A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy

In this work, a comprehensive methodology for trend investigation in rainfall time series, in a climate-change context, is proposed. The crucial role played by a Stochastic Rainfall Generator (SRG) is highlighted. Indeed, SRG application is particularly suitable to obtain rainfall series that are re...

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Main Authors: Davide Luciano De Luca, Andrea Petroselli, Luciano Galasso
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/12/1292
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author Davide Luciano De Luca
Andrea Petroselli
Luciano Galasso
author_facet Davide Luciano De Luca
Andrea Petroselli
Luciano Galasso
author_sort Davide Luciano De Luca
collection DOAJ
description In this work, a comprehensive methodology for trend investigation in rainfall time series, in a climate-change context, is proposed. The crucial role played by a Stochastic Rainfall Generator (SRG) is highlighted. Indeed, SRG application is particularly suitable to obtain rainfall series that are representative of future rainfall series at hydrological scales. Moreover, the methodology investigates the climate change effects on several timescales, considering the well-known Mann–Kendall test and analyzing the variation of probability distributions of extremes and hazard. The hypothesis is that the effects of climate changes could be more evident only for specific time resolutions, and only for some considered aspects. Applications regarded the rainfall time series of the Viterbo rain gauge in Central Italy.
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spelling doaj.art-9eb8592ff9ba4b918327781f95a701522023-11-20T22:56:52ZengMDPI AGAtmosphere2073-44332020-11-011112129210.3390/atmos11121292A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central ItalyDavide Luciano De Luca0Andrea Petroselli1Luciano Galasso2Department of Informatics, Modelling, Electronics and System Engineering, University of Calabria, 87036 Arcavacata di Rende, ItalyDepartment of Economy, Engineering, Society and Business (DEIM), Tuscia University, 01100 Viterbo, ItalyDepartment of Informatics, Modelling, Electronics and System Engineering, University of Calabria, 87036 Arcavacata di Rende, ItalyIn this work, a comprehensive methodology for trend investigation in rainfall time series, in a climate-change context, is proposed. The crucial role played by a Stochastic Rainfall Generator (SRG) is highlighted. Indeed, SRG application is particularly suitable to obtain rainfall series that are representative of future rainfall series at hydrological scales. Moreover, the methodology investigates the climate change effects on several timescales, considering the well-known Mann–Kendall test and analyzing the variation of probability distributions of extremes and hazard. The hypothesis is that the effects of climate changes could be more evident only for specific time resolutions, and only for some considered aspects. Applications regarded the rainfall time series of the Viterbo rain gauge in Central Italy.https://www.mdpi.com/2073-4433/11/12/1292climate change effectsstochastic rainfall generatorMann–Kendall testhazard evaluation
spellingShingle Davide Luciano De Luca
Andrea Petroselli
Luciano Galasso
A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
Atmosphere
climate change effects
stochastic rainfall generator
Mann–Kendall test
hazard evaluation
title A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
title_full A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
title_fullStr A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
title_full_unstemmed A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
title_short A Transient Stochastic Rainfall Generator for Climate Changes Analysis at Hydrological Scales in Central Italy
title_sort transient stochastic rainfall generator for climate changes analysis at hydrological scales in central italy
topic climate change effects
stochastic rainfall generator
Mann–Kendall test
hazard evaluation
url https://www.mdpi.com/2073-4433/11/12/1292
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