This approach resulted in an improvement of the model’s ability to estimate nitrogen fixation rates and primary production in the central Baltic Sea, and to study the impact of nitrogen fixation on the development of the ecological state of the sea. The model used in this work is the public domain water-column model GOTM (General Ocean Turbulence Model, see www.gotm.net; Burchard et al. (2006)), which was coupled with a modified Baltic Sea ecosystem model ERGOM (Neumann et al. 2002). GOTM is based on the

Reynolds-averaged Navier-Stokes equations in a rotating reference frame, as well as on the Reynolds-averaged versions of the transport equations of temperature and salinity. In the GOTM, specific emphasis has been placed on the implementation of two-equation Alectinib supplier statistical

turbulence closure models with algebraic second-moment Selleck 5-Fluoracil closures (for an overview, see Burchard (2002), Umlauf & Burchard (2003) and Umlauf & Burchard (2005)). The biogeochemical ERGOM model is coupled to the physical model as an Eulerian-type model in which all state variables, dissolved elements (O2, NH4, PO4, etc.) and particles (zooplankton, phytoplankton, etc.), are expressed as concentrations. A detailed description of the coupling of the GOTM and ERGOM models can be found in Burchard et al. (2006). The basic structure of the biogeochemical model is explained in Figure 2. It consists of 18 state variables, including the nutrient state variables of dissolved ammonium, nitrate and phosphate. Verteporfin ic50 Primary production is provided by four functional phytoplankton

groups: diatoms, flagellates and two groups of cyanobacteria. Diatoms are large cells that grow rapidly in nutrient-rich conditions. Flagellates are smaller cells with an advantage at lower nutrient concentrations during summer conditions. Since cyanobacteria are able to fix and utilize atmospheric elemental nitrogen, the model assumes that phosphate is the only limiting nutrient for this group. In addition, owing to their ability to fix nitrogen, cyanobacteria are a nitrogen source for the ecosystem. A dynamically developing bulk zooplankton variable provides grazing pressure on the phytoplankton. Dead particles are considered as a detritus state variable. The detritus is mineralized into dissolved ammonium, phosphate and total CO2 during the sedimentation process. A certain amount of the detritus reaches the bottom, where it accumulates in the sedimentary detritus. In the model, the development of oxygen is coupled to the biogeochemical processes via stoichiometric ratios (Table 7, see Appendix page 770), with the oxygen concentration controlling processes such as denitrification, nitrification and sulphate reduction. All the variables of the model are presented in Table 1. The equations of the model can be found in the Appendix. ERGOM has been successfully applied in several studies of the Baltic Sea (Fennel & Neumann 1996, Neumann et al.