An Improved Second-Moment Closure Model for Langmuir Turbulence Conditions: Model Derivation and Validation

doi:10.1029/2018JC013878

CORC > 海洋研究所 > 中国科学院海洋研究所

	An Improved Second-Moment Closure Model for Langmuir Turbulence Conditions: Model Derivation and Validation
	Yu, W.1,2; Song, J. B.3; Cao, A. Z.3; Yin, B. S.1,2,4; Guan, S. D.1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
	2018-12-01
卷号	123 期号:12 页码:9010-9037
关键词	second-moment closure model Langmuir turbulence pressure covariance parameterization buoyancy effect turbulent mixing
ISSN号	2169-9275
DOI	10.1029/2018JC013878
英文摘要	In this study, an improved second-moment closure model, the so-called k-omega model, which takes into consideration the Langmuir turbulent effect in the transport equations of turbulent kinetic energy and turbulent frequency, was developed. The Langmuir turbulent effect was also included in the vertical eddy viscosity and diffusivity coefficient. Langmuir turbulence production, as well as buoyancy production, anisotropic production, and vorticity production induced by velocity shear, was included in the pressure covariance parameterization to derive the stability function. The Langmuir effect and relatively complete pressure covariance parameterization inclusion can account for the influences of Langmuir turbulence and stratification in the vertical eddy viscosity and vertical eddy diffusion coefficients. Based on the modified model, one-dimensional numerical experiments for horizontally homogeneous flows were carried out. The results indicate that the modified model is more accurate than other models in terms of the vertical eddy viscosity, vertical turbulence velocity variance, kinetic energy, and mean velocity profile compared with the large eddy simulation results. The simulated sea surface temperature (SST) and mixed layer depth of the modified model were compared with observations at Ocean Station Papa. When considering Langmuir turbulent effects, the modified model overcomes the shortcoming that the simulated SST is higher than the observed SST. Numerical results indicate that the k-omega model performs better than the k-kl model, although both models consider the Langmuir turbulent effect in the simulation of upper mixing motions. Plain Language Summary In this work, we obtain a modified k- model which include the Langmuir turbulent effect in the turbulent kinetic energy equation and turbulent frequency transport equation. The modified mixing model by proposed new stability function for the vertical eddy viscosity and diffusivity. The Langmuir turbulence effect and a relatively complete pressure strain covariance parameterization both be taken account to derive new stability functions. And the new model can give reasonable results in the condition mentioned in this article.
资助项目	National Natural Science Foundation of China[41576013] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA11010104] ; National Key Research and Development Program of China[2017YFA0604102] ; National Key Research and Development Program of China[2016YFC1401404] ; National Natural Science Foundation of China[41506023]
WOS研究方向	Oceanography
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000456405900021
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.qdio.ac.cn/handle/337002/160712]
专题	中国科学院海洋研究所
通讯作者	Song, J. B.
作者单位	1.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Yu, W.,Song, J. B.,Cao, A. Z.,et al. An Improved Second-Moment Closure Model for Langmuir Turbulence Conditions: Model Derivation and Validation[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2018,123(12):9010-9037.
APA	Yu, W.,Song, J. B.,Cao, A. Z.,Yin, B. S.,&Guan, S. D..(2018).An Improved Second-Moment Closure Model for Langmuir Turbulence Conditions: Model Derivation and Validation.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,123(12),9010-9037.
MLA	Yu, W.,et al."An Improved Second-Moment Closure Model for Langmuir Turbulence Conditions: Model Derivation and Validation".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 123.12(2018):9010-9037.