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Spatial and temporal distribution patterns of Cladocera in the Argentine Sea
Authors:María Delia Viñas  Fernando C Ramírez  Betina A Santos  Marina Marrari
Institution:(1) FRE CNRS ELICO 2816, Station Marine de Wimereux, Université des Sciences et Technologies de Lille, Lille 1, 28 avenue Foch, 62930 Wimereux, France
Abstract:In the marine sciences, continuous monitoring systems have been regarded as very useful tools to provide continuous high frequency measurements of many parameters. We analyse here a high frequency time series of temperature measurements recorded every 10 min between 1997 and 2004 in the macro tidal Seine estuary (France) by a Marel buoy, an automatic monitoring network for littoral environment. We have adapted multi-scale data analysis methods to deal with the many missing values present in the time series. A power spectral density analysis is performed over time scales spanning 5 decades, from 20 min to more than 7 years. A scale invariant behaviour of the form 
$${E\left(f \right)\approx f^{-\beta}}$$
with β = 2.2 is revealed for scales below 5 h. Over this scaling range, we have performed structure functions analysis, and shown that the Seine river temperature data exhibit turbulent-like intermittent properties, with multifractal statistics. The multifractal exponents obtained possess some similarities with passive scalar turbulence results. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.
Keywords:Monitoring buoy  Temperature fluctuations  Estuary data  High-frequency sampling  Scaling  Missing data
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