Trend Detection of Wave Parameters along the Italian Seas

In this paper, trend detection of wave parameters such as significant wave height, energy period, and wave power along the Italian seas was carried out. To this purpose, wave time series in the period 1979–2018 taken from the global atmospheric reanalysis ERA-Interim by European Center for Medium-Ra...

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Main Authors: Tommaso Caloiero, Francesco Aristodemo
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/12/1634
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author Tommaso Caloiero
Francesco Aristodemo
author_facet Tommaso Caloiero
Francesco Aristodemo
author_sort Tommaso Caloiero
collection DOAJ
description In this paper, trend detection of wave parameters such as significant wave height, energy period, and wave power along the Italian seas was carried out. To this purpose, wave time series in the period 1979–2018 taken from the global atmospheric reanalysis ERA-Interim by European Center for Medium-Range Weather Forecasts (ECMWF) were considered. Choosing a significance level equal to 90%, the use of the Mann–Kendall test allowed estimating ongoing trends on the mean values evaluated at yearly and seasonal scale. Furthermore, the assessment of the magnitude of the increase/decrease of the wave parameters was performed through the Theil–Sen estimator. The obtained results underlined that the mean values of the considered wave parameters were characterized by a high occurrence of positive trends in the different Italian seas. The findings of this study could have implications for studies of coastal flooding, shoreline variations, and port operations, and for the assessment of the performances of Wave Energy Converters.
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spelling doaj.art-84e37e69fef3408cb6e2e6b9c4e3b1af2023-11-21T23:34:52ZengMDPI AGWater2073-44412021-06-011312163410.3390/w13121634Trend Detection of Wave Parameters along the Italian SeasTommaso Caloiero0Francesco Aristodemo1National Research Council—Institute for Agricultural and Forest Systems in Mediterranean (CNR-ISAFoM), 87036 Rende, ItalyDepartment of Civil Engineering (DINCI), University of Calabria, 87036 Rende, ItalyIn this paper, trend detection of wave parameters such as significant wave height, energy period, and wave power along the Italian seas was carried out. To this purpose, wave time series in the period 1979–2018 taken from the global atmospheric reanalysis ERA-Interim by European Center for Medium-Range Weather Forecasts (ECMWF) were considered. Choosing a significance level equal to 90%, the use of the Mann–Kendall test allowed estimating ongoing trends on the mean values evaluated at yearly and seasonal scale. Furthermore, the assessment of the magnitude of the increase/decrease of the wave parameters was performed through the Theil–Sen estimator. The obtained results underlined that the mean values of the considered wave parameters were characterized by a high occurrence of positive trends in the different Italian seas. The findings of this study could have implications for studies of coastal flooding, shoreline variations, and port operations, and for the assessment of the performances of Wave Energy Converters.https://www.mdpi.com/2073-4441/13/12/1634Italian seastrend detectionsignificant wave heightenergy periodwave power
spellingShingle Tommaso Caloiero
Francesco Aristodemo
Trend Detection of Wave Parameters along the Italian Seas
Water
Italian seas
trend detection
significant wave height
energy period
wave power
title Trend Detection of Wave Parameters along the Italian Seas
title_full Trend Detection of Wave Parameters along the Italian Seas
title_fullStr Trend Detection of Wave Parameters along the Italian Seas
title_full_unstemmed Trend Detection of Wave Parameters along the Italian Seas
title_short Trend Detection of Wave Parameters along the Italian Seas
title_sort trend detection of wave parameters along the italian seas
topic Italian seas
trend detection
significant wave height
energy period
wave power
url https://www.mdpi.com/2073-4441/13/12/1634
work_keys_str_mv AT tommasocaloiero trenddetectionofwaveparametersalongtheitalianseas
AT francescoaristodemo trenddetectionofwaveparametersalongtheitalianseas