Statistical Downscaling of River Runoff in a Semi Arid Catchment

Linear and non-linear statistical ‘downscaling’ study is applied to relate large-scale climate information from a general circulation model (GCM) to local-scale river flows in west Iran. This study aims to investigate and evaluate the more promising downscaling techniques, and provides a through int...

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Veröffentlicht in:	Water resources management 2013, Vol.27 (1), p.117-136
Hauptverfasser:	Samadi, S., Carbone, Gregory J., Mahdavi, M., Sharifi, F., Bihamta, M. R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Arid zones Atmospheric Sciences Atmospherics Calibration Catchment scale Catchments Circulation Civil Engineering Climate change Datasets Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Exact sciences and technology Freshwater General circulation models Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrologic models Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Learning theory Natural resources Neural networks Precipitation Projection Reduction River flow Rivers Runoff Semiarid lands Semifabricated products Statistical analysis Statistical methods Statistical models Stream discharge Stream flow Studies Temperature Water resources Water resources management
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