Uncertainty in ocean-colour estimates of chlorophyll for phytoplankton groups

Brewin, RJW; Ciavatta, S; Sathyendranath, S; Jackson, T; Tilstone, GH; Curran, K; Airs, RL; Cummings, DG; Brotas, V; Organelli, E; Dall’Olmo, G; Raitsos, DE. 2017 Uncertainty in ocean-colour estimates of chlorophyll for phytoplankton groups. Frontiers in Marine Science, 4 (104). https://doi.org/10.3389/fmars.2017.00104

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Abstract/Summary

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 microphytoplankton into diatoms and dinoflagellates, such that the phytoplankton groups provided match those simulated in a state of the art marine ecosystem model (the European Regional Seas Ecosystem Model, ERSEM). The method is validated using another dataset, independent of the data used to parameterize the method, of more than 800 satellite and in situ match-ups. Using fuzzy-logic techniques for deriving per-pixel uncertainty, developed within the ESA Ocean Colour Climate Change Initiative (OC-CCI), the match-up dataset is used to derive the root mean square error and the bias between in situ and satellite estimates of the chlorophyll for each phytoplankton group, for 14 different optical water types (OWT). These values are then used with satellite estimates of OWTs to map uncertainty in chlorophyll on a per pixel basis for each phytoplankton group. It is envisaged these satellite products will be useful for those working on the validation of, and assimilation of data into, marine ecosystem models that simulate different phytoplankton groups.

Item Type: Publication - Article
Subjects: Biology
Earth Observation - Remote Sensing
Ecology and Environment
Marine Sciences
Divisions: Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications
Depositing User: Robert Brewin
Date made live: 16 Aug 2017 14:26
Last Modified: 03 Dec 2018 12:41
URI: http://plymsea.ac.uk/id/eprint/7487

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