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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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