Mesoscale structure of the central South China Sea detected by SCSMEX Buoy and Argo float

2010 ◽  
Vol 28 (5) ◽  
pp. 1102-1111 ◽  
Author(s):  
Lili Zeng ◽  
Dongxiao Wang ◽  
Yan Du ◽  
Ping Shi
Keyword(s):  
South China Sea ◽  
South China ◽  
Argo Float ◽  
China Sea ◽  
Mesoscale Structure ◽  
Central South

Responses of hyperiid (Amphipoda) communities to monsoon reversal in the central South China Sea

2020 ◽  
Vol 189 ◽  
pp. 102440
Author(s):  
Liang-gen Wang ◽  
Jia-jia Ning ◽  
Ya-fang Li ◽  
Fei-yan Du
Keyword(s):  
South China Sea ◽  
South China ◽  
China Sea ◽  
Central South

scholarly journals Structures within the oceanic crust of the central South China Sea basin and their implications for oceanic accretionary processes

2018 ◽  
Vol 488 ◽  
pp. 115-125 ◽  
Author(s):  
Weiwei Ding ◽  
Zhen Sun ◽  
Kelsie Dadd ◽  
Yinxia Fang ◽  
Jiabiao Li
Keyword(s):  
South China Sea ◽  
Oceanic Crust ◽  
South China ◽  
China Sea ◽  
Central South

Taxonomic notes on Anthomedusae (Cnidaria: Hydrozoa: Hydroidomedusa) from the south-central South China Sea, with a new genus and four new species

2018 ◽  
Vol 37 (10) ◽  
pp. 112-118 ◽  
Author(s):  
Feiyan Du ◽  
Lianggen Wang ◽  
Zhenzu Xu ◽  
Jiaqi Huang ◽  
Donghui Guo
Keyword(s):  
New Species ◽  
South China Sea ◽  
South China ◽  
New Genus ◽  
The South ◽  
China Sea ◽  
South Central ◽  
Central South

Vertical flux of particulate organic carbon in the central South China Sea estimated from 234Th-238U disequilibria

2008 ◽  
Vol 26 (4) ◽  
pp. 480-485 ◽  
Author(s):  
Hao Ma ◽  
Zhi Zeng ◽  
Jianhua He ◽  
Liqi Chen ◽  
Mingduan Yin ◽  
...  
Keyword(s):  
Organic Carbon ◽  
South China Sea ◽  
Particulate Organic Carbon ◽  
South China ◽  
Vertical Flux ◽  
China Sea ◽  
Central South

An eddy-borne Argo float measurement experiment in the South China Sea

2020 ◽  
Vol 70 (10) ◽  
pp. 1325-1338
Author(s):  
Chunyong Ma ◽  
Zhanwen Gao ◽  
Siqing Li ◽  
Shuo Li ◽  
Ge Chen
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Argo Float ◽  
China Sea ◽  
Measurement Experiment

Leaf Wax and Sr‐Nd Isotope Evidence for High‐Latitude Dust Input to the Central South China Sea and Its Implication for Fertilization

2021 ◽  
Vol 48 (11) ◽  
Author(s):  
Yi Yang ◽  
James A. Bendle ◽  
Richard D. Pancost ◽  
Yan Yan ◽  
Xiaoyan Ruan ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
High Latitude ◽  
Nd Isotope ◽  
China Sea ◽  
Leaf Wax ◽  
Isotope Evidence ◽  
Central South

A muddy megaturbidite in the deep central South China Sea deposited ~350yrsBP

2013 ◽  
Vol 346 ◽  
pp. 91-100 ◽  
Author(s):  
Andreas Wetzel ◽  
Daniel Unverricht
Keyword(s):  
South China Sea ◽  
South China ◽  
China Sea ◽  
Central South

scholarly journals Assimilation of Middepth Velocities from Argo Floats in the Western South China Sea

2020 ◽  
Vol 37 (1) ◽  
pp. 141-157
Author(s):  
Pinqiang Wang ◽  
Weimin Zhang ◽  
Huizan Wang ◽  
Haijin Dai ◽  
Xiaohui Wang
Keyword(s):  
Data Assimilation ◽  
South China Sea ◽  
South China ◽  
Ocean Model ◽  
Trajectory Data ◽  
Argo Float ◽  
Argo Floats ◽  
China Sea ◽  
Regional Ocean Model System ◽  
Regional Ocean Model

AbstractPrevious studies are mainly limited to temperature and salinity (T/S) profiling data assimilation, while data assimilation based on Argo float trajectory information has received less research focus. In this study, a new method was proposed to assimilate Argo trajectory data: the middepth (indicates the parking depth of Argo floats in this study, ~1200 m) velocities are estimated from Argo trajectories and subsequently assimilated into the Regional Ocean Model System (ROMS) using four-dimensional variational data assimilation (4DVAR) method. This method can avoid a complicated float trajectory model in direct position assimilation. The 2-month assimilation experiments in South China Sea (SCS) showed that this proposed method can effectively assimilate Argo trajectory information into the model and improve middepth velocity field by adjusting the unbalanced component in the velocity increments. The assimilation of the Argo trajectory-derived middepth velocity with other observations (satellite observations and T/S profiling data) together yielded the best performance, and the velocity fields at the float parking depth are more consistent with the Argo float trajectories. In addition, this method will not decrease the assimilation performance of other observations [i.e., sea level anomaly (SLA), sea surface temperature (SST), and T/S profiles], which is indicative of compatibility with other observations in the 4DVAR assimilation system.

Siliceous microplankton fluxes and seasonal variations in the central South China Sea during 1993–1995: monsoon climate and El Niño responses

2000 ◽  
Vol 45 (23) ◽  
pp. 2168-2172 ◽  
Author(s):  
Rujian Wang ◽  
Jun Lin ◽  
Lianfu Zheng ◽  
Ronghua Chen ◽  
Jianfang Chen
Keyword(s):  
South China Sea ◽  
South China ◽  
Seasonal Variations ◽  
El Niño ◽  
El Nino ◽  
Monsoon Climate ◽  
China Sea ◽  
Central South
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