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Extreme wave climate variability in South China Sea

文献类型：期刊论文

作者Wang, Zhifeng1; Li, Shuiqing2,3; Dong, Sheng1; Wu, Kejian4,5; Yu, Huaming4,5; Wang, Linyan4; Li, Wenbo4
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2018-12-01
卷号73页码:586-594
ISSN号0303-2434
关键词South China Sea Extreme wave climate Generalized extreme value distribution Seasonal variability Interannual climatology
DOI10.1016/j.jag.2018.04.009
英文摘要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.
WOS关键词OCEAN
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
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000446291100050
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; NSFC-Shandong Joint Fund for Marine Science Research Centers
源URL[http://ir.qibebt.ac.cn/handle/337004/11766]  
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.

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来源：青岛生物能源与过程研究所

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