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    • Objective identification and climatology of mesoscale high-wind features within extratropical cyclones

    Lea Andrea Eisenstein

    Band 88 von Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
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    Strong winds accompanying extratropical cyclones are commonly associated with various mesoscale features. This work introduces RAMEFI (RAndom-forest-based Mesoscale wind Feature Identification), an objective and flexible identification approach based on key surface characteristics to distinguish these features. RAMEFI is further applied to compile a climatology over Europe, offering a comprehensive analysis of feature frequency, distribution, and characteristics.

    Umfang: XIV, 186 S.

    Preis: 42.00 €

    Fächer:

    Physik 

    Schlagwörter:

    forecast extreme weather winter storms Vorhersage Identifizierung Extremwetter Winterstürme Wind

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    Empfohlene Zitierweise
    Eisenstein, L. 2024. Objective identification and climatology of mesoscale high-wind features within extratropical cyclones. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000171924
    Eisenstein, L.A., 2024. Objective identification and climatology of mesoscale high-wind features within extratropical cyclones. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000171924
    Eisenstein, L A. Objective Identification and Climatology of Mesoscale High-wind Features Within Extratropical Cyclones. KIT Scientific Publishing, 2024. DOI: https://doi.org/10.5445/KSP/1000171924
    Eisenstein, L. A. (2024). Objective identification and climatology of mesoscale high-wind features within extratropical cyclones. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000171924
    Eisenstein, Lea Andrea. 2024. Objective Identification and Climatology of Mesoscale High-wind Features Within Extratropical Cyclones. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000171924



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    Veröffentlicht am 1. Oktober 2024

    Sprache

    Englisch

    Seitenanzahl:

    222

    ISBN
    Paperback 978-3-7315-1374-2

    DOI
    https://doi.org/10.5445/KSP/1000171924