FN Archimer Export Format
PT J
TI Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)
BT 
AF Ciancia, Emanuele
   Lacava, Teodosio
   Pergola, Nicola
   Vellucci, Vincenzo
   Antoine, David
   Satriano, Valeria
   Tramutoli, Valerio
AS 1:1,2;2:1;3:1;4:3;5:4,5;6:2;7:2;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 Institute of Methodologies for Environmental Analysis, Italian National Research Council, C.da Santa Loja, Tito Scalo, 85050 Potenza, Italy
   School of Engineering, University of Basilicata, Via dell’AteneoLucano 10, 85100 Potenza, Italy
   Institut de la Mer de Villefranche, CNRS, Sorbonne Université, LOV, F-06230 Villefranche-sur-Mer, France
   Remote Sensing and Satellite Research Group, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia
   Laboratoired’Océanographie de Villefranche, CNRS, Sorbonne Université, IMEV, F-06230 Villefranche-sur-Mer, France
C2 CNR, ITALY
   UNIV BASILICATA, ITALY
   UNIV SORBONNE, FRANCE
   UNIV CURTIN, AUSTRALIA
   UNIV SORBONNE, FRANCE
IF 5.349
TC 3
UR https://archimer.ifremer.fr/doc/00858/96947/105618.pdf
LA English
DT Article
CR BOUSSOLE
DE ;phytoplankton phenology;multi-sensor ocean colour data;long-term analysis;North-Western Mediterranean Sea
AB 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). 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. 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 OC-CCI derived chl-a anomaly index shows the best performances when compared to in situ data (R2 and RMSE of 0.75 and 0.48, respectively). Thus, it has been used to characterize an anomalous chl-a bloom that occurred in March 2012 at regional scale. 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. 
PY 2021
PD DEC
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 13
IS 24
UT 000737328500001
DI 10.3390/rs13245151
ID 96947
ER

EF