scholarly journals The Climatic Characteristics of Surface Salinity in the South China Sea and the Adjacent Northwest Pacific Ocean

2018 ◽  
Vol 171 ◽  
pp. 012028
Author(s):  
Mingxing Niu ◽  
Jiancheng Kang ◽  
Zhiwei Chen
Keyword(s):  
Pacific Ocean ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Northwest Pacific ◽  
The South ◽  
Surface Salinity ◽  
Northwest Pacific Ocean ◽  
China Sea ◽  
Climatic Characteristics

scholarly journals Draft Genome Sequences of Two Bacterial Strains, Muricauda sp. 72 and NH166, Isolated from the South China Sea and West Pacific Ocean

2019 ◽  
Vol 8 (44) ◽  
Author(s):  
Ying Zheng ◽  
Cong Sun
Keyword(s):  
Pacific Ocean ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Bacterial Strains ◽  
The South ◽  
Genome Sequences ◽  
West Pacific ◽  
China Sea ◽  
West Pacific Ocean

Here, we report the whole-genome sequences of two bacterial strains, Muricauda sp. 72 and NH166, isolated from the South China Sea and West Pacific Ocean, respectively. These two strains may represent a novel species of the genus Muricauda, and the features of their genome sequences will enrich our understandings of strains in the genus Muricauda.

scholarly journals Assimilation of SMOS Sea Surface Salinity in the Regional Ocean Model for South China Sea

2019 ◽  
Vol 11 (8) ◽  
pp. 919 ◽  
Author(s):  
Ziyao Mu ◽  
Weimin Zhang ◽  
Pinqiang Wang ◽  
Huizan Wang ◽  
Xiaofeng Yang
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Observation Data ◽  
The South ◽  
Surface Salinity ◽  
China Sea ◽  
Ocean Salinity

Ocean salinity has an important impact on marine environment simulations. The Soil Moisture and Ocean Salinity (SMOS) mission is the first satellite in the world to provide large-scale global salinity observations of the oceans. Salinity remote sensing observations in the open ocean have been successfully applied in data assimilations, while SMOS salinity observations contain large errors in the coastal ocean (including the South China Sea (SCS)) and high latitudes and cannot be effectively applied in ocean data assimilations. In this paper, the SMOS salinity observation data are corrected with the Generalized Regression Neural Network (GRNN) in data assimilation preprocessing, which shows that after correction, the bias and root mean square error (RMSE) of the SMOS sea surface salinity (SSS) compared with the Argo observations can be reduced from 0.155 PSU and 0.415 PSU to −0.003 PSU and 0.112 PSU, respectively, in the South China Sea. The effect is equally significant in the northwestern Pacific region. The preprocessed salinity data were applied to an assimilation in a coastal region for the first time. The six groups of assimilation experiments set in the South China Sea showed that the assimilation of corrected SMOS SSS can effectively improve the upper ocean salinity simulation.

scholarly journals Multidecadal Changes of Upper-Ocean Thermal Conditions in the Tropical Northwest Pacific Ocean versus South China Sea during 1960–2015

2018 ◽  
Vol 31 (10) ◽  
pp. 3999-4016 ◽  
Author(s):  
Tzu-Ling Chiang ◽  
Yi-Chia Hsin ◽  
Chau-Ron Wu
Keyword(s):  
Pacific Ocean ◽  
South China Sea ◽  
South China ◽  
Thermal Conditions ◽  
North Equatorial Current ◽  
Upper Ocean ◽  
Northwest Pacific ◽  
Northwest Pacific Ocean ◽  
China Sea ◽  
Basin Scale

Abstract By analyzing the upper-ocean properties of observation-based hydrographic data and validated oceanic reanalysis products, this study presents multidecadal changes of oceanic surface and subsurface thermal conditions in the tropical northwest Pacific Ocean (TNWP) and South China Sea (SCS) during 1960–2015. The analysis reveals that a transition of a 30-yr trend took place in 1980s during the analyzed period for both the surface and subsurface environment. Generally, the warming trend of sea surface temperature (SST) in the TNWP has a similar multidecadal change to that in the SCS. However, a huge accumulating rate of upper-ocean heat content above the 26°C isotherm (UOHC26) showed up in the TNWP (about 3 times compared to that in the SCS) in the last 30 years. In the TNWP, the southward shift of the North Equatorial Current on the multidecadal time scale induces the vertical displacement of isotherms, leading to a strong subsurface warming around the top of the thermocline. Secondarily, the Pacific decadal oscillation (PDO)-related SST regulates the thermal structure in the mixed layer. The multidecadal UOHC26 in the SCS is mainly attributed to the PDO-related SST and further modulated by the isothermal variability caused by the change of basin-scale SCS circulation.

scholarly journals Tropical Cyclone–Induced Ocean Response: A Comparative Study of the South China Sea and Tropical Northwest Pacific*,+

2015 ◽  
Vol 28 (15) ◽  
pp. 5952-5968 ◽  
Author(s):  
Wei Mei ◽  
Chun-Chi Lien ◽  
I.-I. Lin ◽  
Shang-Ping Xie
Keyword(s):  
South China Sea ◽  
Mixed Layer ◽  
South China ◽  
Regional Difference ◽  
Chlorophyll Concentration ◽  
The South China Sea ◽  
Northwest Pacific ◽  
The South ◽  
China Sea ◽  
Sst Cooling

Abstract The thermocline shoals in the South China Sea (SCS) relative to the tropical northwest Pacific Ocean (NWP), as required by geostrophic balance with the Kuroshio. The present study examines the effect of this difference in ocean state on the response of sea surface temperature (SST) and chlorophyll concentration to tropical cyclones (TCs), using both satellite-derived measurements and three-dimensional numerical simulations. In both regions, TC-produced SST cooling strongly depends on TC characteristics (including intensity as measured by the maximum surface wind speed, translation speed, and size). When subject to identical TC forcing, the SST cooling in the SCS is more than 1.5 times that in the NWP, which may partially explain weaker TC intensity on average observed in the SCS. Both a shallower mixed layer and stronger subsurface thermal stratification in the SCS contribute to this regional difference in SST cooling. The mixed layer effect dominates when TCs are weak, fast-moving, and/or small; and for strong and slow-moving TCs or strong and large TCs, both factors are equally important. In both regions, TCs tend to elevate surface chlorophyll concentration. For identical TC forcing, the surface chlorophyll increase in the SCS is around 10 times that in the NWP, a difference much stronger than that in SST cooling. This large regional difference in the surface chlorophyll response is at least partially due to a shallower nutricline and stronger vertical nutrient gradient in the SCS. The effect of regional difference in upper-ocean density stratification on the surface nutrient response is negligible. The total annual primary production increase associated with the TC passage estimated using the vertically generalized production model in the SCS is nearly 3 times that in the NWP (i.e., 6.4 ± 0.4 × 1012 versus 2.2 ± 0.2 × 1012 g C), despite the weaker TC activity in the SCS.

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