Eddy‐Induced Transport of Saline Kuroshio Water Into the Northern South China Sea

Yang, Yikai; Wang, Dongxiao; Wang, Qiang; Xing, Tao; He, Yuehui; Shu, Yeqiang; Chen, Ju; Wang, Yinxia

doi:10.1029/2018jc014847

Cited by 34 publications

(40 citation statements)

References 52 publications

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“…The Kuroshio instability near the LS leads to frequent shedding of mesoscale eddies (Jia & Liu, 2004;Nan et al, 2011a;Yuan et al, 2007;Yuan & Wang, 2011;Zu et al, 2013). This results in mesoscale eddy activity Xiu et al, 2010;Sun et al, 2018Sun et al, , 2019Qiu et al, 2019;Su et al, 2020) and the intraseasonal variability of water properties (Yang et al, 2019;Zhang et al, 2017) in the northern SCS. The largescale Kuroshio intrusion, which carries saline and warm water into the SCS, induces a high-pressure belt along the northern SCS slope and material exchange between the continental shelf and open sea .…”

Section: Introductionmentioning

confidence: 99%

The Linkage of Kuroshio Intrusion and Mesoscale Eddy Variability in the Northern South China Sea: Subsurface Speed Maximum

Wang

Zeng

Chen

et al. 2020

Geophysical Research Letters

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In situ data suggest that there is a subsurface speed maximum between 70 and 120 m in the Kuroshio, which is first revealed by the directly velocity observation. The subsurface speed maximum can also be advected into the largest marginal sea in the tropics, that is, the South China Sea (SCS). As it enters the SCS, its depth shoals to between 40 and 70 m and then finally disappears in the western northern SCS. Strong subsurface speed maximum intrusion results in strong baroclinic instability, which triggers vigorous baroclinic conversion, consequently the active mesoscale eddy variability in the northern SCS, and vice versa. Our study highlights this intuitive bridge connecting the Kuroshio intrusion and the mesoscale eddy activities in the northern SCS.

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Section: Introductionmentioning

confidence: 99%

The Linkage of Kuroshio Intrusion and Mesoscale Eddy Variability in the Northern South China Sea: Subsurface Speed Maximum

Wang

Zeng

Chen

et al. 2020

Geophysical Research Letters

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“…Green, purple and yellow circles show the eddy cases of Y. Yang et al (2019), X. Wang et al (2012) and Zhang et al (2017), with values of 0.0567 m 2 •s −2 , 0.0671 m 2 •s −2 and 0.1250 m 2 •s −2 , respectively, shown in (b) with the corresponding columns.…”

Section: Datamentioning

confidence: 96%

“…Shedding eddies form inside or at the edge of the Kuroshio intrusion (Wang et al, 2017), with trapping effect playing a dominant transport mechanism. According to Yang et al (2019), eddies generated locally in the northern SCS also have transport capability by advective effect within a proper distance from the Kuroshio intrusion. Here, a newborn eddy directly contacting the Kuroshio area will be defined as a shedding eddy;…”

Section: Eddy Identification and Classificationmentioning

confidence: 99%

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How Much Heat and Salt Are Transported Into the South China Sea by Mesoscale Eddies?

2021

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Eddy-induced transport through the Luzon Strait critically affects the physical and biological properties of the South China Sea (SCS). The eddy-induced volume, heat and salt transport are comprehensively evaluated based on the South China Sea Physical Oceanic Dataset (SCSPOD) observations. To avoid the bias involved in extreme eddy events, 76 shedding anticyclonic eddies, 46 shedding cyclonic eddies, 29 locally formed anticyclonic eddies and 40 locally formed cyclonic eddies from 1993 to 2018 are taken into account and merged into composites. The total annual intrusions of volume, heat and salt contributed by all four types of eddies are 0.77 Sv, 8.78×10 -4 PW and 7.88×10 4 kg•s -1 , respectively. The statistical analysis shows that annual eddy-induced intrusion accounts for 11.3%~38.9% of the upper-layer Luzon Strait transport, which highlights the non-negligible role of eddies in water exchange through the Luzon Strait.

