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.

scholarly journals Evaluation of HRCLDAS and ERA5 Datasets for Near-Surface Wind over Hainan Island and South China Sea

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 766
Author(s):  
Yi Jiang ◽  
Shuai Han ◽  
Chunxiang Shi ◽  
Tao Gao ◽  
Honghui Zhen ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Surface Wind ◽  
Hainan Island ◽  
The South China Sea ◽  
Wind Data ◽  
The South ◽  
Near Surface ◽  
China Sea

Near-surface wind data are particularly important for Hainan Island and the South China Sea, and there is a wide range of wind data sources. A detailed understanding of the reliability of these datasets can help us to carry out related research. In this study, the hourly near-surface wind data from the High-Resolution China Meteorological Administration (CMA) Land Data Assimilation System (HRCLDAS) and the fifth-generation ECMWF atmospheric reanalysis data (ERA5) were evaluated by comparison with the ground automatic meteorological observation data for Hainan Island and the South China Sea. The results are as follows: (1) the HRCLDAS and ERA5 near-surface wind data trend was basically the same as the observation data trend, but there was a smaller bias, smaller root-mean-square errors, and higher correlation coefficients between the near-surface wind data from HRCLDAS and the observations; (2) the quality of HRCLDAS and ERA5 near-surface wind data was better over the islands of the South China Sea than over Hainan Island land. However, over the coastal areas of Hainan Island and island stations near Sansha, the quality of the HRCLDAS near-surface wind data was better than that of ERA5; (3) the quality of HRCLDAS near-surface wind data was better than that of ERA5 over different types of landforms. The deviation of ERA5 and HRCLDAS wind speed was the largest along the coast, and the quality of the ERA5 wind direction data was poorest over the mountains, whereas that of HRCLDAS was poorest over hilly areas; (4) the accuracy of HRCLDAS at all wind levels was higher than that of ERA5. ERA5 significantly overestimated low-grade winds and underestimated high-grade winds. The accuracy of HRCLDAS wind ratings over the islands of the South China Sea was significantly higher than that over Hainan Island land, especially for the higher wind ratings; and (5) in the typhoon process, the simulation of wind by HRCLDAS was closer to the observations, and its simulation of higher wind speeds was more accurate than the ERA5 simulations.

Volume, heat, and freshwater transports from the South China Sea to Indonesian seas in the boreal winter of 2007–2008

2010 ◽  
Vol 115 (C12) ◽  
Author(s):  
Guohong Fang ◽  
R. Dwi Susanto ◽  
Sugiarta Wirasantosa ◽  
Fangli Qiao ◽  
Agus Supangat ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Boreal Winter ◽  
The South ◽  
Indonesian Seas ◽  
China Sea ◽  
Volume Heat

scholarly journals Spatiotemporal trends in the southwest monsoon wind-driven upwelling in the southwestern part of the South China Sea

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171979 ◽  
Author(s):  
Poh Heng Kok ◽  
Mohd Fadzil Mohd Akhir ◽  
Fredolin Tangang ◽  
Mohd Lokman Husain
Keyword(s):  
South China Sea ◽  
South China ◽  
Southwest Monsoon ◽  
The South China Sea ◽  
The South ◽  
Southwestern Part ◽  
China Sea ◽  
Spatiotemporal Trends ◽  
Monsoon Wind

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

Polyipnus danae n.sp. (Stomiiformes: Sternoptychidae): a new hatchetfish species from the South China Sea

1990 ◽  
Vol 68 (6) ◽  
pp. 1112-1114
Author(s):  
Antony S. Harold
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Western Pacific Ocean ◽  
The South ◽  
Indonesian Seas ◽  
China Sea ◽  
Close Relationship ◽  
Gill Raker ◽  
A New Species

A new species of the marine hatchetfish genus Polyipnus is described, based upon two collections from the South China Sea, western Pacific Ocean. The specimens, collected in 1929 during the circumglobal MV Dana expedition, were not examined in detail until recently. Although Polyipnus danae n.sp. is distinguished from all other species of Polyipnus by a single long spine on each posttemporal bone and 11 or 12 anal photophores, these features and its low gill-raker counts suggest a close relationship to species of the P. laternatus Garman complex, especially to P. aquavitus Baird and P. unispinus Schultz which also occur in Indonesian seas.

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