DOI: 10.1002/2017JC013230
Scopus记录号: 2-s2.0-85046146451
论文题名: On Estimating Turbulent Reynolds Stress in Wavy Aquatic Environment
作者: Bian C. ; Liu Z. ; Huang Y. ; Zhao L. ; Jiang W.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 4 起始页码: 3060
结束页码: 3071
语种: 英语
英文关键词: Empirical Mode Decomposition
; Reynolds stress
; surface waves
; Synchrosqueezed Wavelet Transform
; wave-turbulence decomposition
Scopus关键词: aquatic environment
; decomposition analysis
; estimation method
; instrumentation
; numerical method
; Reynolds number
; surface wave
; turbulent flow
; uncertainty analysis
; uncertainty role
; wave velocity
; wavelet analysis
英文摘要: Several methods have been developed for the estimation of the turbulent Reynolds stress in wavy aquatic environment. They are based on different physical assumptions and often give discrepant results. It is practically difficult to quantify the uncertainties in these estimations. Using high-resolution velocity measurements of acoustic Doppler velocimeter (ADV) from a coastal benthic layer subject to moderate wave influence (the ratio of rms wave orbital velocity to current magnitude was 0.23–0.92), this study tests a Synchrosqueezed Wavelet Transform (SWT)-based method and three existing methods (i.e., the Coherence, Cospectra, and Ensemble Empirical Mode Decomposition [EEMD] methods) for wave-turbulence decomposition. In particular, we evaluate the performance of different methods for objective estimation of the turbulent Reynolds stress. Power spectra and cospectra analysis is conducted to quantify the uncertainties in the estimations. The results suggest that the Coherence method tends to overestimate the Reynolds stress due to incomplete removal of wave motions from the observed velocity records; the Cospectra method performs poorly because the empirical model does not fit the observed cospectra well; both the EEMD and SWT methods underestimate the Reynolds stress, as they tend to attribute turbulent fluctuations at frequencies in the vicinity of the wave frequencies to wave motions. In general, the SWT method performs best inducing lowest uncertainty in the Reynolds stress estimation. For the data set analyzed in this study, the estimations with the Coherence, Cospectra, EEMD, and SWT methods account for 70%, 50%, 51%, and 60% of the total covariance of horizontal and vertical velocities, respectively. © 2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114209
Appears in Collections: 气候减缓与适应
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作者单位: Physical Oceanography Laboratory/CIMST, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; State Key Laboratory of Marine Environmental Science, and Department of Physical Oceanography, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China; College of Marine Science and Engineering, Tianjin University of Science and Technology, Tianjin, China; Key Laboratory of Marine Environment and Ecology, Ocean University of China, Qingdao, China
Recommended Citation:
Bian C.,Liu Z.,Huang Y.,et al. On Estimating Turbulent Reynolds Stress in Wavy Aquatic Environment[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(4)