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Titel Spatial and seasonal distributions of frontal activity over the French continental shelf in the Bay of Biscay observed from satellite sea surface temperature
VerfasserIn Ozge Yelekci, Guillaume Charrira, Xavier Capet, Joel Sudre, Hussein Yahia
Konferenz EGU General Assembly 2015
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 17 (2015)
Datensatznummer 250110497
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2015-10498.pdf
 
Zusammenfassung
Spatial and seasonal distributions, and development mechanisms of Sea Surface Temperature (SST) fronts (∼ 1-100 km) in vicinity of main French rivers, Gironde and Loire, over the continental shelf north of 45°N in the Bay of Biscay are explored. A dataset of 11 years’ (2003 to 2013) remotely sensed SST by MODIS sensor onboard Aqua and Terra satellites has been investigated. This dataset has ∼1km spatial and daily temporal resolutions. Front detection is achieved through the Singularity Analysis (i.e. the process of calculating the degree of regularity or irregularity of a function at each point in a domain). The spatial distribution of front occurrence frequency is investigated seasonally. Seasonality of frontal activity in the Bay of Biscay is shown for the first time from the long-term satellite SST archive. The localized hot spots of higher frontal occurrences reveal important characteristics of the fine-scale dynamics including its possible drivers. We find that in winter, density fronts are prominent in a coastal strip where freshwater influence is important; in spring, this freshwater influence domain contrasts and reduces to estuaries while tidal fronts become apparent; in summer, tidal fronts in Ushant region and internal wave activity along shelf break dominates; in autumn, coastal density fronts due to freshwater inputs reappear as these inputs increase, and reduced stratification causes a weakening of the Ushant and shelf break fronts. Additional information and interpretations on the dynamics of these fronts is obtained from in situ observations and model outputs from operational oceanography.