IOCAS-IR  > 海洋环流与波动重点实验室
Extreme wave climate variability in South China Sea
Wang, Zhifeng1; Li, Shuiqing2,3; Dong, Sheng1; Wu, Kejian4,5; Yu, Huaming4,5; Wang, Linyan4; Li, Wenbo4
2018-12-01
Source PublicationINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN0303-2434
Volume73Pages:586-594
AbstractExtreme 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.
KeywordSouth China Sea Extreme wave climate Generalized extreme value distribution Seasonal variability Interannual climatology
DOI10.1016/j.jag.2018.04.009
Indexed BySCI
Language英语
Funding ProjectNSFC-Shandong Joint Fund for Marine Science Research Centers[U1406402] ; 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]
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000446291100050
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/160430
Collection海洋环流与波动重点实验室
Corresponding AuthorWu, Kejian
Affiliation1.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
Recommended Citation
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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