Combining semi-distributed process-based and data-driven models in flow simulation: A case study of the Meuse river basin

Hydrology and Earth System Sciences

Volumn 13, Issue 9, 2009, Pages 1619-1634

  Corzo, G A ^a   Solomatine, D P ^a,c   Hidayat, H ^a,e   De Wit, M ^b   Werner, M ^a,b   Uhlenbrook, S ^a,d   Price, R K ^a,c  

^a UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

^b DELTARES   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^d VU UNIVERSITY AMSTERDAM   (Netherlands)

^e INDONESIAN INSTITUTE OF SCIENCES   (Indonesia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; FLOW MODELING; FLOW PATTERN; FORECASTING METHOD; PERFORMANCE ASSESSMENT; RIVER BASIN;

MEUSE BASIN;

HEPATITIS B VIRUS;

EID: 77951856333     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-13-1619-2009     Document Type: Article

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