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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 May 2023
Research article |
| 26 May 2023
| 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
CORRESPONDING AUTHOR
Department of Liberal Studies, California State University San Marcos, 333 S. Twin Oaks Valley Rd., San Marcos, CA 92096, USA
Lisl Robertson Lain
Earth Observation, Smart Places, CSIR 7700, Cape
Town, South Africa
Christina Eunjin Kong
Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1 3DH, UK
Xiaodong Zhang
Division of Marine Science, School of Ocean Science and Engineering, The University of Southern Mississippi, Stennis Space Center, MS 39529, USA
Stéphane Maritorena
Earth Research Institute, University of California at Santa Barbara,
Santa Barbara, CA 93106-3060, USA
Stewart Bernard
SANSA, Enterprise Building, Mark Shuttleworth Street, Innovation Hub, Pretoria 0087, South Africa
Hubert Loisel
Univ. Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d'Océanologie et de Géosciences, 62930 Wimereux, France
Daniel S. F. Jorge
Univ. Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 – LOG – Laboratoire d'Océanologie et de Géosciences, 62930 Wimereux, France
Ekaterina Kochetkova
Department of Earth and Environmental Science, Hayden Hall, University of Pennsylvania, 240 South 33rd St., Philadelphia, PA 19104, USA
Shovonlal Roy
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6DW, UK
Bror Jonsson
National Centre for Earth Observation, Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1 3DH, UK
Victor Martinez-Vicente
Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1 3DH, UK
Shubha Sathyendranath
National Centre for Earth Observation, Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1 3DH, UK
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Intermittent dynamics of particle size distribution in coastal waters is studied. Particle sizes are separated into four size classes: silt, fine, coarse and macro particles. The time series of each size class is derived, and their multiscaling properties studied. Similar analysis has been done for suspended particulate matter and total volume concentration. All quantities display a nonlinear moment function and a negative Hurst scaling exponent.
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We compare how two global circulation models simulate biological production over the year with observations. Note that models simulate the range of biological production and biomass well but fail with regard to timing and regional structures. This is probably because the physics in the models are wrong, especially vertical processes such as mixed layer dynamics.
T. S. Kostadinov and R. Gilb
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https://doi.org/10.1029/2020GL087100,2020. 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.
We present a remote sensing algorithm to estimate the size distribution of particles suspended...
