Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1959-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1959-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
09 May 2025
Data description article |
| 09 May 2025
| 09 May 2025
Satellite-derived global-ocean phytoplankton phenology indices
Sarah-Anne Nicholson
CORRESPONDING AUTHOR
Southern Ocean Carbon-Climate Observatory, CSIR, Cape Town, South Africa
Thomas J. Ryan-Keogh
Southern Ocean Carbon-Climate Observatory, CSIR, Cape Town, South Africa
Sandy J. Thomalla
Southern Ocean Carbon-Climate Observatory, CSIR, Cape Town, South Africa
Marine and Antarctic Research Centre for Innovation and Sustainability, University of Cape Town, Cape Town, South Africa
Nicolette Chang
Southern Ocean Carbon-Climate Observatory, CSIR, Cape Town, South Africa
Global Change Institute, University of the Witwatersrand, Johannesburg, South Africa
Marié E. Smith
Coastal Systems and Earth Observation Research Group, CSIR, Cape Town, South Africa
Department of Oceanography, University of Cape Town, Cape Town, South Africa
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Cited
15 citations as recorded by crossref.
- Satellite-Derived Chlorophyll-a Phenology and Recurrent High-Chl-a Exceedance Screening in Fujian Coastal Bays, China D. Li et al. https://doi.org/10.3390/w18151917
- Optimization of the World Ocean Model of Biogeochemistry and Trophic dynamics (WOMBAT) using surrogate machine learning methods P. Buchanan et al. https://doi.org/10.5194/bg-22-5349-2025
- Climatic forcing modulates non-stationary environmental synchrony in shellfish production regions C. Lara et al. https://doi.org/10.1016/j.ecss.2025.109605
- Alternative dynamic regimes of marine biogeochemical models in perturbed environments G. Occhipinti et al. https://doi.org/10.5194/bg-23-2003-2026
- Global retrieval of stokes vector of water-leaving radiance via Unet-based framework J. Liu et al. https://doi.org/10.1016/j.jag.2026.105445
- Spring Phytoplankton Bloom Phenology in the Bering Sea and Surrounding Waters Based on MODIS Data K. Kivva et al. https://doi.org/10.3390/oceans7020021
- Development of the satellite bio-optical algorithm for the shelf waters along the southern Kamchatka Peninsula: effect of optically active components variability on the spectral remote sensing reflectance E. Korchemkina et al. https://doi.org/10.1016/j.srs.2026.100365
- Spatiotemporal dynamics and driving mechanisms of phytoplankton bloom phenology in the Southern Yellow Sea Y. Zhang et al. https://doi.org/10.1016/j.jmarsys.2026.104212
- Advanced buoy phenological extraction methods for highly dynamic Zhejiang coastal waters M. Wang et al. https://doi.org/10.1016/j.ecolind.2026.115333
- Phenological Patterns and Driving Mechanisms of Autumn Phytoplankton Blooms in the Yellow Sea Cold Water Mass (2000–2022) M. Liu et al. https://doi.org/10.3390/jmse14030313
- A Global, Gap-Free daily Ocean-Colour dataset (2000–2024) for robust marine ecological monitoring Y. Zhang et al. https://doi.org/10.1016/j.jag.2026.105532
- Spatiotemporal Characteristics and Physical–Ecological Coupling Mechanisms of Spring Phytoplankton Blooms in the Bohai Sea X. Song et al. https://doi.org/10.3390/jmse14060540
- Satellite-Observed Acceleration in the Occurrence of Compound Marine Heatwave and Phytoplankton Bloom Events in the Global Coastal Ocean J. Ma & C. Wang https://doi.org/10.3390/rs18091322
- Under‐Ice Phytoplankton Bloom and Associated Particulate Organic Matter Composition Dynamics in Prydz Bay, Antarctica A. Singh et al. https://doi.org/10.1029/2026JG009706
- Assessing the spatio-temporal variability of phytoplankton in Sundarban coastal waters using Sentinel 3 OLCI imagery based on C2RCC and neural network models A. De et al. https://doi.org/10.1016/j.asr.2026.05.080
15 citations as recorded by crossref.
- Satellite-Derived Chlorophyll-a Phenology and Recurrent High-Chl-a Exceedance Screening in Fujian Coastal Bays, China D. Li et al. https://doi.org/10.3390/w18151917
- Optimization of the World Ocean Model of Biogeochemistry and Trophic dynamics (WOMBAT) using surrogate machine learning methods P. Buchanan et al. https://doi.org/10.5194/bg-22-5349-2025
- Climatic forcing modulates non-stationary environmental synchrony in shellfish production regions C. Lara et al. https://doi.org/10.1016/j.ecss.2025.109605
- Alternative dynamic regimes of marine biogeochemical models in perturbed environments G. Occhipinti et al. https://doi.org/10.5194/bg-23-2003-2026
- Global retrieval of stokes vector of water-leaving radiance via Unet-based framework J. Liu et al. https://doi.org/10.1016/j.jag.2026.105445
- Spring Phytoplankton Bloom Phenology in the Bering Sea and Surrounding Waters Based on MODIS Data K. Kivva et al. https://doi.org/10.3390/oceans7020021
- Development of the satellite bio-optical algorithm for the shelf waters along the southern Kamchatka Peninsula: effect of optically active components variability on the spectral remote sensing reflectance E. Korchemkina et al. https://doi.org/10.1016/j.srs.2026.100365
- Spatiotemporal dynamics and driving mechanisms of phytoplankton bloom phenology in the Southern Yellow Sea Y. Zhang et al. https://doi.org/10.1016/j.jmarsys.2026.104212
- Advanced buoy phenological extraction methods for highly dynamic Zhejiang coastal waters M. Wang et al. https://doi.org/10.1016/j.ecolind.2026.115333
- Phenological Patterns and Driving Mechanisms of Autumn Phytoplankton Blooms in the Yellow Sea Cold Water Mass (2000–2022) M. Liu et al. https://doi.org/10.3390/jmse14030313
- A Global, Gap-Free daily Ocean-Colour dataset (2000–2024) for robust marine ecological monitoring Y. Zhang et al. https://doi.org/10.1016/j.jag.2026.105532
- Spatiotemporal Characteristics and Physical–Ecological Coupling Mechanisms of Spring Phytoplankton Blooms in the Bohai Sea X. Song et al. https://doi.org/10.3390/jmse14060540
- Satellite-Observed Acceleration in the Occurrence of Compound Marine Heatwave and Phytoplankton Bloom Events in the Global Coastal Ocean J. Ma & C. Wang https://doi.org/10.3390/rs18091322
- Under‐Ice Phytoplankton Bloom and Associated Particulate Organic Matter Composition Dynamics in Prydz Bay, Antarctica A. Singh et al. https://doi.org/10.1029/2026JG009706
- Assessing the spatio-temporal variability of phytoplankton in Sundarban coastal waters using Sentinel 3 OLCI imagery based on C2RCC and neural network models A. De et al. https://doi.org/10.1016/j.asr.2026.05.080
Saved (final revised paper)
Latest update: 03 Sep 2026
Short summary
The annual widespread growth of phytoplankton blooms across the global ocean has far-reaching impacts on food security, ecosystem health, and climate. This study uses satellite-derived observations to generate long-term, sustained indices of phytoplankton phenology, capturing the timing, variability, and magnitude of blooms across the global ocean. These indices support the effective monitoring and management of marine resources and help assess the impacts of climate change on ocean ecosystems.
The annual widespread growth of phytoplankton blooms across the global ocean has far-reaching...
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