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

Viewed

Total article views: 2,314 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,338 427 549 2,314 80 78
  • HTML: 1,338
  • PDF: 427
  • XML: 549
  • Total: 2,314
  • BibTeX: 80
  • EndNote: 78
Views and downloads (calculated since 29 Feb 2024)
Cumulative views and downloads (calculated since 29 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,314 (including HTML, PDF, and XML) Thereof 2,294 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 25 Jun 2025
Download
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.
Share
Altmetrics
Final-revised paper
Preprint