Articles | Volume 9, issue 4
https://doi.org/10.5194/gmd-9-1455-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1455-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A stochastic, Lagrangian model of sinking biogenic aggregates in the ocean (SLAMS 1.0): model formulation, validation and sensitivity
Tinna Jokulsdottir
CORRESPONDING AUTHOR
Department of the Geophysical Sciences, University of Chicago,
Chicago, IL 60637, USA
David Archer
Department of the Geophysical Sciences, University of Chicago,
Chicago, IL 60637, USA
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- New guidelines for the application of Stokes' models to the sinking velocity of marine aggregates E. Laurenceau‐Cornec et al. 10.1002/lno.11388
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- Modeling the Vertical Flux of Organic Carbon in the Global Ocean A. Burd 10.1146/annurev-marine-022123-102516
- Distribution of transparent exopolymer particles (TEP) across an organic carbon gradient in the western North Atlantic Ocean M. Jennings et al. 10.1016/j.marchem.2017.01.002
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- The dissolution behavior of biogenic calcites in seawater and a possible role for magnesium and organic carbon A. Subhas et al. 10.1016/j.marchem.2018.08.001
- Transport of dispersed oil compounds to the seafloor by sinking phytoplankton aggregates: A modeling study S. Francis & U. Passow 10.1016/j.dsr.2019.103192
- Sinking flux of particulate organic matter in the oceans: Sensitivity to particle characteristics M. Omand et al. 10.1038/s41598-020-60424-5
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- Numerical Modeling of the Interactions of Oil, Marine Snow, and Riverine Sediments in the Ocean A. Dissanayake et al. 10.1029/2018JC013790
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- Lagrangian and Eulerian modelling of river plumes in the Great Barrier Reef system, Australia S. Aijaz et al. 10.1016/j.ocemod.2023.102310
- Variable particle size distributions reduce the sensitivity of global export flux to climate change S. Leung et al. 10.5194/bg-18-229-2021
- From Nano-Gels to Marine Snow: A Synthesis of Gel Formation Processes and Modeling Efforts Involved with Particle Flux in the Ocean A. Quigg et al. 10.3390/gels7030114
- Global niche of marine anaerobic metabolisms expanded by particle microenvironments D. Bianchi et al. 10.1038/s41561-018-0081-0
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- Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS): Fieldwork, Synthesis, and Modeling Efforts R. Sanders et al. 10.3389/fmars.2016.00136
- Modelling the effects of copepod diel vertical migration and community structure on ocean carbon flux using an agent-based model C. Countryman et al. 10.1016/j.ecolmodel.2022.110003
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- Predicting particle catchment areas of deep-ocean sediment traps using machine learning T. Picard et al. 10.5194/os-20-1149-2024
- Sinking enhances the degradation of organic particles by marine bacteria U. Alcolombri et al. 10.1038/s41561-021-00817-x
3 citations as recorded by crossref.
- The Role of Particle Size, Ballast, Temperature, and Oxygen in the Sinking Flux to the Deep Sea J. Cram et al. 10.1029/2017GB005710
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- Depth profiles of suspended carbon and nitrogen along a North Pacific transect: Concentrations, isotopes, and ratios S. Dong et al. 10.1002/lno.11989
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Latest update: 13 Dec 2024
Short summary
To better understand what controls the flux of organic and inorganic material down the water column we developed a numerical model that simulates coagulation, settling and bio-chemical transformation of particles in the ocean. To simulate the many types of material the particles constitute, we took a Lagrangian approach. Our results suggest the flux is most sensitive to environmental change in polar regions. We found that zooplankton are the biggest unknown when predicting the flux.
To better understand what controls the flux of organic and inorganic material down the water...