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

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

doi:https://doi.org/10.5194/os-19-703-2023

Articles | Volume 19, issue 3

https://doi.org/10.5194/os-19-703-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-19-703-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/os-19-703-2023-supplement

Data sets

Particle Size Distribution and Size-partitioned Phytoplankton Carbon Using a Two-Component Coated-Spheres Bio-optical Model: Monthly Global 4 km Imagery Based on the OC-CCI v5.0 Merged Ocean Color Satellite Data Set. Tihomir Sabinov Kostadinov, Lisl Roberston-Lain, Christina Eunjin Kong, Xiaodong Zhang, Stéphane Maritorena, Stewart Bernard, Hubert Loisel, Daniel S. F. Jorge, Ekaterina Kochetkova, Shovonlal Roy, Bror Jönsson, Victor Martinez-Vicente, and Shubha Sathyendranath https://doi.org/10.1594/PANGAEA.939863

Model code and software

PSD_PhytoC_v2021: Ocean Color Algorithm for the Retrieval of the Particle Size Distribution and Size-Partitioned Phytoplankton Carbon: Algorithm Development and Operational Code Tihomir Sabinov Kostadinov, Lisl Roberston-Lain, Stewart Bernard, Xiaodong Zhang, and Hubert Loisel https://doi.org/10.5281/zenodo.6354654

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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.