A framework to quantify GCM uncertainties for use in impact assessment studies
- Author
- WOLDEMESKEL, F. M1 ; SHARMA, A1 ; SIVAKUMAR, B1 2 ; MEHROTRA, R1
[1] School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
[2] Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States - Source
Journal of hydrology (Amsterdam). 2014, Vol 519, pp 1453-1465, 13 p ; b ; ref : 1 p.1/4
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Climate change Drought GCM uncertainty Standard precipitation index
- Keyword (fr)
- Changement climatique Climat Correction Erreur Extrapolation Fiabilité Fréquence Incertitude Modèle Précipitation atmosphérique Ressource eau Simulation numérique Sécheresse
- Keyword (en)
- climate change climate corrections errors extrapolation reliability frequency uncertainties models atmospheric precipitation water resources digital simulation drought
- Keyword (es)
- Clima Corrección Error Fiabilidad Frecuencia Modelo Precipitación atmosférica Recurso agua Simulación numérica Sequedad
- 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
- 29070000
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.2014.09.025 
https://dx.doi.org/10.1016/j.jhydrol.2014.09.025
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