Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas

doi:10.1016/j.ocemod.2023.102297

	Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas
	Zhao, Guangfeng 1,2; Li, Delei 2; Camus, Paula 3; Zhang, Xinli 1; Qi, Jifeng 2; Yin, Baoshu 2,4,5
	2024-02-01
发表期刊	OCEAN MODELLING
ISSN	1463-5003
卷号	187 页码:15
通讯作者	Li, Delei([email protected])
摘要	A comprehensive understanding of wave characteristics and their variability, based on reliable long-term wave data, is essential in the design, construction, operation and management in offshore and coastal applications. This study aims to downscale multivariate wave data in the Chinese marginal seas at different time scales by employing two weather-type statistical downscaling models. The calibration of both models involves the usage of historical data from ERA5 reanalysis, with sea level pressure and the squared sea level pressure gradient as the predictors and wave parameters as the predictands. The predictor definition considers the swell components in the local wave data. Both models categorize the atmospheric predictors into different weather types using the K-means algorithm (KMA), with and without regression-guided clustering (referred to as WTD-RG and WTD, respectively). Each weather type is associated with sea state parameters. The downscaled wave data from both models are validated against ERA5 data. The results show that both models can generally reproduce the wave statistics for the significant wave height, mean wave direction, mean wave energy flux, and 95th percentile of the significant wave height. However, the WTD-RG model performs better than the WTD model. Additionally, the ERA5 data reveal increasing trends in the mean significant wave height for most areas of the East China Sea and South China Sea and decreasing trends in the Bohai Sea, Yellow Sea, and Beibu Gulf from 1959 to 2021. These patterns are well captured by the WTD-RG model but not by the WTD model.
关键词	Statistical downscaling Weather-type Wave climate Extreme wave Chinese marginal seas
DOI	10.1016/j.ocemod.2023.102297
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42176203]; 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	Meteorology & Atmospheric Sciences ; Oceanography
WOS类目	Meteorology & Atmospheric Sciences ; Oceanography
WOS记录号	WOS:001135109100001
出版者	ELSEVIER SCI LTD
WOS关键词	WIND-SPEED ; PROJECTIONS ; HEIGHT ; TRENDS ; REANALYSIS ; HINDCAST ; MODEL
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/199645
专题	海洋生态与环境科学重点实验室海洋环流与波动重点实验室
通讯作者	Li, Delei
作者单位	1.Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 3.Univ Southampton, Natl Oceanog Ctr, Sch Ocean & Earth Sci, Southampton, England 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Chinese Acad Sci, CAS Engn Lab Marine Ranching, Inst Oceanol, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Guangfeng,Li, Delei,Camus, Paula,et al. Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas[J]. OCEAN MODELLING,2024,187:15.
APA	Zhao, Guangfeng,Li, Delei,Camus, Paula,Zhang, Xinli,Qi, Jifeng,&Yin, Baoshu.(2024).Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas.OCEAN MODELLING,187,15.
MLA	Zhao, Guangfeng,et al."Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas".OCEAN MODELLING 187(2024):15.