Real-time flow forecasting in the absence of quantitative precipitation forecasts : A multi-model approach
- Author
- GOSWAMI, Monomoy1 ; O'CONNOR, Kieran M1
[1] Department of Engineering Hydrology, National University of Ireland, Galway, Ireland - Source
Journal of hydrology (Amsterdam). 2007, Vol 334, Num 1-2, pp 125-140, 16 p ; ref : 3/4 p
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Autoregressive Consensus forecast Direct multi-step Neural network Output combination Recursive multi-step
- Keyword (fr)
- Bassin versant Efficacité Erreur Fonction transfert Modèle Plomb Pluie Précipitation Rivière Ruissellement Réseau neuronal Eire France Europe Europe Ouest
- Keyword (en)
- drainage basins efficiency errors transfer functions models lead rainfall precipitation rivers runoff neural networks Ireland France Europe Western Europe
- Keyword (es)
- Cuenca Error Función traspaso Modelo Plomo Lluvia Precipitación Río Brillo Red neuronal Eire Francia Europa Europa del Oeste
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18502853
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.jhydrol.2006.10.002 
https://dx.doi.org/10.1016/j.jhydrol.2006.10.002
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