Global extreme wave estimates and their sensitivity to the analysed data period and data sources

In the absence of wave measuring buoys operating over extended periods, wave hindcast data or satellite observations are indispensable for estimating global extreme wave heights. However, the results may depend on the analysed wind wave sources and the period's length. The sensitivity of the es...

Full description

Bibliographic Details
Published in:Marine Structures
Main Authors: Amarouche, Khalid, Akpinar, Adem, Kamranzad, Bahareh, Khames, Ghollame-Ellah-Yacine
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:https://strathprints.strath.ac.uk/86246/
https://strathprints.strath.ac.uk/86246/1/Amarouche_etal_MS_2023_Global_extreme_wave_estimates_and_their_sensitivity.pdf
https://doi.org/10.1016/j.marstruc.2023.103494
id ftustrathclyde:oai:strathprints.strath.ac.uk:86246
record_format openpolar
spelling ftustrathclyde:oai:strathprints.strath.ac.uk:86246 2024-04-28T08:32:04+00:00 Global extreme wave estimates and their sensitivity to the analysed data period and data sources Amarouche, Khalid Akpinar, Adem Kamranzad, Bahareh Khames, Ghollame-Ellah-Yacine 2023-11-30 text https://strathprints.strath.ac.uk/86246/ https://strathprints.strath.ac.uk/86246/1/Amarouche_etal_MS_2023_Global_extreme_wave_estimates_and_their_sensitivity.pdf https://doi.org/10.1016/j.marstruc.2023.103494 en eng https://strathprints.strath.ac.uk/86246/1/Amarouche_etal_MS_2023_Global_extreme_wave_estimates_and_their_sensitivity.pdf Amarouche, Khalid and Akpinar, Adem and Kamranzad, Bahareh <https://strathprints.strath.ac.uk/view/author/1463896.html> and Khames, Ghollame-Ellah-Yacine (2023 <https://strathprints.strath.ac.uk/view/year/2023.html>) Global extreme wave estimates and their sensitivity to the analysed data period and data sources. Marine Structures <https://strathprints.strath.ac.uk/view/publications/Marine_Structures.html>, 92. 103494. ISSN 0951-8339 cc_by_nc_nd Hydraulic engineering. Ocean engineering Naval architecture. Shipbuilding. Marine engineering Article PeerReviewed 2023 ftustrathclyde https://doi.org/10.1016/j.marstruc.2023.103494 2024-04-10T01:17:01Z In the absence of wave measuring buoys operating over extended periods, wave hindcast data or satellite observations are indispensable for estimating global extreme wave heights. However, the results may depend on the analysed wind wave sources and the period's length. The sensitivity of the estimated extreme significant wave heights (SWH) to the analysed data sources and periods is investigated in this study. Global extreme wave heights are estimated using ECMWF Reanalysis v5 data (ERA5), global wave hindcast developed based on Simulating WAves Nearshore forced by the Japanese 55-year Reanalysis (SWAN-JRA55), satellite altimeter observations, and long-term wave buoy measurements. Both Annual Maximum fitting to the Generalized Extreme Value Distribution (AM-GEV) and Peaks Over Threshold fitted to the Generalized Pareto Distribution (POT-GPD) models are used. The results show that the global extreme SWH estimates considerably depend on the analysed data sources. The relative differences observed between the analysed data sources are >20% in large parts of the world. Thus, the relative differences in extreme SWH are mainly lower by increasing the analysed data periods. However, they can reach 30% and are more critical using AM-GEV. Besides, by comparing the extreme values from reanalysis and hindcast wave data to those from long-term wave measurements, underestimations of up to 2 m are observed for a return period of 100 years in the North-West Atlantic and North-East Pacific. Article in Journal/Newspaper North West Atlantic University of Strathclyde Glasgow: Strathprints Marine Structures 92 103494
institution Open Polar
collection University of Strathclyde Glasgow: Strathprints
op_collection_id ftustrathclyde
language English
