6. Conclusion


The new CD-ROM continues the long-term series of data on bio-optical characteristics of the seas, surrounding Russia, derived from satellite ocean color data. In comparison with the previous issue of 2009, the data of 2009-2010 are included.

As before, the new issue includes color maps with the mean monthly distributions of the bio-optical characteristics in the Barents, White, Black, and Caspian seas since 1998; diagrams demonstrating variability of the monthly means in different sub-regions and in the whole basins; tables with parameters of the inter-annual changeability of different characteristics.

These characteristics include the chlorophyll and total suspended matter (TSM) concentrations, the particle backscattering and yellow substance absorption coefficients. For the first time the sea surface temperature (SST) is included, which is calculated from MODIS-Aqua data since July 2002. SST data were added to provide an opportunity for analysis of connection between changes of bio-optical characteristics and SST [8, 9].

All of the bio-optical characteristics from 1998 to 2008 were re-calculated after SeaWiFS and MODIS-Aqua Reprocessing 2009

(http://oceancolor.gsfc.nasa.gov/REPROCESSING/R2009/), and for 2009-2010

after Reprocessing 2010

(http://oceancolor.gsfc.nasa.gov/WIKI/OCReproc20100MA.html).

The other problem, being solved to provide the long-term series of data on bio-optical characteristics, was joining the SeaWiFS and MODIS-Aqua data together. For the period from January 1998 to June 2002 the SeaWiFS monthly averages were converted to the MODIS-like monthly averages (by using the regression equations MODIS-Aqua vs. SeaWiFS) and the MODIS data were used since July 2002.

The reprocessing of satellite data did not changed the regional algorithms, used for calculation of bio-optical characteristics, because they were derived on basis of the ship measured data. The exceptions are the algorithms for the White Sea which are based on the regression equations between the remote sensing reflection derived from satellite data and in situ measured values of Chl and TSM. The algorithms for the Caspian Sea were changed, because new data of in situ measurements were obtained and used to refine the previous bio-optical algorithms [37].

The presented results demonstrate once again the opportunities of using satellite ocean color data for long-term monitoring of marine environment. Some interesting results on the bio-optical characteristics in the Russian Seas have been obtained from satellite ocean color data, and their evidence by in situ data was demonstrated in our previous publications [38]. New data are discussed in [8, 19, 25, 26].