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Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research
Ocean surface waves are essential to navigation safety, coastal activities, and climate systems. Numerical simulations are still the primary methods used in wave climate research, especially in future climate change scenarios. Recently, First Institute of Oceanography-Earth System Model version 2.0...
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/PMC7351744/ https://www.ncbi.nlm.nih.gov/pubmed/32651382 http://dx.doi.org/10.1038/s41597-020-0566-8 |
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author | Song, Zhenya Bao, Ying Zhang, Danqi Shu, Qi Song, Yajuan Qiao, Fangli |
author_facet | Song, Zhenya Bao, Ying Zhang, Danqi Shu, Qi Song, Yajuan Qiao, Fangli |
author_sort | Song, Zhenya |
collection | PubMed |
description | Ocean surface waves are essential to navigation safety, coastal activities, and climate systems. Numerical simulations are still the primary methods used in wave climate research, especially in future climate change scenarios. Recently, First Institute of Oceanography-Earth System Model version 2.0 (FIO-ESM v2.0), a global climate model coupled with an ocean wave model, was carried out the Coupled Model Intercomparison Project phase 6 (CMIP6) experiments. Here, we present the global monthly-mean and 3-hourly instantaneous wave parameter dataset from the FIO-ESM v2.0 CMIP6 experiments, including 700-year piControl, 165-year historical, three 86-year future scenarios (ssp125, ssp245, and ssp585, respectively), and two 150-year climate sensitive experiments (1pctCO2 and abrupt-4xCO2) simulations. Historical results show that the model can capture the basic wave climate features under climate change. These unique centuries of global wave data are from a fully coupled system and can provide the community with a vital long-term data source for scientific and engineering applications, such as wave climate research, wave-related process studies and parameterizations, as well as coastal and near-shore industry designs. |
format | Online Article Text |
id | pubmed-7351744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73517442020-07-13 Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research Song, Zhenya Bao, Ying Zhang, Danqi Shu, Qi Song, Yajuan Qiao, Fangli Sci Data Data Descriptor Ocean surface waves are essential to navigation safety, coastal activities, and climate systems. Numerical simulations are still the primary methods used in wave climate research, especially in future climate change scenarios. Recently, First Institute of Oceanography-Earth System Model version 2.0 (FIO-ESM v2.0), a global climate model coupled with an ocean wave model, was carried out the Coupled Model Intercomparison Project phase 6 (CMIP6) experiments. Here, we present the global monthly-mean and 3-hourly instantaneous wave parameter dataset from the FIO-ESM v2.0 CMIP6 experiments, including 700-year piControl, 165-year historical, three 86-year future scenarios (ssp125, ssp245, and ssp585, respectively), and two 150-year climate sensitive experiments (1pctCO2 and abrupt-4xCO2) simulations. Historical results show that the model can capture the basic wave climate features under climate change. These unique centuries of global wave data are from a fully coupled system and can provide the community with a vital long-term data source for scientific and engineering applications, such as wave climate research, wave-related process studies and parameterizations, as well as coastal and near-shore industry designs. Nature Publishing Group UK 2020-07-10 /pmc/articles/PMC7351744/ /pubmed/32651382 http://dx.doi.org/10.1038/s41597-020-0566-8 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 Song, Zhenya Bao, Ying Zhang, Danqi Shu, Qi Song, Yajuan Qiao, Fangli Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title | Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title_full | Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title_fullStr | Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title_full_unstemmed | Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title_short | Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
title_sort | centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351744/ https://www.ncbi.nlm.nih.gov/pubmed/32651382 http://dx.doi.org/10.1038/s41597-020-0566-8 |
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