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

Related authors

Decadal and spatially complete global surface chlorophyll-a data record from satellite and BGC-Argo observations
Daniel J. Ford, Gemma Kulk, Shubha Sathyendranath, and Jamie D. Shutler
Earth Syst. Sci. Data, 18, 569–584, https://doi.org/10.5194/essd-18-569-2026,https://doi.org/10.5194/essd-18-569-2026, 2026
Short summary
A new global dataset of photosynthesis parameters
Žarko Kovač, Marija Bačeković Koloper, Shubha Sathyendranath, Gemma Kulk, Heather Bouman, and Leon Ćatipović
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-820,https://doi.org/10.5194/essd-2025-820, 2026
Preprint under review for ESSD
Short summary
Modelling primary production: multitude of theories, or multitude of languages?
Jozef Skákala, Shubha Sathyendranath, Yuri Artioli, Deep S. Banerjee, Heather Bouman, Robert J. W. Brewin, Momme Butenschön, Stefano Ciavatta, Stephanie Dutkiewicz, Yanna Fidai, David Ford, Grinson George, Karen Guihou, Bror Jönsson, Marija Bačeković Koloper, Žarko Kovač, Lekshmi Krishnakumary, Gemma Kulk, Charlotte Laufkötter, Gennadi Lessin, Jann Paul Mattern, Angélique Melet, Alexandre Mignot, David Moffat, Fanny Monteiro, Mayra Rodriguez Bennadji, Cécile Rousseaux, Ranjini Swaminathan, Osvaldo Ulloa, and Jerry Tjiputra
EGUsphere, https://doi.org/10.5194/egusphere-2025-6256,https://doi.org/10.5194/egusphere-2025-6256, 2025
Short summary
Simulating vertical phytoplankton dynamics in a stratified ocean using a two-layered ecosystem model
Qi Zheng, Johannes J. Viljoen, Xuerong Sun, Žarko Kovač, Shubha Sathyendranath, and Robert J. W. Brewin
Biogeosciences, 22, 3253–3278, https://doi.org/10.5194/bg-22-3253-2025,https://doi.org/10.5194/bg-22-3253-2025, 2025
Short summary
Relationships between the concentration of particulate organic nitrogen and the inherent optical properties of seawater in oceanic surface waters
Alain Fumenia, Hubert Loisel, Rick A. Reynolds, and Dariusz Stramski
Biogeosciences, 22, 2461–2484, https://doi.org/10.5194/bg-22-2461-2025,https://doi.org/10.5194/bg-22-2461-2025, 2025
Short summary

Cited articles

Aden, A. L. and Kerker, M.: Scattering of Electromagnetic Waves from Two Concentric Spheres, J. Appl. Phys., 22, 1242–1246, https://doi.org/10.1063/1.1699834, 1951. a
Babin, M., Morel, A., Fournier-Sicre, V., Fell, F., and Stramski, D.: Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration, Limnol. Oceanogr., 48, 843–859, https://doi.org/10.4319/lo.2003.48.2.0843, 2003. a
Bader, H.: The hyperbolic distribution of particle sizes, J. Geophys. Res., 75, 2822–2830, https://doi.org/10.1029/JC075i015p02822, 1970. a
Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. Cy., 19, 1–14, https://doi.org/10.1029/2004GB002299, 2005. a, b, c, d
Bellacicco, M., Volpe, G., Briggs, N., Brando, V., Pitarch, J., Landolfi, A., Colella, S., Marullo, S., and Santoleri, R.: Global Distribution of Non-algal Particles From Ocean Color Data and Implications for Phytoplankton Biomass Detection, Geophys. Res. Lett., 45, 7672–7682, https://doi.org/10.1029/2018GL078185, 2018. a, b
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

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.
Share