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

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    Text S1: Detailed descriptions of each model used in the analysis. (899.5Kb)
    Date
    2010-09-15
    Author
    Saba, Vincent S.  Concept link
    Friedrichs, Marjorie A. M.  Concept link
    Carr, Mary-Elena  Concept link
    Antoine, David  Concept link
    Armstrong, Robert A.  Concept link
    Asanuma, Ichio  Concept link
    Aumont, Olivier  Concept link
    Bates, Nicholas R.  Concept link
    Behrenfeld, Michael J.  Concept link
    Bennington, Val  Concept link
    Bopp, Laurent  Concept link
    Bruggeman, Jorn  Concept link
    Buitenhuis, Erik T.  Concept link
    Church, Matthew J.  Concept link
    Ciotti, Aurea M.  Concept link
    Doney, Scott C.  Concept link
    Dowell, Mark  Concept link
    Dunne, John P.  Concept link
    Dutkiewicz, Stephanie  Concept link
    Gregg, Watson  Concept link
    Hoepffner, Nicolas  Concept link
    Hyde, Kimberly J. W.  Concept link
    Ishizaka, Joji  Concept link
    Kameda, Takahiko  Concept link
    Karl, David M.  Concept link
    Lima, Ivan D.  Concept link
    Lomas, Michael W.  Concept link
    Marra, John F.  Concept link
    McKinley, Galen A.  Concept link
    Melin, Frederic  Concept link
    Moore, J. Keith  Concept link
    Morel, Andre  Concept link
    O'Reilly, John  Concept link
    Salihoglu, Baris  Concept link
    Scardi, Michele  Concept link
    Smyth, Tim J.  Concept link
    Tang, Shilin  Concept link
    Tjiputra, Jerry  Concept link
    Uitz, Julia  Concept link
    Vichi, Marcello  Concept link
    Waters, Kirk  Concept link
    Westberry, Toby K.  Concept link
    Yool, Andrew  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/3941
    As published
    https://doi.org/10.1029/2009GB003655
    DOI
    10.1029/2009GB003655
    Keyword
     Marine primary productivity models; BATS HOT trends; Multidecadal climate forcing 
    Abstract
    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 14C 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-a 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-a time series were available.
    Description
    Author Posting. © American Geophysical Union, 2010. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Global Biogeochemical Cycles 24 (2010): GB3020, doi:10.1029/2009GB003655.
    Collections
    • Marine Chemistry and Geochemistry (MC&G)
    Suggested Citation
    Global Biogeochemical Cycles 24 (2010): GB3020
     

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