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      Future behavior of wind wave extremes due to climate change

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          Abstract

          Extreme waves will undergo changes in the future when exposed to different climate change scenarios. These changes are evaluated through the analysis of significant wave height (H s) return values and are also compared with annual mean H s projections. Hourly time series are analyzed through a seven-member ensemble of wave climate simulations and changes are estimated in H s for return periods from 5 to 100 years by the end of the century under RCP4.5 and RCP8.5 scenarios. Despite the underlying uncertainty that characterizes extremes, we obtain robust changes in extreme H s over more than approximately 25% of the ocean surface. The results obtained conclude that increases cover wider areas and are larger in magnitude than decreases for higher return periods. The Southern Ocean is the region where the most robust increase in extreme H s is projected, showing local increases of over 2 m regardless the analyzed return period under RCP8.5 scenario. On the contrary, the tropical north Pacific shows the most robust decrease in extreme H s, with local decreases of over 1.5 m. Relevant divergences are found in several ocean regions between the projected behavior of mean and extreme wave conditions. For example, an increase in H s return values and a decrease in annual mean H s is found in the SE Indian, NW Atlantic and NE Pacific. Therefore, an extrapolation of the expected change in mean wave conditions to extremes in regions presenting such divergences should be adopted with caution, since it may lead to misinterpretation when used for the design of marine structures or in the evaluation of coastal flooding and erosion.

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          EDF Statistics for Goodness of Fit and Some Comparisons

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            An Introduction to Statistical Modeling of Extreme Values

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              Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching

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                Author and article information

                Contributors
                menendezm@unican.es
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 April 2021
                12 April 2021
                2021
                : 11
                : 7869
                Affiliations
                GRID grid.7821.c, ISNI 0000 0004 1770 272X, IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, ; Santander, Spain
                Article
                86524
                10.1038/s41598-021-86524-4
                8042069
                33414495
                aedd9de3-93fd-4186-8725-a9659ca73e6e
                © The Author(s) 2021

                Open Access 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 September 2020
                : 15 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004837, Ministerio de Ciencia e Innovación;
                Award ID: FPU17/06203
                Award ID: RYC−2014-6469
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100011033, Agencia Estatal de Investigación;
                Award ID: EXCEED RTI2018-096449-B-I00
                Award ID: EXCEED RTI2018-096449-B-I00
                Award Recipient :
                Funded by: ERA4CS/ERA-NET co-funded by the European Union
                Award ID: ECLISEA 690462
                Award ID: ECLISEA 690462
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                climate change,projection and prediction,ocean sciences,civil engineering,statistics
                Uncategorized
                climate change, projection and prediction, ocean sciences, civil engineering, statistics

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