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Lee YJ, Matrai PA, Friedrichs MAM, Saba VS, Antoine D, Ardyna M, Asanuma I, Babin M, Bélanger S, Benoît-Gagné M, Devred E, Fernández-Méndez M, Gentili B, Hirawake T, Kang SH, Kameda T, Katlein C, Lee SH, Lee Z, Mélin F, Scardi M, Smyth TJ, Tang S, Turpie KR, Waters KJ, Westberry TK. An assessment of phytoplankton primary productivity in the Arctic Ocean from satellite ocean color/in situ chlorophyll- a based models. JOURNAL OF GEOPHYSICAL RESEARCH. OCEANS 2015; 120:6508-6541. [PMID: 27668139 PMCID: PMC5014238 DOI: 10.1002/2015jc011018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 08/27/2015] [Indexed: 05/26/2023]
Abstract
We investigated 32 net primary productivity (NPP) models by assessing skills to reproduce integrated NPP in the Arctic Ocean. The models were provided with two sources each of surface chlorophyll-a concentration (chlorophyll), photosynthetically available radiation (PAR), sea surface temperature (SST), and mixed-layer depth (MLD). The models were most sensitive to uncertainties in surface chlorophyll, generally performing better with in situ chlorophyll than with satellite-derived values. They were much less sensitive to uncertainties in PAR, SST, and MLD, possibly due to relatively narrow ranges of input data and/or relatively little difference between input data sources. Regardless of type or complexity, most of the models were not able to fully reproduce the variability of in situ NPP, whereas some of them exhibited almost no bias (i.e., reproduced the mean of in situ NPP). The models performed relatively well in low-productivity seasons as well as in sea ice-covered/deep-water regions. Depth-resolved models correlated more with in situ NPP than other model types, but had a greater tendency to overestimate mean NPP whereas absorption-based models exhibited the lowest bias associated with weaker correlation. The models performed better when a subsurface chlorophyll-a maximum (SCM) was absent. As a group, the models overestimated mean NPP, however this was partly offset by some models underestimating NPP when a SCM was present. Our study suggests that NPP models need to be carefully tuned for the Arctic Ocean because most of the models performing relatively well were those that used Arctic-relevant parameters.
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Affiliation(s)
- Younjoo J Lee
- Bigelow Laboratory for Ocean Sciences East Boothbay Maine USA
| | | | - Marjorie A M Friedrichs
- Virginia Institute of Marine Science, College of William and Mary Gloucester Point Virginia USA
| | - Vincent S Saba
- NOAA National Marine Fisheries Service, Northeast Fisheries Science Center Princeton New Jersey USA
| | - David Antoine
- Sorbonne Universités, UPMC Univ Paris 06 and CNRS, UMR 7093, LOV, Observatoire océanologique Villefranche/mer France; Remote Sensing and Satellite Research Group, Department of Physics, Astronomy and Medical Radiation Sciences Curtin University Perth Western Australia Australia
| | - Mathieu Ardyna
- Takuvik Joint International Laboratory CNRS - Université Laval Québec Canada
| | - Ichio Asanuma
- Tokyo University of Information Sciences Chiba Japan
| | - Marcel Babin
- Takuvik Joint International Laboratory CNRS - Université Laval Québec Canada
| | - Simon Bélanger
- Department of Biology, Chemistry and Geography Université du Québec à Rimouski Rimouski Québec Canada
| | - Maxime Benoît-Gagné
- Takuvik Joint International Laboratory CNRS - Université Laval Québec Canada
| | - Emmanuel Devred
- Takuvik Joint International Laboratory CNRS - Université Laval Québec Canada
| | - Mar Fernández-Méndez
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Bremerhaven Germany
| | - Bernard Gentili
- Sorbonne Universités, UPMC Univ Paris 06 and CNRS, UMR 7093, LOV, Observatoire océanologique Villefranche/mer France
| | - Toru Hirawake
- Faculty of Fisheries Sciences Hokkaido University Hakodate Japan
| | - Sung-Ho Kang
- Korea Polar Research Institute Incheon Republic of Korea
| | - Takahiko Kameda
- Seikai National Fisheries Research Institute, Fisheries Research Agency Nagasaki Japan
| | - Christian Katlein
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Bremerhaven Germany
| | - Sang H Lee
- Department of Oceanography Pusan National University Busan Republic of Korea
| | - Zhongping Lee
- School for the Environment, University of Massachusetts-Boston Boston Massachusetts USA
| | - Frédéric Mélin
- European Commission, Joint Research Centre, Institute for Environment and Sustainability Ispra Italy
| | - Michele Scardi
- Department of Biology 'Tor Vergata' University Rome Italy
| | | | - Shilin Tang
- State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology, Chinese Academy of Sciences Guangzhou China
| | - Kevin R Turpie
- Baltimore County-Joint Center for Earth System Technology, University of Maryland Baltimore Maryland USA
| | - Kirk J Waters
- NOAA Office for Coastal Management Charleston South Carolina USA
| | - Toby K Westberry
- Department of Botany and Plant Pathology Oregon State University Corvallis Oregon USA
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Oliver MJ. Deriving in situ phytoplankton absorption for bio-optical productivity models in turbid waters. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2002jc001627] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Häder DP, Kumar H, Smith R, Worrest R. Effects on aquatic ecosystems. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY 1998. [DOI: 10.1016/s1011-1344(98)00185-7] [Citation(s) in RCA: 252] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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