The aim of this study was to investigate the spatial and temporal distribution of rainfall in Piedmont, a region in the North -West of Italy, to evaluate the high intensity precipitation events that occurred in the 2004-2016 period. A daily precipitation series of 211 ground stations, belonging to two different meteorological monitoring networks, were analysed. As at first step, a quality control was performed on the daily precipitation series to evaluate the homogeneity of the series. According to the whole set of weather stations, annual rainfalls using the ordinary Kriging method were spatialized. Moreover, five climatic areas were identified through a cluster analysis method. To better understand the extreme rainfall events, the main climatic indices of precipitation were calculated, using ClimPACT2 software and the thresholds by percentile were calculated for each cluster on a daily scale to identify the different precipitation types (weak, medium, heavy, very heavy (R95p)). Non-parametric (Kolmogorov–Smirnov and Wilcoxon) and parametric (student t-test) tests were applied to the annual and seasonal number of events observed for each rainfall class in order to study the statistical relationship between the clusters. The results have led to the conclusion that the investigated area is characterized by an increase in precipitation. Considering the extreme events this methodology shows that even though the north sector is the wettest, central Piedmont is the area in which the highest number of extreme events were recorded.
Rainfall variability from a dense rain gauge network in North -West Italy
Baronetti A;Acquaotta F;Fratianni S
2018-01-01
Abstract
The aim of this study was to investigate the spatial and temporal distribution of rainfall in Piedmont, a region in the North -West of Italy, to evaluate the high intensity precipitation events that occurred in the 2004-2016 period. A daily precipitation series of 211 ground stations, belonging to two different meteorological monitoring networks, were analysed. As at first step, a quality control was performed on the daily precipitation series to evaluate the homogeneity of the series. According to the whole set of weather stations, annual rainfalls using the ordinary Kriging method were spatialized. Moreover, five climatic areas were identified through a cluster analysis method. To better understand the extreme rainfall events, the main climatic indices of precipitation were calculated, using ClimPACT2 software and the thresholds by percentile were calculated for each cluster on a daily scale to identify the different precipitation types (weak, medium, heavy, very heavy (R95p)). Non-parametric (Kolmogorov–Smirnov and Wilcoxon) and parametric (student t-test) tests were applied to the annual and seasonal number of events observed for each rainfall class in order to study the statistical relationship between the clusters. The results have led to the conclusion that the investigated area is characterized by an increase in precipitation. Considering the extreme events this methodology shows that even though the north sector is the wettest, central Piedmont is the area in which the highest number of extreme events were recorded.File | Dimensione | Formato | |
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