Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction
Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction
About this item
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Author / Creator
Jing, Tian , Chen, Ru , Liu, Chuanyu , Qiu, Chunhua , Zhang, Cuicui and Hong, Mei
Publisher
Frontiers Media S.A
Journal title
Language
English
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Publisher
Frontiers Media S.A
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Scope and Contents
Contents
Mesoscale eddy mixing significantly influences ocean circulation and climate system. Coarse-resolution climate models are sensitive to the specification of eddy diffusivity tensor. Mixing ellipses, derived from eddy diffusivity tensor, illustrate mixing geometry, i.e., the magnitude, anisotropy, and dominant direction of eddy mixing. Using satellit...
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Full title
Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0d96723ceeb6495d9a007ae6bf2f1a61
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0d96723ceeb6495d9a007ae6bf2f1a61
Other Identifiers
ISSN
2296-7745
E-ISSN
2296-7745
DOI
10.3389/fmars.2024.1506419
