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...
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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 |
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1797589382065029120 |