Predicting global patterns of long-term climate change from short-term simulations using machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2397-3722
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Predicting global patterns of long-term climate change from short-term simulations using machine learning ; volume:3 ; number:1 ; day:19 ; month:11 ; year:2020 ; pages:1-9 ; date:12.2020
npj climate and atmospheric science ; 3, Heft 1 (19.11.2020), 1-9, 12.2020
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41612-020-00148-5
- URN
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urn:nbn:de:101:1-2020122421370974203834
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Mansfield, L. A.
- Nowack, Peer
- Kasoar, M.
- Everitt, R. G.
- Collins, W. J.
- Voulgarakis, A.
- SpringerLink (Online service)
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