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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:"Picon"  ' -c year=2006 -c $type="ARTICLE" -oc lmd_Picon2006.txt -ob lmd_Picon2006.bib /home/WWW/LMD/public/}}
  author = {{Brogniez}, H. and {Roca}, R. and {Picon}, L.},
  title = {{A clear-sky radiance archive from Meteosat ``water vapor'' observations}},
  journal = {Journal of Geophysical Research (Atmospheres)},
  keywords = {Atmospheric Processes: Remote sensing, Atmospheric Processes: Climatology (1616, 1620, 3305, 4215, 8408), Atmospheric Processes: Tropical meteorology, Atmospheric Processes: Instruments and techniques, cloud clearing, water vapor, satellite climatology},
  year = 2006,
  month = nov,
  volume = 111,
  number = d10,
  eid = {D21109},
  pages = {21109},
  abstract = {{A long-term archive of clear-sky Meteosat ''water vapor'' observations,
covering the July 1983 to February 1997 period with a 3 hourly time step
and a spatial resolution of 0.625{\deg}, is presented. Cloud clearing is
performed using a scene selection procedure based on the International
Satellite Cloud Climatology Project DX product. In this procedure low
cloud scenes are kept because of the negligible contribution of the low
atmospheric layer in this spectral band. Cloud contamination is shown to
have little influence on the clear-sky radiance (CSR) field and is
mainly confined to the continental Intertropical Convergence Zone with
values less than 0.5 K. This scene selection yields to a significantly
enhanced sampling with respect to pure clear-sky in the subtropical high
regions. Homogenization of the 14 year database is performed in
accordance with existing technique. A comparison to the operational
radiosondes archive indicates a small bias of 0.3 K that is stable
throughout the period. A first analysis of the CSR variability reveals
that the intraseasonal variance over the subtropical dry regions has a
strong seasonal cycle in the Northern Hemisphere that is not observed in
the Southern Hemisphere. Such a data set completes the ones currently
available to document the water vapor variability of the troposphere
from climatic down to regional and daily scales.
  doi = {10.1029/2006JD007238},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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