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The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass

机译:数值模拟对垂直混合参数化方案的敏感性:黄海冷水质量的案例研究

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摘要

The vertical mixing parameterization scheme,by providing the eff ects of some explicitly missed physical processes and more importantly closing the energy budgets,is a critical model component and therefore imposes signifi cant impacts on model performance.The Yellow Sea Cold Water Mass(YSCWM),as the most striking and unique phenomenon in the Yellow Sea during summer,is dramatically aff ected by vertical mixing process during its each stage and therefore seriously sensitive to the proper choice of parameterization scheme.In this paper,a hindcast of YSCWM in winter of 2006 was implemented by using the Regional Ocean Modeling System(ROMS).Three popular parameterization schemes,including the level 2.5 Mellor-Yamada closure(M-Y 2.5),Generic Length Scale closure(GLS)and K-Profi le Parameterization(KPP),were tested and compared with each other by conducting a series of sensitivity model experiments.The infl uence of diff erent parameterization schemes on modeling the YSCWM was then carefully examined and assessed based on these model experiments.Although reasonable thermal structure and its seasonal variation were well reproduced by all schemes,considerable diff erences could still be found among all experiments.A warmer and spatially smaller simulation of YSCWM,with very strong thermocline,appeared in M-Y 2.5 experiment,while a spatially larger YSCWM with shallow mixed layer was found in GLS and KPP schemes.Among all the experiments,the discrepancy,indicated by core temperature,appeared since spring,and grew gradually by the end of November.Additional experiments also confi rmed that the increase of background diff usivity could eff ectively weaken the YSCWM,in either strength or coverage.Surface wave,another contributor in upper layer,was found responsible for the shrinkage of YSCWM coverage.The treatment of wave eff ect as an additional turbulence production term in prognostic equation was shown to be more superior to the strategy of directly increasing diff usivity for a coastal region.
机译:通过提供一些明确错过的物理过程的EFE ECT等垂直混合参数化方案是一个重要的模型组件,因此对模型性能产生了强烈的显着影响。黄海冷水质量(YSCWM),夏季期间,最引人注目的和独特的现象在黄海,急剧AFF通过垂直混合过程中,它的每一个阶段ected,因此对参数scheme.In的本文YSCWM的2006年冬季后报正确选择严重敏感通过使用区域海洋建模系统(ROM)来实施.Three流行的参数化方案,包括2.5梅勒 - yamada封闭(我的2.5),通用长度缩放(GLS)和K-Profi Le参数化(KPP),进行了测试并通过进行一系列敏感性模型实验相比彼此相比。然后小心地仔细地建模YSCWM参数化方案的膨胀。基于这些模型实验检查和评估。虽然所有方案都良好地再现了合理的热结构及其季节性变化,但在所有实验中仍然可以找到相当大的差异。似乎对YSCWM的较温暖和空间较小的模拟,具有非常强烈的热量下划线在我的2.5实验中,在GLS和KPP方案中发现了具有浅层混合层的空间较大的YSCWM。春季以来,核心温度表示的所有实验,差异,截至11月底以来逐渐增长.Aditional实验同样的情况下,背景差异的增加倍数可能会在强度或覆盖范围内效果效果。表面波,上层的另一个贡献者被发现负责YSCWM覆盖的收缩。波效应的处理是一种预后方程中的额外湍流生产术语显示出更优于直接增加差异使用的策略r沿海地区。

著录项

  • 来源
    《海洋湖沼学报(英文)》 |2021年第001期|P.64-78|共15页
  • 作者单位

    College of Oceanic and Atmospheric Sciences Ocean University of China Qingdao 266100 ChinaPhysical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and Technology Qingdao 266100 China;

    College of Oceanic and Atmospheric Sciences Ocean University of China Qingdao 266100 ChinaPhysical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and Technology Qingdao 266100 China;

    College of Oceanic and Atmospheric Sciences Ocean University of China Qingdao 266100 ChinaPhysical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and Technology Qingdao 266100 China;

    The First Institute of Oceanography Ministry of Natural Resources Qingdao 266061 ChinaLaboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology Qingdao 266000 China;

    Physical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and Technology Qingdao 266100 China;

    China National Environmental Monitoring Centre Beijing 100012 China;

    Operational Oceanography Institution Dalian Ocean University Dalian 116023 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 海洋基础科学;
  • 关键词

    Yellow Sea Cold Water Mass(YSCWM); vertical mixing parameterizations; thermocline; background diff usivity; surface wave induced mixing;

    机译:黄海冷水质量(YSCWM);垂直混合参数化;热控;背景差异使用;表面波诱导混合;
  • 入库时间 2022-08-19 04:54:24
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