Convective events pose a serious hazard to societies due to their associated heavy rainfalls, large hail, strong winds, and lightning.
Location and timing determination of convective precipitation is still a challenge of modern meteorology. Despite the good skills of current weather forecasting tools in the prediction of the large-scale environment facilitating the onset of convective phenomena, the multitude of spatial scales involved in such events makes their characterization, observation and forecast a difficult task. The problem is further complicated by their rapid temporal development, which lasts from minutes to a few hours depending on the specific case.
Recent research indicates that the predictability of these events can be strongly improved accounting for local meteorological observations.
The goal of ICREN is to enhance the forecast of deep convective events by properly exploiting the information made available by local standard and non-conventional observations of meteorological variables through an ad hoc developed integrated forecasting model.