2003a, Ficek et al. 2003), and complementing this general model with a series PI3K inhibitor of detailed models, worked out specially for the Baltic Sea, of light-driven optical and biological processes (see Majchrowski et al. 2007, Ostrowska et al. 2007, Woźniak et al. 2007a,b). With the mathematical apparatus based on these models, the characteristics of sunlight in the Baltic and the distribution of its energy among various processes, including photosynthesis, can be estimated from the remotely sensed input data for these models. This is the foundation of the DESAMBEM diagnostic algorithm (Woźniak

et al. 2008, Darecki et al. 2008) used in SBOS for calculating the results we are presenting in this paper (see Figure 5).

Figure 5 illustrates the distributions of the various forms of solar energy arriving during the day time at the Baltic Sea surface and thereafter incorporated into the ecosystem selleckchem via the photosynthesis of phytoplankton. They are the photosynthetically available solar radiation energy (400–700 nm) PAR (Figure 5a), the excitation energy of marine phytoplankton pigments, equal to the energy of the radiation absorbed by these pigments – PUR (Figure 5b), and the energy incorporated into the ecosystem as primary production, that is, the Photosynthetically Stored Radiation (PSR) (Figure 5c). Finally, Figure

5d shows a map of the Obatoclax Mesylate (GX15-070) quantity of oxygen O2 released during photosynthesis in the Baltic6. All these distributions were determined on the basis of satellite data from the SEVIRI (METEOSAT 9), AVHRR (NOAA 17, 18, 19) and MODIS (AQUA) sensors on 24 April 2011 with the aid of the DESAMBEM algorithm modified as above. Note that the values of the three forms of energy (spatially integrated along the vertical from the surface to great depths), summarized above in map form (Figure 5) for Baltic waters, characterize the several steps by which solar radiation enters the ecosystem (PAR, PUR and PSR). They are calculated indirectly from satellite data by way of multi-stage calculations. Such calculations can be performed using the light-photosynthesis model, mentioned earlier (e.g. Woźniak et al. 2003a), and the DESAMBEM algorithm, derived from an expanded version of that model (Woźniak et al. 2008, Darecki et al. 2008). In the first step of these calculations, remote sensing data are used in combination with the DESAMBEM or some similar algorithm to calculate the surface concentration of chlorophyll a (denoted by Ca(0) ≡ Ca(z ≈ 0)), which, among other things, provides an indication of the basin’s trophicity.