Challenges of modeling depth-integrated marine primary productivity over multiple decades: A case study at BATS and HOT

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Date

2010-09-15

Author

Saba, Vincent S.
Friedrichs, Marjorie A. M.
Carr, Mary-Elena
Antoine, David
Armstrong, Robert A.
Asanuma, Ichio
Aumont, Olivier
Bates, Nicholas R.
Behrenfeld, Michael J.
Bennington, Val
Bopp, Laurent
Bruggeman, Jorn
Buitenhuis, Erik T.
Church, Matthew J.
Ciotti, Aurea M.
Doney, Scott C.
Dowell, Mark
Dunne, John
Dutkiewicz, Stephanie
Gregg, Watson
Hoepffner, Nicolas
Hyde, Kimberly J. W.
Ishizaka, Joji
Kameda, Takahiko
Karl, David M.
Lima, Ivan
Lomas, Michael W.
Marra, John
McKinley, Galen A.
Melin, Frederic
Moore, J. Keith
Morel, Andre
O'Reilly, John
Salihoğlu, Barış
Scardi, Michele
Smyth, Tim J.
Tang, Shilin
Tjiputra, Jerry
Uitz, Julia
Vichi, Marcello
Waters, Kirk
Westberry, Toby K.
Yool, Andrew

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The performance of 36 models (22 ocean color models and 14 biogeochemical ocean circulation models (BOGCMs)) that estimate depth-integrated marine net primary productivity (NPP) was assessed by comparing their output to in situ C-14 data at the Bermuda Atlantic Time series Study (BATS) and the Hawaii Ocean Time series (HOT) over nearly two decades. Specifically, skill was assessed based on the models' ability to estimate the observed mean, variability, and trends of NPP. At both sites, more than 90% of the models underestimated mean NPP, with the average bias of the BOGCMs being nearly twice that of the ocean color models. However, the difference in overall skill between the best BOGCM and the best ocean color model at each site was not significant. Between 1989 and 2007, in situ NPP at BATS and HOT increased by an average of nearly 2% per year and was positively correlated to the North Pacific Gyre Oscillation index. The majority of ocean color models produced in situ NPP trends that were closer to the observed trends when chlorophyll-alpha was derived from high-performance liquid chromatography (HPLC), rather than fluorometric or SeaWiFS data. However, this was a function of time such that average trend magnitude was more accurately estimated over longer time periods. Among BOGCMs, only two individual models successfully produced an increasing NPP trend (one model at each site). We caution against the use of models to assess multiannual changes in NPP over short time periods. Ocean color model estimates of NPP trends could improve if more high quality HPLC chlorophyll-alpha time series were available.

Subject Keywords

Atlantic subtropical gyre, Ocean primary production, North pacific-ocean, Time-series, Oceanographic conditions, Interannual variabiiıty, Satellite chlorophyll, Generalized-model, Skill assessment, Sargasso sea

URI

https://hdl.handle.net/11511/32479

Journal

GLOBAL BIOGEOCHEMICAL CYCLES

DOI

https://doi.org/10.1029/2009gb003655

Collections

Graduate School of Marine Sciences, Article

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Citation Formats

V. S. Saba et al., “Challenges of modeling depth-integrated marine primary productivity over multiple decades: A case study at BATS and HOT,” GLOBAL BIOGEOCHEMICAL CYCLES, pp. 0–0, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32479.