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  • 标题:The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset
  • 本地全文:下载
  • 作者:Changming Dong ; Lingxiao Liu ; Francesco Nencioli
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-13
  • DOI:10.1038/s41597-022-01550-9
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Amongst the variety of oceanic processes running the gamut of spatiotemporal scales, mesoscale eddies are the most common and often have region-specifc 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 difers signifcantly 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 felds 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 fnd immense value in research on mesoscale eddies, their impact on the atmosphere, and related biological processes .
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