Drought impact links to meteorological drought indicators and predictability in Spain
Abstract R 2 values higher than 0.97, 0.62, and 0.68, respectively. Thus, our random forest models are skilful in predicting drought impacts and could potentially be used as part of an early warning system.
- 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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Drought impact links to meteorological drought indicators and predictability in Spain ; volume:26 ; number:7 ; year:2022 ; pages:1821-1844 ; extent:24
Hydrology and earth system sciences ; 26, Heft 7 (2022), 1821-1844 (gesamt 24)
- Klassifikation
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Natürliche Ressourcen, Energie und Umwelt
- Urheber
- DOI
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10.5194/hess-26-1821-2022
- URN
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urn:nbn:de:101:1-2022041405201927474277
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Torelló-Sentelles, Herminia
- Franzke, Christian
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