Wind-wave simulation in South China Sea: Preliminary results of model evaluation using different wind forcing

2013 ◽  
Author(s):  
Nurul A. idah Abd Rahim ◽  
Liew Juneng ◽  
Fredolin T. Tangang
Keyword(s):  
South China Sea ◽  
South China ◽  
Model Evaluation ◽  
Wind Wave ◽  
Wind Forcing ◽  
Preliminary Results ◽  
China Sea ◽  
Wave Simulation

scholarly journals Winter Eddy Genesis in the Eastern South China Sea due to Orographic Wind Jets

2008 ◽  
Vol 38 (3) ◽  
pp. 726-732 ◽  
Author(s):  
Guihua Wang ◽  
Dake Chen ◽  
Jilan Su
Keyword(s):  
South China Sea ◽  
South China ◽  
Mesoscale Eddies ◽  
Winter Monsoon ◽  
Wind Forcing ◽  
Local Wind ◽  
Orographic Effects ◽  
China Sea ◽  
The Rich ◽  
Anticyclonic Eddies

Abstract Generation of mesoscale eddies in the eastern South China Sea (SCS) in winters during August 1999 to July 2002 is studied with a reduced-gravity model. It is found that the orographic wind jets associated with the northeast winter monsoon and the gaps in the mountainous island chain along the eastern boundary of the SCS can spin up cyclonic and anticyclonic eddies over the SCS. Results suggest that direct wind forcing could be an important generation mechanism for the rich eddy activity in the SCS, and that to simulate this mechanism the resolution of the wind forcing has to be high enough to resolve the local wind jets induced by orographic effects.

scholarly journals Seasonal Variability of Waves Within the Indonesian Seas and Its Relation With the Monsoon Wind

2021 ◽  
Vol 26 (3) ◽  
pp. 189-196
Author(s):  
Purwanto Purwanto ◽  
Denny Nugroho Sugianto ◽  
Muhammad Zainuri ◽  
Galuh Permatasari ◽  
Warsito Atmodjo ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Wind Wave ◽  
Surface Wind ◽  
The South China Sea ◽  
The South ◽  
Indonesian Seas ◽  
China Sea ◽  
Arafura Sea ◽  
Monsoon Wind

The previous studies have simulated the variability of the wave within the Indonesian seas which showed that the variability of wave follows the seasonal pattern. However, their analysis only consider the influence of local wind forcings. The bias and error of their simulated wave were also unclear. In the present study, we investigate the variability of wave within the Indonesian seas and its relation with the surface wind speed using the combination of reanalysis and remote sensing data with high accuracies. We split the analysis into swell and wind wave to obtain the influence of local and remote wind forcings. We show that at the inner seas (i.e., the South China Sea, Java Sea, Flores Sea, Banda Sea and Arafura Sea), the variability of significant wave height (SWH) is majorly influenced by the variability of the speed of monsoon wind. The maximum SWH during Northwest monsoon (NWM) season is located at the South China Sea while during Southeast monsoon (SEM) season is at Arafura Sea. This indicates that the wind wave (sea) is dominant at the inner seas. At the open seas (i.e., Pacific Ocean and Indian Ocean) the variability of SWH less corresponds to the the speed of monsoon wind. The remote wind forcings control the wave variability in the open ocean area. This indicates that swell is dominant at the open seas. In general, the magnitude of SWHswell is also more than SWHsea within the Indonesian seas.

Wind wave characteristics and engineering environment of the South China Sea

2014 ◽  
Vol 13 (6) ◽  
pp. 893-900 ◽  
Author(s):  
Zhifeng Wang ◽  
Liangming Zhou ◽  
Sheng Dong ◽  
Lunyu Wu ◽  
Zhanbin Li ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Wind Wave ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Wave Characteristics ◽  
Engineering Environment

The Study of Wind, Wave, Current Extreme Parameters and Climatic Characters of the South China Sea

1999 ◽  
Vol 33 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Fangli Qiao ◽  
Shunnan Chen ◽  
Chenxin Li ◽  
Wei Zhao ◽  
Zengdi Pan
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
Wind Wave ◽  
The South China Sea ◽  
Environmental Research ◽  
The South ◽  
China Sea ◽  
Extreme Parameters ◽  
And Sea Level

Based on the advanced wind, wave numerical model of the Laboratory of Geophysical Fluid Dynamics and Numerical Modeling (LAGFD), the current 3-D Princeton Ocean Model (POM), and collected data, Part I hindcasts the strongest 298 tropical cyclones (TCs) affecting the area 19°∼23°N, 113°∼118°E) in the South China Sea (SCS) from 1945 to 1995. It also provides the extreme parameters of wind, wave, current and sea level of the above region, and briefly analyzes the climate characteristics of SCS (15°∼27°N, 108°∼122°E). In part II, the strongest 211 TCs affecting the Wenchang area (16°∼23°N, 105°∼114°E) were hindcast. The marine environmental parameters of wind, wave, current and sea level at 35 points in the research area were provided. The present work puts forward the concept of the conditional extreme value. The conditional extreme values of the point (20°N, 112°E) were also given. The research provides basic data for ocean environmental research and engineering design in this region.

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