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A century-long eddy-resolving simulation of global oceanic large- and mesoscale state
Investigating oceanic variations at multiple spatial and temporal scales is vital for an in-depth understanding of the ocean response to global climate change. However, the available observational datasets contain uncertainties and deficiencies that leave them insufficient for investigating global o...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652250/ https://www.ncbi.nlm.nih.gov/pubmed/36369203 http://dx.doi.org/10.1038/s41597-022-01766-9 |
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author | Ding, Mengrong Liu, Hailong Lin, Pengfei Meng, Yao Zheng, Weipeng An, Bo Luan, Yihua Yu, Yongqiang Yu, Zipeng Li, Yiwen Ma, Jinfeng Chen, Jian Chen, Kangjun |
author_facet | Ding, Mengrong Liu, Hailong Lin, Pengfei Meng, Yao Zheng, Weipeng An, Bo Luan, Yihua Yu, Yongqiang Yu, Zipeng Li, Yiwen Ma, Jinfeng Chen, Jian Chen, Kangjun |
author_sort | Ding, Mengrong |
collection | PubMed |
description | Investigating oceanic variations at multiple spatial and temporal scales is vital for an in-depth understanding of the ocean response to global climate change. However, the available observational datasets contain uncertainties and deficiencies that leave them insufficient for investigating global ocean variability with long temporal scales and/or meso spatial scales. Here, we present a daily and century-long (1901–2010) global oceanic simulation dataset with high resolution (1/10° horizontal resolution and 55 vertical layers) forced by 6-hour atmospheric data from ERA-20C. Preliminary evaluations demonstrate that this simulation can realistically reproduce the large-scale global ocean circulation and capture the essential features of global surface mesoscale eddies. This long-running high-resolution simulation dataset provides temporally highly resolved oceanic and flux variables. Together with its good performance in simulating the global oceanic state, this eddy-resolving simulation has the potential to help toward a better understanding of ocean variability at multiple spatial and temporal scales. |
format | Online Article Text |
id | pubmed-9652250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96522502022-11-15 A century-long eddy-resolving simulation of global oceanic large- and mesoscale state Ding, Mengrong Liu, Hailong Lin, Pengfei Meng, Yao Zheng, Weipeng An, Bo Luan, Yihua Yu, Yongqiang Yu, Zipeng Li, Yiwen Ma, Jinfeng Chen, Jian Chen, Kangjun Sci Data Data Descriptor Investigating oceanic variations at multiple spatial and temporal scales is vital for an in-depth understanding of the ocean response to global climate change. However, the available observational datasets contain uncertainties and deficiencies that leave them insufficient for investigating global ocean variability with long temporal scales and/or meso spatial scales. Here, we present a daily and century-long (1901–2010) global oceanic simulation dataset with high resolution (1/10° horizontal resolution and 55 vertical layers) forced by 6-hour atmospheric data from ERA-20C. Preliminary evaluations demonstrate that this simulation can realistically reproduce the large-scale global ocean circulation and capture the essential features of global surface mesoscale eddies. This long-running high-resolution simulation dataset provides temporally highly resolved oceanic and flux variables. Together with its good performance in simulating the global oceanic state, this eddy-resolving simulation has the potential to help toward a better understanding of ocean variability at multiple spatial and temporal scales. Nature Publishing Group UK 2022-11-11 /pmc/articles/PMC9652250/ /pubmed/36369203 http://dx.doi.org/10.1038/s41597-022-01766-9 Text en © The Author(s) 2022 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 Ding, Mengrong Liu, Hailong Lin, Pengfei Meng, Yao Zheng, Weipeng An, Bo Luan, Yihua Yu, Yongqiang Yu, Zipeng Li, Yiwen Ma, Jinfeng Chen, Jian Chen, Kangjun A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title | A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title_full | A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title_fullStr | A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title_full_unstemmed | A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title_short | A century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
title_sort | century-long eddy-resolving simulation of global oceanic large- and mesoscale state |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652250/ https://www.ncbi.nlm.nih.gov/pubmed/36369203 http://dx.doi.org/10.1038/s41597-022-01766-9 |
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