Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)
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Statistical downscaling with artificial neural networks
Statistical downscaling methods seek to model the relationship between large scale atmospheric circulation, on say a European scale, and climatic variables, such as temperature and precipitation, on a regional or subregional scale. Downscaling is an important area of research as it bridges the gap between predictions of future circulation generated by General Circulation Models (GCMs) and the e...
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عنوان ژورنال
دوره 5 شماره 2
صفحات 169- 182
تاریخ انتشار 2017-12-01
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