Development of a bio-optical model for the Barents Sea to quantitatively link glider and satellite observations
Author(s) -
Ina Kostakis,
Rüdiger Röttgers,
Andrew Orkney,
Heather A. Bouman,
Marie Porter,
Finlo Cottier,
Jørgen Berge,
David McKee
Publication year - 2020
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2019.0367
Subject(s) - glider , colored dissolved organic matter , remote sensing , ocean color , environmental science , satellite , biogeochemical cycle , attenuation , computer science , meteorology , geology , optics , physics , phytoplankton , ecology , astronomy , nutrient , biology , programming language
A bio-optical model for the Barents Sea is determined from a set of in situ observations of inherent optical properties (IOPs) and associated biogeochemical analyses. The bio-optical model provides a pathway to convert commonly measured parameters from glider-borne sensors (CTD, optical triplet sensor—chlorophyll and CDOM fluorescence, backscattering coefficients) to bulk spectral IOPs (absorption, attenuation and backscattering). IOPs derived from glider observations are subsequently used to estimate remote sensing reflectance spectra that compare well with coincident satellite observations, providing independent validation of the general applicability of the bio-optical model. Various challenges in the generation of a robust bio-optical model involving dealing with partial and limited quantity datasets and the interpretation of data from the optical triplet sensor are discussed. Establishing this quantitative link between glider-borne and satellite-borne data sources is an important step in integrating these data streams and has wide applicability for current and future integrated autonomous observation systems. This article is part of the theme issue ‘The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning’.
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