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In this paper, modernized shipborne procedures are presented to collect and process above-water radiometry for remote sensing applications. A setup of five radiometers and a bidirectional camera system, which provides panoramic sea surface and sky images, is proposed for the collection of high-resolution radiometric quantities. Images from the camera system can be used to determine sky state and potential glint, whitecaps, or foam contamination. A peak in the observed remote sensing reflectance RRS spectra between 750-780 nm was typically found in spectra with relatively high surface reflected glint (SRG), which suggests this waveband could be a useful SRG indicator. Simplified steps for computing uncertainties in SRG corrected RRS are proposed and discussed. The potential of utilizing "unweighted multimodel averaging," which is the average of four or more common SRG correction models, is examined to determine the best approximation RRS. This best approximation RRS provides an estimate of RRS based on various SRG correction models established using radiative transfer simulations and field investigations. Applying the average RRS provides a measure of the inherent uncertainties or biases that result from a user subjectively choosing any one SRG correction model. Comparisons between inherent and apparent optical property derived observations were used to assess the robustness of the SRG multimodel averaging ap- proach. Correlations among the standard SRG models were completed to determine the degree of association or similarities between the SRG models. Results suggest that the choice of glint models strongly affects derived RRS values and can also influence the blue to green band ratios used for modeling biogeochemical parameters such as for chlorophyll a. The objective here is to present a uniform and traceable methodology for determining ship- borne RRS measurements and its associated errors due to glint correction and to ensure the direct comparability of these measurements in future investigations. We encourage the ocean color community to publish radiometric field measurements with matching and complete metadata in open access repositories.

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Contents and distribution of particulate lipids were studied by thin-layer chromatography technique with flame ionization detection (Iatroscan TH-10) along the transect from the Ob River towards the Kara Sea. Lipid contents range from 18.4 to 266 µg/l with, average 84.97 µg/l, which comprises from 4.06 to 58.32 % of total particulate organic matter. Principal constituents of particulate lipids are hydrocarbons (32.14 % of total lipids on the average), polar compounds (29.85 %), wax and sterol esters (13.04 %), and mono- and diglycerides (12.52 %). Secondary components are presented by fatty acid esters (5.14 %), free fatty acids (4.56 %), triglycerides (2.32 %), and sterols (1.04 %). Specific composition of particulate lipids along the Ob River - Kara Sea transect is formed under strong impact of river run-off. Particulate lipid composition reflects differences between processes of organic matter transformation in estuarine and marine parts of the transect, as well as peculiarities of species composition of Arctic living organisms.