dc.contributor.author | Bakhoday Paskyabi, Mostafa | |
dc.date.accessioned | 2020-04-28T05:37:14Z | |
dc.date.available | 2020-04-28T05:37:14Z | |
dc.date.issued | 2019-12-17 | |
dc.Published | Bakhoday Paskyabi M. A wavelet-entropy based segmentation of turbulence measurements from a moored shear probe near the wavy sea surface. SN Applied Sciences. 2, 102 (2020) | eng |
dc.identifier.issn | 2523-3963 | en_US |
dc.identifier.issn | 2523-3971 | en_US |
dc.identifier.uri | https://hdl.handle.net/1956/22023 | |
dc.description.abstract | In this study, we explore the applicability of a wavelet-entropy based segmentation technique in reduction of motion-induced contaminations in time-domain from subsurface turbulence measurements made by a moving shear probe. After the quality screening of data, the Shannon entropy procedure is combined with a time-dependent adaptive wavelet thresholding method to split each 60-s long shear segment into a number of motion-reduced subblocks. The wavelet-entropy strategy leads to preventing the false detection effect caused by applying either wavelet de-noising or Shannon entropy alone for conditions where the turbulence (strongly) overlap with scales induced by waves or platform motions. The longest stationary subblock, with a size greater than 16-s, is then used to extract the Turbulent Kinetic Energy (TKE) dissipation rate, ε. Efficiency of the proposed method is verified by comparing with ε measurements made by a nearby free-falling microstructure profiler. While the quality of observations is constrained by a number of factors such as sensors’ angle of attack, and the wave kinematical and dynamical effects, results demonstrate significant improvements, by approximately a factor of 5–10, compared with ε measurements from each 60-s segment using the Goodman et al. [13] method. Furthermore, the magnitudes of the motion-corrected ε using the proposed method is largely consistent with the scaling suggested by Terray et al. [30]. | en_US |
dc.language.iso | eng | eng |
dc.publisher | Springer Nature | en_US |
dc.rights | Attribution CC BY | eng |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | eng |
dc.subject | Turbulence | eng |
dc.subject | Surface gravity waves | eng |
dc.subject | Wavelet | eng |
dc.subject | Shear probe | eng |
dc.subject | Dissipation rates of TKE | eng |
dc.subject | Entropy | eng |
dc.title | A wavelet-entropy based segmentation of turbulence measurements from a moored shear probe near the wavy sea surface | en_US |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.date.updated | 2020-02-11T10:57:24Z | |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2019 The Author(s) | en_US |
dc.identifier.doi | https://doi.org/10.1007/s42452-019-1751-2 | |
dc.identifier.cristin | 1779349 | |
dc.source.journal | SN Applied Sciences | |