Retrieving new biooptical information from spectrally highly resolved satellite data
In order to understand the marine phytoplankton’s role in the global marine ecosystem and biogeochemical cycles it is necessary to derive global information on the distribution of its biomass and primary production, in particular the distribution of major functional phytoplankton types (PFT) in the world oceans. Using common ocean color sensors like SeaWiFS or MERIS, only overall the phytoplankton biomass or the dominant phytoplankton group can be derived. In order to get a global quantitative estimate of different PFT in the oceans, we adapted the technique of Differential Optical Absorption Spectroscopy (DOAS), which has been established for retrieval of atmospheric components, for the retrieval of the absorption and biomass of two major phytoplankton groups (PhytoDOAS) from data of the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite sensor. SCIAMACHY measures back scattered solar radiation in the UV-Vis-NIR spectral regions with a high spectral resolution (0.2 to 1.5 nm). In order to identify phytoplankton absorption characteristics in SCIAMACHY data in the range of 430 to 500 nm, phytoplankton absorption spectra measured in-situ during two different RV Polarstern expeditions were used. The two spectra have been measured in different ocean regions where different phytoplankton groups (cyanobacteria and diatoms) dominated the phytoplankton composition. Results show clearly distinct absorption characteristics of the two phytoplankton groups in the SCIAMACHY spectra (see Fig. 1).

Figure 1: Differential Optical Depth of a spectral PhytoDOAS fit with SCIAMACHY data (black) for a specific phytoplankton group (upper panel: for cyanobacteria and lower panel: for diatoms) using in-situ measured phytoplankton group specific differential absorption cross sections and showing the scaled in-situ phytoplankton differential absorption (red) of the specific group. For the cyanobacteria example shown in the upper panel, the SCIAMACHY measurement was within 20 hours and 50 km of the in-situ measurement. For the diatom example in the lower panel, the SCIAMACHY measurement was within 2 hours and 200 km of the in-situ measurement. Figure taken from Bracher et al. (2009)
Using these results in addition to calculations of the light penetration depth derived from DOAS retrievals of the inelastic scattering (developed by Vountas et al., 2007), globally distributed pigment concentrations for these characteristic phytoplankton groups for two monthly periods (Feb-Mar 2004 and Oct-Nov 2005) were determined (see Fig. 2). This satellite information on cyanobacteria and diatoms distribution matches well the concentrations based on high pressure liquid chromatography (HPLC) pigment analysis of collocated water samples and concentrations derived from a global model analysis with the NASA Ocean Biogeochemical Model (NOBM; details in Gregg et al., 2003, Gregg and Casey 2007). The quantitative assessment of the distribution of key phytoplankton groups from space enables various biogeochemical provinces to be distinguished and will be of great importance for the global modeling of marine ecosystem and biogeochemical cycles which enables the impact of climate change in the oceanic biosphere to be estimated. More details about this study you can find in Bracher et al. (2009).

Figure 2: Monthly average (15 Oct to 15 Nov 2005) global distribution of cyanobacteria (upper panel) and diatoms (lower panel) biomass (as chlorophyll concentration) determined by using the PhytoDOAS with SCIAMACHY data. Figure taken from Bracher et al. (2009)
References
Gregg, W. W., Ginoux, P., Schopf, P. S., and Casey, N. W. (2003). Phytoplankton and iron: validation of a global three-dimensional ocean biogeochemical model, Deep Sea Res. II, 50, 3147-3169.
Gregg, W. W., and Casey, N. W. (2007). Modeling coccolithophores in the global oceans, Deep Sea Res. II, 54 (5-7), 447-477.







