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    Cloud Cover Analysis from Satellite Imagery Using Spatial and Temporal Characteristics of the Data 

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 002:;page 287
    Author(s): Seze, Genevieve; Desbois, Michel
    Publisher: American Meteorological Society
    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 ...
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    Automatic Classification of Clouds on METEOSAT Imagery: Application to High-Level Clouds 

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 003:;page 401
    Author(s): Desbois, Michel; Seze, Genevieve; Szejwach, Gerard
    Publisher: American Meteorological Society
    Abstract: A statistical classification method based on clustering on three-dimensional histograms is applied to the three channels of the METEOSAT imagery [Visible (VIS)?Infrared Window (IR)?Infrared Water Vapor (WV)]. The results ...
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    A Land and Ocean Microwave Cloud Classification Algorithm Derived from AMSU-A and -B, Trained Using MSG-SEVIRI Infrared and Visible Observations 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 008:;page 2347
    Author(s): Aires, Filipe; Marquisseau, Francis; Prigent, Catherine; Sèze, Geneviève
    Publisher: American Meteorological Society
    Abstract: statistical cloud classification and cloud mask algorithm is developed based on Advanced Microwave Sounding Unit (AMSU-A and -B) microwave (MW) observations. The visible and infrared data from the Meteosat Third ...
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    A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 011:;page 2553
    Author(s): Blanchard, Yann; Pelon, Jacques; Eloranta, Edwin W.; Moran, Kenneth P.; Delanoë, Julien; Sèze, Geneviève
    Publisher: American Meteorological Society
    Abstract: ctive remote sensing instruments such as lidar and radar allow one to accurately detect the presence of clouds and give information on their vertical structure and phase. To better address cloud radiative impact over the ...
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    Comparison of High-Cloud Characteristics as Estimated by Selected Spaceborne Observations and Ground-Based Lidar Datasets 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 006:;page 1142
    Author(s): Plana-Fattori, Artemio; Brogniez, Gérard; Chervet, Patrick; Haeffelin, Martial; Lado-Bordowsky, Olga; Morille, Yohann; Parol, Frédéric; Pelon, Jacques; Roblin, Antoine; Sèze, Geneviève; Stubenrauch, Claudia
    Publisher: American Meteorological Society
    Abstract: The characterization of high clouds as performed from selected spaceborne observations is assessed in this article by employing a number of worldwide ground-based lidar multiyear datasets as reference. Among the latter, ...
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