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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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dc.contributor.author Saba, Vincent S.
dc.contributor.author Friedrichs, Marjorie A. M.
dc.contributor.author Carr, Mary-Elena
dc.contributor.author Antoine, David
dc.contributor.author Armstrong, Robert A.
dc.contributor.author Asanuma, Ichio
dc.contributor.author Aumont, Olivier
dc.contributor.author Bates, Nicholas R.
dc.contributor.author Behrenfeld, Michael J.
dc.contributor.author Bennington, Val
dc.contributor.author Bopp, Laurent
dc.contributor.author Bruggeman, Jorn
dc.contributor.author Buitenhuis, Erik T.
dc.contributor.author Church, Matthew J.
dc.contributor.author Ciotti, Aurea M.
dc.contributor.author Doney, Scott C.
dc.contributor.author Dowell, Mark
dc.contributor.author Dunne, John P.
dc.contributor.author Dutkiewicz, Stephanie
dc.contributor.author Gregg, Watson
dc.contributor.author Hoepffner, Nicolas
dc.contributor.author Hyde, Kimberly J. W.
dc.contributor.author Ishizaka, Joji
dc.contributor.author Kameda, Takahiko
dc.contributor.author Karl, David M.
dc.contributor.author Lima, Ivan D.
dc.contributor.author Lomas, Michael W.
dc.contributor.author Marra, John
dc.contributor.author McKinley, Galen A.
dc.contributor.author Melin, Frederic
dc.contributor.author Moore, J. Keith
dc.contributor.author Morel, Andre
dc.contributor.author O'Reilly, John
dc.contributor.author Salihoglu, Baris
dc.contributor.author Scardi, Michele
dc.contributor.author Smyth, Tim J.
dc.contributor.author Tang, Shilin
dc.contributor.author Tjiputra, Jerry
dc.contributor.author Uitz, Julia
dc.contributor.author Vichi, Marcello
dc.contributor.author Waters, Kirk
dc.contributor.author Westberry, Toby K.
dc.contributor.author Yool, Andrew
dc.date.accessioned 2010-10-13T14:57:40Z
dc.date.available 2011-03-15T08:23:32Z
dc.date.issued 2010-09-15
dc.identifier.citation Global Biogeochemical Cycles 24 (2010): GB3020 en_US
dc.identifier.uri http://hdl.handle.net/1912/3941
dc.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. en_US
dc.description.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. en_US
dc.description.sponsorship This research was supported by a grant from the National Aeronautics and Space Agency Ocean Biology and Biogeochemistry program (NNG06GA03G). en_US
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language.iso en_US en_US
dc.publisher American Geophysical Union en_US
dc.relation.uri http://dx.doi.org/10.1029/2009GB003655
dc.subject Marine primary productivity models en_US
dc.subject BATS HOT trends en_US
dc.subject Multidecadal climate forcing en_US
dc.title Challenges of modeling depth-integrated marine primary productivity over multiple decades : a case study at BATS and HOT en_US
dc.type Article en_US
dc.identifier.doi 10.1029/2009GB003655


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