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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35 citations as recorded by crossref.
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- Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
- Seasonal variation in remotely-sensed phytoplankton size structure around southern Africa T. Lamont et al. 10.1016/j.rse.2017.09.038
- Modelling the mediterranean pelagic ecosystem using the POSEIDON ecological model. Part II: Biological dynamics S. Kalaroni et al. 10.1016/j.dsr2.2019.104711
- Satellite estimation of the spectral power exponent of particulate backscattering coefficient in the global ocean Y. Zhang et al. 10.1364/OE.545222
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- Particulate methanesulfonic acid over the central Mediterranean Sea: Source region identification and relationship with phytoplankton activity K. Mansour et al. 10.1016/j.atmosres.2019.104837
- Long-term warming and human-induced plankton shifts at a coastal Eastern Mediterranean site K. Kalloniati et al. 10.1038/s41598-023-48254-7
- An Artificial Neural Network to Infer the Mediterranean 3D Chlorophyll-a and Temperature Fields from Remote Sensing Observations M. Sammartino et al. 10.3390/rs12244123
- Radiative Transfer Modeling With Biogeochemical‐Argo Float Data in the Mediterranean Sea E. Terzić et al. 10.1029/2021JC017690
- Reproduction of Spatio-Temporal Patterns of Major Mediterranean Phytoplankton Groups from Remote Sensing OC-CCI Data G. Navarro et al. 10.3389/fmars.2017.00246
- 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
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- Abundant Cyanobacteria in Autumn Adhering to the Heating, Ventilation, and Air-Conditioning (HVAC) in Shanghai C. Nie et al. 10.3390/microorganisms11071835
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- Long-term study of seasonal changes in phytoplankton community structure in the western Mediterranean (Valencian Community) M. Paches et al. 10.1007/s11356-019-04660-x
- Remotely sensing phytoplankton size structure in the Red Sea J. Gittings et al. 10.1016/j.rse.2019.111387
- Mediterranean Marine Mammals: Possible Future Trends and Threats Due to Mercury Contamination and Interaction with Other Environmental Stressors R. Bargagli & E. Rota 10.3390/ani14162386
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- Phenology of Phytoplankton Size Classes in the Arabian Sea R. Shunmugapandi et al. 10.1109/LGRS.2021.3132660
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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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- Modeling carbon export mediated by biofouled microplastics in the Mediterranean Sea F. Guerrini et al. 10.1002/lno.12330
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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...
