Severe hydrometeorological events in Liguria region: calibration and validation of a meteorological indices-based forecasting operational tool

Meteorological applications

article

Maria Laura Poletti¹  Antonio Parodi¹  Barbara Turato³ 

[1] CIMA Research Foundation;Università degli Studi di Genova;ARPAL − Agenzia Regionale per la Protezione dell'Ambiente Ligure

关键词: thunderstorms;    forecasting systems;    decision support;    indices;    parameters;    Liguria;   

DOI  :  10.1002/met.1653

学科分类：社会科学、人文和艺术（综合）

来源: Wiley

【 摘 要 】

Severe and organized thunderstorms are historically responsible for high-impact hydrometeorological events in the western Mediterranean area (Spain, France and Italy). This study presents a meteorological indices-based forecasting tool developed by the Meteo-Hydrological Functional Center of Civil Protection of Liguria Region for the prediction of these phenomena. The tool, in the form of a checklist, takes into account all the physical processes and thermodynamic ingredients driving the formation and the spatio-temporal evolution of thunderstorms and their level of organization. The study was carried out on a series of events occurring in 2009–2014 to assess the checklist performance and identify the most relevant parameters and variables from a predictive ability standpoint. Some indices were found to be useful for general thunderstorm recognition but not necessarily for thunderstorms impacting most from a socio-economic standpoint, namely strong and organized ones; other parameters exhibited a higher degree of reliability for the identification of severe and organized phenomena in Liguria. Furthermore, the analysis was useful for the identification of a seasonal dependence for many variables, for the recalibration of some thresholds in a new version of the checklist and for the identification of local patterns of low level winds favourable to the development and maintenance of well organized and stationary convective systems. The assessment of the new checklist for all the events in 2009–2014 showed a significant enhancement of the performance and helped to identify and sort out the role of each parameter better.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND