Satellite-based brightness temperature observations are used in a wide range of applications for monitoring weather systems over land and especially over water, including short-term prediction of the evolution of weather systems. Results are presented from an evaluation of three extrapolation-based nowcasting procedures to predict satellitebased brightness temperatures up to 3 hours into the future. Analyses are based on using METEOSAT-8 Spinning Enhanced Visible and Infrared Imager (SEVIRI) data as a proxy for the Advanced Baseline Imager (ABI) to be flown on the next-generation National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellite (GOES)-R series.


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    Titel :

    Brightness temperature nowcasting for satellite-based short-term prediction of storms: opportunities and challenges


    Beteiligte:
    Cai, Huaqing (Autor:in) / Kuligowski, Robert (Autor:in) / Lee, Gyuwon (Autor:in) / Rehak, Nancy (Autor:in) / Cunning, Gary (Autor:in) / Albo, David (Autor:in) / Megenhardt, Daniel (Autor:in) / Steiner, Matthias (Autor:in)

    Kongress:

    Remote Sensing Applications for Aviation Weather Hazard Detection and Decision Support ; 2008 ; San Diego,California,United States


    Erschienen in:

    Proc. SPIE ; 7088 ; 708807


    Erscheinungsdatum :

    22.08.2008





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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