Abstract

Abstract. In coupled biogeochmical–ocean models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamical cores employing quasi-regular meshes, and therefore utilize limited spatial resolution in a global setting. An alternative approach is to use an unstructured-mesh ocean model, which allows variable mesh resolution. Here, we present initial results of a coupling between the Finite Element Sea Ice–Ocean Model (FESOM) and the biogeochemical model REcoM2 (Regulated Ecosystem Model 2), with special focus on the Southern Ocean. Surface fields of nutrients, chlorophyll a and net primary production (NPP) were compared to available data sets with a focus on spatial distribution and seasonal cycle. The model produces realistic spatial distributions, especially regarding NPP and chlorophyll a, whereas the iron concentration becomes too low in the Pacific Ocean. The modelled NPP is 32.5 Pg C yr−1 and the export production 6.1 Pg C yr−1, which is lower than satellite-based estimates, mainly due to excessive iron limitation in the Pacific along with too little coastal production. The model performs well in the Southern Ocean, though the assessment here is hindered by the lower availability of observations. The modelled NPP is 3.1 Pg C yr−1 in the Southern Ocean and the export production 1.1 Pg C yr−1. All in all, the combination of a circulation model on an unstructured grid with a biogeochemical–ocean model shows similar performance to other models at non-eddy-permitting resolution. It is well suited for studies of the Southern Ocean, but on the global scale deficiencies in the Pacific Ocean would have to be taken into account.

Highlights

  • Primary production plays a large role in ocean carbon cycling, and understanding the drivers behind primary production is of paramount importance when it comes to understanding the changes that a future warmer climate will bring

  • In the current study we show that the newly coupled model Finite Element Sea Ice–Ocean Model (FESOM)–Regulated Ecosystem Model 2 (REcoM2) reproduces the large-scale productivity and surface nutrient patterns, with the main deficiency being the strongly iron limited Pacific Ocean

  • The totals net primary production (NPP) and export production (EP) are within the range of previous estimates, but in the lower end, mainly due to the low productivity in the Pacific

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Summary

Introduction

Primary production plays a large role in ocean carbon cycling, and understanding the drivers behind primary production is of paramount importance when it comes to understanding the changes that a future warmer climate will bring. Observations, as well as coupled biogeochemical–ocean models, indicate that climate change will decrease the oceanic net primary production (NPP) (Behrenfeld et al, 2006; Steinacher et al, 2010). This would have far-reaching implications, from changes of the carbon cycle to effects on fisheries. Coupled biogeochemical–ocean models are important tools used to analyse the net primary production in the ocean and the effects of climate change on it (e.g. Le Quéré et al, 2003; Bopp et al, 2013). Results from the second Ocean Carbon-Cycle Model Intercomparison Project (OCMIP-2) highlighted the importance of the ocean model; they showed how the representation of the Published by Copernicus Publications on behalf of the European Geosciences Union

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