The MUSIC project aims at developing a prototype of an integrated package that will improve the real time quantitative estimates of the precipitation field and the assessment of their uncertainty in particular for operational flood forecasting and warning purposes. Using an innovative Bayesian multivariate formulation, the system will combine together ground point measures based upon rain gauge tele-metering networks with meteorological radar precipitation estimates and with the estimates obtained from remotely sensed satellite images. The project will test the system on real world case studies on three test catchments the Reno and the Arno rivers in Italy and the Vistula river in Poland. The resulting DSS will also include new 3D Visual User Interface and Web dissemination capabilities aiming at better operational links between the forecasters and the end users.
Funding SchemeCSC - Cost-sharing contracts
50013 Campi Bisenzio
01 673 Warszawa
NE1 7RU Newcastle Upon Tyne