Spatial and temporal variability in suspended particulate matter concentration within the active layer of the White Sea

Satellite optical characteristics, suspended particulate matter, and particle fluxes in the surface layer of the White Sea

“…Figure 3. Monthly average distributions of total suspended matter concentration (ТSM, mg/L) in the surface layer of the White Sea according to the MODIS-Aqua satellite scanner, averaged over 8 years of observations 16 , as well as the monthly average fluxes of sedimentary matter recalculated according to the regression equation (Р, mg/m 2 /day) from the surface layer.…”

“…Recalculating by the regression equation (Р = 1258С SPM -445) the values of the average monthly distributions of total suspended matter (TSM) concentration (mg/L) in the surface layer of the White Sea, obtained from the data of the MODIS-Aqua satellite scanner and averaged over 8 years of observations 16 , we can obtain independent scheme of distribution of average monthly fluxes of sedimentary matter (P, mg/m 2 /day) from the surface layer of the White Sea for five months (Fig. 3).…”

“…quantitative study of suspended particulate matter (SPM) in the water column (concentration, mg/L) [12][13] . According to the data of two spectral channels of the MODIS-Aqua scanner 531 and 551 nm, the index of backscattering by suspended particles (bbp, m -1 ) of surface waters (0-5 m) of the White Sea was calculated [14][15][16] . The vertical fluxes (mg/m 2 /day) of sedimentary matter were determined by the method of sedimentation traps [17][18] (Fig.…”

Suspended particulate matter in the White Sea: the results of long-term interdisciplinary research

“…Based on the data for two spectral channels of the MODIS-Aqua colour scanner, 531 and 551 nm, the parameter of backward scatter by suspended particles (bbp, m -1 ) was calculated (Burenkov et al 2011). The algorithm to find the SPM concentration is based on a regression relationship between SPM and bbp, which is written for the White Sea as follows (Burenkov et al 2011, Lisitzin et al 2013:…”

“…Real measurements, which are highly local ("point") in the spatial sense and nearly "instant" in the temporal sense, can show higher variations than satellite data averaged over area (2 km × 2 km) and time (day-month-year). Analysis of the seasonal and interannual variations in the SPM and Chla concentration from satellite data has allowed us to reveal the characteristic features of these variations in the period discussed (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) (Kravchishina et al 2013, Lisitzin et al 2013.…”