IOCAS-IR  > 海洋环流与波动重点实验室
Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea
Li, Zhao1,2,3,4; Li, Shuiqing1,2,3,4; Hu, Po1,2,3,4; Feng, Xingru1,2,3,4; Mo, Dongxue1,2,4; Li, Jian5
2023-12-01
Source PublicationOCEAN MODELLING
ISSN1463-5003
Volume186Pages:13
Corresponding AuthorLi, Shuiqing(lishuiqing@qdio.ac.cn)
AbstractThe northern East China Sea (NECS) is a semienclosed basin that is frequently attacked by tropical cyclones (TCs), and the accompanied storm surges are huge threats to coastal regions. In this study, numerical simulations of storm surges in the NECS are performed in the impacts of wave-induced surface drag (wave drag) and wave radiation stress (wave setup). The wave drag is estimated using a wave-steepness-dependent roughness parameterization. Comparisons with the observations reveal that the numerical simulations can be significantly improved by considering enhanced wave drag. The wave drag accounts for 15-22 % increase in the peak storm surge in the southern coastal regions of the Bohai Sea, which is much more significant than the wave setup (accounting for less than 10 % increase). Analysis with the wind and wave conditions shows that the significant impact of wave drag is attributed to the shoaling of young fetch-limited waves, which is accumulative toward the shoreline. The impact of different roughness parameterizations, such as wave-age-dependent scaling, is discussed. The results highlight the necessity of considering the influence of wave-enhanced surface drag on surge level in fetch-limited shoaling waters.
KeywordStorm surge Wave drag Wave setup Wave steepness Topography
DOI10.1016/j.ocemod.2023.102283
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41976010] ; National Natural Science Foundation of China[42076214] ; National Natural Science Foundation of China[42006027] ; Open Fund Project of Key Laboratory of Marine Environmental Information Technology and Oceanographic Data Center, Institute of Oceanography, Chinese Academy of Sciences (IOCAS)
WOS Research AreaMeteorology & Atmospheric Sciences ; Oceanography
WOS SubjectMeteorology & Atmospheric Sciences ; Oceanography
WOS IDWOS:001108275300001
PublisherELSEVIER SCI LTD
WOS KeywordSURFACE WIND STRESS ; HURRICANE WAVES ; TIDE-SURGE ; MODEL ; ROUGHNESS ; INUNDATION ; SPRAY ; COAST ; SWAN ; FLUX
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/184023
Collection海洋环流与波动重点实验室
Corresponding AuthorLi, Shuiqing
Affiliation1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Ocean & Climate Dynam, Qingdao, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China
5.North China Sea Marine Forecasting Ctr State Ocean, Qingdao, Peoples R China
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Zhao,Li, Shuiqing,Hu, Po,et al. Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea[J]. OCEAN MODELLING,2023,186:13.
APA Li, Zhao,Li, Shuiqing,Hu, Po,Feng, Xingru,Mo, Dongxue,&Li, Jian.(2023).Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea.OCEAN MODELLING,186,13.
MLA Li, Zhao,et al."Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea".OCEAN MODELLING 186(2023):13.
Files in This Item:
File Name/Size DocType Version Access License
1-s2.0-S146350032300(18119KB)期刊论文出版稿限制开放CC BY-NC-SAView
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Zhao]'s Articles
[Li, Shuiqing]'s Articles
[Hu, Po]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Zhao]'s Articles
[Li, Shuiqing]'s Articles
[Hu, Po]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Zhao]'s Articles
[Li, Shuiqing]'s Articles
[Hu, Po]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 1-s2.0-S1463500323001233-main.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.