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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=1987 -c $type="ARTICLE" -oc lmd_Seze1987.txt -ob lmd_Seze1987.bib /home/WWW/LMD/public/}}
  author = {{Picon}, L. and {Desbois}, M. and {Sèze}, G.},
  title = {{Use of meteosat ISCCP B2 data for the study of interannual variations of climatic elements in Africa}},
  journal = {Advances in Space Research},
  year = 1987,
  volume = 7,
  pages = {199-202},
  abstract = {{Composite monthly images corresponding to West African rainy seasons of
1983, 1984, and 1985, have been constructed from ISCCP B2 Meteosat data.
Average and standard deviation images from thermal infrared and water
vapor channels are studied. In the thermal infrared, differences between
the three years appear principally in the mean structure of the ITCZ,
North-South extend, northward boundary, longitudinal variations of the
convection. In the water vapor channel, well defined ``dry'' areas
appear, showing the location and extent of subsidence regions on a large
scale. These locations and extents also vary from year to year.
  doi = {10.1016/0273-1177(87)90146-3},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Seze}, G. and {Desbois}, M.},
  title = {{Cloud Cover Analysis from Satellite Imagery Using Spatial and Temporal Characteristics of the Data.}},
  journal = {Journal of Applied Meteorology},
  year = 1987,
  month = feb,
  volume = 26,
  pages = {287-303},
  abstract = {{New developments of a cloud classification scheme based on histogram
clustering by a statistical method are presented. Use of time series of
geostationary satellite pictures as well as for construction of
composite images representative of the surface properties and then for
the identification of significative cloud classes is discussed. Spatial
variances are introduced as additional parameters of the classification,
with the aim to better separate clouds from the surface and the
different kinds of more or less homogeneous cloud classes.
  doi = {10.1175/1520-0450(1987)026<0287:CCAFSI>2.0.CO;2},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Drake}, F. and {Sèze}, G. and {Desbois}, M. and {Henderson-Sellers}, A.
  title = {{European ISCCP sector surface and satellite retrieved cloud comparison}},
  journal = {Advances in Space Research},
  year = 1987,
  volume = 7,
  pages = {159-161},
  abstract = {{A comparison between surface-observed total, low and high cloud amount
and retrievals from METEOSAT radiance data made using the cluster
technique of Desbois et al. has been undertaken. Observations for 12.00
GMT for the 20 day period 22nd July to 10th August 1983 were compared
with retrievals made from METEOSAT radiances measured at 11.30 GMT. The
comparisons for total and low cloud amount were made for 204 stations
covering France, southern Britain and West Germany although high cloud
amount comparisons were not possible for France, so only 114 stations
were used. The location and time period were selected to coincide with
one of the regions designated for the validation phase of the
International Satellite Cloud Climatology Project, ISCCP. The results
are generally good: for total cloud amount 30\% of retrievals were fully
in agreement and 64\% of the differences were within +/-1 okta. As
anticipated, the surface observations offered additional information oin
low cloud cover in multi-layer situations. Surface observers were also
found to identify thin cirrus which was not detected by the satellite
retrieval and to detect small gaps in cloud decks and small clouds
missed by the satellite retrieval.
  doi = {10.1016/0273-1177(87)90139-6},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Sèze}, G. and {Rossow}, W.},
  title = {{Time-cumulated visible and infrared histograms used as descriptor of cloud cover}},
  journal = {Advances in Space Research},
  year = 1987,
  volume = 7,
  pages = {155-158},
  abstract = {{To study the statistical behavior of clouds for different climate
regimes, the spatial and temporal stability of VIS-IR bi-dimensional
histograms is tested. Also, the effect of data sampling and averaging on
the histogram shapes is considered; in particular the sampling strategy
used by the International Satellite Cloud Climatology Project is tested.
  doi = {10.1016/0273-1177(87)90138-4},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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