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lmd_Seze1991_bib.html

lmd_Seze1991.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:"Seze"  or author:"Sèze"  ' -c year=1991 -c $type="ARTICLE" -oc lmd_Seze1991.txt -ob lmd_Seze1991.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{1991DyAtO..16..147Y,
  author = {{Yu}, W. and {Sèze}, G. and {Le Treut}, H. and {Desbois}, M.
	},
  title = {{Comparison of radiance fields observed by satellite and simulated by the LMD general circulation model}},
  journal = {Dynamics of Atmospheres and Oceans},
  year = 1991,
  month = oct,
  volume = 16,
  pages = {147-165},
  abstract = {{A time series of International Satellite Cloud Climatology Project
(ISCCP) B2 data has been used to study the spatio-temporal variability
of cloud radiance fields and to compare it with similar diagnostics
obtained from a numerical simulation with the Laboratoire de
Météorologie Dynamique general circulation model (GCM). We
first compare zonal means of the observed and simulated fluxes: the
largest differences appear mainly above land, probably due to a diurnal
cycle effect. A computation of the cloud radiative forcing is made to
distinguish model errors in the clear sky or in cloudy areas: it shows
that the radiative effect of the simulated clouds is generally smaller
than that of observed ones. The influence of the spatial resolution on
the variability of the visible and infrared radiance fields is examined.
The results show that the variability due to the better spatial
resolution of the satellite data cannot be simulated by the GCM;
however, the variability of the simulated radiances is comparable to
that of the satellite data when they are spatially averaged on the GCM
mesh. The temporal variability of the spatially averaged observed and
simulated radiances has a similar spatial distribution but the model
results are slightly smaller. The memory of the precedent state shown by
the autocorrelation function is longer for the GCM than for the
observation. However, the periods obtained by a spectral analysis in the
mid-latitude regions are approximately the same in the observation and
the simulation.
}},
  doi = {10.1016/0377-0265(91)90018-B},
  adsurl = {http://adsabs.harvard.edu/abs/1991DyAtO..16..147Y},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1991IJRS...12..921S,
  author = {{Sèze}, G. and {Rossow}, W.~B.},
  title = {{Effects of satellite data resolution on measuring the space/time variations of surfaces and clouds}},
  journal = {International Journal of Remote Sensing},
  year = 1991,
  month = may,
  volume = 12,
  pages = {921-952},
  doi = {10.1080/01431169108929703},
  adsurl = {http://adsabs.harvard.edu/abs/1991IJRS...12..921S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1991IJRS...12..877S,
  author = {{Sèze}, G. and {Rossow}, W.~B.},
  title = {{Time-cumulated visible and infrared radiance histograms used as descriptors of surface and cloud variations}},
  journal = {International Journal of Remote Sensing},
  year = 1991,
  month = may,
  volume = 12,
  pages = {877-920},
  doi = {10.1080/01431169108929702},
  adsurl = {http://adsabs.harvard.edu/abs/1991IJRS...12..877S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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