Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST)
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Oui |
| Statut de publication | : | Publié |
| Année de publication | : | 2021 |
| Auteurs (7) | : | CIANCIA Emanuele LACAVA Teodosio PERGOLA Nicola VELLUCCI Vincenzo ANTOINE David SATRIANO Valeria TRAMUTOLI Valerio |
| Revue scientifique | : | Remote Sensing |
| Volume | : | 13 |
| Fascicule | : | 24 |
| Pages | : | |
| DOI | : | 10.3390/rs13245151 |
| URL | : | - |
| Abstract | : | 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 (R-2 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. |
| Mots-clés | : | BIOOPTICAL ALGORITHMS; COLOR; CONVECTION; DYNAMICS; INTERANNUAL VARIABILITY; long-term analysis; multi-sensor ocean colour data; North-Western Mediterranean Sea; PATTERNS; PHENOLOGY; phytoplankton phenology; TEMPORAL VARIABILITY; TIME-SERIES; TROPHIC REGIMES |
| Commentaire | : | Times Cited in Web of Science Core Collection: 0 |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Ciancia E, Lacava T, Pergola N, Vellucci V, Antoine D, Satriano V, Tramutoli V (2021) Quantifying the Variability of Phytoplankton Blooms in the NW Mediterranean Sea with the Robust Satellite Techniques (RST). Remote Sens 13 | doi: 10.3390/rs13245151
|