The Black Sea IOPs based on SeaWiFS data

V. Suslin; S. Pryahina; T. Churilova; V. Slabakova

doi:10.1117/12.2248332

29 November 2016 The Black Sea IOPs based on SeaWiFS data

V. Suslin, S. Pryahina, T. Churilova, V. Slabakova

Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1003531 (2016) https://doi.org/10.1117/12.2248332
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation

Abstract

In this study, a regional algorithm for retrieving Inherent Optical Properties (IOPs) has been developed for the Black Sea using remote sensing reflectance at five wavelengths in the visible spectral range corresponding to the Sea-viewing Wide Field of View Sensor (SeaWiFS). The model retrieves a spectral signature of particle backscattering coefficient at 555 nm, b_bp(λ), and its spectral slope, n_p, total absorption coefficient of colored detrital matter (sum of colored dissolved matter and non-algal particles, CDM) at 490 nm, a_CDM(λ), spectral slope of CDM absorption coefficient, S, and chlorophyll a concentration, C_a. These satellite derived set of IOPs and bio-optical properties measured in situ in the western open Black Sea within period 1998-1999 have been analyzed. The result reveals four specific cases corresponding to 1) variation of spectral slope of CDM absorption coefficient, 2) coccolithophores blooms, 3) domination of micro-celled phytoplankton (diatoms and/or dinoflagellates) and 4) presences of the picoplankton in phytoplankton community. Examples of the spatial distribution and seasonal variability of the retrieved parameters in half-monthly composite maps are presented. A complete set of these maps for SeaWiFS lifetime is available on http://blackseacolor.com/.

Citation Download Citation

V. Suslin, S. Pryahina, T. Churilova, and V. Slabakova "The Black Sea IOPs based on SeaWiFS data", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1003531 (29 November 2016); https://doi.org/10.1117/12.2248332

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