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We present a new mechanistic model, stochastic, Lagrangian aggregate model of sinking particles (SLAMS) for the biological pump in the ocean, which tracksthe evolution of individual particles as they aggregate, disaggregate, sink,and are altered by chemical and biological processes. SLAMS considers theimpacts of ballasting by mineral phases, binding of aggregates by transparent exopolymer particles (TEP), zooplankton grazing and the fractal geometry(porosity) of the aggregates. Parameterizations for age-dependent organic carbon (orgC) degradation kinetics, and disaggregation driven by zooplanktongrazing and TEP degradation, are motivated by observed particle fluxes andsize spectra throughout the water column. The model is able to explainobserved variations in orgC export efficiency and rain ratio from theeuphotic zone and to the sea floor as driven by sea surface temperature andthe primary production rate and seasonality of primary production. The modelprovides a new mechanistic framework with which to predict future changes onthe flux attenuation of orgC in response to climate change forcing

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