Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean
The differences among phytoplankton carbon (Cphy) predictions from six ocean color algorithms are investigated by comparison with in situ estimates of phytoplankton carbon. The common satellite data used as input for the algorithms is the Ocean Color Climate Change Initiative merged product. The mat...
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2017-12-01
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doaj-b10a52f04226457fa4b39a65f00652a32020-11-24T23:15:13ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452017-12-01410.3389/fmars.2017.00378265876Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the OceanVíctor Martínez-Vicente0Hayley Evers-King1Shovonlal Roy2Tihomir S. Kostadinov3Tihomir S. Kostadinov4Glen A. Tarran5Jason R. Graff6Robert J. W. Brewin7Robert J. W. Brewin8Giorgio Dall'Olmo9Giorgio Dall'Olmo10Tom Jackson11Anna E. Hickman12Rüdiger Röttgers13Hajo Krasemann14Emilio Marañón15Trevor Platt16Shubha Sathyendranath17Shubha Sathyendranath18Plymouth Marine Laboratory, Plymouth, United KingdomPlymouth Marine Laboratory, Plymouth, United KingdomDepartment of Geography and Environmental Sciences, School of Agriculture, Policy and Development, University of Reading, Reading, United KingdomDepartment of Geography and the Environment, University of Richmond, Richmond, VA, United StatesDivision of Hydrologic Sciences, Desert Research Institute, Reno, NV, United StatesPlymouth Marine Laboratory, Plymouth, United KingdomDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United StatesPlymouth Marine Laboratory, Plymouth, United KingdomPlymouth Marine Laboratory, National Centre for Earth Observation, Plymouth, United KingdomPlymouth Marine Laboratory, Plymouth, United KingdomPlymouth Marine Laboratory, National Centre for Earth Observation, Plymouth, United KingdomPlymouth Marine Laboratory, Plymouth, United KingdomOcean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton, United KingdomHelmholtz-Zentrum Geesthacht, Center for Materials and Coastal Research, Geesthacht, GermanyHelmholtz-Zentrum Geesthacht, Center for Materials and Coastal Research, Geesthacht, GermanyDepartamento de Ecología y Biología Animal, Universidade de Vigo, Vigo, SpainPlymouth Marine Laboratory, Plymouth, United KingdomPlymouth Marine Laboratory, Plymouth, United KingdomPlymouth Marine Laboratory, National Centre for Earth Observation, Plymouth, United KingdomThe differences among phytoplankton carbon (Cphy) predictions from six ocean color algorithms are investigated by comparison with in situ estimates of phytoplankton carbon. The common satellite data used as input for the algorithms is the Ocean Color Climate Change Initiative merged product. The matching in situ data are derived from flow cytometric cell counts and per-cell carbon estimates for different types of pico-phytoplankton. This combination of satellite and in situ data provides a relatively large matching dataset (N > 500), which is independent from most of the algorithms tested and spans almost two orders of magnitude in Cphy. Results show that not a single algorithm outperforms any of the other when using all matching data. Concentrating on the oligotrophic regions (Chlorophyll-a concentration, B, less than 0.15 mg Chl m−3), where flow cytometric analysis captures most of the phytoplankton biomass, reveals significant differences in algorithm performance. The bias ranges from −35 to +150% and unbiased root mean squared difference from 5 to 10 mg C m−3 among algorithms, with chlorophyll-based algorithms performing better than the rest. The backscattering-based algorithms produce different results at the clearest waters and these differences are discussed in terms of the different algorithms used for optical particle backscattering coefficient (bbp) retrieval.http://journal.frontiersin.org/article/10.3389/fmars.2017.00378/fullphytoplankton carboncarbon-to-chlorophyllocean color remote sensingpicophytoplanktonflow cytometryoptical water class |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Víctor Martínez-Vicente Hayley Evers-King Shovonlal Roy Tihomir S. Kostadinov Tihomir S. Kostadinov Glen A. Tarran Jason R. Graff Robert J. W. Brewin Robert J. W. Brewin Giorgio Dall'Olmo Giorgio Dall'Olmo Tom Jackson Anna E. Hickman Rüdiger Röttgers Hajo Krasemann Emilio Marañón Trevor Platt Shubha Sathyendranath Shubha Sathyendranath |
spellingShingle |
Víctor Martínez-Vicente Hayley Evers-King Shovonlal Roy Tihomir S. Kostadinov Tihomir S. Kostadinov Glen A. Tarran Jason R. Graff Robert J. W. Brewin Robert J. W. Brewin Giorgio Dall'Olmo Giorgio Dall'Olmo Tom Jackson Anna E. Hickman Rüdiger Röttgers Hajo Krasemann Emilio Marañón Trevor Platt Shubha Sathyendranath Shubha Sathyendranath Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean Frontiers in Marine Science phytoplankton carbon carbon-to-chlorophyll ocean color remote sensing picophytoplankton flow cytometry optical water class |
author_facet |
Víctor Martínez-Vicente Hayley Evers-King Shovonlal Roy Tihomir S. Kostadinov Tihomir S. Kostadinov Glen A. Tarran Jason R. Graff Robert J. W. Brewin Robert J. W. Brewin Giorgio Dall'Olmo Giorgio Dall'Olmo Tom Jackson Anna E. Hickman Rüdiger Röttgers Hajo Krasemann Emilio Marañón Trevor Platt Shubha Sathyendranath Shubha Sathyendranath |
author_sort |
Víctor Martínez-Vicente |
title |
Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean |
title_short |
Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean |
title_full |
Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean |
title_fullStr |
Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean |
title_full_unstemmed |
Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean |
title_sort |
intercomparison of ocean color algorithms for picophytoplankton carbon in the ocean |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2017-12-01 |
description |
The differences among phytoplankton carbon (Cphy) predictions from six ocean color algorithms are investigated by comparison with in situ estimates of phytoplankton carbon. The common satellite data used as input for the algorithms is the Ocean Color Climate Change Initiative merged product. The matching in situ data are derived from flow cytometric cell counts and per-cell carbon estimates for different types of pico-phytoplankton. This combination of satellite and in situ data provides a relatively large matching dataset (N > 500), which is independent from most of the algorithms tested and spans almost two orders of magnitude in Cphy. Results show that not a single algorithm outperforms any of the other when using all matching data. Concentrating on the oligotrophic regions (Chlorophyll-a concentration, B, less than 0.15 mg Chl m−3), where flow cytometric analysis captures most of the phytoplankton biomass, reveals significant differences in algorithm performance. The bias ranges from −35 to +150% and unbiased root mean squared difference from 5 to 10 mg C m−3 among algorithms, with chlorophyll-based algorithms performing better than the rest. The backscattering-based algorithms produce different results at the clearest waters and these differences are discussed in terms of the different algorithms used for optical particle backscattering coefficient (bbp) retrieval. |
topic |
phytoplankton carbon carbon-to-chlorophyll ocean color remote sensing picophytoplankton flow cytometry optical water class |
url |
http://journal.frontiersin.org/article/10.3389/fmars.2017.00378/full |
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