lmd_Seze2003.bib

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@article{2003JApMe..42.1720M,
  author = {{Mathieu}, A. and {Sèze}, G. and {Lahellec}, A. and {Guerin}, C. and 
	{Weill}, A.},
  title = {{Characterization of the Cloud-Topped Boundary Layer at the Synoptic Scale Using AVHRR Observations during the SEMAPHORE Experiment.}},
  journal = {Journal of Applied Meteorology},
  year = 2003,
  month = dec,
  volume = 42,
  pages = {1720-1730},
  abstract = {{Satellite platforms NOAA-11 and -12 Advanced Very High Resolution
Radiometer (AVHRR) data are used during the daytime to study large
sheets of stratocumulus over the North Atlantic Ocean. The application
concerns an anticyclonic period of the Structure des Echanges Mer
Atmosphère, Propriétés des
Hétérogénéités Océaniques:
Recherché Expérimentale (SEMAPHORE) campaign (10 17
November 1993). In the region of interest, the satellite images are
recorded under large solar zenith angles. Extending the SEMAPHORE area,
a region of about 3000 {\times} 3000 km$^{2}$ is studied to
characterize the atmospheric boundary layer. A statistical cloud
classification method is applied to discriminate for low-level and
optically thick clouds. For AVHRR pixels covered with thick clouds,
brightness temperatures are used to evaluate the boundary layer
cloud-top temperature (CTT). The objective is to obtain accurate CTT
maps for evaluation of a global model. In this application, the
full-resolution fields are reduced to match model grid size. An estimate
of overall temperature uncertainty associated with each grid point is
also derived, which incorporates subgrid variability of the fields and
quality of the temperature retrieval. Results are compared with the
SEMAPHORE campaign measurements. A comparison with {\ldquo}DX{\rdquo}
products obtained with the same dataset, but at lower resolution, is
also presented. The authors claim that such instantaneous CTT maps could
be as intensively used as classical SST maps, and both could be
efficiently complemented with gridpoint error-bar maps. They may be used
for multiple applications: (i) to provide a means to improve numerical
weather prediction and climatological reanalyses, (ii) to represent a
boundary layer global characterization to analyze the synoptic situation
of field experiments, and (iii) to allow validation and to test
development of large-scale and mesoscale models.
}},
  doi = {10.1175/1520-0450(2003)042<1720:COTCBL>2.0.CO;2},
  adsurl = {http://adsabs.harvard.edu/abs/2003JApMe..42.1720M},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}