The development of a weather-type statistical downscaling model for wave climate based on wave clustering

doi:10.1016/j.oceaneng.2024.117863

IOCAS-IR > 海洋环流与波动重点实验室

	The development of a weather-type statistical downscaling model for wave climate based on wave clustering
	Zhao, Guangfeng 1,2; Li, Delei 1,3,4; Yang, Shuguo 2; Qi, Jifeng 1,4; Yin, Baoshu 1,4,5
	2024-07-15
发表期刊	OCEAN ENGINEERING
ISSN	0029-8018
卷号	304 页码:13
通讯作者	Li, Delei(deleili@qdio.ac.cn)
摘要	Reliable long-term wave data are significant for understanding changes and variability of ocean waves, which has important implications for coastal engineering, land erosion, and coastal flooding. This study develops a regression-guided weather-type statistical method for modelling regional or global significant wave height Hs. The model classifies the atmospheric circulation patterns (predictor) through the regression-guided clustering approach, linking the atmospheric circulation with clustered regional Hs (predictand). It is applied in the Chinese marginal seas and also the global ocean. A comprehensive skill assessment shows robust skill and computationally efficiency of the model in capturing climatology and variability of both mean and extreme Hs in the Chinese marginal seas and global oceans. Furthermore, the reconstructed global Hs data show similar seasonal trends as the ERA5 data, with a gradual decrease in Hs observed during boreal summer in the central Pacific and western North Atlantic regions at lower latitudes. This method proves to be robust for both regional and global Hs reconstruction, and also applicable for Hs climate prediction and projections.
关键词	Statistical downscaling Weather-type Wave climate Wave clustering Extreme waves
DOI	10.1016/j.oceaneng.2024.117863
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42176203] ; National Key Research and Development Program of China[2023YFC3008200] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000] ; Youth Innovation Promotion Association CAS[2022204] ; Taishan Scholars Program[tsqn202211252]
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Civil ; Engineering, Ocean ; Oceanography
WOS记录号	WOS:001229692000001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS关键词	PROJECTIONS ; HEIGHTS ; TRENDS
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/185844
专题	海洋环流与波动重点实验室海洋生态与环境科学重点实验室
通讯作者	Li, Delei
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China 3.Laoshan Lab, Qingdao, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Chinese Acad Sci, CAS Engn Lab Marine Ranching, Inst Oceanol, Qingdao, Peoples R China
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Zhao, Guangfeng,Li, Delei,Yang, Shuguo,et al. The development of a weather-type statistical downscaling model for wave climate based on wave clustering[J]. OCEAN ENGINEERING,2024,304:13.
APA	Zhao, Guangfeng,Li, Delei,Yang, Shuguo,Qi, Jifeng,&Yin, Baoshu.(2024).The development of a weather-type statistical downscaling model for wave climate based on wave clustering.OCEAN ENGINEERING,304,13.
MLA	Zhao, Guangfeng,et al."The development of a weather-type statistical downscaling model for wave climate based on wave clustering".OCEAN ENGINEERING 304(2024):13.