Publication Abstracts

Lee et al. 2016

Lee, Y.J., P.A. Matral, A.M. Friedrichs, V.S. Saba, O. Aumont, M. Babin, E. Buitenhius, M. Chevallier, L. de Mora, M. Dessert, D. Feldman, R. Frouin, M. Gehlen, T. Gorgues, T. Ilyina, M. Jin, J. John, J. Lawrence, C. Perruche, V. Le Fouest, E. Popova, A. Romanou, A. Samuelsen, J. Schwinger, R. Séférian, C. Stock, J. Tjiputra, B. Tremblay, K. Ueyoshi, M. Vichi, A. Yool, and J. Zhang, 2016: Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models. J. Geophys. Res. Oceans, 121, no. 12, 8635-8669, doi:10.1002/2016JC011993.

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.

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BibTeX Citation

@article{le01700t,
  author={Lee, Y. J. and Matral, P. A. and Friedrichs, A. M. and Saba, V. S. and Aumont, O. and Babin, M. and Buitenhius, E. and Chevallier, M. and de Mora, L. and Dessert, M. and Feldman, D. and Frouin, R. and Gehlen, M. and Gorgues, T. and Ilyina, T. and Jin, M. and John, J. and Lawrence, J. and Perruche, C. and Le Fouest, V. and Popova, E. and Romanou, A. and Samuelsen, A. and Schwinger, J. and Séférian, R. and Stock, C. and Tjiputra, J. and Tremblay, B. and Ueyoshi, K. and Vichi, M. and Yool, A. and Zhang, J.},
  title={Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models},
  year={2016},
  journal={J. Geophys. Res. Oceans},
  volume={121},
  number={12},
  pages={8635--8669},
  doi={10.1002/2016JC011993},
}

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RIS Citation

TY  - JOUR
ID  - le01700t
AU  - Lee, Y. J.
AU  - Matral, P. A.
AU  - Friedrichs, A. M.
AU  - Saba, V. S.
AU  - Aumont, O.
AU  - Babin, M.
AU  - Buitenhius, E.
AU  - Chevallier, M.
AU  - de Mora, L.
AU  - Dessert, M.
AU  - Feldman, D.
AU  - Frouin, R.
AU  - Gehlen, M.
AU  - Gorgues, T.
AU  - Ilyina, T.
AU  - Jin, M.
AU  - John, J.
AU  - Lawrence, J.
AU  - Perruche, C.
AU  - Le Fouest, V.
AU  - Popova, E.
AU  - Romanou, A.
AU  - Samuelsen, A.
AU  - Schwinger, J.
AU  - Séférian, R.
AU  - Stock, C.
AU  - Tjiputra, J.
AU  - Tremblay, B.
AU  - Ueyoshi, K.
AU  - Vichi, M.
AU  - Yool, A.
AU  - Zhang, J.
PY  - 2016
TI  - Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models
JA  - J. Geophys. Res. Oceans
VL  - 121
IS  - 12
SP  - 8635
EP  - 8669
DO  - 10.1002/2016JC011993
ER  -

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