Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models
The article of record as published may be found at http://dx.doi.org/10.1002/2016JC011993 Upon publication, the in situ data will be available for academic purposes through the NASA SeaWiFS Bio-optical Archive and Storage System (http:// seabass.gsfc.nasa.gov/), including NPP, NO3, and Zeu. The rela...
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ftnavalpschool:oai:calhoun.nps.edu:10945/57111 2024-06-09T07:42:21+00:00 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. Aumount, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid H. Feldman, Doron Frouin, Robert Gehlen, Marion Gorguess, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jon Manizza, Manfredi Menkes, Christophe E. Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina E. Romanou, Anastasia Samuelsen, Annette Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Tremblay, L. Bruno Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Naval Postgraduate School (U.S.) Oceanography 2016-12 35 p. application/pdf https://hdl.handle.net/10945/57111 unknown AGU Publications Lee, Younjoo J., et al. "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 (2016): 8635-8669. https://hdl.handle.net/10945/57111 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Arctic models underestimated net primary productivity (NPP) but overestimated nitrate mixed layer depth and euphotic depth Arctic NPP model skill was greatest in low production regions Arctic NPP model skill was constrained by different environmental factors in different Arctic Ocean regions Article 2016 ftnavalpschool 2024-05-15T00:57:20Z The article of record as published may be found at http://dx.doi.org/10.1002/2016JC011993 Upon publication, the in situ data will be available for academic purposes through the NASA SeaWiFS Bio-optical Archive and Storage System (http:// seabass.gsfc.nasa.gov/), including NPP, NO3, and Zeu. 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 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. Ocean Biology and Biogeochemistry (OBB) NNX13AE81G NSF Office of Polar Programs PLR- 1417925 NSF Office of ... Article in Journal/Newspaper Arctic Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton Naval Postgraduate School: Calhoun Arctic Arctic Ocean Greenland |
institution |
Open Polar |
collection |
Naval Postgraduate School: Calhoun |
op_collection_id |
ftnavalpschool |
language |
unknown |
topic |
Arctic models underestimated net primary productivity (NPP) but overestimated nitrate mixed layer depth and euphotic depth Arctic NPP model skill was greatest in low production regions Arctic NPP model skill was constrained by different environmental factors in different Arctic Ocean regions |
spellingShingle |
Arctic models underestimated net primary productivity (NPP) but overestimated nitrate mixed layer depth and euphotic depth Arctic NPP model skill was greatest in low production regions Arctic NPP model skill was constrained by different environmental factors in different Arctic Ocean regions Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A.M. Saba, Vincent S. Aumount, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid H. Feldman, Doron Frouin, Robert Gehlen, Marion Gorguess, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jon Manizza, Manfredi Menkes, Christophe E. Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina E. Romanou, Anastasia Samuelsen, Annette Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Tremblay, L. Bruno Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models |
topic_facet |
Arctic models underestimated net primary productivity (NPP) but overestimated nitrate mixed layer depth and euphotic depth Arctic NPP model skill was greatest in low production regions Arctic NPP model skill was constrained by different environmental factors in different Arctic Ocean regions |
description |
The article of record as published may be found at http://dx.doi.org/10.1002/2016JC011993 Upon publication, the in situ data will be available for academic purposes through the NASA SeaWiFS Bio-optical Archive and Storage System (http:// seabass.gsfc.nasa.gov/), including NPP, NO3, and Zeu. 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 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. Ocean Biology and Biogeochemistry (OBB) NNX13AE81G NSF Office of Polar Programs PLR- 1417925 NSF Office of ... |
author2 |
Naval Postgraduate School (U.S.) Oceanography |
format |
Article in Journal/Newspaper |
author |
Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A.M. Saba, Vincent S. Aumount, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid H. Feldman, Doron Frouin, Robert Gehlen, Marion Gorguess, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jon Manizza, Manfredi Menkes, Christophe E. Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina E. Romanou, Anastasia Samuelsen, Annette Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Tremblay, L. Bruno Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun |
author_facet |
Lee, Younjoo J. Matrai, Patricia A. Friedrichs, Marjorie A.M. Saba, Vincent S. Aumount, Olivier Babin, Marcel Buitenhuis, Erik T. Chevallier, Matthieu de Mora, Lee Dessert, Morgane Dunne, John P. Ellingsen, Ingrid H. Feldman, Doron Frouin, Robert Gehlen, Marion Gorguess, Thomas Ilyina, Tatiana Jin, Meibing John, Jasmin G. Lawrence, Jon Manizza, Manfredi Menkes, Christophe E. Perruche, Coralie Le Fouest, Vincent Popova, Ekaterina E. Romanou, Anastasia Samuelsen, Annette Schwinger, Jörg Séférian, Roland Stock, Charles A. Tjiputra, Jerry Tremblay, L. Bruno Ueyoshi, Kyozo Vichi, Marcello Yool, Andrew Zhang, Jinlun |
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 |
publisher |
AGU Publications |
publishDate |
2016 |
url |
https://hdl.handle.net/10945/57111 |
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 |
Lee, Younjoo J., et al. "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 (2016): 8635-8669. https://hdl.handle.net/10945/57111 |
op_rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
_version_ |
1801371260459941888 |