Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?
- 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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Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? ; volume:21 ; number:2 ; year:2017 ; pages:839-861
Hydrology and earth system sciences ; 21, Heft 2 (2017), 839-861
- Urheber
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Mazzoleni, Maurizio
Verlaan, Martin
Alfonso, Leonardo
Monego, Martina
Norbiato, Daniele
Ferri, Miche
Solomatine, Dimitri P.
- DOI
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10.5194/hess-21-839-2017
- URN
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urn:nbn:de:101:1-201711057428
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:21 MESZ
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Beteiligte
- Mazzoleni, Maurizio
- Verlaan, Martin
- Alfonso, Leonardo
- Monego, Martina
- Norbiato, Daniele
- Ferri, Miche
- Solomatine, Dimitri P.
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