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Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
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Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
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Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea

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Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea
Journal Article

Variations of mesoscale eddy SST fronts based on an automatic detection method in the northern South China Sea

2020
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Overview
SST fronts at the mesoscale eddy edge (ME fronts) were investigated from 2007–2017 in the northern South China Sea (NSCS) based on an automatic method using satellite sea level anomaly (SLA) and SST data. The relative probabilities between the number of anticyclonic/cyclonic ME fronts (AEF/CEF) and the number of anticyclones/cyclones reached 20%. The northeastern and southwestern parts of these anticyclones had more fronts than the northwestern and southeastern parts, although CEFs were nearly equally distributed in all directions. The number of ME fronts had remarkable seasonal variations, while the eddy kinetic energy (EKE) showed no seasonal variations. The total EKE at the ME fronts was three times of that within the MEs, and it was much stronger in AEFs than in CEFs. The interannual variability in the number of ME fronts and EKE had no significant correlation with the El Niño-Southern Oscillation (ENSO) index. Possible mechanisms of ME fronts were discussed, but the contributions of mesoscale eddies to SST fronts need to be quantified in future studies.
Publisher
The Chinese Society of Oceanography,Springer Nature B.V,School of Marine Sciences, Sun Yat-sen University, Guangzhou 510275, China,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519020, China%School of Marine Sciences, Sun Yat-sen University, Guangzhou 510275, China%State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China%State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China