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

        Dissertations in Series (Dissertationen in Schriftenreihe)

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        Author(s)
        Eisenstein, Lea Andrea
        Collection
        AG Universitätsverlage
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/93942
        Keywords
        forecast; extreme weather; winter storms; Vorhersage; Identifizierung; Extremwetter; Winterstürme; Wind
        DOI
        10.5445/KSP/1000171924
        ISBN
        9783731513742, 9783731513742
        Publisher
        KIT Scientific Publishing
        Publisher website
        https://www.ksp.kit.edu/index.php?link=shop&sort=all
        Publication date and place
        2024
        Series
        Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie, 44
        Classification
        Physics
        Pages
        222
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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