A user-friendly software for modelling extreme values: EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization). (March 2023)

• Record Type: Journal Article
• Authors: De Luca, Davide Luciano; Napolitano, Francesco
• Is Part Of: Environmental modelling & software. Volume 161(2023)
• Publication Date: 2023-03
• Subjects: Rainfall annual maxima -- Extreme value distributions -- Statistical regionalization; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2023.105622
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The software EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization) is here proposed. It can represent a useful and quick tool for both regional and at-site statistical analyses of Annual Maxima (AM) time series. The innovative aspects (compared to other algorithms/softwares) are: 1) an easy comparison of sample skewness of several observed series with pre-determined Monte Carlo Prediction Intervals (depending on sample size) from hypothesized probability distributions, for obtaining a first important indication about possible clusters and regional values for some parameters, which can be afterward refined (if deemed as necessary) with specific and more complex algorithms/softwares proposed in literature; 2) for at-site analyses, the possibility to benefit from calibration of one function for some parameters of the others (thus significantly reducing the computational costs). EXTRASTAR was tested with the daily AM series for the Italian rain-gauge network, by implementing EV1, GEV and TCEV distributions. Highlights: EXTRASTAR is a user-friendly software for Extreme Value Analysis of hydrological Annual Maxima (AM) time series. EXTRASTAR provides a first important indication about possible clusters and regional values for some parameters. This work highlights the possibility of using a stationary model also in climate change contexts. EXTRASTAR also allows for reduced computational costs, by using the obtained estimates of EV1 parameters for GEV and TCEV.