Nowcasting and assessing thunderstorm risk on the Lombardy region (Italy)

The problem of severe thunderstorm risk in the Lombardy region (Italy) is serious. In fact during the warm season many thunderstorms (TS) occur in high density populated area located between the river Po and the Alps. In the year 2003, about 90 TS caused damage to people, houses, cars, agriculture and electrical lines. About 30 municipalities undergo damage by tornadoes. The 2003 summer was not particularly anomalous with respect to others for TS activity. In this region storms are well detected by some C-band radars and the Meteosat satellites, but the study of the correlation between these variables and the TS severity needs the collection of many met-data at the ground. Unfortunately the lack of a fine mesh met-station network forces the use of local press news or subjective reports to identify the impact of TS. Since 2006 ERSE has been collaborating with the Lombardy Region - Civil Protection Service/Office - in developing and testing a system to detect and nowcast severe thunderstorms, STAF (Storm Track Alert and Forecast). STAF is a nowcasting tool based on Radar and MSG (Meteosat Second Generation) data that selects only severe TS, tracks them and produces alert messages to users. In order to evaluate the severity of a TS, a crucial issue for STAF is the correlation between variables detected by the remote-sensing instruments and the effects at the ground. The paper describes a method to classify the severity of a TS by computing an index named "probability of damage" (PD). The index has been carried out by means of a storm archive, where radar and satellite data are stored together with damages reports from newspapers, all collected in 2003 summer. The index has been verified during the 2009 summer, when STAF was applied in a field test involving a group of Civil Protection observers and users. The results of this test are reported in the paper. The test has been also an occasion for verifying the effectiveness of information provided by STAF to selected people locally responsible for public alert and rescue in the case of a severe weather event. (C) 2010 Elsevier B.V. All rights reserved.