scholarly journals Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 127 ◽  
Author(s):  
Yichao Liu ◽  
Sunwei Li ◽  
Qian Yi ◽  
Daoyi Chen
Keyword(s):  
South China Sea ◽  
South China ◽  
Wave Spectrum ◽  
Wind Farms ◽  
Wave Spectra ◽  
China Sea ◽  
Wind Profiles ◽  
Spectrum Model

The research on typhoon wave spectrum in northwestern South China Sea

2017 ◽  
Vol 16 (1) ◽  
pp. 8-14 ◽  
Author(s):  
Hongyuan Shi ◽  
Xuefeng Cao ◽  
Xianhua Wen ◽  
Maochong Shi ◽  
Dongliang Zhao ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Wave Spectrum ◽  
China Sea ◽  
Typhoon Wave

Observed typhoon wave spectrum in northern South China Sea

2015 ◽  
Vol 33 (5) ◽  
pp. 1286-1294 ◽  
Author(s):  
Shengqiang Yang ◽  
Yijun Hou ◽  
Yahao Liu
Keyword(s):  
South China Sea ◽  
South China ◽  
Northern South China Sea ◽  
Wave Spectrum ◽  
China Sea ◽  
Typhoon Wave

scholarly journals Estimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea

2019 ◽  
Vol 36 (7) ◽  
pp. 1199-1216
Author(s):  
Hui Sun ◽  
Wei Zhao ◽  
Qingxuan Yang ◽  
Shuqun Cai ◽  
Xinfeng Liang ◽  
...  
Keyword(s):  
South China Sea ◽  
Internal Wave ◽  
Internal Waves ◽  
South China ◽  
Large Scale ◽  
Northern South China Sea ◽  
Wave Spectrum ◽  
Phase Speed ◽  
Likelihood Method ◽  
China Sea

AbstractInternal waves can transfer energy from large-scale to microscale processes; however, the spectra of these waves remain poorly known. A method that combines modal harmonic decomposition and maximum-likelihood method is proposed in this study to estimate four-dimensional internal wave spectrum using limited mooring observations. Using this method, a four-dimensional internal wave spectrum was obtained for the first time based on the mooring measurements collected during the South China Sea (SCS) Internal Wave Experiment in July 2014. The spectrum was then validated by comparing with the spectrum based on Fourier analysis and with the modified Garrett–Munk internal wave spectrum, respectively. The power of the internal wave spectrum decreased obviously with increasing frequency and wavenumber, with a falloff rate of ω−2 beyond tidal frequencies, and with falloff rates of and for horizontal and vertical wavenumbers, respectively. In addition, at a fixed frequency and vertical wavenumber, the propagation direction and phase speed of internal waves can be obtained through the four-dimensional spectrum. In summary, we verified the feasibility of estimating four-dimensional internal wave spectrum using limited mooring observations in this study, and the method we proposed should be applicable to other regions where such mooring observations are available.

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