Application of a degree-day snow depth model to a swiss glacierised catchment to improve neural network discharge forecasts
- Author
- SCHUMANN, G1 ; LAUENER, G2
[1] Department of Geography, University of Dundee, Nethergate, Dundee DD1 4HN, United Kingdom
[2] Grande Dixence SA, Sion, Switzerland - Source
Nordic hydrology. 2005, Vol 36, Num 2, pp 99-111, 13 p ; ref : 18 ref
- Publisher
- Nordic Association for Hydrology, Lyngby
- Publication country
- Denmark
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural network model HEP management degree-day model glacial runoff forecast reconstructing hourly discharge curves zonal snow depth
- Keyword (fr)
- Air Bassin versant Débit Eau fonte Eau surface Gestion ressource eau Modèle Neige Précision Ruissellement Réseau neuronal Température Alpes Suisses Suisse Valais Europe Alpes Europe Centrale
- Keyword (en)
- air drainage basins discharge meltwater surface water water resource management models snow accuracy runoff neural networks temperature Swiss Alps Switzerland Valais Switzerland Europe Alps Central Europe
- Keyword (es)
- Cuenca Gasto Agua deshielo Agua superficie Gestión recurso agua Modelo Nieve Precisión Brillo Red neuronal Temperatura Alpes Suizos Suiza Europa Alpes Europa central
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology / 001E01N01 Hydrology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16863273
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
10.2166/nh.2005.0008 
https://dx.doi.org/10.2166/nh.2005.0008
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