Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/35221
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
Peer Review Status: | Refereed |
Title: | Improved estimates of extreme wave conditions in coastal areas from calibrated global reanalyses |
Author(s): | Fanti, Valeria Ferreira, Óscar Kümmerer, Vincent Loureiro, Carlos |
Contact Email: | carlos.loureiro@stir.ac.uk |
Keywords: | Natural hazards Physical oceanography |
Issue Date: | 2023 |
Date Deposited: | 10-May-2023 |
Citation: | Fanti V, Ferreira Ó, Kümmerer V & Loureiro C (2023) Improved estimates of extreme wave conditions in coastal areas from calibrated global reanalyses. <i>Communications Earth & Environment</i>, 4 (1), Art. No.: 151. https://doi.org/10.1038/s43247-023-00819-0 |
Abstract: | The analysis of extreme wave conditions is crucial for understanding and mitigating coastal hazards. As global wave reanalyses allow to extend the evaluation of wave conditions to periods and locations not covered by in-situ measurements, their direct use is common. However, in coastal areas, the accuracy of global reanalyses is lower, particularly for extreme waves. Here we compare two leading global wave reanalyses against 326 coastal buoys, demonstrating that both reanalyses consistently underestimate significant wave height, 50-year return period and mean wave period in most coastal locations around the world. Different calibration methods applied to improve the modelled extreme waves, resulting in a 53% reduction in the underestimation of extreme wave heights. Importantly, the 50-year return period for significant wave height is improved on average by 55%. Extreme wave statistics determined for coastal areas directly from global wave reanalyses require careful consideration, with calibration largely reducing uncertainty and improving confidence. |
DOI Link: | 10.1038/s43247-023-00819-0 |
Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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s43247-023-00819-0.pdf | Fulltext - Published Version | 2.76 MB | Adobe PDF | View/Open |
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