dc.contributor.author | Evers-King, Hayley | |
dc.contributor.author | Martinez-Vicente, Victor | |
dc.contributor.author | Brewin, Robert J. W. | |
dc.contributor.author | Dall’Olmo, Giorgio | |
dc.contributor.author | Hickman, Anna E. | |
dc.contributor.author | Jackson, Thomas | |
dc.contributor.author | Kostadinov, Tihomir S. | |
dc.contributor.author | Krasemann, Hajo | |
dc.contributor.author | Loisel, Hubert | |
dc.contributor.author | Röttgers, Rüdiger | |
dc.contributor.author | Roy, Shovonlal | |
dc.contributor.author | Stramski, Dariusz | |
dc.contributor.author | Thomalla, Sandy | |
dc.contributor.author | Platt, Trevor | |
dc.contributor.author | Sathyendranath, Shubha | |
dc.date.accessioned | 2020-11-02T20:09:28Z | |
dc.date.available | 2020-11-02T20:09:28Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Evers-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 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/1438 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-941 | |
dc.description.abstract | 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 algorithms (highest performance was observed from the
algorithms of Loisel et al., 2002; Stramski et al., 2008) and uncertainties that are within the
requirements of the user community. Estimates of the standing stock of the POC can be
made by applying these algorithms, and yield an estimated mixed-layer integrated global
stock of POC between 0.77 and 1.3 Pg C of carbon. Performance of the algorithms vary
regionally, suggesting that blending of region-specific algorithms may provide the best
way forward for generating global POC products. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Satellite ocean colour | en_US |
dc.subject.other | Particulate organic carbon | en_US |
dc.subject.other | Algorithms | en_US |
dc.subject.other | Bio-optical algorithms | en_US |
dc.subject.other | Essential climate variables (ECV) | en_US |
dc.title | Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 20pp. | en_US |
dc.identifier.doi | 10.3389/fmars.2017.00251 | |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography::Phytoplankton | en_US |
dc.subject.dmProcesses | Data Management Practices::Data acquisition | en_US |
dc.bibliographicCitation.title | Frontiers in Marine Science | en_US |
dc.bibliographicCitation.volume | 4 | en_US |
dc.bibliographicCitation.issue | Article 251 | en_US |
dc.description.sdg | 14.A | en_US |
dc.description.eov | Phytoplankton biomass and diversity | en_US |
dc.description.eov | Particulate matter | en_US |
dc.description.eov | Ocean colour | en_US |
dc.description.maturitylevel | TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) | en_US |
dc.description.bptype | Manual (incl. handbook, guide, cookbook etc) | en_US |
obps.contact.contactname | Hayley Evers-King | |
obps.contact.contactemail | hek@pml.ac.uk | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fmars.2017.00251/full | en_US |