Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models
The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Zeu), and sea ice concent...
Published in: | Journal of Geophysical Research: Oceans |
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2016
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Online Access: | https://ueaeprints.uea.ac.uk/id/eprint/61422/ https://ueaeprints.uea.ac.uk/id/eprint/61422/4/Published_manuscript.pdf https://doi.org/10.1002/2016JC011993 |
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ftuniveastangl:oai:ueaeprints.uea.ac.uk:61422 2023-06-06T11:48:40+02:00 Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A. M. Saba, Vincent S. Aumont, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid Feldman, Doron Frouin, Robert Gehlen, Marion Gorgues, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jonathan Manizza, Manfredi Menkes, Christophe Eugène Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina Romanou, Anastasia Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Bruno Tremblay, L. Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Samuelsen, Annette 2016-12 application/pdf https://ueaeprints.uea.ac.uk/id/eprint/61422/ https://ueaeprints.uea.ac.uk/id/eprint/61422/4/Published_manuscript.pdf https://doi.org/10.1002/2016JC011993 en eng https://ueaeprints.uea.ac.uk/id/eprint/61422/4/Published_manuscript.pdf Lee, Younjoo J., Matrai, Patricia A., Friedrichs, Marjorie A. M., Saba, Vincent S., Aumont, Olivier, Babin, Marcel, Buitenhuis, Erik T., Chevallier, Matthieu, de Mora, Lee, Dessert, Morgane, Dunne, John P., Ellingsen, Ingrid, Feldman, Doron, Frouin, Robert, Gehlen, Marion, Gorgues, Thomas, Ilyina, Tatiana, Jin, Meibing, John, Jasmin G., Lawrence, Jonathan, Manizza, Manfredi, Menkes, Christophe Eugène, Perruche, Coralie, Le Fouest, Vincent, Popova, Ekaterina, Romanou, Anastasia, Schwinger, Jörg, Séférian, Roland, Stock, Charles A., Tjiputra, Jerry, Bruno Tremblay, L., Ueyoshi, Kyozo, Vichi, Marcello, Yool, Andrew, Zhang, Jinlun and Samuelsen, Annette (2016) Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models. Journal of Geophysical Research - Oceans, 121 (12). 8635–8669. ISSN 2169-9275 doi:10.1002/2016JC011993 Article PeerReviewed 2016 ftuniveastangl https://doi.org/10.1002/2016JC011993 2023-04-13T22:31:58Z The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Zeu), and sea ice concentration, by comparing results against a newly updated, quality-controlled in situ NPP database for the Arctic Ocean (1959-2011). The models broadly captured the spatial features of integrated NPP (iNPP) on a pan-Arctic scale. Most models underestimated iNPP by varying degrees in spite of overestimating surface NO3, MLD, and Zeu throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free vs. ice-influenced) and bottom depth (shelf vs. deep ocean). The models performed relatively well for the most recent decade and towards the end of Arctic summer. In the Barents and Greenland Seas, regional model skill of surface NO3 was best associated with how well MLD was reproduced. . Regionally, iNPP was relatively well simulated in the Beaufort Sea and the central Arctic Basin, where in situ NPP is low and nutrients are mostly depleted. Models performed less well at simulating iNPP in the Greenland and Chukchi Seas, despite the higher model skill in MLD and sea ice concentration, respectively. iNPP model skill was constrained by different factors in different Arctic Ocean regions. Our study suggests that better parameterization of biological and ecological microbial rates (phytoplankton growth and zooplankton grazing) are needed for improved Arctic Ocean biogeochemical modeling. Article in Journal/Newspaper Arctic Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton University of East Anglia: UEA Digital Repository Arctic Arctic Ocean Greenland Journal of Geophysical Research: Oceans 121 12 8635 8669 |
institution |
Open Polar |
collection |
University of East Anglia: UEA Digital Repository |
op_collection_id |
ftuniveastangl |
language |
English |
description |
