Analysis and visualization of meteorological emergencies

The capability to sample and store meteorological information across a wide area allows to analyze the historical evolution of data and to extract events that are potentially bound to emergency and critical events. In this contribution we detect events when a station shows values that are sensibly different from the neighbor stations. We check the co-occurrence of these events with emergency reported in web news. Results are encouraging and show how the statistical analysis can allow to forecast emergencies and to reduce the impact of critical situations.