi = {10.1029/2008GL034207},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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