Stochastic bias-correction of daily rainfall scenarios for hydrological applications
Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
climate change; downscaling; hydrological modelling
List of contributors:
Portoghese, Ivan; Guyennon, NICOLAS DOMINIQUE
Published in: