Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly
non-linear model components involved in such a system. Much effort has been and is being …

The regional hydrological system is extremely complex because it is affected not only by
physical factors but also by human dimensions. And the hydrological models play a very …

No consensus has yet been reached regarding the influence of rainfall spatial variability on
runoff modelling at catchment outlets. To eliminate modelling and measurement errors, in …

The coordination of social economy, water, and ecology is an important foundation for
sustainable development. However, the interaction among social economy, water, and …

The use of Quantitative Precipitation Forecasts (QPFs) to model run-off and flow processes
in urban areas is a challenging problem, as rainfall data with high spatial and temporal …

The goal of this study is to diagnose the manner in which radar‐rainfall input affects peak
flow simulation uncertainties across scales. We used the distributed physically based …

Legislative drivers for water quality and urban flood risk are driving a growing need to
accurately determine the performance of urban drainage systems in near real time. Rainfall …

The COST‐731 action is focused on uncertainty propagation in hydrometeorologica l
forecasting chains. Goals and activities of the action Working Group 2 are presented. Five …

This work presents the results of the implementation of a probabilistic system to model the
uncertainty associated to radar rainfall (RR) estimates and the way this uncertainty …

The effects of spatial variability of rainfall, geomorphology, and climatology of precipitation
and temperature on the hydrologic response remain poorly understood. This study …