| one publication added to basket [115513] | 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, meer
Ook verschenen 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., meer
|  |
| Trefwoorden |
Buoys
Data
Missing data
Monitoring
Scaling
Temperature differences
Water bodies > Coastal waters > Coastal landforms > Coastal inlets > Estuaries
Marien/Kust |
| Author keywords |
monitoring buoy; temperature fluctuations; estuary data; high-frequencysampling; scaling; missing data |
| Auteurs | | Top |
- Dur, G.
- Schmitt, F.G.
- Souissi, S., meer
|
|
|
| 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-ß 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. |
|
