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Stochastic bias-correction of daily rainfall scenarios for hydrological applications

Articolo
Data di Pubblicazione:
2011
Abstract:
The accuracy of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes. In fact, the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows and groundwater recharge.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
climate change; downscaling; hydrological modelling
Elenco autori:
Portoghese, Ivan; Guyennon, NICOLAS DOMINIQUE
Autori di Ateneo:
GUYENNON NICOLAS DOMINIQUE
PORTOGHESE IVAN
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/405306
Pubblicato in:
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (PRINT)
Journal
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