| DOI: | 10.3354/cr01517
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| Scopus记录号: | 2-s2.0-85052548412
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| 论文题名: | Rainfall variability from a dense rain gauge network in north-western Italy |
| 作者: | Baronetti A.; Acquaotta F.; Fratianni S.
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| 刊名: | Climate Research
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| ISSN: | 0936577X
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| 出版年: | 2018
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| 卷: | 75, 期:3 | | 起始页码: | 201
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| 结束页码: | 213
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| 语种: | 英语
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| 英文关键词: | Cluster analysis
; Extreme events
; Kriging
; Piedmont
; Rainfall
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| Scopus关键词: | cluster analysis
; extreme event
; homogeneity
; kriging
; precipitation assessment
; precipitation intensity
; quality control
; raingauge
; spatiotemporal analysis
; weather station
; Italy
; Piedmont [Italy]
|
| 英文摘要: | The aim of this study was to investigate the spatial and temporal distribution of rainfall in Piedmont, a region in north-western Italy, in order to evaluate the high intensity precipitation events that occurred in the 2004−2016 period. A daily precipitation series of 211 ground stations, belonging to 2 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. The annual rainfall events were spatialised, using the ordinary kriging method, considering the whole set of weather stations. Moreover, 5 climatic areas were identified through a cluster analysis method. In order to better understand the extreme rainfall events, the main climatic precipitation indices 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’s 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 lead to the conclusion that the investigated area is characterised 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 was recorded. © Inter-Research 2018. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/116270
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| Appears in Collections: | 气候减缓与适应
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| Recommended Citation: | |
Baronetti A.,Acquaotta F.,Fratianni S.. Rainfall variability from a dense rain gauge network in north-western Italy[J]. Climate Research,2018-01-01,75(3)
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