(40)). The average chlorophyll a concentrations in the southern Baltic Sea (average values for 1965–1998 – see Table 1, page 987) were used to calculate primary production (PRP) after Renk (2000: eq. (32), Table 8). The primary production values obtained in this way were subsequently

compared with the simulated ones. The modelled average primary production values for 1965–1998 agree with the experimental data for PRP for the same period (see Discussion) The primary production was obtained using the equation (PRP = fmaxfminFIPhyt) (see Dzierzbicka-Głowacka et al. 2010a: Appendix A). The average increase in daily solar energy in Gdynia was 0.02% ≅ 0.003 MJ Selleck BKM120 m−2 d−1 in the spring PD0325901 and summer, and the corresponding decrease during the winter was ca 0.005% ≅ 0.00053 MJ m−2 d−1. The calculations were made on the basis of experimental data provided by the Institute of Meteorology and Water Management in Gdynia. In Dzierzbicka-Głowacka et al. (2010a) the photosynthetically available radiation (PAR) at the sea surface Io(Io(t) = εQg) was identified as ε(ε = 0.465(1.195 – 0.195Tcl)), where Tcl is the cloud transmittance function ( Czyszek et al. 1979) of the net flux of short-wave radiation Qg. Here the irradiance Io(t) (kJ m−2 h−1) is expressed as a function of the daily dose of solar radiation ηd transmitted through the sea surface using equation(1) Io(t)=ηdλ(1+cos2πtλ)(λ is the length

of day, in hours), where the average value of ηd for the southern Baltic Sea (for 1965–1998 period) was derived using the least squares method ( Renk & Ochocki 1998). Based on this trend, seasonal variability of POC was numerically calculated for the next 50 years. This main trend was used as a scaling factor for

the prediction of the future Baltic climate. In the first step of our study, the calculations were made on the assumption that: 1. the water upper layer temperature rises at a rate of 0.008°C per year, We assumed the long term variations of the parameters T, PAR and Nutr to be: equation(2) S=So+Sa+Yd(Year−2000),S=So+Sa+Yd(Year−2000),where: S – parameter examined (temperature, PAR, nutrients), The starting-point of the numerical Mirabegron simulations was taken to be the end of 2000 with the daily average values of the hydrodynamic variables for 1960–2000. Based on the trend indicated above, daily, monthly, seasonal and annual variabilities of primary production, phytoplankton, zooplankton, pelagic detritus and particulate organic carbon (POC) in different areas of the southern Baltic Sea (Gdańsk Deep – GdD, Bornholm Deep – BD and Gotland Deep – GtD) in the upper layer (0–10 m) were calculated for the different nutrient concentrations, available light and water temperature scenarios. The effect on primary production of the decrease in radiation, which is exponential, is seen mainly in the upper layer.