IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Print this page

Analysis of high frequency temperature time series in the Seine estuary from the Marel autonomous monitoring buoy
Dur, G.; Schmitt, F.G.; Souissi, S. (2007). Analysis of high frequency temperature time series in the Seine estuary from the Marel autonomous monitoring buoy. Hydrobiologia 588(1): 59-68. https://dx.doi.org/10.1007/s10750-007-0652-3
In: Hydrobiologia. Springer: The Hague. ISSN 0018-8158; e-ISSN 1573-5117, more
Also appears in:
Lafite, R.; Garnier, J.; De Jonge, V.N. (Ed.) (2007). Consequences of estuarine management on hydrodynamics and ecological functioning: ECSA 38th Symposium - Rouen 2004 Co-organisation Seine-Aval Programme and ECSA. Hydrobiologia, 588. Springer: The Netherlands. 302 pp., more
Peer reviewed article  

Available in  Authors 

Keywords
    Buoys
    Data
    Missing data
    Monitoring
    Scaling
    Temperature differences
    Water bodies > Coastal waters > Coastal landforms > Coastal inlets > Estuaries
    Marine/Coastal
Author keywords
    monitoring buoy; temperature fluctuations; estuary data; high-frequencysampling; scaling; missing data

Authors  Top 
  • Dur, G.
  • Schmitt, F.G.
  • Souissi, S., more

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 (f) = f 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.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors