Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean
The accuracy of three satellite models of primary production (PP) of varying complexity was assessed against 95 in situ 14C uptake measurements from the North East Atlantic Ocean (NEA). The models were run using the European Space Agency (ESA), Ocean Colour Climate Change Initiative (OC-CCI) version...
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ftdoajarticles:oai:doaj.org/article:8fcf254f777c4943b8e5ce8eb754e83c 2023-05-15T15:16:33+02:00 Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean Polina Lobanova Gavin H. Tilstone Igor Bashmachnikov Vanda Brotas 2018-07-01T00:00:00Z https://doi.org/10.3390/rs10071116 https://doaj.org/article/8fcf254f777c4943b8e5ce8eb754e83c EN eng MDPI AG http://www.mdpi.com/2072-4292/10/7/1116 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10071116 https://doaj.org/article/8fcf254f777c4943b8e5ce8eb754e83c Remote Sensing, Vol 10, Iss 7, p 1116 (2018) phytoplankton photosynthesis primary production North Atlantic Ocean ocean colour remote sensing Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10071116 2022-12-31T11:23:28Z The accuracy of three satellite models of primary production (PP) of varying complexity was assessed against 95 in situ 14C uptake measurements from the North East Atlantic Ocean (NEA). The models were run using the European Space Agency (ESA), Ocean Colour Climate Change Initiative (OC-CCI) version 3.0 data. The objectives of the study were to determine which is the most accurate PP model for the region in different provinces and seasons, what is the accuracy of the models using both high (daily) and low (weekly) temporal resolution OC-CCI data, and whether the performance of the models is improved by implementing a photoinhibition function? The Platt-Sathyendranath primary production model (PPPSM) was the most accurate over all NEA provinces and, specifically, in the Atlantic Arctic province (ARCT) and North Atlantic Drift (NADR) provinces. The implementation of a photoinhibition function in the PPPSM reduced its accuracy, especially at lower range PP. The Vertical Generalized Production Model-VGPM (PPVGPM) tended to over-estimate PP, especially in summer and in the NADR. The accuracy of PPVGPM improved with the implementation of a photoinhibition function in summer. The absorption model of primary production (PPAph), with and without photoinhibition, was the least accurate model for the NEA. Mapped images of each model showed that the PPVGPM was 150% higher in the NADR compared to PPPSM. In the North Atlantic Subtropical Gyre (NAST) province, PPAph was 355% higher than PPPSM, whereas PPVGPM was 215% higher. A sensitivity analysis indicated that chlorophyll-a (Chl a), or the absorption of phytoplankton, at 443 nm (aph (443)) caused the largest error in the estimation of PP, followed by the photosynthetic rate terms and then the irradiance functions used for each model. Article in Journal/Newspaper Arctic Atlantic Arctic Atlantic-Arctic Climate change North Atlantic North East Atlantic Phytoplankton Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 10 7 1116 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
phytoplankton photosynthesis primary production North Atlantic Ocean ocean colour remote sensing Science Q |
spellingShingle |
phytoplankton photosynthesis primary production North Atlantic Ocean ocean colour remote sensing Science Q Polina Lobanova Gavin H. Tilstone Igor Bashmachnikov Vanda Brotas Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
topic_facet |
phytoplankton photosynthesis primary production North Atlantic Ocean ocean colour remote sensing Science Q |
description |
The accuracy of three satellite models of primary production (PP) of varying complexity was assessed against 95 in situ 14C uptake measurements from the North East Atlantic Ocean (NEA). The models were run using the European Space Agency (ESA), Ocean Colour Climate Change Initiative (OC-CCI) version 3.0 data. The objectives of the study were to determine which is the most accurate PP model for the region in different provinces and seasons, what is the accuracy of the models using both high (daily) and low (weekly) temporal resolution OC-CCI data, and whether the performance of the models is improved by implementing a photoinhibition function? The Platt-Sathyendranath primary production model (PPPSM) was the most accurate over all NEA provinces and, specifically, in the Atlantic Arctic province (ARCT) and North Atlantic Drift (NADR) provinces. The implementation of a photoinhibition function in the PPPSM reduced its accuracy, especially at lower range PP. The Vertical Generalized Production Model-VGPM (PPVGPM) tended to over-estimate PP, especially in summer and in the NADR. The accuracy of PPVGPM improved with the implementation of a photoinhibition function in summer. The absorption model of primary production (PPAph), with and without photoinhibition, was the least accurate model for the NEA. Mapped images of each model showed that the PPVGPM was 150% higher in the NADR compared to PPPSM. In the North Atlantic Subtropical Gyre (NAST) province, PPAph was 355% higher than PPPSM, whereas PPVGPM was 215% higher. A sensitivity analysis indicated that chlorophyll-a (Chl a), or the absorption of phytoplankton, at 443 nm (aph (443)) caused the largest error in the estimation of PP, followed by the photosynthetic rate terms and then the irradiance functions used for each model. |
format |
Article in Journal/Newspaper |
author |
Polina Lobanova Gavin H. Tilstone Igor Bashmachnikov Vanda Brotas |
author_facet |
Polina Lobanova Gavin H. Tilstone Igor Bashmachnikov Vanda Brotas |
author_sort |
Polina Lobanova |
title |
Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
title_short |
Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
title_full |
Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
title_fullStr |
Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
title_full_unstemmed |
Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean |
title_sort |
accuracy assessment of primary production models with and without photoinhibition using ocean-colour climate change initiative data in the north east atlantic ocean |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10071116 https://doaj.org/article/8fcf254f777c4943b8e5ce8eb754e83c |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Atlantic Arctic Atlantic-Arctic Climate change North Atlantic North East Atlantic Phytoplankton |
genre_facet |
Arctic Atlantic Arctic Atlantic-Arctic Climate change North Atlantic North East Atlantic Phytoplankton |
op_source |
Remote Sensing, Vol 10, Iss 7, p 1116 (2018) |
op_relation |
http://www.mdpi.com/2072-4292/10/7/1116 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10071116 https://doaj.org/article/8fcf254f777c4943b8e5ce8eb754e83c |
op_doi |
https://doi.org/10.3390/rs10071116 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
7 |
container_start_page |
1116 |
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1766346849313095680 |