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“…Many studies have been conducted to explore the static and dynamic characteristics of the mesoscale ocean eddies in the SCS using different datasets and methods [24,[26][27][28]. On the one hand, some studies focus on the formation mechanism, spatial distribution, seawater interaction, and physical properties of a single eddy or a specific type of eddy in the SCS [13,29,30]. On the other hand, some studies perform spatiotemporal statistical and clustering analysis on all eddies [26,28,31].…”

Section: Introductionmentioning

confidence: 99%

Clustering Complex Trajectories Based on Topologic Similarity and Spatial Proximity: A Case Study of the Mesoscale Ocean Eddies in the South China Sea

Wang

Sun

et al. 2019

IJGI

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Many real-world dynamic features such as ocean eddies, rain clouds, and air masses may split or merge while they are migrating within a space. Topologically, the migration trajectories of such features are structurally more complex as they may have multiple branches due to the splitting and merging processes. Identifying the spatial aggregation patterns of the trajectories could help us better understand how such features evolve. We propose a method, a Global Similarity Measuring Algorithm for the Complex Trajectories (GSMCT), to examine the spatial proximity and topologic similarity among complex trajectories. The method first transforms the complex trajectories into graph structures with nodes and edges. The global similarity between two graph structures (i.e., two complex trajectories) is calculated by averaging their topologic similarity and the spatial proximity, which are calculated using the Comprehensive Structure Matching (CSM) and the Hausdorff distance (HD) methods, respectively. We applied the GSMCT, the HD, and the Dynamic Time Warping (DTW) methods to examine the complex trajectories of the 1993-2016 mesoscale eddies in the South China Sea (SCS). Based on the similarity evaluation results, we categorized the complex trajectories across the SCS into four groups, which are similar to the zoning results reported in previous studies, though difference exists. Moreover, the yearly numbers of complex trajectories in the clusters in the northernmost (Cluster 1) and the southernmost SCS (Cluster 4) are almost the same. However, their seasonal variation and migration characteristics are totally opposite. Such new knowledge is very useful for oceanographers of interest to study and numerically simulate the mesoscale ocean eddies in the SCS. a cluster, while maximizing the difference between clusters [6-9]. Trajectory clustering has been used to explore population migration patterns [6][7][8], human activities and behavior abnormalities, urban vehicle movement characteristics, cell development processes, and atmospheric evolution processes [5][6][7][8][9][10][11]. There is a need for a feasible definition of trajectory similarity measure for successful trajectory clustering, trajectory classification, pattern analysis, and movement anomaly detection [3,8,9].Migration of real-world entities has been widely traced and a huge amount of trajectory data have been produced [12]. A trajectory could be either simple or complex, depending upon whether it has branches or not [5,11]. The branches are produced when the entities split and/or merge. A simple trajectory (Figure 1a) is usually generated by an object that moves as a whole, such as a person, a vehicle, or an animal. A simple trajectory thus has a linear structure without any branches [3,6,7,9,10]. By contrast, a complex trajectory (Figure 1b) is structurally different from a simple trajectory in that it has nonlinear structure with at least one branch. A complex trajectory is usually generated by the phenomena that could split or merge, such as large-scale ocea...

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Eddy‐Induced Transport of Saline Kuroshio Water Into the Northern South China Sea

Cited by 34 publications

References 52 publications

The Linkage of Kuroshio Intrusion and Mesoscale Eddy Variability in the Northern South China Sea: Subsurface Speed Maximum

The Linkage of Kuroshio Intrusion and Mesoscale Eddy Variability in the Northern South China Sea: Subsurface Speed Maximum

How Much Heat and Salt Are Transported Into the South China Sea by Mesoscale Eddies?

Clustering Complex Trajectories Based on Topologic Similarity and Spatial Proximity: A Case Study of the Mesoscale Ocean Eddies in the South China Sea

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