Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?

Hydrology and Earth System Sciences

Volumn 21, Issue 2, 2017, Pages 839-861

  Mazzoleni, Maurizio ^a   Verlaan, Martin ^b   Alfonso, Leonardo ^a   Monego, Martina ^c   Norbiato, Daniele ^c   Ferri, Miche ^c   Solomatine, Dimitri P ^a,d  

^a UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

^b DELTARES   (Netherlands)

^c Alto Adriatico Water Authority   (Italy)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

FLOOD CONTROL; FORECASTING; STREAM FLOW; WATER LEVELS; WATER RESOURCES;

HYDROLOGICAL DATA; HYDROLOGICAL MODELLING; HYDROLOGICAL MODELS; HYDROLOGICAL VARIABLES; MONITORING STATIONS; PARTICIPATORY PROCESS; TECHNOLOGICAL ADVANCES; WATER RESOURCES MANAGEMENT;

FLOODS;

ACCURACY ASSESSMENT; DATA ASSIMILATION; FLOOD; FLOOD FORECASTING; HYDROLOGICAL MODELING; NUMERICAL MODEL; PARTICIPATORY APPROACH; RESOURCE MANAGEMENT; SENSOR; STREAMFLOW; WATER RESOURCE;

EID: 85012922076     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-21-839-2017     Document Type: Article

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