Articles | Volume 19, issue 3
https://doi.org/10.5194/os-19-703-2023
https://doi.org/10.5194/os-19-703-2023
Research article
 | 
26 May 2023
Research article |  | 26 May 2023

Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model

Tihomir S. Kostadinov, Lisl Robertson Lain, Christina Eunjin Kong, Xiaodong Zhang, Stéphane Maritorena, Stewart Bernard, Hubert Loisel, Daniel S. F. Jorge, Ekaterina Kochetkova, Shovonlal Roy, Bror Jonsson, Victor Martinez-Vicente, and Shubha Sathyendranath

Viewed

Total article views: 1,834 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,346 457 31 1,834 108 13 33
  • HTML: 1,346
  • PDF: 457
  • XML: 31
  • Total: 1,834
  • Supplement: 108
  • BibTeX: 13
  • EndNote: 33
Views and downloads (calculated since 14 Jun 2022)
Cumulative views and downloads (calculated since 14 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,834 (including HTML, PDF, and XML) Thereof 1,743 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 2024
Download
Short summary
We present a remote sensing algorithm to estimate the size distribution of particles suspended in natural near-surface ocean water using ocean color data. The algorithm can be used to estimate the abundance and carbon content of phytoplankton, photosynthesizing microorganisms that are at the basis of the marine food web and play an important role in Earth’s carbon cycle and climate. A merged, multi-sensor satellite data set and the model scientific code are provided.