Extreme wave climate variability in South China Sea

doi:10.1016/j.jag.2018.04.009

QIBEBT-IR

	Extreme wave climate variability in South China Sea
	Wang, Zhifeng 1; Li, Shuiqing 2,3; Dong, Sheng1 ; Wu, Kejian 4,5; Yu, Huaming 4,5; Wang, Linyan 4; Li, Wenbo 4
	2018-12-01
发表期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	0303-2434
卷号	73 页码:586-594
摘要	Extreme wave climate variability in the South China Sea (SCS) was investigated using significant wave height (SWH) data simulated by the third generation wave model WAVEWATCH-Ill (WW-III) for the period 1976-2014. The wind forcing data was using the objective reanalysis wind dataset from the weather research and forecasting (WRF) model. The simulated SWH was well validated by observation data from satellite altimeter and in-situ buoys. A generalized extreme value (GEV) model was applied to analyze the extreme wave climate variability. Monthly significant wave height maxima is used to characterize the seasonal variability. The spatial distributions of positional and scale parameters are achieved. The positional parameter values reach the maximum in winter, while the scale parameter values are greater in summer and autumn due to the impact of typhoon. The regression analysis of harmonic functions was applied to give the annual cycle. Interannual climatology of extreme wave climate from Empirical Orthogonal Function (EOF) decomposition method and spectrum analysis method revealed a dominant 12 months period and a 22 months period, respectively. Results show that El Nino may significantly affect the extreme wave climate variability in the SCS.
关键词	South China Sea Extreme wave climate Generalized extreme value distribution Seasonal variability Interannual climatology
DOI	10.1016/j.jag.2018.04.009
关键词[WOS]	OCEAN
语种	英语
资助项目	National Key Research and Development Program of China[2016YFC1402000] ; National Natural Science Foundation of China[51509226] ; National Natural Science Foundation of China[51409226] ; National Natural Science Foundation of China[51779236] ; National Natural Science Foundation of China[41606024] ; NSFC-Shandong Joint Fund for Marine Science Research Centers[U1406402]
WOS研究方向	Remote Sensing
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; NSFC-Shandong Joint Fund for Marine Science Research Centers
WOS类目	Remote Sensing
WOS记录号	WOS:000446291100050
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://ir.qibebt.ac.cn/handle/337004/11767
专题	中国科学院青岛生物能源与过程研究所
通讯作者	Wu, Kejian
作者单位	1.Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China 4.Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao 266100, Peoples R China 5.Ocean Univ China, Key Lab Phys Oceanog, Minist Educ, Qingdao 266003, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhifeng,Li, Shuiqing,Dong, Sheng,et al. Extreme wave climate variability in South China Sea[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,73:586-594.
APA	Wang, Zhifeng.,Li, Shuiqing.,Dong, Sheng.,Wu, Kejian.,Yu, Huaming.,...&Li, Wenbo.(2018).Extreme wave climate variability in South China Sea.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,73,586-594.
MLA	Wang, Zhifeng,et al."Extreme wave climate variability in South China Sea".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 73(2018):586-594.