Comparing storm resolving models and climates via unsupervised machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Comparing storm resolving models and climates via unsupervised machine learning ; volume:13 ; number:1 ; day:15 ; month:12 ; year:2023 ; pages:1-15 ; date:12.2023
Scientific reports ; 13, Heft 1 (15.12.2023), 1-15, 12.2023
- Urheber
-
Mooers, Griffin
Pritchard, Mike
Beucler, Tom
Srivastava, Prakhar
Mangipudi, Harshini
Peng, Liran
Gentine, Pierre
Mandt, Stephan
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-49455-w
- URN
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urn:nbn:de:101:1-2024030107452962762059
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:55 MESZ
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Beteiligte
- Mooers, Griffin
- Pritchard, Mike
- Beucler, Tom
- Srivastava, Prakhar
- Mangipudi, Harshini
- Peng, Liran
- Gentine, Pierre
- Mandt, Stephan
- SpringerLink (Online service)
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