scholarly journals Application of Three-Dimensional Interpolation in Estimating Diapycnal Diffusivity in the South China Sea

2020 ◽  
Vol 8 (11) ◽  
pp. 832
Author(s):  
Junting Guo ◽  
Yafei Nie ◽  
Shuang Li ◽  
Xianqing Lv
Keyword(s):  
South China Sea ◽  
South China ◽  
Spline Interpolation ◽  
Three Dimensional ◽  
The South China Sea ◽  
Field Observations ◽  
The South ◽  
China Sea ◽  
Study Results ◽  
Diapycnal Diffusivity

Diapycnal diffusivity is an important parameter to characterize oceanic turbulent mixing and vertical transport. However, due to the challenging accessibility of field observations, the observation of diapycnal diffusivity in the South China Sea (SCS) is rare. In this study, a three-dimensional field of diapycnal diffusivity in the SCS with high spatial resolution is performed by interpolating the rare field observations, which aims to provide a reference for the value of diapycnal diffusivity in ocean models. Given the anisotropy of diapycnal diffusivity and its rapid change in the magnitude in the vertical direction, several typical interpolation methods are compared in this study. Results of two cross-validation methods demonstrate that the three-dimensional (3D) thin-plate spline interpolation method yields the most reasonable and accurate results among a total of five typical methods used in this study.

The Generation of Nonlinear Internal Waves in the South China Sea: A Three‐Dimensional, Nonhydrostatic Numerical Study

2019 ◽  
Vol 124 (12) ◽  
pp. 8949-8968 ◽  
Author(s):  
Zhigang Lai ◽  
Guangzhen Jin ◽  
Yongmao Huang ◽  
Haiyun Chen ◽  
Xiaodong Shang ◽  
...  
Keyword(s):  
South China Sea ◽  
Internal Waves ◽  
South China ◽  
Numerical Study ◽  
Three Dimensional ◽  
The South China Sea ◽  
The South ◽  
Nonlinear Internal Waves ◽  
China Sea

scholarly journals Seismic Expression of Polygonal Faults and Its Impact on Fluid Flow Migration for Gas Hydrates Formation in Deep Water of the South China Sea

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
Duanxin Chen ◽  
Shiguo Wu ◽  
Xiujuan Wang ◽  
Fuliang Lv
Keyword(s):  
Fluid Flow ◽  
South China Sea ◽  
South China ◽  
Gas Hydrates ◽  
Three Dimensional ◽  
The South China Sea ◽  
Normal Faults ◽  
The South ◽  
China Sea ◽  
3D Seismic Data

Polygonal faults were identified from three-dimensional (3D) seismic data in the middle-late Miocene marine sequences of the South China Sea. Polygonal faults in the study area are normal faults with fault lengths ranging from 100 to 1500 m, fault spaces ranging from 40 to 800 m, and throws ranging from 10 to 40 m. Gas hydrate was inferred from the seismic polarity, the reflection strength, and the temperature-pressure equilibrium computation results. Gas hydrates located in the sediments above the polygonal faults layer. Polygonal faults can act as pathways for the migration of fluid flow, which can supply hydrocarbons for the formation of gas hydrates.

scholarly journals Determination of Harmonic Parameters with Temporal Variations: An Enhanced Harmonic Analysis Algorithm and Application to Internal Tidal Currents in the South China Sea

2018 ◽  
Vol 35 (7) ◽  
pp. 1375-1398 ◽  
Author(s):  
Guangzhen Jin ◽  
Haidong Pan ◽  
Qilin Zhang ◽  
Xianqing Lv ◽  
Wei Zhao ◽  
...  
Keyword(s):  
South China Sea ◽  
Harmonic Analysis ◽  
South China ◽  
Spline Interpolation ◽  
Temporal Variations ◽  
Tidal Currents ◽  
The South China Sea ◽  
Internal Tides ◽  
The South ◽  
China Sea

AbstractAs an effective tool to distinguish different tidal components, classical tidal current harmonic analysis has been widely used to obtain harmonic parameters of internal tidal currents. However, harmonic parameters cannot exactly reveal the motion of internal tides, as the irregular temporal variations for internal tides are significant in many regions of the world’s oceans. An enhanced harmonic analysis (EHA) algorithm based on the independent point scheme and cubic spline interpolation is presented in this paper to obtain harmonic parameters with temporal variations for different tidal constituents of internal tides. Moreover, this algorithm is applied to analyze 14 months of current data obtained from a mooring located on the continental shelf in the northeastern region of the South China Sea. The obvious irregular temporal variations for the four principal constituents—M2, K1, S2, and O1—of internal tides in this region are indicated. It is hoped that this algorithm might present a brand-new view for researchers to investigate the irregular temporal motions of internal tides.

scholarly journals Seasonal and interannual variability of primary and export production in the South China Sea: a three-dimensional physical–biogeochemical model study

2009 ◽  
Vol 66 (2) ◽  
pp. 420-431 ◽  
Author(s):  
Guimei Liu ◽  
Fei Chai
Keyword(s):  
South China Sea ◽  
Interannual Variability ◽  
South China ◽  
Three Dimensional ◽  
The South China Sea ◽  
Biogeochemical Model ◽  
Biological Productivity ◽  
The South ◽  
New Production ◽  
China Sea

Abstract Liu, G., and Chai, F. 2009. Seasonal and interannual variability of primary and export production in the South China Sea: a three-dimensional physical–biogeochemical model study. – ICES Journal of Marine Science, 66: 420–431. To investigate the seasonal and interannual variations in biological productivity in the South China Sea (SCS), a Pacific basin-wide physical–biogeochemical model has been developed and used to estimate the biological productivity and export flux in the SCS. The Pacific circulation model, based on the Regional Ocean Model Systems (ROMS), is forced with daily air–sea fluxes derived from the NCEP (National Centers for Environmental Prediction) reanalysis between 1990 and 2004. The biogeochemical processes are simulated with a carbon, Si(OH)4, and nitrogen ecosystem (CoSiNE) model consisting of silicate, nitrate, ammonium, two phytoplankton groups (small phytoplankton and large phytoplankton), two zooplankton grazers (small micrograzers and large mesozooplankton), and two detritus pools. The ROMS–CoSiNE model favourably reproduces many of the observed features, such as Chl a, nutrients, and primary production (PP) in the SCS. The modelled depth-integrated PP over the euphotic zone (0–125 m) varies seasonally, with the highest value of 386 mg C m−2 d−1 during winter and the lowest value of 156 mg C m−2 d−1 during early summer. The annual mean value is 196 mg C m−2 d−1. The model-integrated annual mean new production (uptake of nitrate), in carbon units, is 64.4 mg C m−2 d−1, which yields an f-ratio of 0.33 for the entire SCS. The modelled export ratio (e-ratio: the ratio of export to PP) is 0.24 for the basin-wide SCS. The year-to-year variation of biological productivity in the SCS is weaker than the seasonal variation. The large phytoplankton group tends to dominate over the smaller phytoplankton group, and likely plays an important role in determining the interannual variability of primary and new production.

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