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lmd_Dufresne2010_bib.html

lmd_Dufresne2010.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:"Dufresne"  ' -c year=2010 -c $type="ARTICLE" -oc lmd_Dufresne2010.txt -ob lmd_Dufresne2010.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2010ClDy...34....1M,
  author = {{Marti}, O. and {Braconnot}, P. and {Dufresne}, J.-L. and {Bellier}, J. and 
	{Benshila}, R. and {Bony}, S. and {Brockmann}, P. and {Cadule}, P. and 
	{Caubel}, A. and {Codron}, F. and {de Noblet}, N. and {Denvil}, S. and 
	{Fairhead}, L. and {Fichefet}, T. and {Foujols}, M.-A. and {Friedlingstein}, P. and 
	{Goosse}, H. and {Grandpeix}, J.-Y. and {Guilyardi}, E. and 
	{Hourdin}, F. and {Idelkadi}, A. and {Kageyama}, M. and {Krinner}, G. and 
	{Lévy}, C. and {Madec}, G. and {Mignot}, J. and {Musat}, I. and 
	{Swingedouw}, D. and {Talandier}, C.},
  title = {{Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution}},
  journal = {Climate Dynamics},
  keywords = {Climate, Simulations, Ocean, Atmosphere, Coupling, Circulation, El Ni{\~n}o/Southern oscillation, North-Atlantic oscillation, Storm-tracks, Resolution},
  year = 2010,
  month = jan,
  volume = 34,
  pages = {1-26},
  abstract = {{This paper presents the major characteristics of the Institut Pierre
Simon Laplace (IPSL) coupled ocean-atmosphere general circulation model.
The model components and the coupling methodology are described, as well
as the main characteristics of the climatology and interannual
variability. The model results of the standard version used for IPCC
climate projections, and for intercomparison projects like the
Paleoclimate Modeling Intercomparison Project (PMIP 2) are compared to
those with a higher resolution in the atmosphere. A focus on the North
Atlantic and on the tropics is used to address the impact of the
atmosphere resolution on processes and feedbacks. In the North Atlantic,
the resolution change leads to an improved representation of the
storm-tracks and the North Atlantic oscillation. The better
representation of the wind structure increases the northward salt
transports, the deep-water formation and the Atlantic meridional
overturning circulation. In the tropics, the ocean-atmosphere dynamical
coupling, or Bjerknes feedback, improves with the resolution. The
amplitude of ENSO (El Ni{\~n}o-Southern oscillation) consequently
increases, as the damping processes are left unchanged.
}},
  doi = {10.1007/s00382-009-0640-6},
  adsurl = {http://adsabs.harvard.edu/abs/2010ClDy...34....1M},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2010JGRD..115.0H16C,
  author = {{Chepfer}, H. and {Bony}, S. and {Winker}, D. and {Cesana}, G. and 
	{Dufresne}, J.~L. and {Minnis}, P. and {Stubenrauch}, C.~J. and 
	{Zeng}, S.},
  title = {{The GCM-Oriented CALIPSO Cloud Product (CALIPSO-GOCCP)}},
  journal = {Journal of Geophysical Research (Atmospheres)},
  keywords = {Atmospheric Composition and Structure: Chemical kinetic and photochemical properties, Global Change: Atmosphere (0315, 0325), Global Change: Remote sensing (1855), Atmospheric Composition and Structure: Cloud/radiation interaction, Atmospheric Processes: Clouds and cloud feedbacks, cloud, satellite, climatology},
  year = 2010,
  month = jan,
  volume = 115,
  eid = {D00H16},
  pages = {0},
  abstract = {{This article presents the GCM-Oriented Cloud-Aerosol Lidar and Infrared
Pathfinder Satellite Observation (CALIPSO) Cloud Product (GOCCP)
designed to evaluate the cloudiness simulated by general circulation
models (GCMs). For this purpose, Cloud-Aerosol Lidar with Orthogonal
Polarization L1 data are processed following the same steps as in a
lidar simulator used to diagnose the model cloud cover that CALIPSO
would observe from space if the satellite was flying above an atmosphere
similar to that predicted by the GCM. Instantaneous profiles of the
lidar scattering ratio (SR) are first computed at the highest horizontal
resolution of the data but at the vertical resolution typical of current
GCMs, and then cloud diagnostics are inferred from these profiles:
vertical distribution of cloud fraction, horizontal distribution of low,
middle, high, and total cloud fractions, instantaneous SR profiles, and
SR histograms as a function of height. Results are presented for
different seasons (January-March 2007-2008 and June-August 2006-2008),
and their sensitivity to parameters of the lidar simulator is
investigated. It is shown that the choice of the vertical resolution and
of the SR threshold value used for cloud detection can modify the cloud
fraction by up to 0.20, particularly in the shallow cumulus regions. The
tropical marine low-level cloud fraction is larger during nighttime (by
up to 0.15) than during daytime. The histograms of SR characterize the
cloud types encountered in different regions. The GOCCP high-level cloud
amount is similar to that from the TIROS Operational Vertical Sounder
(TOVS) and the Atmospheric Infrared Sounder (AIRS). The low-level and
middle-level cloud fractions are larger than those derived from passive
remote sensing (International Satellite Cloud Climatology Project,
Moderate-Resolution Imaging Spectroradiometer-Cloud and Earth Radiant
Energy System Polarization and Directionality of Earth Reflectances,
TOVS Path B, AIRS-Laboratoire de Météorologie Dynamique)
because the latter only provide information on the uppermost cloud
layer.
}},
  doi = {10.1029/2009JD012251},
  adsurl = {http://adsabs.harvard.edu/abs/2010JGRD..115.0H16C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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