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dc.contributor.authorEisenstein, Lea Andrea
dc.date.accessioned2024-10-24T04:07:46Z
dc.date.available2024-10-24T04:07:46Z
dc.date.issued2024
dc.date.submitted2024-10-23T12:52:41Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/93942
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/146428
dc.description.abstractStrong 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.
dc.languageEnglish
dc.relation.ispartofseriesWissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie
dc.rightsopen access
dc.subject.otherforecast; extreme weather; winter storms; Vorhersage; Identifizierung; Extremwetter; Winterstürme; Wind
dc.subject.otherthema EDItEUR::P Mathematics and Science::PH Physics
dc.titleObjective identification and climatology of mesoscale high-wind features within extratropical cyclones
dc.typebook
oapen.identifier.doi10.5445/KSP/1000171924
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages222
dc.seriesnumber44


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