An evaluation of input/dissipation terms in WAVEWATCH III using in situ and satellite significant wave height data in the South China Sea

2017 ◽  
Vol 36 (3) ◽  
pp. 20-25 ◽  
Author(s):  
Jichao Wang ◽  
Jie Zhang ◽  
Jungang Yang ◽  
Wendi Bao ◽  
Guoli Wu ◽  
...  
Keyword(s):  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Significant Wave Height ◽  
The South China Sea ◽  
Wavewatch Iii ◽  
Significant Wave ◽  
China Sea ◽  
Height Data

scholarly journals Long-Term Variability of Extreme Significant Wave Height in the South China Sea

2016 ◽  
Vol 2016 ◽  
pp. 1-21 ◽  
Author(s):  
Adekunle Osinowo ◽  
Xiaopei Lin ◽  
Dongliang Zhao ◽  
Zhifeng Wang
Keyword(s):  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Significant Wave Height ◽  
The South China Sea ◽  
Wave Hindcast ◽  
Significant Wave ◽  
China Sea ◽  
Increasing Trend

This paper describes long-term spatiotemporal trends in extreme significant wave height (SWH) in the South China Sea (SCS) based on 30-year wave hindcast. High-resolution reanalysis wind field data sets are employed to drive a spectral wave model WAVEWATCH III™ (WW3). The wave hindcast information is validated using altimeter wave information (Topex/Poseidon). The model performance is satisfactory. Subsequently, the trends in yearly/seasonal/monthly mean extreme SWH are analyzed. Results showed that trends greater than 0.05 m yr−1are distributed over a large part of the central SCS. During winter, strong positive trends (0.07–0.08 m yr−1) are found in the extreme northeast SCS. Significant trends greater than 0.01 m yr−1are distributed over most parts of the central SCS in spring. In summer, significant increasing trends (0.01–0.05 m yr−1) are distributed over most regions below latitude 16°N. During autumn, strong positive trends between 0.02 and 0.08 m yr−1are found in small regions above latitude 12°N. Increasing positive trends are found to be generally significant in the central SCS in December, February, March, and July. Furthermore, temporal trend analysis showed that the extreme SWH exhibits a significant increasing trend of 0.011 m yr−1. The extreme SWH exhibits the strongest increasing trend of 0.03 m yr−1in winter and showed a decreasing trend of −0.0098 m yr−1in autumn.

South China Sea Wind-Wave Characteristics. Part I: Validation of Wavewatch-III Using TOPEX/Poseidon Data

2004 ◽  
Vol 21 (11) ◽  
pp. 1718-1733 ◽  
Author(s):  
Peter C. Chu ◽  
Yiquan Qi ◽  
Yuchun Chen ◽  
Ping Shi ◽  
Qingwen Mao
Keyword(s):  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Significant Wave Height ◽  
Wind Wave ◽  
Model Errors ◽  
Wavewatch Iii ◽  
Significant Wave ◽  
China Sea ◽  
Wave Characteristics

Abstract A full-spectral third-generation ocean wind-wave model, Wavewatch-III, has been implemented in the South China Sea (SCS) for investigating wind-wave characteristics. This model was developed at the Ocean Modeling Branch of the National Centers for Environmental Prediction (NCEP). The NASA QuickSCAT data (0.25° resolution) 2 times daily were used to simulate the wind waves for the entire year of 2000. The significant wave heights from Wavewatch-III are compared to the TOPEX/Poseidon (T/P) significant wave height data over the satellite crossover points in SCS. The model errors of significant wave height have Gaussian-type distribution with a small mean value of 0.02 m (almost no bias). The model errors are comparable to the T/P altimeter accuracy (0.5 m) in the central SCS and are smaller than the T/P altimeter accuracy in the northern and southern SCS, which indicates the capability of Wavewatch-III for SCS wave simulation.

scholarly journals Long-Term Prediction of Significant Wave Height Based on SARIMA Model in the South China Sea and Adjacent Waters

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 88082-88092 ◽  
Author(s):  
Shaobo Yang ◽  
Zhenquan Zhang ◽  
Linlin Fan ◽  
Tianliang Xia ◽  
Shanhua Duan ◽  
...  
Keyword(s):  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Significant Wave Height ◽  
The South China Sea ◽  
Sarima Model ◽  
Significant Wave ◽  
China Sea ◽  
Long Term Prediction

scholarly journals Extreme significant wave height of tropical cyclone waves in the South China Sea

2019 ◽  
Vol 19 (10) ◽  
pp. 2067-2077 ◽  
Author(s):  
Zhuxiao Shao ◽  
Bingchen Liang ◽  
Huajun Li ◽  
Ping Li ◽  
Dongyoung Lee
Keyword(s):  
Tropical Cyclone ◽  
South China Sea ◽  
Wave Height ◽  
South China ◽  
Significant Wave Height ◽  
Assessment Method ◽  
The South China Sea ◽  
Significant Wave ◽  
Wave Heights ◽  
Significant Wave Heights

Abstract. Extreme significant wave heights are assessed in the South China Sea (SCS), as assessments of wave heights are crucial for coastal and offshore engineering. Two significant factors include the initial database and assessment method. The initial database is a basis for assessment, and the assessment method is used to extrapolate appropriate return-significant wave heights during a given period. In this study, a 40-year (1975–2014) hindcast of tropical cyclone waves is used to analyse the extreme significant wave height, employing the peak over threshold (POT) method with the generalized Pareto distribution (GPD) model. The peak exceedances over a sufficiently large value (i.e. threshold) are fitted; thus, the return-significant wave heights are highly dependent on the threshold. To determine a suitable threshold, the sensitivity of return-significant wave heights and the characteristics of tropical cyclone waves are studied. The sample distribution presents a separation that distinguishes the high sample from the low sample, and this separation is within the stable threshold range. Because the variation in return-significant wave heights in this range is generally small and the separation is objectively determined by the track and intensity of the tropical cyclone, the separation is selected as a suitable threshold for extracting the extreme sample in the tropical cyclone wave. The asymptotic tail approximation and estimation uncertainty show that the selection is reasonable.

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