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 (NO (sub 3) ), mixed layer depth (MLD), euphotic layer depth (Z (sub eu) ), and...
Published in: | Journal of Geophysical Research: Oceans |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | unknown |
Published: |
W&M ScholarWorks
2016
|
Subjects: | |
Online Access: | https://scholarworks.wm.edu/vimsarticles/1837 https://scholarworks.wm.edu/context/vimsarticles/article/2836/viewcontent/Lee_et_al_2016_Journal_of_Geophysical_Research__Oceans.pdf |
id |
ftwilliammarycol:oai:scholarworks.wm.edu:vimsarticles-2836 |
---|---|
record_format |
openpolar |
spelling |
ftwilliammarycol:oai:scholarworks.wm.edu:vimsarticles-2836 2023-06-11T04:07:55+02:00 Net primary productivity estimates and environmental variables in the Arctic Ocean; an assessment of coupled physical-biogeochemical models Lee, Younjoo J. Matrai, Patrica A. Friedrichs, Marjorie A.M. 2016-12-01T08:00:00Z application/pdf https://scholarworks.wm.edu/vimsarticles/1837 doi: 10.1002/2016JC011993 https://scholarworks.wm.edu/context/vimsarticles/article/2836/viewcontent/Lee_et_al_2016_Journal_of_Geophysical_Research__Oceans.pdf unknown W&M ScholarWorks https://scholarworks.wm.edu/vimsarticles/1837 doi: 10.1002/2016JC011993 https://scholarworks.wm.edu/context/vimsarticles/article/2836/viewcontent/Lee_et_al_2016_Journal_of_Geophysical_Research__Oceans.pdf http://creativecommons.org/licenses/by-nd/4.0/ VIMS Articles Arctic Ocean biochemistry concentration data processing digital simulation ice Mid-Arctic Ocean Ridge Biological Sciences Peer-Reviewed Articles Oceanography text 2016 ftwilliammarycol https://doi.org/10.1002/2016JC011993 2023-05-04T17:46:35Z 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 (NO (sub 3) ), mixed layer depth (MLD), euphotic layer depth (Z (sub 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 NO (sub 3) , MLD, and Z (sub 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 NO (sub 3) 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 Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton W&M ScholarWorks Arctic Arctic Ocean Greenland Journal of Geophysical Research: Oceans 121 12 8635 8669 |
institution |
Open Polar |
collection |
W&M ScholarWorks |
op_collection_id |
ftwilliammarycol |
language |
unknown |
topic |
Arctic Ocean biochemistry concentration data processing digital simulation ice Mid-Arctic Ocean Ridge Biological Sciences Peer-Reviewed Articles Oceanography |
spellingShingle |
Arctic Ocean biochemistry concentration data processing digital simulation ice Mid-Arctic Ocean Ridge Biological Sciences Peer-Reviewed Articles Oceanography Lee, Younjoo J. Matrai, Patrica A. Friedrichs, Marjorie A.M. Net primary productivity estimates and environmental variables in the Arctic Ocean; an assessment of coupled physical-biogeochemical models |
topic_facet |
Arctic Ocean biochemistry concentration data processing digital simulation ice Mid-Arctic Ocean Ridge Biological Sciences Peer-Reviewed Articles Oceanography |
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 (NO (sub 3) ), mixed layer depth (MLD), euphotic layer depth (Z (sub 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 NO (sub 3) , MLD, and Z (sub 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 NO (sub 3) 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, Younjoo J. Matrai, Patrica A. Friedrichs, Marjorie A.M. |
author_facet |
Lee, Younjoo J. Matrai, Patrica A. Friedrichs, Marjorie A.M. |
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 |
W&M ScholarWorks |
publishDate |
2016 |
url |
https://scholarworks.wm.edu/vimsarticles/1837 https://scholarworks.wm.edu/context/vimsarticles/article/2836/viewcontent/Lee_et_al_2016_Journal_of_Geophysical_Research__Oceans.pdf |
geographic |
Arctic Arctic Ocean Greenland |
geographic_facet |
Arctic Arctic Ocean Greenland |
genre |
Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
genre_facet |
Arctic Basin Arctic Arctic Ocean Beaufort Sea Chukchi Greenland Phytoplankton Sea ice Zooplankton |
op_source |
VIMS Articles |
op_relation |
https://scholarworks.wm.edu/vimsarticles/1837 doi: 10.1002/2016JC011993 https://scholarworks.wm.edu/context/vimsarticles/article/2836/viewcontent/Lee_et_al_2016_Journal_of_Geophysical_Research__Oceans.pdf |
op_rights |
http://creativecommons.org/licenses/by-nd/4.0/ |
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 |
_version_ |
1768381032911863808 |