Articles | Volume 19, issue 3
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

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Cited articles

Aden, A. L. and Kerker, M.: Scattering of Electromagnetic Waves from Two Concentric Spheres, J. Appl. Phys., 22, 1242–1246,, 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,, 2003. a
Bader, H.: The hyperbolic distribution of particle sizes, J. Geophys. Res., 75, 2822–2830,, 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,, 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,, 2018. a, b
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.