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lmd_Picon2001.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:"Picon"  ' -c year=2001 -c $type="ARTICLE" -oc lmd_Picon2001.txt -ob lmd_Picon2001.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2001JGR...10628113B,
  author = {{Bonazzola}, M. and {Picon}, L. and {Laurent}, H. and {Hourdin}, F. and 
	{SèZe}, G. and {Pawlowska}, H. and {Sadourny}, R.},
  title = {{Retrieval of large-scale wind divergences from infrared Meteosat-5 brightness temperatures over the Indian Ocean}},
  journal = {\jgr},
  keywords = {Meteorology and Atmospheric Dynamics: Convective processes, Meteorology and Atmospheric Dynamics: General circulation, Meteorology and Atmospheric Dynamics: Numerical modeling and data assimilation, Meteorology and Atmospheric Dynamics: Tropical meteorology},
  year = 2001,
  month = nov,
  volume = 106,
  pages = {28113},
  abstract = {{Over the tropics the atmospheric general circulation models usually fail
in predicting horizontal wind divergence, which is closely related to
atmospheric heating and to the vertical exchanges associated with
convection. With the aim of forcing atmospheric models we present here a
reconstruction of wind divergences based on the links between infrared
brightness temperatures, convective activity, and large-scale
divergence. In practice, wind divergences are reconstructed from
brightness temperatures using correlations obtained from numerical
simulations performed with a general circulation model. When building
those correlations, a distinction must be made between the brightness
temperatures of opaque clouds and those of semitransparent clouds, only
the former being directly associated with convection. In order to filter
out semitransparent clouds we use radiative thresholds in the water
vapor channel in addition to the window channel. We apply our approach
to Meteosat-5 data over the Indian Ocean. Comparison with wind
divergences reconstructed independently from Meteosat water vapor winds
partially validates our retrieval. Comparison with European Center for
Medium-Range Weather Forecasts analyses indicates that much can be
gained by adding information on the wind divergence in the tropics to
force an atmospheric model.
}},
  doi = {10.1029/2000JD900690},
  adsurl = {http://adsabs.harvard.edu/abs/2001JGR...10628113B},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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