Improvement of drag coefficient parameterization of WAVEWATCH-III using remotely sensed products during tropical cyclones

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY
Yuyi Hu, Weizeng Shao, Ying Xu, Qingping Zou, Xingwei Jiang
{"title":"Improvement of drag coefficient parameterization of WAVEWATCH-III using remotely sensed products during tropical cyclones","authors":"Yuyi Hu, Weizeng Shao, Ying Xu, Qingping Zou, Xingwei Jiang","doi":"10.1007/s10236-024-01638-3","DOIUrl":null,"url":null,"abstract":"<p>In this study, the parameterization of the drag coefficient is improved using remotely sensed wind and wave products during tropical cyclones (TCs) and implemented for wave simulation using a third-generation numeric model, namely, WAVEWATCH-III (WW3). The significant wave height and peak wavelength from SWIM(Surface Waves Investigation and Monitoring) measured wave spectra are collocated with wind speeds derived from the Haiyang-2 (HY-2) constellation, Soil Moisture Active–Passive (SMAP) radiometer, and Advanced Microwave Scanning Radiometer-2 (AMSR2) in 2019 − 2023. Cyclonic winds at a spatial resolution of 0.25° and intervals of 6 h are obtained by fusion remotely sensed winds from the HY-2 scatterometers and radiometers from SMAP and AMSR2. The parameterization of the drag coefficient during TCs is improved using a matching dataset for 100 TCs consisting of fusion winds and SWIM-measured wave spectra. The significant wave height (SWH) is simulated by WW3 using the optimized parameterization in the several input/dissipation source terms, i.e., ST2, ST3, ST4 and ST6. It is found that the accuracy of simulated SWH using optimized parameterization in switch ST2, ST3 and ST4 is worse than that using optimized parameterization in switch ST6. Moreover, taking two parameterizations in switch ST6 of WW3, validation against the measurements from altimeters and the SWH calculated by SWIM-measured wave spectrum during other 20 TCs yields a root mean square error (RMSE) of 0.60 m, and a correlation coefficient (COR) of 0.85 by optimized parameterization, which are better than the 0.68 m RMSE, and 0.80 COR obtained using existing parameterization. Furthermore, the variation in the bias (altimeter minus WW3) shows that the larger bias (&gt; 2 m) at wind speed &gt; 20 m/s or SWH &gt; 6 m is significantly improved using the optimized parameterization formula and fusion remotely sensed winds.</p>","PeriodicalId":19387,"journal":{"name":"Ocean Dynamics","volume":"63 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Dynamics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s10236-024-01638-3","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, the parameterization of the drag coefficient is improved using remotely sensed wind and wave products during tropical cyclones (TCs) and implemented for wave simulation using a third-generation numeric model, namely, WAVEWATCH-III (WW3). The significant wave height and peak wavelength from SWIM(Surface Waves Investigation and Monitoring) measured wave spectra are collocated with wind speeds derived from the Haiyang-2 (HY-2) constellation, Soil Moisture Active–Passive (SMAP) radiometer, and Advanced Microwave Scanning Radiometer-2 (AMSR2) in 2019 − 2023. Cyclonic winds at a spatial resolution of 0.25° and intervals of 6 h are obtained by fusion remotely sensed winds from the HY-2 scatterometers and radiometers from SMAP and AMSR2. The parameterization of the drag coefficient during TCs is improved using a matching dataset for 100 TCs consisting of fusion winds and SWIM-measured wave spectra. The significant wave height (SWH) is simulated by WW3 using the optimized parameterization in the several input/dissipation source terms, i.e., ST2, ST3, ST4 and ST6. It is found that the accuracy of simulated SWH using optimized parameterization in switch ST2, ST3 and ST4 is worse than that using optimized parameterization in switch ST6. Moreover, taking two parameterizations in switch ST6 of WW3, validation against the measurements from altimeters and the SWH calculated by SWIM-measured wave spectrum during other 20 TCs yields a root mean square error (RMSE) of 0.60 m, and a correlation coefficient (COR) of 0.85 by optimized parameterization, which are better than the 0.68 m RMSE, and 0.80 COR obtained using existing parameterization. Furthermore, the variation in the bias (altimeter minus WW3) shows that the larger bias (> 2 m) at wind speed > 20 m/s or SWH > 6 m is significantly improved using the optimized parameterization formula and fusion remotely sensed winds.

Abstract Image

利用热带气旋期间的遥感产品改进 WAVEWATCH-III 的阻力系数参数化
在本研究中,利用热带气旋(TC)期间的遥感风和波浪产品改进了阻力系数的参数化,并使用第三代数值模式(即 WAVEWATCH-III(WW3))进行波浪模拟。从 SWIM(表面波调查与监测)测得的波谱中得到的显波高和峰值波长与从海洋-2(HY-2)星座、土壤水分主动-被动(SMAP)辐射计和高级微波扫描辐射计-2(AMSR2)中得到的 2019-2023 年风速相吻合。通过融合 HY-2 散射计和 SMAP 及 AMSR2 辐射计的遥感风,可获得空间分辨率为 0.25°、时间间隔为 6 小时的气旋风。利用由融合风和 SWIM 测量的波谱组成的 100 个 TC 的匹配数据集,改进了 TC 期间阻力系数的参数化。通过 WW3 模拟显波高度(SWH),在几个输入/消散源项(即 ST2、ST3、ST4 和 ST6)中使用了优化的参数化。结果发现,使用开关 ST2、ST3 和 ST4 的优化参数模拟 SWH 的精度比使用开关 ST6 的优化参数模拟 SWH 的精度差。此外,以 WW3 开关 ST6 中的两个参数化为例,根据高度计的测量结果和 SWIM 在其他 20 次 TC 中测量的波谱计算的 SWH 进行验证,得出优化参数化的均方根误差(RMSE)为 0.60 米,相关系数(COR)为 0.85,优于现有参数化的均方根误差(RMSE)0.68 米和相关系数(COR)0.80。此外,偏差(高度计减 WW3)的变化表明,在风速为 20 米/秒或西南风高度为 6 米时,使用优化参数化公式和融合遥感风的偏差较大(2 米),而使用优化参数化公式和融合遥感风的偏差明显改善。
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 求助全文
来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research: Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes); Computational oceanography (all aspects of ocean modeling and data analysis); Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean); Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信