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Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100
Ocean wave climate, including wind waves and swells, is essential to human marine activities and global or regional climate systems, and is highly related to harnessing wave energy resources. In this study, a global 3-hourly instantaneous wave dataset was established with the third-generation wave m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119176/ https://www.ncbi.nlm.nih.gov/pubmed/37080986 http://dx.doi.org/10.1038/s41597-023-02151-w |
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author | Jiang, Xingjie Xie, Botao Bao, Ying Song, Zhenya |
author_facet | Jiang, Xingjie Xie, Botao Bao, Ying Song, Zhenya |
author_sort | Jiang, Xingjie |
collection | PubMed |
description | Ocean wave climate, including wind waves and swells, is essential to human marine activities and global or regional climate systems, and is highly related to harnessing wave energy resources. In this study, a global 3-hourly instantaneous wave dataset was established with the third-generation wave model MASNUM-WAM and wind forcings derived from the products of the First Institute of Oceanography-Earth System Model version 2.0, the climate model coupled with wave model, under the unified framework of the Coupled Model Intercomparison Project phase 6. This dataset contains 17 wave parameters, including the information associated with wave energy and spectral shape geometries, from one historical (1950–2014) simulation and three future (2015–2100) scenario experiments (ssp125, ssp245, and ssp585). Moreover, all the parameters can be accessed separately in the form of wind waves and swells. The historical results show that the simulated wave characteristics agree well with satellite observations and the ERA5 reanalysis products. This dataset can provide the community with a unique and informative data source for wave climate and wave energy resource research. |
format | Online Article Text |
id | pubmed-10119176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101191762023-04-22 Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 Jiang, Xingjie Xie, Botao Bao, Ying Song, Zhenya Sci Data Data Descriptor Ocean wave climate, including wind waves and swells, is essential to human marine activities and global or regional climate systems, and is highly related to harnessing wave energy resources. In this study, a global 3-hourly instantaneous wave dataset was established with the third-generation wave model MASNUM-WAM and wind forcings derived from the products of the First Institute of Oceanography-Earth System Model version 2.0, the climate model coupled with wave model, under the unified framework of the Coupled Model Intercomparison Project phase 6. This dataset contains 17 wave parameters, including the information associated with wave energy and spectral shape geometries, from one historical (1950–2014) simulation and three future (2015–2100) scenario experiments (ssp125, ssp245, and ssp585). Moreover, all the parameters can be accessed separately in the form of wind waves and swells. The historical results show that the simulated wave characteristics agree well with satellite observations and the ERA5 reanalysis products. This dataset can provide the community with a unique and informative data source for wave climate and wave energy resource research. Nature Publishing Group UK 2023-04-20 /pmc/articles/PMC10119176/ /pubmed/37080986 http://dx.doi.org/10.1038/s41597-023-02151-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Jiang, Xingjie Xie, Botao Bao, Ying Song, Zhenya Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title | Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title_full | Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title_fullStr | Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title_full_unstemmed | Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title_short | Global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
title_sort | global 3-hourly wind-wave and swell data for wave climate and wave energy resource research from 1950 to 2100 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119176/ https://www.ncbi.nlm.nih.gov/pubmed/37080986 http://dx.doi.org/10.1038/s41597-023-02151-w |
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