Preprints
https://doi.org/10.5194/gmd-2023-181
https://doi.org/10.5194/gmd-2023-181
Submitted as: model description paper
 | 
06 Sep 2023
Submitted as: model description paper |  | 06 Sep 2023
Status: this preprint is currently under review for the journal GMD.

FESOM2.1-REcoM3-MEDUSA2: an ocean-sea ice-biogeochemistry model coupled to a sediment model

Ying Ye, Guy Munhoven, Peter Köhler, Martin Butzin, Judith Hauck, Özgür Gürses, and Christoph Völker

Abstract. This study describes the coupling of the process-based Model of Early Diagenesis in the Upper Sediment (MEDUSA version 2) to an existing ocean biogeochemistry model consisting of the Finite-volumE Sea ice-Ocean Model (FESOM version 2.1) and the Regulated Ecosystem Model (REcoM version 3). Atmospheric CO2 in the model is a prognostic variable which is determined by the carbonate chemistry in the surface ocean. The model setup and its application to a pre-industrial control climate state is described in detail. In the coupled model 400 PgC are stored in equilibrium in the top 10 cm of the bioturbated sediment, mainly as calcite, but also to 5 % as organic matter. Simulated atmospheric CO2 is in equilibrium at 286 ppm in the coupled simulation, which is close to the initially assumed value of the pre-industrial CO2 level. Sediment burial of carbon, alkalinity and nutrients in the coupled simulation is set to be partly compensated by riverine input. The spatial distribution of biological production is altered depending on the location of riverine input and the strength of local nutrient limitation, while the global productivity is not affected substantially.

Ying Ye et al.

Status: open (until 01 Nov 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Ying Ye et al.

Model code and software

Ocean biogeochemistry model FESOM2.1-REcoM3 coupled with a sediment model MEDUSA2 Ying Ye https://doi.org/10.5281/zenodo.8315239

Ying Ye et al.

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Short summary
Many biogeochemistry models assume all material reaching the seafloor is remineralized and returned to solution, which is sufficient for studies on short-term climate change. Under long-term climate change the storage of carbon in sediments slows down carbon cycling and influences feedbacks in the atmosphere-ocean-sediment system. Here we coupled a sediment model to an ocean biogeochemistry model and found a shift of carbon storage from the atmosphere to the ocean-sediment system.