New insights on the prevalence of drizzle in marine stratocumulus clouds based on a machine learning algorithm applied to radar Doppler spectra
Abstract - 2. Furthermore, the drizzle occurrence in marine boundary layer clouds differs among the three ARM campaigns, indicating that the drizzle formation, which is controlled by the microphysical process, is regime dependent. A complete understanding of the drizzle distribution climatology in marine stratocumulus clouds calls for more observational campaigns and continuing investigations.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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New insights on the prevalence of drizzle in marine stratocumulus clouds based on a machine learning algorithm applied to radar Doppler spectra ; volume:22 ; number:11 ; year:2022 ; pages:7405-7416 ; extent:12
Atmospheric chemistry and physics ; 22, Heft 11 (2022), 7405-7416 (gesamt 12)
- Urheber
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Zhu, Zeen
Kollias, Pavlos
Luke, Edward
Yang, Fan
- DOI
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10.5194/acp-22-7405-2022
- URN
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urn:nbn:de:101:1-2022061605354612518053
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:31 MESZ
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Beteiligte
- Zhu, Zeen
- Kollias, Pavlos
- Luke, Edward
- Yang, Fan
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