Detailansicht

Wissensnetz

Person

Lea Eisenstein

Name	Lea Eisenstein
Ort	Fulda (Geburtsort) Sonstiges Ausland / Unbekanntes Land
Akademischer Grad bzw. Titel	Dr. rer. nat. (an der Fakultät für Physik des Karlsruher Instituts für Technologie (KIT)) (2023) M.Sc.
Variante	Lea Andrea Eisenstein
Beziehung	Klimatologie (Thema)
Datensatztyp	Person
GND-Nummer	1302613847
Datensatz-ID	1302613847
Beteiligt an alle anzeigen Objective identification and climatology of mesoscale high-wind features within extratropical cyclones Objective identification and climatology of mesoscale high-wind features within extratropical cyclones Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology The three-dimensional structure of fronts in mid-latitude weather systems as represented by numerical weather prediction models Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology over Europe Objective identification and climatology of mesoscale high-wind features within extratropical cyclones The three-dimensional structure of fronts in mid-latitude weather systems as represented by numerical weather prediction models Objective identification of high-wind features within extratropical cyclones using a probabilistic random forest (RAMEFI). Part I: Method and illustrative case studies

Hinweis

Die Betaversion beinhaltet noch nicht alle Funktionen und Informationen des Katalogs des DNB-Portals. Falls Sie Informationen vermissen oder ein Medium bestellen wollen, besuchen Sie bitte die entsprechende Seite im Katalog des DNB-Portals über folgenden Link:

Katalog der Deutschen Nationalbibliothek

Lea Eisenstein

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

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

Identification of high-wind features within extratropical cyclones using a probabilistic random forest &ndash; Part 2: Climatology

The three-dimensional structure of fronts in mid-latitude weather systems as represented by numerical weather prediction models

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology over Europe

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

The three-dimensional structure of fronts in mid-latitude weather systems as represented by numerical weather prediction models

Objective identification of high-wind features within extratropical cyclones using a probabilistic random forest (RAMEFI). Part I: Method and illustrative case studies

Identification of high-wind features within extratropical cyclones using a probabilistic random forest – Part 2: Climatology