Extreme Wave Analysis by Integrating Model and Wave Buoy Data
Estimating the extreme values of significant wave height (HS), generally described by the HS return period TR function HS(TR) and by its confidence intervals, is a necessity in many branches of coastal science and engineering. The availability of indirect wave data generated by global and regional w...
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ftdoajarticles:oai:doaj.org/article:5b3359c38ed6467eb241e6441036b140 2023-05-15T17:33:46+02:00 Extreme Wave Analysis by Integrating Model and Wave Buoy Data Fabio Dentale Pierluigi Furcolo Eugenio Pugliese Carratelli Ferdinando Reale Pasquale Contestabile Giuseppe Roberto Tomasicchio 2018-03-01T00:00:00Z https://doi.org/10.3390/w10040373 https://doaj.org/article/5b3359c38ed6467eb241e6441036b140 EN eng MDPI AG http://www.mdpi.com/2073-4441/10/4/373 https://doaj.org/toc/2073-4441 2073-4441 doi:10.3390/w10040373 https://doaj.org/article/5b3359c38ed6467eb241e6441036b140 Water, Vol 10, Iss 4, p 373 (2018) wave extreme events Mediterranean Sea North Atlantic Spanish coasts Gulf of Mexico wave modeling small scale storm variations Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 article 2018 ftdoajarticles https://doi.org/10.3390/w10040373 2022-12-31T16:27:04Z Estimating the extreme values of significant wave height (HS), generally described by the HS return period TR function HS(TR) and by its confidence intervals, is a necessity in many branches of coastal science and engineering. The availability of indirect wave data generated by global and regional wind and wave model chains have brought radical changes to the estimation procedures of such probability distribution—weather and wave modeling systems are routinely run all over the world, and HS time series for each grid point are produced and published after assimilation (analysis) of the ground truth. However, while the sources of such indirect data are numerous, and generally of good quality, many aspects of their procedures are hidden to the users, who cannot evaluate the reliability and the limits of the HS(TR) deriving from such data. In order to provide a simple engineering tool to evaluate the probability of extreme sea-states as well as the quality of such estimates, we propose here a procedure based on integrating HS time series generated by model chains with those recorded by wave buoys in the same area. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Water 10 4 373 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
wave extreme events Mediterranean Sea North Atlantic Spanish coasts Gulf of Mexico wave modeling small scale storm variations Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
spellingShingle |
wave extreme events Mediterranean Sea North Atlantic Spanish coasts Gulf of Mexico wave modeling small scale storm variations Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Fabio Dentale Pierluigi Furcolo Eugenio Pugliese Carratelli Ferdinando Reale Pasquale Contestabile Giuseppe Roberto Tomasicchio Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
topic_facet |
wave extreme events Mediterranean Sea North Atlantic Spanish coasts Gulf of Mexico wave modeling small scale storm variations Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
description |
Estimating the extreme values of significant wave height (HS), generally described by the HS return period TR function HS(TR) and by its confidence intervals, is a necessity in many branches of coastal science and engineering. The availability of indirect wave data generated by global and regional wind and wave model chains have brought radical changes to the estimation procedures of such probability distribution—weather and wave modeling systems are routinely run all over the world, and HS time series for each grid point are produced and published after assimilation (analysis) of the ground truth. However, while the sources of such indirect data are numerous, and generally of good quality, many aspects of their procedures are hidden to the users, who cannot evaluate the reliability and the limits of the HS(TR) deriving from such data. In order to provide a simple engineering tool to evaluate the probability of extreme sea-states as well as the quality of such estimates, we propose here a procedure based on integrating HS time series generated by model chains with those recorded by wave buoys in the same area. |
format |
Article in Journal/Newspaper |
author |
Fabio Dentale Pierluigi Furcolo Eugenio Pugliese Carratelli Ferdinando Reale Pasquale Contestabile Giuseppe Roberto Tomasicchio |
author_facet |
Fabio Dentale Pierluigi Furcolo Eugenio Pugliese Carratelli Ferdinando Reale Pasquale Contestabile Giuseppe Roberto Tomasicchio |
author_sort |
Fabio Dentale |
title |
Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
title_short |
Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
title_full |
Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
title_fullStr |
Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
title_full_unstemmed |
Extreme Wave Analysis by Integrating Model and Wave Buoy Data |
title_sort |
extreme wave analysis by integrating model and wave buoy data |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/w10040373 https://doaj.org/article/5b3359c38ed6467eb241e6441036b140 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Water, Vol 10, Iss 4, p 373 (2018) |
op_relation |
http://www.mdpi.com/2073-4441/10/4/373 https://doaj.org/toc/2073-4441 2073-4441 doi:10.3390/w10040373 https://doaj.org/article/5b3359c38ed6467eb241e6441036b140 |
op_doi |
https://doi.org/10.3390/w10040373 |
container_title |
Water |
container_volume |
10 |
container_issue |
4 |
container_start_page |
373 |
_version_ |
1766132385758314496 |