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    Cloud Detection Using Meteosat Imagery and Numerical Weather Prediction Model Data 

    Source: Journal of Applied Meteorology:;2000:;volume( 039 ):;issue: 007:;page 1017
    Author(s): Feijt, Arnout; de Valk, Paul; van der Veen, Sibbo
    Publisher: American Meteorological Society
    Abstract: The cloud detection algorithm of the Royal Netherlands Meteorological Institute (KNMI) Meteosat Cloud Detection and Characterization KNMI (Metclock) scheme is introduced. The algorithm analyzes the Meteosat infrared and ...
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    Verification of an MSG Image Forecast Model: METCAST 

    Source: Weather and Forecasting:;2008:;volume( 023 ):;issue: 004:;page 712
    Author(s): Delgado, Germán; de Valk, Paul; Redaño, Ángel; van der Veen, Sibbo; Lorente, Jerónimo
    Publisher: American Meteorological Society
    Abstract: A validation of a very short-range forecast model is presented: the Meteosat Cloud Advection System (METCAST). The model forecasts IR (10.8 ?m) images based on Meteosat Second Generation (MSG) data and uses ouput from the ...
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    An Update to the Stochastically Perturbed Parameterization Scheme of HarmonEPS 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 008:;page 1923
    Author(s): Tsiringakis, Aristofanis; Frogner, Inger-Lise; de Rooy, Wim; Andrae, Ulf; Hally, Alan; Contreras Osorio, Sebastián; van der Veen, Sibbo; Barkmeijer, Jan
    Publisher: American Meteorological Society
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