High-resolution analysis of 1 day extreme precipitation in Sicily

Sicily, a major Mediterranean island, has experienced several exceptional precipitation episodes and floods during the last century, with serious damage to human life and the environment. Long-term, rational planning of urban development is indispensable to protect the population and to avoid huge e...

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Main Authors: M. Maugeri, M. Brunetti, M. Garzoglio, C. Simolo
Format: Article
Language:English
Published: Copernicus Publications 2015-10-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/15/2347/2015/nhess-15-2347-2015.pdf
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spelling doaj-6ca4064714fd4b0aac219d5679e1e0032020-11-25T00:26:19ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812015-10-0115102347235810.5194/nhess-15-2347-2015High-resolution analysis of 1 day extreme precipitation in SicilyM. Maugeri0M. Brunetti1M. Garzoglio2C. Simolo3Department of Physics, Università degli Studi di Milano, Milan, ItalyInstitute of Atmospheric Sciences and Climate, CNR, Bologna, ItalyDepartment of Physics, Università degli Studi di Milano, Milan, ItalyInstitute of Atmospheric Sciences and Climate, CNR, Bologna, ItalySicily, a major Mediterranean island, has experienced several exceptional precipitation episodes and floods during the last century, with serious damage to human life and the environment. Long-term, rational planning of urban development is indispensable to protect the population and to avoid huge economic losses in the future. This requires a thorough knowledge of the distributional features of extreme precipitation over the complex territory of Sicily. In this study, we perform a detailed investigation of observed 1 day precipitation extremes and their frequency distribution, based on a dense data set of high-quality, homogenized station records in 1921–2005. We estimate very high quantiles (return levels) corresponding to 10-, 50- and 100-year return periods, as predicted by a generalized extreme value distribution. Return level estimates are produced on a regular high-resolution grid (30 arcsec) using a variant of regional frequency analysis combined with regression techniques. Results clearly reflect the complexity of this region, and show the high vulnerability of its eastern and northeastern parts as those prone to the most intense and potentially damaging events.http://www.nat-hazards-earth-syst-sci.net/15/2347/2015/nhess-15-2347-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Maugeri
M. Brunetti
M. Garzoglio
C. Simolo
spellingShingle M. Maugeri
M. Brunetti
M. Garzoglio
C. Simolo
High-resolution analysis of 1 day extreme precipitation in Sicily
Natural Hazards and Earth System Sciences
author_facet M. Maugeri
M. Brunetti
M. Garzoglio
C. Simolo
author_sort M. Maugeri
title High-resolution analysis of 1 day extreme precipitation in Sicily
title_short High-resolution analysis of 1 day extreme precipitation in Sicily
title_full High-resolution analysis of 1 day extreme precipitation in Sicily
title_fullStr High-resolution analysis of 1 day extreme precipitation in Sicily
title_full_unstemmed High-resolution analysis of 1 day extreme precipitation in Sicily
title_sort high-resolution analysis of 1 day extreme precipitation in sicily
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2015-10-01
description Sicily, a major Mediterranean island, has experienced several exceptional precipitation episodes and floods during the last century, with serious damage to human life and the environment. Long-term, rational planning of urban development is indispensable to protect the population and to avoid huge economic losses in the future. This requires a thorough knowledge of the distributional features of extreme precipitation over the complex territory of Sicily. In this study, we perform a detailed investigation of observed 1 day precipitation extremes and their frequency distribution, based on a dense data set of high-quality, homogenized station records in 1921–2005. We estimate very high quantiles (return levels) corresponding to 10-, 50- and 100-year return periods, as predicted by a generalized extreme value distribution. Return level estimates are produced on a regular high-resolution grid (30 arcsec) using a variant of regional frequency analysis combined with regression techniques. Results clearly reflect the complexity of this region, and show the high vulnerability of its eastern and northeastern parts as those prone to the most intense and potentially damaging events.
url http://www.nat-hazards-earth-syst-sci.net/15/2347/2015/nhess-15-2347-2015.pdf
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AT mbrunetti highresolutionanalysisof1dayextremeprecipitationinsicily
AT mgarzoglio highresolutionanalysisof1dayextremeprecipitationinsicily
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