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.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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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)
- Classification
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Natürliche Ressourcen, Energie und Umwelt
- Creator
- DOI
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10.5194/hess-26-1821-2022
- URN
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urn:nbn:de:101:1-2022041405201927474277
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Torelló-Sentelles, Herminia
- Franzke, Christian
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