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学科主题: Oceanography
题名: On the Estimation of Lagrangian Diffusivity: Influence of Nonstationary Mean Flow
作者: Qian, YK ; Peng, SQ ; Liang, CX ; Lumpkin, R
通讯作者: speng@scsio.ac.cn
刊名: JOURNAL OF PHYSICAL OCEANOGRAPHY
发表日期: 2014
卷: 44, 期:10, 页:2796-2811
收录类别: sci
部门归属: [Qian, Yu-Kun ; Peng, Shiqiu] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China ; [Liang, Chang-Xia] State Ocean Adm, South China Sea Marine Predict Ctr, Guangzhou, Guangdong, Peoples R China ; [Lumpkin, Rick] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA
项目归属: LTO
资助者: Strategic Priority Research Program of the Chinese Academy of Sciences [XDA11010304]; MOST of China [2011CB403505, 2010CB950302]; Knowledge Innovation Program of the Chinese Academy of Sciences [SQ201305]; National Natural Science Foundation of China [41376021, 41306013]; Hundred Talent Program of the Chinese Academy of Sciences; NOAA's Climate Program Office; Atlantic Oceanographic and Meteorological Laboratory
摘要: Eddy mean flow decomposition is crucial to the estimation of Lagrangian diffusivity based on drifter data. Previous studies have shown that inhomogeneous mean flow induces shear dispersion that increases the estimated diffusivity with time. In the present study, the influences of nonstationary mean flows on the estimation of Lagrangian diffusivity, especially the asymptotic behavior, are investigated using a first-order stochastic model, with both idealized and satellite-based oceanic mean flows. Results from both experiments show that, in addition to inhomogeneity, nonstationarity of mean flows that contain slowly varying signals, such as a seasonal cycle, also cause large biases in the estimates of diffusivity within a time lag of 2 months if a traditional binning method is used. Therefore, when assessing Lagrangian diffusivity over regions where a seasonal cycle is significant [e.g., the Indian Ocean (IO) dominated by monsoon winds], inhomogeneity and nonstationarity of the mean flow should be simultaneously taken into account in eddy mean flow decomposition. A temporally and spatially continuous fit through the Gauss Markov (GM) estimator turns out to be very efficient in isolating the effects of inhomogeneity and nonstationarity of the mean flow, resulting in estimates that are closest to the true diffusivity, especially in regions where strong seasonal cycles exist such as the eastern coast of Somalia and the equatorial IO.
原文出处: 查看原文
WOS记录号: WOS:000342861100012
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10503
Appears in Collections:热带海洋环境国家重点实验室(LTO)_期刊论文

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Qian, YK; Peng, SQ; Liang, CX; Lumpkin, R.On the Estimation of Lagrangian Diffusivity: Influence of Nonstationary Mean Flow,JOURNAL OF PHYSICAL OCEANOGRAPHY,2014,44(10):2796-2811
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