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

作　　者：Congcong BI Zhigang YAO Xianwen BAO Cong ZHANG Yang DING Xihui LIU Junru GUO 

机构地区：[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

出　　处：《Journal of Oceanology and Limnology》2021年第1期64-78,共15页海洋湖沼学报（英文）

基　　金：Supported by the National Natural Science Foundation of China(Nos.41606005,41430963,41676004);the National Program on Global Change and Air-Sea Interaction(No.GASI-GEOGE-03);the Liaoning Revitalization Talents Program(No.XLYC1807161);the Dalian Highlevel Talents Innovation Support Plan(No.2017RQ063)。

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.

关 键 词：Yellow Sea Cold Water Mass(YSCWM) vertical mixing parameterizations THERMOCLINE background diff usivity surface wave induced mixing 

分 类 号：P73[天文地球—海洋科学]