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 (Z(eu)), and sea ice conce...
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ftird:oai:ird.fr:fdi:010068950 2023-05-15T14:28:05+02:00 Net primary productivity estimates and environmental variables in the Arctic Ocean : an assessment of coupled physical-biogeochemical models Lee, Y. J. Matrai, P. A. Friedrichs, M. A. M. Saba, V. S. Aumont, Olivier Babin, M. Buitenhuis, E. T. Chevallier, M. de Mora, L. Dessert, M. Dunne, J. P. Ellingsen, I. H. Feldman, D. Frouin, R. Gehlen, M. Gorgues, Thomas Ilyina, T. Jin, M. B. John, J. G. Lawrence, J. Manizza, M. Menkès, Christophe Perruche, C. Le Fouest, V. Popova, E. E. Romanou, A. Samuelsen, A. Schwinger, J. Seferian, R. Stock, C. A. Tjiputra, J. Tremblay, B. Ueyoshi, K. Vichi, M. Yool, A. Zhang, J. L. ARCTIQUE 2016 http://www.documentation.ird.fr/hor/fdi:010068950 EN eng http://www.documentation.ird.fr/hor/fdi:010068950 oai:ird.fr:fdi:010068950 Lee Y. J., Matrai P. A., Friedrichs M. A. M., Saba V. S., Aumont Olivier, Babin M., Buitenhuis E. T., Chevallier M., de Mora L., Dessert M., Dunne J. P., Ellingsen I. H., Feldman D., Frouin R., Gehlen M., Gorgues Thomas, Ilyina T., Jin M. B., John J. G., Lawrence J., Manizza M., Menkès Christophe, Perruche C., Le Fouest V., Popova E. E., Romanou A., Samuelsen A., Schwinger J., Seferian R., Stock C. A., Tjiputra J., Tremblay B., Ueyoshi K., Vichi M., Yool A., Zhang J. L. Net primary productivity estimates and environmental variables in the Arctic Ocean : an assessment of coupled physical-biogeochemical models. Journal of Geophysical Research : Oceans, 2016, 121 (12), p. 8635-8669. text 2016 ftird 2020-08-21T06:51:08Z 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 (Z(eu)), 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 Z(eu) throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free versus ice-influenced) and bottom depth (shelf versus deep ocean). The models performed relatively well for the most recent decade and toward 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. Text Arctic Arctic Basin Arctic Arctic Ocean Arctique* Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton IRD (Institute de recherche pour le développement): Horizon Arctic Arctic Ocean Greenland |
institution |
Open Polar |
collection |
IRD (Institute de recherche pour le développement): Horizon |
op_collection_id |
ftird |
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 (Z(eu)), 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 Z(eu) throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free versus ice-influenced) and bottom depth (shelf versus deep ocean). The models performed relatively well for the most recent decade and toward 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 |
Text |
author |
Lee, Y. J. Matrai, P. A. Friedrichs, M. A. M. Saba, V. S. Aumont, Olivier Babin, M. Buitenhuis, E. T. Chevallier, M. de Mora, L. Dessert, M. Dunne, J. P. Ellingsen, I. H. Feldman, D. Frouin, R. Gehlen, M. Gorgues, Thomas Ilyina, T. Jin, M. B. John, J. G. Lawrence, J. Manizza, M. Menkès, Christophe Perruche, C. Le Fouest, V. Popova, E. E. Romanou, A. Samuelsen, A. Schwinger, J. Seferian, R. Stock, C. A. Tjiputra, J. Tremblay, B. Ueyoshi, K. Vichi, M. Yool, A. Zhang, J. L. |
spellingShingle |
Lee, Y. J. Matrai, P. A. Friedrichs, M. A. M. Saba, V. S. Aumont, Olivier Babin, M. Buitenhuis, E. T. Chevallier, M. de Mora, L. Dessert, M. Dunne, J. P. Ellingsen, I. H. Feldman, D. Frouin, R. Gehlen, M. Gorgues, Thomas Ilyina, T. Jin, M. B. John, J. G. Lawrence, J. Manizza, M. Menkès, Christophe Perruche, C. Le Fouest, V. Popova, E. E. Romanou, A. Samuelsen, A. Schwinger, J. Seferian, R. Stock, C. A. Tjiputra, J. Tremblay, B. Ueyoshi, K. Vichi, M. Yool, A. Zhang, J. L. Net primary productivity estimates and environmental variables in the Arctic Ocean : an assessment of coupled physical-biogeochemical models |
author_facet |
Lee, Y. J. Matrai, P. A. Friedrichs, M. A. M. Saba, V. S. Aumont, Olivier Babin, M. Buitenhuis, E. T. Chevallier, M. de Mora, L. Dessert, M. Dunne, J. P. Ellingsen, I. H. Feldman, D. Frouin, R. Gehlen, M. Gorgues, Thomas Ilyina, T. Jin, M. B. John, J. G. Lawrence, J. Manizza, M. Menkès, Christophe Perruche, C. Le Fouest, V. Popova, E. E. Romanou, A. Samuelsen, A. Schwinger, J. Seferian, R. Stock, C. A. Tjiputra, J. Tremblay, B. Ueyoshi, K. Vichi, M. Yool, A. Zhang, J. L. |
author_sort |
Lee, Y. 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 |
http://www.documentation.ird.fr/hor/fdi:010068950 |
op_coverage |
ARCTIQUE |
geographic |
Arctic Arctic Ocean Greenland |
geographic_facet |
Arctic Arctic Ocean Greenland |
genre |
Arctic Arctic Basin Arctic Arctic Ocean Arctique* Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
genre_facet |
Arctic Arctic Basin Arctic Arctic Ocean Arctique* Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
op_relation |
http://www.documentation.ird.fr/hor/fdi:010068950 oai:ird.fr:fdi:010068950 Lee Y. J., Matrai P. A., Friedrichs M. A. M., Saba V. S., Aumont Olivier, Babin M., Buitenhuis E. T., Chevallier M., de Mora L., Dessert M., Dunne J. P., Ellingsen I. H., Feldman D., Frouin R., Gehlen M., Gorgues Thomas, Ilyina T., Jin M. B., John J. G., Lawrence J., Manizza M., Menkès Christophe, Perruche C., Le Fouest V., Popova E. E., Romanou A., Samuelsen A., Schwinger J., Seferian R., Stock C. A., Tjiputra J., Tremblay B., Ueyoshi K., Vichi M., Yool A., Zhang J. L. Net primary productivity estimates and environmental variables in the Arctic Ocean : an assessment of coupled physical-biogeochemical models. Journal of Geophysical Research : Oceans, 2016, 121 (12), p. 8635-8669. |
_version_ |
1766302215098597376 |