Abstract:

This dataset contains particle flux data (organic carbon, calcium carbonate, biogenic silica, sediments, and oil) simulated by the one-dimensional vertical Lagrangian aggregate model SLAMS (Stochastic Lagrangian Aggregate Model). Fortran source code necessary to reproduce modeled flux data is also included. The dataset supports the publication "Modeling marine-oil-snow formation and fate" (Jokulsdottir and Burd, submitted to Journal of Geophysical Research Oceans). Data and plotting scripts to reproduce manuscript figures are included.

Suggested Citation:

Jokulsdottir, Tinna. 2021. Particle flux data from a stochastic, Lagrangian aggregate model of sinking particles (SLAMS). Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/4ZF0HTX6

Purpose:

The purpose of the project is to better understand the process by which Marine Oil Snow (MOS) forms and settles to the seafloor. We quantify the flux of oil transported to the seafloor via MOS.

Data Parameters and Units:

Fluxes at the seafloor of organic carbon [g/m^2/d], CaCO3 [g/m^2/d], biogenic silica [g/m^2/d], dust, TEP (transparent exopolymer particles, [g/m^2/d]), oil [g/m^2/d], and sediment [g/m^2/d]; production at the surface of organic carbon [g/m^2/d] , calcium carbonate [g/m^2/d], biogenic silica [g/m^2/d] , dust [g/m^2/d], TEP [g/m^2/d], oil [g/m^2/d], and sediment [g/m^2day], time; hopane flux [ug/m^2/d]; time [days or hours]; particle radius [um], settling velocity [cm/s], aggregate density [g/cm^3], organic carbon content [mol C], inorganic carbon content [mol CaCO3], sediment content [g], porosity, radius of primary particle [um], oil content [g], opal content [mol Si], TEP carbon content [mol C], time [12hrs (timestep)], N (number of particles represented by AC), organic carbon content [mol/m^2/200days], oil content [g/m2/200 days], oil lost to respiration [% of production], oil left in water column [% of production], oil reaching the seafloor [% of production]. Units may vary and are specified in the subdirectories for individual figures. Please note that the figure# in the subdirectories refers to the figure in the associated manuscript "Modeling marine-oil-snow formation and fate" (Jokulsdottir and Burd, submitted to Journal of Geophysical Research Oceans).

Methods:

SLAMS is a stochastic and Lagrangian 1-D model of biogenic particles in the ocean as described in Jokulsdottir and Archer (2016) and in Dissayanake et al. (2018). The model domain is from the surface to 1500 m, with primary productivity rates, phytoplankton assemblage composition, and lithogenic fraction representative of the Gulf of Mexico.

Provenance and Historical References:

Jokulsdottir, T., & Archer, D. (2016). A stochastic, Lagrangian model of sinking biogenic aggregates in the ocean (SLAMS 1.0): model formulation, validation and sensitivity. Geoscientific Model Development, 9(4), 1455–1476. doi:10.5194/gmd-9-1455-2016 Dissanayake, A. L., Burd, A., Daly, K. L., Francis, S., & Passow, U. (2018). Numerical Modeling of the Interactions of Oil, Marine Snow, and Riverine Sediments in the Ocean. Journal of Geophysical Research: Oceans. doi:10.1029/2018jc013790

Individual Files: