Intermittent particle dynamics in marine coastal waters

Marine coastal processes are highly variable over different space scales and timescales. In this paper we analyse the intermittency properties of particle size distribution (PSD) recorded every second using a LISST instrument (Laser In-Situ Scattering and Transmissometry). The particle concentration...

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Main Authors: P. R. Renosh, F. G. Schmitt, H. Loisel
Format: Article
Language:English
Published: Copernicus Publications 2015-10-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/22/633/2015/npg-22-633-2015.pdf
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spelling doaj-96f2641875514519918b805bc9ed65902020-11-24T22:17:05ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462015-10-0122563364310.5194/npg-22-633-2015Intermittent particle dynamics in marine coastal watersP. R. Renosh0F. G. Schmitt1H. Loisel2University of Lille, UMR 8187, Laboratory of Oceanology and Geosciences, 28 Avenue Foch, 62930 Wimereux, FranceCNRS, UMR 8187, Laboratory of Oceanology and Geosciences, 28 Avenue Foch, 62930 Wimereux, FranceULCO, UMR 8187, Laboratory of Oceanology and Geosciences, 32 Avenue Foch, 62930 Wimereux, FranceMarine coastal processes are highly variable over different space scales and timescales. In this paper we analyse the intermittency properties of particle size distribution (PSD) recorded every second using a LISST instrument (Laser In-Situ Scattering and Transmissometry). The particle concentrations have been recorded over 32 size classes from 2.5 to 500 μm, at 1 Hz resolution. Such information is used to estimate at each time step the hyperbolic slope of the particle size distribution, and to consider its dynamics. Shannon entropy, as an indicator of the randomness, is estimated at each time step and its dynamics is analysed. Furthermore, particles are separated into four classes according to their size, and the intermittent properties of these classes are considered. The empirical mode decomposition (EMD) is used, associated with arbitrary-order Hilbert spectral analysis (AHSA), in order to retrieve scaling multifractal moment functions, for scales from 10 s to 8 min. The intermittent properties of two other indicators of particle concentration are also considered in the same range of scales: the total volume concentration <i>C</i><sub>vol-total</sub> and the particulate beam attenuation coefficient <i>c</i><sub>p</sub>(670). Both show quite similar intermittent dynamics and are characterised by the same exponents. Globally we find here negative Hurst exponents (meaning the small scales show larger fluctuation than large scales) for each time series considered, and nonlinear moment functions.http://www.nonlin-processes-geophys.net/22/633/2015/npg-22-633-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author P. R. Renosh
F. G. Schmitt
H. Loisel
spellingShingle P. R. Renosh
F. G. Schmitt
H. Loisel
Intermittent particle dynamics in marine coastal waters
Nonlinear Processes in Geophysics
author_facet P. R. Renosh
F. G. Schmitt
H. Loisel
author_sort P. R. Renosh
title Intermittent particle dynamics in marine coastal waters
title_short Intermittent particle dynamics in marine coastal waters
title_full Intermittent particle dynamics in marine coastal waters
title_fullStr Intermittent particle dynamics in marine coastal waters
title_full_unstemmed Intermittent particle dynamics in marine coastal waters
title_sort intermittent particle dynamics in marine coastal waters
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2015-10-01
description Marine coastal processes are highly variable over different space scales and timescales. In this paper we analyse the intermittency properties of particle size distribution (PSD) recorded every second using a LISST instrument (Laser In-Situ Scattering and Transmissometry). The particle concentrations have been recorded over 32 size classes from 2.5 to 500 μm, at 1 Hz resolution. Such information is used to estimate at each time step the hyperbolic slope of the particle size distribution, and to consider its dynamics. Shannon entropy, as an indicator of the randomness, is estimated at each time step and its dynamics is analysed. Furthermore, particles are separated into four classes according to their size, and the intermittent properties of these classes are considered. The empirical mode decomposition (EMD) is used, associated with arbitrary-order Hilbert spectral analysis (AHSA), in order to retrieve scaling multifractal moment functions, for scales from 10 s to 8 min. The intermittent properties of two other indicators of particle concentration are also considered in the same range of scales: the total volume concentration <i>C</i><sub>vol-total</sub> and the particulate beam attenuation coefficient <i>c</i><sub>p</sub>(670). Both show quite similar intermittent dynamics and are characterised by the same exponents. Globally we find here negative Hurst exponents (meaning the small scales show larger fluctuation than large scales) for each time series considered, and nonlinear moment functions.
url http://www.nonlin-processes-geophys.net/22/633/2015/npg-22-633-2015.pdf
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