investigated the chl-a inter-annual variability over well-identified bio-regions highlighting the episodic occurrence of new trophic regimes, especially in the north-western Mediterranean Sea (NWM).
Based on a merged (SeaWiFS and Moderate Resolution Imaging Spectrometer (MODIS)) dataset (1998–2014), Mayot et al. analysed the chl-a inter-annual variability in the Mediterranean Sea by using multi-annual (1998–2003) Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data, thus detecting chl-a anomalies in some specific areas such as the Gulf of Lion and the Rhodes gyre. Results show positive chl-a anomalies between the BOUSSOLE site and the Center of Convection Zone (CCZ) as a possible consequence of an intense convection episode that occurred in February 2012.Īlthough the chl-a seasonality is well documented at these scales of analysis, the assessment of its inter-annual variability deserves to be better investigated. Thus, it has been used to characterize an anomalous chl-a bloom that occurred in March 2012 at regional scale. The OC-CCI derived chl-a anomaly index shows the best performances when compared to in situ data (R 2 and RMSE of 0.75 and 0.48, respectively). Further application of the RST approach on a corresponding time-series of in situ chl-a measurements acquired at the BOUSSOLE site allows evaluation ofthe accuracy of the satellite-based change detection indices and selecting the best indicator.
The main goal of this study is to assess the potential of the robust satellite techniques (RST) in identifying anomalous phytoplankton blooms in the NWM by using 9 years (2008–2017) of multi-sensor chlorophyll-a (chl-a) products from the CMEMS and OC-CCI datasets. Investigating the variability of phytoplankton phenology plays a key role in regions characterized by cyclonic circulation regimes or convective events, like the north-western Mediterranean Sea (NWM).
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