首页> 外文期刊>海洋理工学会誌 >Effects of Wind Fluctuations and Various Drag Coefficient Models on Air-sea Momentum Flux Estimation at High Wind Speeds
【24h】

Effects of Wind Fluctuations and Various Drag Coefficient Models on Air-sea Momentum Flux Estimation at High Wind Speeds

机译:风力波动和各种阻力系数模型对大风速下海气动量通量估计的影响

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Drag coefficient on the ocean surface is determined by various studies based on different mechanisms, such as turbulence and wave breaking, closely related to wind speed. The global ocean datasets of wind speed are distributed by various temporal resolutions based on reanalysis, assimilation, and satellite data. Recently, the wind speed data with higher temporal resolution have been provided. Using 6-hourly and hourly wind datasets, the air-sea momentum fluxes were estimated by several drag coefficient models proposed by Large Yeager (2009), Andreas et al, (2012), Takagaki et al. (2012), Hwang (2018). The globally averaged annual mean air-sea momentum fluxes were derived from the different drag coefficient models. The maximum difference of the annual mean values among the models reaches approximately 30 of annual mean values. The meridional structure of zonally averaged annual mean air-sea momentum flux has double peak at relatively higher latitudes from 40°S/N to 60°N/S. At those peaks maximum difference among the models reaches more than 30 of the zonally averaged annual mean. In terms of differences in temporal resolution on the wind speed datasets on each grid, the differences between hourly and 6-hourly wind data became larger with decreasing average period. The maximum difference of 66.7 was recognized on daiiy mean. The large difference was remarkable in higher wind speed regions, such as typhoon's paths in the western Pacific. The effects of wind variability on different temporal resolution datasets are significant for estimating the air-sea momentum flux.
机译:海洋表面的阻力系数是根据不同的机理(如湍流和破浪)通过各种研究确定的,这些机制与风速密切相关。全球海洋风速数据集基于再分析、同化和卫星数据,按各种时间分辨率分布。最近,提供了具有更高时间分辨率的风速数据。使用6小时和每小时的风数据集,通过Large&Yeager(2009),Andreas等人(2012),Takagaki等人(2012)和Hwang(2018)提出的几个阻力系数模型估计了海气动量通量。全球平均年平均海气动量通量由不同阻力系数模型推导而来。各模型之间年均值的最大差异约为年均值的30%。纬向平均年平均气海动量通量的经向结构在纬度较高的地区为40°S/N-60°N/S,具有双峰。在这些峰值下,模型之间的最大差异达到区域平均年平均值的 30% 以上。在各网格风速数据集的时间分辨率差异方面,逐小时和6小时风数据之间的差异随着平均周期的减小而变大。最大差异为66.7%,在daiiy平均值上得到确认。在风速较高的地区,如西太平洋台风的路径,这种差异很大。风变率对不同时间分辨率数据集的影响对于估计海气动量通量具有重要意义。

著录项

  • 来源
    《海洋理工学会誌》 |2022年第1期|73-79|共7页
  • 作者单位

    Department of Mechanical Engineering, Faculty of Science and Engineering, Kindai University, 3-4-1 Kowakae, Higashiosaka, Osaka 577-8502 Japan;

    Graduate School of Science and Engineering, Kindai University, 3-4-1 Kowakae, Higashiosaka, Osaka 577-8502 Japan;

    Department of Mechanical Engineering, University of Hyogo, 2167 Syosya, Himeji, Hyogo 671-2280, JapanCenter for Coupled Ocean-Atmosphere Research, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology,2-15 Natsushima, Yokosuka, Kanagawa 237-0061, JapanDepartment of Energy and Materials, Faculty of Science and Engineering,Kindai University, 3-4-1 Kowkae, Higashiosaka,Osaka 577-8502, Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

    Air-sea momentum flux; Drag coefficient; Global reanalysis wind speed dataset; Wind variability; temporal resolution of wind speed data;

    机译:海空动量通量;阻力系数;全球再分析风速数据集;风变率;风速数据的时间分辨率;
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号