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

Congcong BI; Zhigang YAO; Xianwen BAO; Cong ZHANG; Yang DING; Xihui LIU; Junru GUO

doi:10.1007/s00343-019-9262-y

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

Physics | Updated：2023-05-20

- The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass
- Journal of Oceanology and Limnology Vol. 39, Issue 1, Pages: 64-78(2021)
- Affiliations：
  
  1.College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
  2.Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
  3.The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  4.Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China
  5.China National Environmental Monitoring Centre, Beijing 100012, China
  6.Operational Oceanography Institution, Dalian Ocean University, Dalian 116023, China
- Author bio：
  
  Zhigang YAO, E-mail:yaozhigang@ouc.edu.cn
- Funds：
- DOI：10.1007/s00343-019-9262-y
  CLC：
- Received：10 October 2019，
  
  Accepted：12 November 2019，
  
  Online First：03 December 2019，
  
  Published：2021-01
- Accepted：
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Congcong BI, Zhigang YAO, Xianwen BAO, et al. The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass[J]. Journal of Oceanology and Limnology, 2021, 39(1): 64-78.
DOI：

Congcong BI, Zhigang YAO, Xianwen BAO, et al. The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass[J]. Journal of Oceanology and Limnology, 2021, 39(1): 64-78. DOI： 10.1007/s00343-019-9262-y.

摘要

Abstract

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.

关键词

Keywords

references

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