Articles | Volume 11, issue 5
https://doi.org/10.5194/os-11-759-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-759-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Sep 2015
Research article |
| 25 Sep 2015
Spatio-temporal variability of micro-, nano- and pico-phytoplankton in the Mediterranean Sea from satellite ocean colour data of SeaWiFS
M. Sammartino
CORRESPONDING AUTHOR
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
A. Di Cicco
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
S. Marullo
ENEA, Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile, Centro Ricerche Frascati, Frascati, Italy
R. Santoleri
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
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- Discerning dominant temporal patterns of bio-optical properties in the northwestern Mediterranean Sea (BOUSSOLE site) M. Bellacicco et al. 10.1016/j.dsr.2019.04.006
- Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps R. El Hourany et al. 10.1029/2019JC015131
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- Remotely sensing phytoplankton size structure in the Red Sea J. Gittings et al. 10.1016/j.rse.2019.111387
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- Monitoring of sea surface temperature, chlorophyll, and turbidity in Tunisian waters from 2005 to 2020 using MODIS imagery and the Google Earth Engine R. Katlane et al. 10.1016/j.rsma.2023.103143
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- Seasonal distributions of ocean particulate optical properties from spaceborne lidar measurements in Mediterranean and Black sea D. Dionisi et al. 10.1016/j.rse.2020.111889
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Short summary
We describe the seasonal and year-to-year variability of the spatial distribution of the phytoplankton size classes (PSCs) in the Mediterranean Sea using the time series of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) observations (1998 to 2010). We used a chlorophyll-a-based model to estimate the phytoplankton composition. Our results, based on ocean colour data, confirm the seasonal and inter-annual pattern of the phytoplankton community observed from in situ data and in previous studies.
We describe the seasonal and year-to-year variability of the spatial distribution of the...
