lmd_EMC31985.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 year=1985 -c $type="ARTICLE" -oc lmd_EMC31985.txt -ob lmd_EMC31985.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{1985AdSpR...5...49D,
  author = {{Desbois}, M. and {Picon}, L. and {Sèze}, G.},
  title = {{Retrieval of some climatic elements of Africa from METEOSAT data analysis}},
  journal = {Advances in Space Research},
  year = 1985,
  volume = 5,
  pages = {49-52},
  abstract = {{A study of some climatic elements of Africa from METEOSAT imagery has
been undertaken at our laboratory. The general objectives of this
project and its interaction with a Sahelian climate simulation with the
LMD GCM are described. The problems relative to the measurement of
seasonal land surface albedo variations are outlined. Preliminary
results of a simple method comparing January and April 1982 are shown
and discussed.
}},
  doi = {10.1016/0273-1177(85)90298-4},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985AdSpR...5...49D},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985GeoRL..12..667M,
  author = {{Muller}, C. and {Vercheval}, J. and {Ackerman}, M. and {Lippens}, C. and 
	{Laurent}, J. and {Lemaitre}, M.~P. and {Besson}, J. and {Girard}, A.
	},
  title = {{Observations of middle atmospheric CH4 and N2O vertical distributions by the Spacelab 1 grille spectrometer}},
  journal = {\grl},
  keywords = {Atmospheric Composition, Methane, Middle Atmosphere, Nitrous Oxides, Absorption Spectroscopy, Gas Density, Satellite-Borne Instruments, Spacelab, Vertical Distribution},
  year = 1985,
  month = oct,
  volume = 12,
  pages = {667-670},
  abstract = {{Methane and nitrous oxide have been observed by limb absorption
spectrometry using the Spacelab One grille spectrometer. The CH4 nu3
band is observed with a 0.1/cm resolution up to 80 km while N2O can be
seen up to 52 km in strong lines of its nu3 band. The values are
compared, where possible, with previous observations and are in
agreement with rocket determinations.
}},
  doi = {10.1029/GL012i010p00667},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985GeoRL..12..667M},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985JApMe..24..887R,
  author = {{Rossow}, W.~B. and {Mosher}, F. and {Kinsella}, E. and {Arking}, A. and 
	{Desbois}, M. and {Harrison}, E. and {Minnis}, P. and {Ruprecht}, E. and 
	{Seze}, G. and {Simmer}, C. and {Smith}, E.},
  title = {{ISCCP Cloud Algorithm Intercomparison.}},
  journal = {Journal of Applied Meteorology},
  year = 1985,
  month = sep,
  volume = 24,
  pages = {887-903},
  abstract = {{The International Satellite Cloud Climatology Project (ISCCP) will
provide a uniform global climatology of satellite-measured radiances and
derive an experimental climatology of cloud radiative properties from
these radiances. A pilot study to intercompare cloud analysis algorithms
was initiated in 1981 to define a state-of-the-art algorithm for ISCCP.
This study compared the results of applying six different algorithms to
the same satellite radiance data. The results show that the performance
of all current algorithms depends on how accurately the clear sky
radiances are specified; much improvement in results is possible with
better methods for obtaining these clear-sky radiances. A major
difference between the algorithms is caused by their sensitivity to
changes in the cloud size distribution and optical properties: all
methods, which work well for some cloud types or climate regions, do
poorly for other situations. Therefore, the ISCCP algorithm is composed
of a series of steps, each of which is designed to detect some of the
clouds present in the scene. This progressive analysis is used to
retrieve an estimate of the clear sky radiances corresponding to each
satellite image. Application of a bispectral threshold is then used as
the last step to determine the cloud fraction. Cloudy radiances are
interpreted in terms of a simplified model of cloud radiative effects to
provide some measure of cloud radiative properties. Application of this
experimental algorithm to produce a cloud climatology and field
observation programs to validate the results will stimulate further
research on cloud analysis techniques as part of ISCCP.
