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The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset
Amongst the variety of oceanic processes running the gamut of spatiotemporal scales, mesoscale eddies are the most common and often have region-specific characteristics. The large kinetic energy inherent to eddies themselves is a strong modulator of the global climate, ocean circulation, productivit...
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/PMC9307834/ https://www.ncbi.nlm.nih.gov/pubmed/35869097 http://dx.doi.org/10.1038/s41597-022-01550-9 |
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author | Dong, Changming Liu, Lingxiao Nencioli, Francesco Bethel, Brandon J. Liu, Yu Xu, Guangjun Ma, Jing Ji, Jinlin Sun, Wenjin Shan, Haixia Lin, Xiayan Zou, Bin |
author_facet | Dong, Changming Liu, Lingxiao Nencioli, Francesco Bethel, Brandon J. Liu, Yu Xu, Guangjun Ma, Jing Ji, Jinlin Sun, Wenjin Shan, Haixia Lin, Xiayan Zou, Bin |
author_sort | Dong, Changming |
collection | PubMed |
description | Amongst the variety of oceanic processes running the gamut of spatiotemporal scales, mesoscale eddies are the most common and often have region-specific characteristics. The large kinetic energy inherent to eddies themselves is a strong modulator of the global climate, ocean circulation, productivity, and freshwater transport. This study uses multi-source satellite remote sensing observation data to construct a multi-parameter eddy dataset for the 1993–2019 period, which differs significantly from a few of previous published eddy datasets that include only basic sea surface eddy physical features. Eddies within the dataset have life cycles of greater than four weeks, and their corresponding sea surface chlorophyll, sea surface temperature, and wind fields are provided. Atmospheric and oceanic variables are used to present a comprehensive picture of a given mesoscale eddy’s impact on the local physical, but also biological environment. The dataset would find immense value in research on mesoscale eddies, their impact on the atmosphere, and related biological processes. |
format | Online Article Text |
id | pubmed-9307834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93078342022-07-24 The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset Dong, Changming Liu, Lingxiao Nencioli, Francesco Bethel, Brandon J. Liu, Yu Xu, Guangjun Ma, Jing Ji, Jinlin Sun, Wenjin Shan, Haixia Lin, Xiayan Zou, Bin Sci Data Data Descriptor Amongst the variety of oceanic processes running the gamut of spatiotemporal scales, mesoscale eddies are the most common and often have region-specific characteristics. The large kinetic energy inherent to eddies themselves is a strong modulator of the global climate, ocean circulation, productivity, and freshwater transport. This study uses multi-source satellite remote sensing observation data to construct a multi-parameter eddy dataset for the 1993–2019 period, which differs significantly from a few of previous published eddy datasets that include only basic sea surface eddy physical features. Eddies within the dataset have life cycles of greater than four weeks, and their corresponding sea surface chlorophyll, sea surface temperature, and wind fields are provided. Atmospheric and oceanic variables are used to present a comprehensive picture of a given mesoscale eddy’s impact on the local physical, but also biological environment. The dataset would find immense value in research on mesoscale eddies, their impact on the atmosphere, and related biological processes. Nature Publishing Group UK 2022-07-22 /pmc/articles/PMC9307834/ /pubmed/35869097 http://dx.doi.org/10.1038/s41597-022-01550-9 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 Dong, Changming Liu, Lingxiao Nencioli, Francesco Bethel, Brandon J. Liu, Yu Xu, Guangjun Ma, Jing Ji, Jinlin Sun, Wenjin Shan, Haixia Lin, Xiayan Zou, Bin The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title | The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title_full | The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title_fullStr | The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title_full_unstemmed | The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title_short | The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
title_sort | near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307834/ https://www.ncbi.nlm.nih.gov/pubmed/35869097 http://dx.doi.org/10.1038/s41597-022-01550-9 |
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