Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1959-2025
https://doi.org/10.5194/essd-17-1959-2025
Data description paper
 | 
09 May 2025
Data description paper |  | 09 May 2025

Satellite-derived global-ocean phytoplankton phenology indices

Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith

Data sets

Global Phytoplankton Phenological Indices – 4km resolution S.-A. Nicholson et al. https://doi.org/10.5281/zenodo.8402932

Global Phytoplankton Phenological Indices – 9km resolution S.-A. Nicholson et al. https://doi.org/10.5281/zenodo.8402847

Global Phytoplankton Phenological Indices – 25km resolution S.-A. Nicholson et al. https://doi.org/10.5281/zenodo.8402823

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 6.0, 4km resolution data S.-A. Sathyendranath et al. https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0

Model code and software

Code to produce figures in "Satellite-derived global-ocean phytoplankton phenology indices" (v1.0) S.-A. Nicholson et al. https://doi.org/10.5281/zenodo.15323392

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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.
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