Experimental investigation of nonlinear internal waves in deep water with miscible fluids

Camassa, Roberto; Hurley, Matthew W.; McLaughlin, Richard M.; Passaggia, Pierre-Yves; Thomson, Claire

doi:10.1007/s40722-018-0119-9

Cited by 8 publications

(2 citation statements)

References 63 publications

(89 reference statements)

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“…Meunier & Leweke also showed that a second error source is linked to the image pattern deformation, which decreases the height of the correlation peaks. In order to reduce this effect, the windows in DPIVSoft [27,30,3,29,41] are deformed according to the velocity gradients in an iterative process. The problem of finding a sufficiently reliable starting point for the iteration is solved by applying a Gaussian filter to the images for the first correlation.…”

Section: Cross-correlation Based Pivmentioning

confidence: 99%

On the optimal window size in optical flow and cross-correlation in particle image velocimetry: application to turbulent flows

et al. 2022

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Two Particle Image Velocimetry (PIV) softwares applied to turbulent flows are compared. One is based on a standard Cross-Correlation (CC) algorithm and the other is based on an iterative multi-pyramid Optical Flow (OF) algorithm. First, still particle images are used to evaluate the cut-off frequency induced by each method. Then a step response analysis highlights the capabilities of each method to minimise the effect of unresolved velocity gradients. Two different benchmarks with various turbulent length-scales, down to the Taylor micro-scale, are then used to analyse the velocity spectra and the turbulent kinetic energy dissipation estimation. First, a synthetic PIV dataset of homogeneous isotropic turbulence is processed and compared with Direct Numerical Simulation (DNS) results. Then a grid turbulence wind tunnel experimental dataset is used to calculate velocity spectra and second-order structure functions, which are compared to Laser Doppler Velocimetry spectra.All these results point to the fact that, although OF is more diffusive and up to 5% less accurate than cross correlation, the numerical diffusion improves the calculation of sub-window unresolved gradients and allows for direct and more robust measurement of the onset of the viscous subrange in experimental turbulent flows.

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Section: Cross-correlation Based Pivmentioning

confidence: 99%

On the optimal window size in optical flow and cross-correlation in particle image velocimetry: application to turbulent flows

et al. 2022

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“…The Miyata–Choi–Camassa (MCC) equation, a fully nonlinear equation of long waves was proposed and agreed well with laboratory experiments (Camassa et al., 2006; Kodaira et al., 2016). Meanwhile, without any assumptions about wavelength and amplitude, the fully nonlinear Dubriel–Jacotin–Long (DJL) equation has been applied effectively in the laboratory and the ocean (Camassa et al., 2018; Lien et al., 2014; Luzzatto‐Fegiz & Helfrich, 2014). To date, strongly nonlinear effects on the retrievals of wave parameters have not been fully considered in the following two aspects: (a) the calculation of wave‐induced velocities and (b) the applicability of ISW solutions.…”

Section: Introductionmentioning

confidence: 99%

Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications

Xu,

Chen,

et al. 2023

Geophysical Research Letters

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The inversion of remote sensing signatures of internal solitary waves (ISWs) can retrieve dynamic characteristics in the ocean interior. However, the presence of ubiquitous large‐amplitude ISWs poses challenges to the commonly used weakly nonlinear methods for parameter retrieval. Through laboratory experiments, we establish a relationship between surface features and internal characteristics of ISWs by the remote sensing imaging mechanism. The results demonstrate that strong nonlinearity significantly influences the retrieval of ISWs, primarily manifested in the calculation of wave‐induced velocities and the applicability of ISW solutions. A fully nonlinear model Dubreil–Jacotin–Long equation is used in the retrieval and has been tested under different conditions. Mooring observations indicate that the determination of ISW parameters from satellite images is affected by the complexity of in situ stratification, but additional remote sensing information such as surface velocities enables us to perform retrievals even if the real‐time measurement of pycnocline depth is not available.

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Generation of internal waves in a two-layered stratified system with a free surface by coupled mass sources

2022

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Experimental investigation of nonlinear internal waves in deep water with miscible fluids

Cited by 8 publications

References 63 publications

On the optimal window size in optical flow and cross-correlation in particle image velocimetry: application to turbulent flows

On the optimal window size in optical flow and cross-correlation in particle image velocimetry: application to turbulent flows

Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications

Generation of internal waves in a two-layered stratified system with a free surface by coupled mass sources

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