Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups.
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Brewin, Robert J. W.
Airs, Ruth L.
Raitsos, Dionysios E.
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Over the past decade, techniques have been presented to derive the community structure of phytoplankton at synoptic scales using satellite ocean-color data. There is a growing demand from the ecosystem modeling community to use these products for model evaluation and data assimilation. Yet, from the perspective of an ecosystem modeler these products are of limited use unless: (i) the phytoplankton products provided by the remote-sensing community match those required by the ecosystem modelers; and (ii) information on per-pixel uncertainty is provided to evaluate data quality. Using a large dataset collected in the North Atlantic, we re-tune a method to estimate the chlorophyll concentration of three phytoplankton groups, partitioned according to size [pico- (<2 μm), nano- (2–20 μm) and micro-phytoplankton (>20 μm)]. The method is modified to account for the influence of sea surface temperature, also available from satellite data, on model parameters and on the partitioning of microphyt.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14
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 TypeBest Practice
CitationBrewin, R.J.W., et al (2017) Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups. Frontiers in Marine Science. 4:104, 22pp. DOI: 10.3389/fmars.2017.00104
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