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Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings
This dataset presents historical ocean wave climate during 1960–2020, simulated using the numerical model WAVEWATCH III (WW3) forced by Coupled Model Intercomparison Project phase 6 (CMIP6) simulations corresponding to natural-only (NAT), greenhouse gas-only (GHG), aerosol-only (AER) forcings, combi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220036/ https://www.ncbi.nlm.nih.gov/pubmed/37236925 http://dx.doi.org/10.1038/s41597-023-02228-6 |
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author | Patra, Anindita Dodet, Guillaume Accensi, Mickaël |
author_facet | Patra, Anindita Dodet, Guillaume Accensi, Mickaël |
author_sort | Patra, Anindita |
collection | PubMed |
description | This dataset presents historical ocean wave climate during 1960–2020, simulated using the numerical model WAVEWATCH III (WW3) forced by Coupled Model Intercomparison Project phase 6 (CMIP6) simulations corresponding to natural-only (NAT), greenhouse gas-only (GHG), aerosol-only (AER) forcings, combined forcing (natural and anthropogenic; ALL), and pre-industrial control conditions. Surface wind at 3-hourly temporal resolution, and sea-ice area fraction at monthly frequency, from a CMIP6 model - MRI-ESM2.0 are used to force WW3 over the global ocean. Model calibration and validation of the significant wave height are carried out using inter-calibrated multi-mission altimeter data produced by the European Space Agency Climate Change Initiative, with additional corroboration using ERA-5 reanalysis. The simulated dataset is assessed for its skill to represent mean state, extremes, trends, seasonal cycle, time consistency, and spatial distribution over time. Numerically simulated wave parameters for different individual external forcing scenario is not available yet. This study produces a novel database particularly useful for detection and attribution analysis to quantify the relative contributions of natural and anthropogenic forcings to historical changes. |
format | Online Article Text |
id | pubmed-10220036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102200362023-05-28 Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings Patra, Anindita Dodet, Guillaume Accensi, Mickaël Sci Data Data Descriptor This dataset presents historical ocean wave climate during 1960–2020, simulated using the numerical model WAVEWATCH III (WW3) forced by Coupled Model Intercomparison Project phase 6 (CMIP6) simulations corresponding to natural-only (NAT), greenhouse gas-only (GHG), aerosol-only (AER) forcings, combined forcing (natural and anthropogenic; ALL), and pre-industrial control conditions. Surface wind at 3-hourly temporal resolution, and sea-ice area fraction at monthly frequency, from a CMIP6 model - MRI-ESM2.0 are used to force WW3 over the global ocean. Model calibration and validation of the significant wave height are carried out using inter-calibrated multi-mission altimeter data produced by the European Space Agency Climate Change Initiative, with additional corroboration using ERA-5 reanalysis. The simulated dataset is assessed for its skill to represent mean state, extremes, trends, seasonal cycle, time consistency, and spatial distribution over time. Numerically simulated wave parameters for different individual external forcing scenario is not available yet. This study produces a novel database particularly useful for detection and attribution analysis to quantify the relative contributions of natural and anthropogenic forcings to historical changes. Nature Publishing Group UK 2023-05-26 /pmc/articles/PMC10220036/ /pubmed/37236925 http://dx.doi.org/10.1038/s41597-023-02228-6 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 Patra, Anindita Dodet, Guillaume Accensi, Mickaël Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title | Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title_full | Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title_fullStr | Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title_full_unstemmed | Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title_short | Historical global ocean wave data simulated with CMIP6 anthropogenic and natural forcings |
title_sort | historical global ocean wave data simulated with cmip6 anthropogenic and natural forcings |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220036/ https://www.ncbi.nlm.nih.gov/pubmed/37236925 http://dx.doi.org/10.1038/s41597-023-02228-6 |
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