The University of Southampton
University of Southampton Institutional Repository

Intercomparison of ocean color algorithms for picophytoplankton carbon in the ocean

Intercomparison of ocean color algorithms for picophytoplankton carbon in the ocean
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 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.
2296-7745
Martinez-Vicente, Victor
af805a71-5277-487a-b3dc-63d1289ef7ed
Evers-King, Hayley L.
8cf2fb72-1b5c-4d07-abec-667b8a0e5fef
Roy, Shovonlal
e666eef6-02d8-4e39-bd06-2402d3cf77ec
Kostadinov, Tihomir S.
9836ac9d-0d54-476f-974d-b4e0fc258e62
Tarran, Glen A.
2784c8a8-2827-4403-a83b-2c12131c0998
Graff, Jason R.
4aefed39-f67a-447d-af2f-323e530447b1
Brewin, Robert J.W.
ba552a41-863e-495e-8739-be91409e6dec
Dall'Olmo, Georgio
9f4c8dad-d4ba-4a00-84bb-978e203584cf
Jackson, Tom
f337341e-251e-43e3-9946-d1622d4958e6
Hickman, Anna E.
a99786c6-65e6-48c8-8b58-0d3b5608be92
Rottgers, Rudiger
fd35f0e5-e151-4eee-bf20-bb03de64c296
Krasemann, Hajo
4fe5995d-471d-43fe-8bc4-7d2436d7a5d8
Marañón, Emilio
a16cde2f-67db-4426-bab5-b3ae8e95311e
Platt, Trevor
0fd634ff-4484-497e-9167-d618ebdb641d
Sathyendranath, Shubba
0a5c5648-0eb9-4dc6-95b2-ed610e143d8e
Martinez-Vicente, Victor
af805a71-5277-487a-b3dc-63d1289ef7ed
Evers-King, Hayley L.
8cf2fb72-1b5c-4d07-abec-667b8a0e5fef
Roy, Shovonlal
e666eef6-02d8-4e39-bd06-2402d3cf77ec
Kostadinov, Tihomir S.
9836ac9d-0d54-476f-974d-b4e0fc258e62
Tarran, Glen A.
2784c8a8-2827-4403-a83b-2c12131c0998
Graff, Jason R.
4aefed39-f67a-447d-af2f-323e530447b1
Brewin, Robert J.W.
ba552a41-863e-495e-8739-be91409e6dec
Dall'Olmo, Georgio
9f4c8dad-d4ba-4a00-84bb-978e203584cf
Jackson, Tom
f337341e-251e-43e3-9946-d1622d4958e6
Hickman, Anna E.
a99786c6-65e6-48c8-8b58-0d3b5608be92
Rottgers, Rudiger
fd35f0e5-e151-4eee-bf20-bb03de64c296
Krasemann, Hajo
4fe5995d-471d-43fe-8bc4-7d2436d7a5d8
Marañón, Emilio
a16cde2f-67db-4426-bab5-b3ae8e95311e
Platt, Trevor
0fd634ff-4484-497e-9167-d618ebdb641d
Sathyendranath, Shubba
0a5c5648-0eb9-4dc6-95b2-ed610e143d8e

Martinez-Vicente, Victor, Evers-King, Hayley L., Roy, Shovonlal, Kostadinov, Tihomir S., Tarran, Glen A., Graff, Jason R., Brewin, Robert J.W., Dall'Olmo, Georgio, Jackson, Tom, Hickman, Anna E., Rottgers, Rudiger, Krasemann, Hajo, Marañón, Emilio, Platt, Trevor and Sathyendranath, Shubba (2017) Intercomparison of ocean color algorithms for picophytoplankton carbon in the ocean. Frontiers in Marine Science, 4. (doi:10.3389/fmars.2017.00378).

Record type: Article

Abstract

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.

Text
fmars-04-00378 - Version of Record
Available under License Creative Commons Attribution.
Download (7MB)

More information

Accepted/In Press date: 10 November 2017
e-pub ahead of print date: 11 December 2017
Published date: 11 December 2017

Identifiers

Local EPrints ID: 417177
URI: https://eprints.soton.ac.uk/id/eprint/417177
ISSN: 2296-7745
PURE UUID: f099ad8b-bbc1-481d-87d2-9f3a59c9f3b0
ORCID for Anna E. Hickman: ORCID iD orcid.org/0000-0002-2774-3934

Catalogue record

Date deposited: 23 Jan 2018 17:30
Last modified: 03 Dec 2019 01:38

Export record

Altmetrics

Contributors

Author: Victor Martinez-Vicente
Author: Hayley L. Evers-King
Author: Shovonlal Roy
Author: Tihomir S. Kostadinov
Author: Glen A. Tarran
Author: Jason R. Graff
Author: Robert J.W. Brewin
Author: Georgio Dall'Olmo
Author: Tom Jackson
Author: Anna E. Hickman ORCID iD
Author: Rudiger Rottgers
Author: Hajo Krasemann
Author: Emilio Marañón
Author: Trevor Platt
Author: Shubba Sathyendranath

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×