Articles | Volume 9, issue 4
Geosci. Model Dev., 9, 1455–1476, 2016
https://doi.org/10.5194/gmd-9-1455-2016
Geosci. Model Dev., 9, 1455–1476, 2016
https://doi.org/10.5194/gmd-9-1455-2016

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (07 Jan 2016)  Author's response
ED: Referee Nomination & Report Request started (07 Jan 2016) by Guy Munhoven
RR by George Jackson (28 Jan 2016)
RR by Anonymous Referee #2 (29 Jan 2016)
ED: Publish subject to minor revisions (Editor review) (03 Feb 2016) by Guy Munhoven
AR by Anna Wenzel on behalf of the Authors (22 Feb 2016)  Author's response
ED: Publish subject to minor revisions (Editor review) (26 Feb 2016) by Guy Munhoven
AR by Svenja Lange on behalf of the Authors (15 Mar 2016)  Author's response
ED: Publish as is (15 Mar 2016) by Guy Munhoven
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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.