The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass
The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass
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数值模拟对垂直混合参数化方案的敏感性：以黄海冷水团为例
DOI：
10.1007/s00343-019-9262-y
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发表时间：
2020-03
影响因子：
1.6
通讯作者：
Guo Junru
中科院分区：
文献类型：
--
作者：
Bi Congcong;Yao Zhigang;Bao Xianwen;Zhang Cong;Ding Yang;Liu Xihui;Guo Junru
垂直混合参数化方案，通过提供一些明确错过的物理过程的影响，更重要的是关闭的能量预算，是一个关键的模式组成部分，因此对模式的性能产生重大影响。黄海冷水团是黄海夏季最显著、最独特的现象，其各阶段都受到垂直混合过程的显著影响，对参数化方案的选择极为敏感。本文利用区域海洋模拟系统（ROMS）对2006年冬季长江中下游进行了后报。通过一系列敏感性模式试验，对Mellor-Yamada 2.5、GLS和KPP三种常用的参数化方案进行了检验和比较。不同的参数化方案对模拟YSCWM的影响，然后仔细检查和评估这些模型实验的基础上。虽然各方案均较好地再现了合理的热力结构及其季节变化，但各方案间仍存在较大差异。M-Y 2.5实验中出现了更温暖、空间更小的YSCWM模拟，具有非常强的温跃层，而GLS和KPP方案中发现了空间更大的YSCWM，具有浅混合层。在所有的实验中，以中心温度表示的差异从春季开始出现，到11月底逐渐扩大。另外的实验还证实，背景扩散系数的增加可以有效地削弱YSCWM，无论是在强度或覆盖范围。另一个贡献者在上层表面波，被发现负责YSCWM覆盖的收缩。结果表明，在预报方程中将波浪效应作为附加的湍流产生项处理，比直接增加扩散系数的方法更具有上级优势。
The vertical mixing parameterization scheme, by providing the effects of some explicitly missed physical processes and more importantly closing the energy budgets, is a critical model component and therefore imposes significant 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 affected 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-Profile Parameterization (KPP), were tested and compared with each other by conducting a series of sensitivity model experiments. The influence of different 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 differences 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 confirmed that the increase of background diffusivity could effectively 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 effect as an additional turbulence production term in prognostic equation was shown to be more superior to the strategy of directly increasing diffusivity for a coastal region.
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影响因子：
2.3
作者：
Xiaojie Yu;Xinyu Guo
通讯作者：
Xiaojie Yu;Xinyu Guo
影响因子：
--
作者：
H. Wijesekera;J. Allen;P. Newberger
通讯作者：
H. Wijesekera;J. Allen;P. Newberger
影响因子：
3.1
作者：
K. Trenberth;Shyh-C. Chen
通讯作者：
K. Trenberth;Shyh-C. Chen
影响因子：
3.2
作者：
Shchepetkin, AF;McWilliams, JC
通讯作者：
McWilliams, JC
影响因子：
1.4
作者：
Y. Fei;Zhang Zhi-xin;Gou Jing-song;Tang Yuxiang
通讯作者：
Y. Fei;Zhang Zhi-xin;Gou Jing-song;Tang Yuxiang