Articles | Volume 9, issue 4
Geosci. Model Dev., 9, 1455–1476, 2016
Geosci. Model Dev., 9, 1455–1476, 2016

Model description paper 19 Apr 2016

Model description paper | 19 Apr 2016

A stochastic, Lagrangian model of sinking biogenic aggregates in the ocean (SLAMS 1.0): model formulation, validation and sensitivity

Tinna Jokulsdottir and David Archer

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Cited articles

Alldredge, A. and Gotschalk, C.: In situ settling behavior of marine snow, Limnol. Oceanogr., 33, 339–351, 1988.
Alldredge, A. and McGillivary, P.: The attachment probabilities of marine snow and their implications for particle coagulation in the ocean, Deep-Sea Res., 38, 431–443, 1991.
Alldredge, A. and Silver, M. W.: Characteristics, Dynamics and Significance of Marine Snow, Prog. Oceanogr., 20, 41–82, 1988.
Alldredge, A., Granata, G. C., Gotschalk, C. C., and Dickey, T. D.: The physical strength of marine snow and its implications for particle disaggregation in the ocean, Limnol. Oceanogr., 35, 1415–1428, 1990.
Alldredge, A., Gotschalk, C., Passow, U., and Riebesell, U.: Mass aggregation of diatom blooms: Insights from a mesocosm study, Deep-Sea Res. Pt. II, 42, 9–27, 1995.
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.