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The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset.


ABSTRACT: 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.

SUBMITTER: Dong C 

PROVIDER: S-EPMC9307834 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset.

Dong Changming C   Liu Lingxiao L   Nencioli Francesco F   Bethel Brandon J BJ   Liu Yu Y   Xu Guangjun G   Ma Jing J   Ji Jinlin J   Sun Wenjin W   Shan Haixia H   Lin Xiayan X   Zou Bin B  

Scientific data 20220722 1


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 fr  ...[more]

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