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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...

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Autores principales: Jiang, Xingjie, Xie, Botao, Bao, Ying, Song, Zhenya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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