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A global ensemble of ocean wave climate projections from CMIP5-driven models
This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21(st) Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of signifi...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101334/ https://www.ncbi.nlm.nih.gov/pubmed/32221302 http://dx.doi.org/10.1038/s41597-020-0446-2 |
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author | Morim, Joao Trenham, Claire Hemer, Mark Wang, Xiaolan L. Mori, Nobuhito Casas-Prat, Mercè Semedo, Alvaro Shimura, Tomoya Timmermans, Ben Camus, Paula Bricheno, Lucy Mentaschi, Lorenzo Dobrynin, Mikhail Feng, Yang Erikson, Li |
author_facet | Morim, Joao Trenham, Claire Hemer, Mark Wang, Xiaolan L. Mori, Nobuhito Casas-Prat, Mercè Semedo, Alvaro Shimura, Tomoya Timmermans, Ben Camus, Paula Bricheno, Lucy Mentaschi, Lorenzo Dobrynin, Mikhail Feng, Yang Erikson, Li |
author_sort | Morim, Joao |
collection | PubMed |
description | This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21(st) Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (H(S)), mean wave period (T(m)), and mean wave direction (θ(m)) computed over time-slices 1979–2004 and 2081–2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications. |
format | Online Article Text |
id | pubmed-7101334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71013342020-04-06 A global ensemble of ocean wave climate projections from CMIP5-driven models Morim, Joao Trenham, Claire Hemer, Mark Wang, Xiaolan L. Mori, Nobuhito Casas-Prat, Mercè Semedo, Alvaro Shimura, Tomoya Timmermans, Ben Camus, Paula Bricheno, Lucy Mentaschi, Lorenzo Dobrynin, Mikhail Feng, Yang Erikson, Li Sci Data Data Descriptor This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21(st) Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (H(S)), mean wave period (T(m)), and mean wave direction (θ(m)) computed over time-slices 1979–2004 and 2081–2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications. Nature Publishing Group UK 2020-03-27 /pmc/articles/PMC7101334/ /pubmed/32221302 http://dx.doi.org/10.1038/s41597-020-0446-2 Text en © The Author(s) 2020 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 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Morim, Joao Trenham, Claire Hemer, Mark Wang, Xiaolan L. Mori, Nobuhito Casas-Prat, Mercè Semedo, Alvaro Shimura, Tomoya Timmermans, Ben Camus, Paula Bricheno, Lucy Mentaschi, Lorenzo Dobrynin, Mikhail Feng, Yang Erikson, Li A global ensemble of ocean wave climate projections from CMIP5-driven models |
title | A global ensemble of ocean wave climate projections from CMIP5-driven models |
title_full | A global ensemble of ocean wave climate projections from CMIP5-driven models |
title_fullStr | A global ensemble of ocean wave climate projections from CMIP5-driven models |
title_full_unstemmed | A global ensemble of ocean wave climate projections from CMIP5-driven models |
title_short | A global ensemble of ocean wave climate projections from CMIP5-driven models |
title_sort | global ensemble of ocean wave climate projections from cmip5-driven models |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101334/ https://www.ncbi.nlm.nih.gov/pubmed/32221302 http://dx.doi.org/10.1038/s41597-020-0446-2 |
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