topic Hydraulic engineering. Ocean engineering
Naval architecture. Shipbuilding. Marine engineering
spellingShingle Hydraulic engineering. Ocean engineering
Naval architecture. Shipbuilding. Marine engineering
Amarouche, Khalid
Akpinar, Adem
Kamranzad, Bahareh
Khames, Ghollame-Ellah-Yacine
Global extreme wave estimates and their sensitivity to the analysed data period and data sources
topic_facet Hydraulic engineering. Ocean engineering
Naval architecture. Shipbuilding. Marine engineering
description In the absence of wave measuring buoys operating over extended periods, wave hindcast data or satellite observations are indispensable for estimating global extreme wave heights. However, the results may depend on the analysed wind wave sources and the period's length. The sensitivity of the estimated extreme significant wave heights (SWH) to the analysed data sources and periods is investigated in this study. Global extreme wave heights are estimated using ECMWF Reanalysis v5 data (ERA5), global wave hindcast developed based on Simulating WAves Nearshore forced by the Japanese 55-year Reanalysis (SWAN-JRA55), satellite altimeter observations, and long-term wave buoy measurements. Both Annual Maximum fitting to the Generalized Extreme Value Distribution (AM-GEV) and Peaks Over Threshold fitted to the Generalized Pareto Distribution (POT-GPD) models are used. The results show that the global extreme SWH estimates considerably depend on the analysed data sources. The relative differences observed between the analysed data sources are >20% in large parts of the world. Thus, the relative differences in extreme SWH are mainly lower by increasing the analysed data periods. However, they can reach 30% and are more critical using AM-GEV. Besides, by comparing the extreme values from reanalysis and hindcast wave data to those from long-term wave measurements, underestimations of up to 2 m are observed for a return period of 100 years in the North-West Atlantic and North-East Pacific.
format Article in Journal/Newspaper
author Amarouche, Khalid
Akpinar, Adem
Kamranzad, Bahareh
Khames, Ghollame-Ellah-Yacine
author_facet Amarouche, Khalid
Akpinar, Adem
Kamranzad, Bahareh
Khames, Ghollame-Ellah-Yacine
author_sort Amarouche, Khalid
title Global extreme wave estimates and their sensitivity to the analysed data period and data sources
title_short Global extreme wave estimates and their sensitivity to the analysed data period and data sources
title_full Global extreme wave estimates and their sensitivity to the analysed data period and data sources
title_fullStr Global extreme wave estimates and their sensitivity to the analysed data period and data sources
title_full_unstemmed Global extreme wave estimates and their sensitivity to the analysed data period and data sources
title_sort global extreme wave estimates and their sensitivity to the analysed data period and data sources
publishDate 2023
url https://strathprints.strath.ac.uk/86246/
https://strathprints.strath.ac.uk/86246/1/Amarouche_etal_MS_2023_Global_extreme_wave_estimates_and_their_sensitivity.pdf
https://doi.org/10.1016/j.marstruc.2023.103494
genre North West Atlantic
genre_facet North West Atlantic
op_relation https://strathprints.strath.ac.uk/86246/1/Amarouche_etal_MS_2023_Global_extreme_wave_estimates_and_their_sensitivity.pdf
Amarouche, Khalid and Akpinar, Adem and Kamranzad, Bahareh <https://strathprints.strath.ac.uk/view/author/1463896.html> and Khames, Ghollame-Ellah-Yacine (2023 <https://strathprints.strath.ac.uk/view/year/2023.html>) Global extreme wave estimates and their sensitivity to the analysed data period and data sources. Marine Structures <https://strathprints.strath.ac.uk/view/publications/Marine_Structures.html>, 92. 103494. ISSN 0951-8339
op_rights cc_by_nc_nd
op_doi https://doi.org/10.1016/j.marstruc.2023.103494
container_title Marine Structures
container_volume 92
container_start_page 103494
_version_ 1797589382065029120