Investigating Rhône River plume (Gulf of Lions, France) dynamics using metrics analysis from the MERIS 300m Ocean Color archive (2002 − 2012)
|Author(s)||Gangloff Aurelien1, Verney Romaric1, Doxaran David2, Ody Anouck2, Estournel Claude3, 4|
|Affiliation(s)||1 : IFREMER, Lab DYNECO DHYSED, PB70, F-29280 Plouzane, France.
2 : UPMC, CNRS, Lab Oceanog Villefranche, Observ Oceanol,UMR 7093, 181 Chemin Lazaret, F-06230 Villefranche Sur Mer, France.
3 : CNRS, Lab Aerol, 14 Ave Edouard Belin, F-31400 Toulouse, France.
4 : Univ Paul Sabatier, 14 Ave Edouard Belin, F-31400 Toulouse, France.
|Source||Continental Shelf Research (0278-4343) (Pergamon-elsevier Science Ltd), 2017-07 , Vol. 144 , P. 98-111|
|WOS© Times Cited||18|
|Keyword(s)||River plume metrics, Sediment dynamics, MERIS, Ocean color data, Suspended particulate matter, Gulf of Lions|
In coastal environments, river plumes are major transport mechanisms for particulate matter, nutriments and pollutants. Ocean colour satellite imagery is a valuable tool to explore river turbid plume characteristics, providing observations at high temporal and spatial resolutions of suspended particulate matter (SPM) concentration over a long time period, covering a wide range of hydro-meteorological conditions. We propose here to use the MERIS-FR (300 m) Ocean Colour archive (2002–2012) in order to investigate Rhône River turbid plume patterns generated by the two main forcings acting on the north-eastern part of the Gulf of Lions (France): wind and river freshwater discharge. Results are exposed considering plume metrics (area of extension, south-east-westernmost points, shape, centroid, SPM concentrations) extracted from satellite data using an automated image-processing tool. Rhône River turbid plume SPM concentrations and area of extension are shown to be mainly driven by the river outflow while wind direction acts on its shape and orientation. This paper also presents the region of influence of the Rhône River turbid plume over monthly and annual periods, and highlights its interannual variability.