}},
  doi = {10.1175/1520-0450(1985)024<0887:ICAI>2.0.CO;2},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985JApMe..24..887R},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985JApMe..24..877R,
  author = {{Rossow}, W.~B. and {Mosher}, F. and {Kinsella}, E. and {Arking}, A. and 
	{Desbois}, M. and {Harrison}, E. and {Minnis}, P. and {Ruprecht}, E. and 
	{Seze}, G. and {Simmer}, C. and {Smith}, E.},
  title = {{ISCCP Cloud Algorithm Intercomparison}},
  journal = {Journal of Applied Meteorology},
  year = 1985,
  month = sep,
  volume = 24,
  pages = {877-903},
  doi = {10.1175/1520-0450(1985)024<0887:ICAI>2.0.CO;2},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985JApMe..24..877R},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985Natur.315..126L,
  author = {{Laurent}, J. and {Lemaitre}, M.-P. and {Besson}, J. and {Girard}, A. and 
	{Lippens}, C. and {Muller}, C. and {Vercheval}, J. and {Ackerman}, M.
	},
  title = {{Middle atmospheric NO and NO2 observed by the Spacelab grille spectrometer}},
  journal = {\nat},
  keywords = {Atmospheric Sounding, Infrared Spectrometers, Middle Atmosphere, Nitric Oxide, Nitrogen Dioxide, Spacelab Payloads, Mesosphere, Ozone, Thermosphere},
  year = 1985,
  month = may,
  volume = 315,
  pages = {126},
  abstract = {{The first observation of NO from the low thermosphere down to the low
stratosphere by instrumentation aboard Spacelab I similar to that
previously used aboard balloon gondolas is reported. The results are
compared with other observations in the mesosphere and in the low
thermosphere. Good agreement is found with previous results for the
highest altitudes, but the differences become very large at 85 km, with
the vertical profiles in particular exhibiting a minimum volume
concentration at the altitude.
}},
  doi = {10.1038/315126a0},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985Natur.315..126L},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985AdSpR...5..185R,
  author = {{Rossow}, W.~B. and {Mosher}, F. and {Kinsella}, E. and {Arking}, A. and 
	{Desbois}, M. and {Harrison}, E. and {Minnis}, P. and {Ruprecht}, E. and 
	{Sèze}, G. and {Smith}, E.},
  title = {{ISCCP cloud analysis algorithm intercomparison}},
  journal = {Advances in Space Research},
  year = 1985,
  volume = 5,
  pages = {185-185},
  abstract = {{The International Satellite Cloud Climatology Project (ISCCP) will
provide a uniform global climatology of satellite-measured radiances and
derive a climatology of cloud radiative properties from these radiances.
For this purpose, a pilot study of cloud analysis algorithms was
initiated to define a state-of-the-art algorithm for ISCCP. This study
compared the results of applying the nine different algorithms to the
same satellite radiance data. The comparison allowed for a sharper
understanding of the process of detecting clouds and shows that all
algorithms can be improved by better information about clear sky
radiance values (essentially equivalent to surface property information)
and by better understanding of cloud size distribution variations. The
dependence of all methods on cloud size distribution led to selection of
an advanced bispectral threshold technique for ISCCP because this method
is currently better understood and more developed. Further research on
cloud algorithms is clearly suggested by these results.
}},
  doi = {10.1016/0273-1177(85)90319-9},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985AdSpR...5..185R},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1985AdSpR...5..165S,
  author = {{Sèze}, G. and {Belcour}, C. and {Desbois}, M.},
  title = {{Cloud cover analysis using spectral and spatial characteristics of meteosat images}},
  journal = {Advances in Space Research},
  year = 1985,
  volume = 5,
  pages = {165-168},
  abstract = {{New developments of a cloud classification scheme based on histogram
clustering by a statistical method are studied. Use of time series of
satellite pictures and of spatial variances is introduced and discussed.
}},
  doi = {10.1016/0273-1177(85)90315-1},
  adsurl = {https://ui.adsabs.harvard.edu/abs/1985AdSpR...5..165S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}