Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model

doi:10.3390/jmse10081165

IOCAS-IR > 海洋环流与波动重点实验室

	Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model
	Wu, Xinping 1; Xu, Minjie 2; Gao, Guandong 3,4,5,6; Yin, Baoshu 3,4,5,6; Lv, Xianqing 1
	2022-08-01
发表期刊	JOURNAL OF MARINE SCIENCE AND ENGINEERING
卷号	10 期号:8 页码:16
通讯作者	Gao, Guandong(guandonggao@qdio.ac.cn)
摘要	In this study, a triangular polynomial interpolation (TPI) scheme was developed to estimate the vertical eddy viscosity coefficient (VEVC) on the basis of the Ekman model with adjoint assimilation. In the twin experiments, the advantages and disadvantages of estimating the VEVC using the TPI scheme under different factors are discussed. The results indicated that (1) the TPI scheme proves to be better than the cubic spline interpolation (CSI) and Cressman interpolation (CI) schemes; (2) the inversion results are more sensitive to observations from upper ocean layers than those from lower layers, and the TPI scheme is less likely to be influenced by missing data; (3) for various boundary layer depths, the inversion results of the TPI scheme remain consistent with the given distributions; (4) the inversion results can be influenced considerably by observational errors, and the TPI scheme is more resistant to noise than the CSI and CI schemes; and (5) the inversion accuracy of the TPI scheme can be improved by selecting the temporal wind stress drag coefficients. In practical experiments, the adjoint method with the TPI scheme was developed to estimate the Ekman currents by assimilating the observations from a buoy stationed in the Yellow Sea. The results showed the successful estimation of the VEVC and demonstrated that more precise current velocities can be obtained with this estimation scheme. In summary, this study provides a useful approach for the effective estimation of the VEVC.
关键词	vertical eddy viscosity coefficient Ekman model adjoint assimilation triangular polynomial interpolation
DOI	10.3390/jmse10081165
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation (NSFC)[42006004] ; Shandong Provincial Natural Science Foundation (NSFSD)[ZR2019BD016] ; Open Fund Project of the Key Laboratory of Marine Environmental Information Technology, Ministry of Natural Resources of the People's Republic of China
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Ocean ; Oceanography
WOS记录号	WOS:000845538000001
出版者	MDPI
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/180877
专题	海洋环流与波动重点实验室海洋生态与环境科学重点实验室
通讯作者	Gao, Guandong
作者单位	1.Ocean Univ China, Phys Oceanog Lab, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266237, Peoples R China 2.Yantai Univ, Ocean Sch, Yantai 264005, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 4.Pilot Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100029, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, CAS Engn Lab Marine Ranching, Qingdao 266071, Peoples R China
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Wu, Xinping,Xu, Minjie,Gao, Guandong,et al. Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022,10(8):16.
APA	Wu, Xinping,Xu, Minjie,Gao, Guandong,Yin, Baoshu,&Lv, Xianqing.(2022).Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10(8),16.
MLA	Wu, Xinping,et al."Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10.8(2022):16.