A Novel Sea State Classification Scheme of the Global CFOSAT Wind and Wave Observations

IF 3.3 2区 地球科学 Q1 OCEANOGRAPHY Journal of Geophysical Research-Oceans Pub Date : 2024-11-03 DOI:10.1029/2023JC020686
Huimin Li, Bertrand Chapron, Douglas Vandemark, Wenming Lin, Danièle Hauser, Yijun He, Fabrice Collard
{"title":"A Novel Sea State Classification Scheme of the Global CFOSAT Wind and Wave Observations","authors":"Huimin Li,&nbsp;Bertrand Chapron,&nbsp;Douglas Vandemark,&nbsp;Wenming Lin,&nbsp;Danièle Hauser,&nbsp;Yijun He,&nbsp;Fabrice Collard","doi":"10.1029/2023JC020686","DOIUrl":null,"url":null,"abstract":"<p>Ocean waves are essential elements across the air-sea interface, regulating momentum and energy transfer. The mixture of wind sea and ocean swell coupled with surface winds results in diverse sea state conditions that modify the local air-sea interaction. Previous classifications of wind waves and swells are mostly binary that are insufficient to represent the complexity of sea states. In this study, we utilize wind and wave measurements from the China-France Oceanography Satellite (CFOSAT) to construct an observational wind-wave ensemble. Four key parameters: wind speed, significant wave height, inverse wave age, and spectral width are selected out of six variables based on their correlations. Employing the unsupervised learning of k-means clustering, global sea states are categorized into six distinct classes. These classes, characterized by unique centroids and separated in the feature space, represent specific wind regimes and degrees of wave development. Global occurrence highlights that each sea state is region-specific, bridging the spatial gap of swell and wind sea dominated areas, respectively. This new grouping scheme complements the traditional wind sea and/or swell classification by resolving the diversity of wave regimes. The six-class classification enables us to identify transitional states and hybrid conditions that may have been overlooked in the binary classification scheme, which shall help investigate the impact of ocean waves on the air-sea interaction under varying sea states.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"129 11","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023JC020686","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research-Oceans","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023JC020686","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

Ocean waves are essential elements across the air-sea interface, regulating momentum and energy transfer. The mixture of wind sea and ocean swell coupled with surface winds results in diverse sea state conditions that modify the local air-sea interaction. Previous classifications of wind waves and swells are mostly binary that are insufficient to represent the complexity of sea states. In this study, we utilize wind and wave measurements from the China-France Oceanography Satellite (CFOSAT) to construct an observational wind-wave ensemble. Four key parameters: wind speed, significant wave height, inverse wave age, and spectral width are selected out of six variables based on their correlations. Employing the unsupervised learning of k-means clustering, global sea states are categorized into six distinct classes. These classes, characterized by unique centroids and separated in the feature space, represent specific wind regimes and degrees of wave development. Global occurrence highlights that each sea state is region-specific, bridging the spatial gap of swell and wind sea dominated areas, respectively. This new grouping scheme complements the traditional wind sea and/or swell classification by resolving the diversity of wave regimes. The six-class classification enables us to identify transitional states and hybrid conditions that may have been overlooked in the binary classification scheme, which shall help investigate the impact of ocean waves on the air-sea interaction under varying sea states.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
全球 CFOSAT 风浪观测数据的新型海况分类方案
海浪是整个海气界面的基本要素,调节着动量和能量的传递。风海和海涌的混合与海面风的作用导致了不同的海况条件,从而改变了当地的海气相互作用。以往对风浪和涌浪的分类大多是二元分类,不足以体现海况的复杂性。在本研究中,我们利用中法海洋卫星(CFOSAT)的风浪测量数据构建了观测风浪集合。根据风速、显波高、反波龄和频谱宽度这四个关键参数的相关性,从六个变量中选取了这四个参数。通过 k-means 聚类的无监督学习,全球海况被分为六个不同的类别。这些类别以独特的中心点为特征,在特征空间中相互分离,代表了特定的风况和波浪发展程度。全球海况的出现凸显了每种海况都具有区域特异性,分别弥补了涌浪和风海主导区域的空间差距。这种新的分组方案是对传统的风海和/或涌浪分类的补充,解决了波浪机制的多样性问题。六级分类使我们能够识别二元分类方案中可能被忽视的过渡状态和混合状态,这将有助于研究不同海况下海浪对海气相互作用的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Geophysical Research-Oceans
Journal of Geophysical Research-Oceans Earth and Planetary Sciences-Oceanography
CiteScore
7.00
自引率
13.90%
发文量
429
期刊最新文献
Two Types of Intraseasonal Variability With a Vertical Difference in the Currents East of Luzon Island and Their Sources An Improved Bio-Physical Parameterization for Ocean Radiant Heating in Conditions of Near-Surface Stratification Beach and Backward Bragg Sea-Swell Wave Reflection Across Rocky and Sandy Shores The Influence of Surface Fluxes on Export of Southern Ocean Intermediate and Mode Water in Coupled Climate Models Extremes and Short-Term Fluctuations in Coastal Ocean Acidification and Hypoxia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1