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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 5, pp. 28-39

Validation of satellite algorithms for calculating the absorption coefficient of colored dissolved organic matter in the Barents Sea

A.V. Yushmanova 1, 2 , S.V. Vazyulya 1 
1 Shirshov Institute of Oceanology RAS, Moscow, Russia
2 Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
Accepted: 12.10.2022
DOI: 10.21046/2070-7401-2022-19-5-28-39
This article is devoted to the analysis of the results of the work of satellite algorithms based on MODIS Aqua data used to calculate the absorption coefficient of colored dissolved organic matter (CDOM) in the Barents Sea: the regional algorithm RSA (Regional Semi-Analytical Algorithm) of the ocean optics laboratory of the Shirshov Institute of Oceanology RAS (SIO RAS), the quasi-analytical QAA (Quasi-Analytical Algorithm) and GIOP (Generalized Inherent Optical Property). These algorithms were validated according to the data of shipboard measurements performed during six expeditions of the SIO RAS in the summer season from 2016 to 2021 on cruises of the R/V Akademik Mstislav Keldysh. Comparison with field measurements performed on the ICAM (Integrated Cavity Absorption Meter) integrating sphere showed the applicability of the regional algorithm of the CDOM absorption coefficient retrieval: relative error — 31 %, root mean square error (RMSE) — 0.022 m–1. The QAA and GIOP algorithms underestimate the values of this parameter by an average of 45 and 60 %, respectively. The coefficients of backscattering by suspended particles obtained as a result of applying these algorithms are close to each other (R2 = 0.99). The total absorption coefficient obtained by GIOP is underestimated compared to direct determinations. At the same time, QAA and RSA show similar results (relative error of 25 %); however, QAA gives higher values of the particulate absorption coefficient compared to the measured ones. The station with coccolithophore bloom (5 million cells/l) was considered separately and the discussed bio-optical parameters of seawater were calculated from the data of satellite passes and a floating spectroradiometer. Calculated by GIOP and QAA, the seawater absorption and CDOM values are also lower than measured ones, and the RSA algorithm determined close values: relative errors of 12 and 8 %, respectively. Spatial distributions of the CDOM absorption coefficient according to the regional algorithm make it possible to consider the regional features of the Barents Sea; the QAA and GIOP algorithms make this process difficult.
Keywords: absorption coefficient, colored dissolved organic matter, particulate backscattering coefficient, Barents Sea, ICAM, MODIS, RSA, QAA, GIOP, reprocessing
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