The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Zeu), and sea ice concentration, by comparing results against a newly updated, quality-controlled in situ NPP database for the Arctic Ocean (1959-2011). The models broadly captured the spatial features of integrated NPP (iNPP) on a pan-Arctic scale. Most models underestimated iNPP by varying degrees in spite of overestimating surface NO3, MLD, and Zeu throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free vs. ice-influenced) and bottom depth (shelf vs. deep ocean). The models performed relatively well for the most recent decade and towards the end of Arctic summer. In the Barents and Greenland Seas, regional model skill of surface NO3 was best associated with how well MLD was reproduced. . Regionally, iNPP was relatively well simulated in the Beaufort Sea and the central Arctic Basin, where in situ NPP is low and nutrients are mostly depleted. Models performed less well at simulating iNPP in the Greenland and Chukchi Seas, despite the higher model skill in MLD and sea ice concentration, respectively. iNPP model skill was constrained by different factors in different Arctic Ocean regions. Our study suggests that better parameterization of biological and ecological microbial rates (phytoplankton growth and zooplankton grazing) are needed for improved Arctic Ocean biogeochemical modeling. |
format |
Article in Journal/Newspaper |
author |
Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A. M. Saba, Vincent S. Aumont, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid Feldman, Doron Frouin, Robert Gehlen, Marion Gorgues, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jonathan Manizza, Manfredi Menkes, Christophe Eugène Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina Romanou, Anastasia Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Bruno Tremblay, L. Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Samuelsen, Annette |
spellingShingle |
Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A. M. Saba, Vincent S. Aumont, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid Feldman, Doron Frouin, Robert Gehlen, Marion Gorgues, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jonathan Manizza, Manfredi Menkes, Christophe Eugène Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina Romanou, Anastasia Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Bruno Tremblay, L. Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Samuelsen, Annette Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
author_facet |
Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A. M. Saba, Vincent S. Aumont, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid Feldman, Doron Frouin, Robert Gehlen, Marion Gorgues, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jonathan Manizza, Manfredi Menkes, Christophe Eugène Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina Romanou, Anastasia Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Bruno Tremblay, L. Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Samuelsen, Annette |
author_sort |
Lee, Younjoo J. |
title |
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
title_short |
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
title_full |
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
title_fullStr |
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
title_full_unstemmed |
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
title_sort |
net primary productivity estimates and environmental variables in the arctic ocean: an assessment of coupled physical-biogeochemical models |
publishDate |
2016 |
url |
https://ueaeprints.uea.ac.uk/id/eprint/61422/ https://ueaeprints.uea.ac.uk/id/eprint/61422/4/Published_manuscript.pdf https://doi.org/10.1002/2016JC011993 |
geographic |
Arctic Arctic Ocean Greenland |
geographic_facet |
Arctic Arctic Ocean Greenland |
genre |
Arctic Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
genre_facet |
Arctic Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
op_relation |
https://ueaeprints.uea.ac.uk/id/eprint/61422/4/Published_manuscript.pdf Lee, Younjoo J., Matrai, Patricia A., Friedrichs, Marjorie A. M., Saba, Vincent S., Aumont, Olivier, Babin, Marcel, Buitenhuis, Erik T., Chevallier, Matthieu, de Mora, Lee, Dessert, Morgane, Dunne, John P., Ellingsen, Ingrid, Feldman, Doron, Frouin, Robert, Gehlen, Marion, Gorgues, Thomas, Ilyina, Tatiana, Jin, Meibing, John, Jasmin G., Lawrence, Jonathan, Manizza, Manfredi, Menkes, Christophe Eugène, Perruche, Coralie, Le Fouest, Vincent, Popova, Ekaterina, Romanou, Anastasia, Schwinger, Jörg, Séférian, Roland, Stock, Charles A., Tjiputra, Jerry, Bruno Tremblay, L., Ueyoshi, Kyozo, Vichi, Marcello, Yool, Andrew, Zhang, Jinlun and Samuelsen, Annette (2016) Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models. Journal of Geophysical Research - Oceans, 121 (12). 8635–8669. ISSN 2169-9275 doi:10.1002/2016JC011993 |
op_doi |
https://doi.org/10.1002/2016JC011993 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
121 |
container_issue |
12 |
container_start_page |
8635 |
op_container_end_page |
8669 |
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1767954352457121792 |