%0 Journal Article
%T Meteorological uncertainty and rainfall downscaling
%A J. von Hardenberg
%A L. Ferraris
%A N. Rebora
%A A. Provenzale
%J Nonlinear Processes in Geophysics (NPG)
%D 2007
%I Copernicus Publications
%X We explore the sources of forecast uncertainty in a mixed dynamical-stochastic ensemble prediction chain for small-scale precipitation, suitable for hydrological applications. To this end, we apply the stochastic downscaling method RainFARM to each member of ensemble limited-area forecasts provided by the COSMO-LEPS system. Aim of the work is to quantitatively compare the relative weights of the meteorological uncertainty associated with large-scale synoptic conditions (represented by the ensemble of dynamical forecasts) and of the uncertainty due to small-scale processes (represented by the set of fields generated by stochastic downscaling). We show that, in current operational configurations, small- and large-scale uncertainties have roughly the same weight. These results can be used to pinpoint the specific components of the prediction chain where a better estimate of forecast uncertainty is needed.
%U http://www.nonlin-processes-geophys.net/14/193/2007/npg-14-193-2007.html