Abstract

Abstract. Spatial variation is important for studying the mesoscale eddies in the South China Sea (SCS). To investigate such spatial variations, this study made a clustering analysis on eddies' distribution using the K-means approach. Results showed that clustering tendency of anticyclonic eddies (AEs) and cyclonic eddies (CEs) were weak but not random, and the number of clusters were proved greater than four. Finer clustering results showed 10 regions where AEs densely populated and 6 regions for CEs in the SCS. Previous studies confirmed these partitions and possible generation mechanisms were related. Comparisons between AEs and CEs revealed that patterns of AE are relatively more aggregated than those of CE, and specific distinctions were summarized: (1) to the southwest of Luzon Island, AEs and CEs are generated spatially apart; AEs are likely located north of 14° N and closer to shore, while CEs are to the south and further offshore. (2) The central SCS and Nansha Trough are mostly dominated by AEs. (3) Along 112° E, clusters of AEs and CEs are located sequentially apart, and the pairs off Vietnam represent the dipole structures. (4) To the southwest of the Dongsha Islands, AEs are concentrated to the east of CEs. Overlaps of AEs and CEs in the northeastern and southern SCS were further examined considering seasonal variations. The northeastern overlap represented near-concentric distributions while the southern one was a mixed effect of seasonal variations, complex circulations and topography influences.

Highlights

  • The South China Sea (SCS) is the largest semi-enclosed marginal sea in northwest Pacific Ocean

  • The third part gives an intensive discussion about how anticyclonic eddies (AEs) and cyclonic eddies (CEs) are different in spatial variations

  • The H mean for AEs, CEs and all eddies at the largest sample amount are 0.563, 0.560 and 0.547, respectively

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Summary

Introduction

The South China Sea (SCS) is the largest semi-enclosed marginal sea in northwest Pacific Ocean. It has a large NE– SW oriented abyssal basin with greatest depth of 5567 m. While some researchers focus their studies on particular regions of SCS (Fang et al, 2002; Wu and Chiang, 2007; Yuan et al, 2007; Li et al, 2003; Yang et al, 2000; Yuan and Li, 2008), some others study the whole maritime area of SCS by geographical divisions (Li et al, 2011; Wang et al, 2003; Lin et al, 2007; Chen et al, 2011).

Eddy data
Clustering analysis
Results and discussion
Hopkins statistic
Correct number of clusters
Clustering results
Four-cluster result
Finer clustering results
Comparisons between AEs and CEs
Conclusions
Full Text
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