Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans.
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Brewin, Robert J. W.
Hickman, Anna E.
Kostadinov, Tihomir S.
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Particulate Organic Carbon (POC) plays a vital role in the ocean carbon cycle. Though relatively small compared with other carbon pools, the POC pool is responsible for large fluxes and is linked to many important ocean biogeochemical processes. The satellite ocean-color signal is influenced by particle composition, size, and concentration and provides a way to observe variability in the POC pool at a range of temporal and spatial scales. To provide accurate estimates of POC concentration from satellite ocean color data requires algorithms that are well validated, with uncertainties characterized. Here, a number of algorithms to derive POC using different optical variables are applied to merged satellite ocean color data provided by the Ocean Color Climate Change Initiative (OC-CCI) and validated against the largest database of in situ POC measurements currently available. The results of this validation exercise indicate satisfactory levels of performance from several algori.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.A
Essential Ocean Variables (EOV)Phytoplankton biomass and diversity
Maturity LevelTRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationEvers-King, H,; Martinez-Vicente, V.; Brewin, R.J.W. et al (2017) Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organc Carbon in the Oceans. Frontiers in Marine Science, 4:251, 20pp. DOI: 10.3389/fmars.2017.00251
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