Spatial downscaling of precipitation from GCMs for climate change projections using random cascades: A case study in Italy

We present a Stochastic Space Random Cascade (SSRC) approach to downscale precipitation from a General Circulation Models (GCMs), developed for the assessment of water resources under climate change scenarios for the Oglio river (1440 km2), in the Italian Alps. The snow‐fed Oglio river displays comp...

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Veröffentlicht in:	Water resources research 2011-03, Vol.47 (3), p.n/a
Hauptverfasser:	Groppelli, B., Bocchiola, D., Rosso, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Case studies Climate Climate change Climate models Data assimilation Discharge measurement Environmental assessment Environmental gradient Gaging stations GCMs General circulation models Hydrology Precipitation Rain Regression analysis River catchments Rivers Satellites Snow statistical downscaling Statistical methods Stream discharge Stream flow Water resources Watersheds
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