Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques
- 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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Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques ; volume:12 ; number:5 ; year:2019 ; pages:1791-1807
Geoscientific model development ; 12, Heft 5 (2019), 1791-1807
- Urheber
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Lu, Dan
Ricciuto, Daniel
- DOI
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10.5194/gmd-12-1791-2019
- URN
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urn:nbn:de:101:1-2019050905041708745866
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:50 MESZ
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Beteiligte
- Lu, Dan
- Ricciuto, Daniel
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