OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data
Chlorophyll- a (Chl- a ) underestimation by global satellite algorithms in the Southern Ocean has long been reported, reducing their accuracy, and limiting the potential for evaluating phytoplankton biomass. As a result, several regional Chl- a algorithms have been proposed. The present work aims at...
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ftdoajarticles:oai:doaj.org/article:c0b0e8d2b3ac49f48cb03c5c4b028ddd 2023-05-15T14:06:26+02:00 OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data Afonso Ferreira Ana C. Brito Carlos R. B. Mendes Vanda Brotas Raul R. Costa Catarina V. Guerreiro Carolina Sá Thomas Jackson 2022-02-01T00:00:00Z https://doi.org/10.3390/rs14051052 https://doaj.org/article/c0b0e8d2b3ac49f48cb03c5c4b028ddd EN eng MDPI AG https://www.mdpi.com/2072-4292/14/5/1052 https://doaj.org/toc/2072-4292 doi:10.3390/rs14051052 2072-4292 https://doaj.org/article/c0b0e8d2b3ac49f48cb03c5c4b028ddd Remote Sensing, Vol 14, Iss 1052, p 1052 (2022) ocean colour Chl- a Antarctic Peninsula OC-CCI phytoplankton Southern Ocean Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14051052 2022-12-31T16:14:31Z Chlorophyll- a (Chl- a ) underestimation by global satellite algorithms in the Southern Ocean has long been reported, reducing their accuracy, and limiting the potential for evaluating phytoplankton biomass. As a result, several regional Chl- a algorithms have been proposed. The present work aims at assessing the performance of both global and regional satellite algorithms that are currently available for the Western Antarctic Peninsula (WAP) and investigate which factors are contributing to the underestimation of Chl- a . Our study indicates that a global algorithm, on average, underestimates in-situ Chl- a by ~59%, although underestimation was only observed for waters with Chl- a > 0.5 mg m −3 . In high Chl- a waters (>1 mg m −3 ), Chl- a underestimation rose to nearly 80%. Contrary to previous studies, no clear link was found between Chl- a underestimation and the pigment packaging effect, nor with the phytoplankton community composition and sea ice contamination. Based on multi-sensor satellite data and the most comprehensive in-situ dataset ever collected from the WAP, a new, more accurate satellite Chl- a algorithm is proposed: the OC4-SO. The OC4-SO has great potential to become an important tool not only for the ocean colour community, but also for an effective monitoring of the phytoplankton communities in a climatically sensitive region where in-situ data are scarce. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Sea ice Southern Ocean Directory of Open Access Journals: DOAJ Articles Antarctic Southern Ocean Antarctic Peninsula Remote Sensing 14 5 1052 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
ocean colour Chl- a Antarctic Peninsula OC-CCI phytoplankton Southern Ocean Science Q |
spellingShingle |
ocean colour Chl- a Antarctic Peninsula OC-CCI phytoplankton Southern Ocean Science Q Afonso Ferreira Ana C. Brito Carlos R. B. Mendes Vanda Brotas Raul R. Costa Catarina V. Guerreiro Carolina Sá Thomas Jackson OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
topic_facet |
ocean colour Chl- a Antarctic Peninsula OC-CCI phytoplankton Southern Ocean Science Q |
description |
Chlorophyll- a (Chl- a ) underestimation by global satellite algorithms in the Southern Ocean has long been reported, reducing their accuracy, and limiting the potential for evaluating phytoplankton biomass. As a result, several regional Chl- a algorithms have been proposed. The present work aims at assessing the performance of both global and regional satellite algorithms that are currently available for the Western Antarctic Peninsula (WAP) and investigate which factors are contributing to the underestimation of Chl- a . Our study indicates that a global algorithm, on average, underestimates in-situ Chl- a by ~59%, although underestimation was only observed for waters with Chl- a > 0.5 mg m −3 . In high Chl- a waters (>1 mg m −3 ), Chl- a underestimation rose to nearly 80%. Contrary to previous studies, no clear link was found between Chl- a underestimation and the pigment packaging effect, nor with the phytoplankton community composition and sea ice contamination. Based on multi-sensor satellite data and the most comprehensive in-situ dataset ever collected from the WAP, a new, more accurate satellite Chl- a algorithm is proposed: the OC4-SO. The OC4-SO has great potential to become an important tool not only for the ocean colour community, but also for an effective monitoring of the phytoplankton communities in a climatically sensitive region where in-situ data are scarce. |
format |
Article in Journal/Newspaper |
author |
Afonso Ferreira Ana C. Brito Carlos R. B. Mendes Vanda Brotas Raul R. Costa Catarina V. Guerreiro Carolina Sá Thomas Jackson |
author_facet |
Afonso Ferreira Ana C. Brito Carlos R. B. Mendes Vanda Brotas Raul R. Costa Catarina V. Guerreiro Carolina Sá Thomas Jackson |
author_sort |
Afonso Ferreira |
title |
OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
title_short |
OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
title_full |
OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
title_fullStr |
OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
title_full_unstemmed |
OC4-SO: A New Chlorophyll- a Algorithm for the Western Antarctic Peninsula Using Multi-Sensor Satellite Data |
title_sort |
oc4-so: a new chlorophyll- a algorithm for the western antarctic peninsula using multi-sensor satellite data |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14051052 https://doaj.org/article/c0b0e8d2b3ac49f48cb03c5c4b028ddd |
geographic |
Antarctic Southern Ocean Antarctic Peninsula |
geographic_facet |
Antarctic Southern Ocean Antarctic Peninsula |
genre |
Antarc* Antarctic Antarctic Peninsula Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Sea ice Southern Ocean |
op_source |
Remote Sensing, Vol 14, Iss 1052, p 1052 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/5/1052 https://doaj.org/toc/2072-4292 doi:10.3390/rs14051052 2072-4292 https://doaj.org/article/c0b0e8d2b3ac49f48cb03c5c4b028ddd |
op_doi |
https://doi.org/10.3390/rs14051052 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
5 |
container_start_page |
1052 |
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1766278147391619072 |