Web based 3D visual user interface to a flood forecasting system

AVS in collaboration with Linkoping University are developing a Visual User Interface and Web-enabled advanced 3D visualization to a flood forecasting system in an EC funded project named MUSIC. The project develops state-ofthe-art precipitation estimation algorithms, assess their uncertainty and use an innovative combination of the output data of the three independent data sources radar, satellite and rain gauges. The basic role of any real-time quantitative precipitation and flood forecasting system lies in its capability, within the forecasting horizon, of assessing and reducing the uncertainty in forecasts of future events in order to allow improved warnings and operational decisions for the reduction of flood risk. In line with thls requirement, the MUSIC project is to develop an innovative technique for improving the weather radar, weather satellite and rain gauge derived precipitation data, taken as independent measurement source. Another key objective is seeking to improve the communication and the dissemination of results to the authorities involved in real-time flood forecasting and management. The project tests the system on real world case studies on two test catchments the Reno and Arno rivers in Italy. AVS and LiU are developing the innovative 3D Visual User Interface that will enable the users to take a more active role in the process of visualising and investigating flood forecasting, allowing them to better understand the data and uncertainty behind the forecasting system. LiU also provides easy-to-use collaborative visualization tools enabling the meteorologists, hydrologists, operations managers and the civil defence manager to view and discuss the forecasting results in real time across the network before finally interacting with the media, the police, other officials and the public. The system will considerably improve the flash flood forecasting reliability and precision and will shorten the time required to detect events that lead to catastrophic flood events.