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dc.contributor.authorSaba, Vincent S.
dc.contributor.authorFriedrichs, Marjorie A. M.
dc.contributor.authorCarr, Mary-Elena
dc.contributor.authorAntoine, David
dc.contributor.authorArmstrong, Robert A.
dc.contributor.authorAsanuma, Ichio
dc.contributor.authorAumont, Olivier
dc.contributor.authorBates, Nicholas R.
dc.contributor.authorBehrenfeld, Michael J.
dc.contributor.authorBennington, Val
dc.contributor.authorBopp, Laurent
dc.contributor.authorBruggeman, Jorn
dc.contributor.authorBuitenhuis, Erik T.
dc.contributor.authorChurch, Matthew J.
dc.contributor.authorCiotti, Aurea M.
dc.contributor.authorDoney, Scott C.
dc.contributor.authorDowell, Mark
dc.contributor.authorDunne, John P.
dc.contributor.authorDutkiewicz, Stephanie
dc.contributor.authorGregg, Watson
dc.contributor.authorHoepffner, Nicolas
dc.contributor.authorHyde, Kimberly J. W.
dc.contributor.authorIshizaka, Joji
dc.contributor.authorKameda, Takahiko
dc.contributor.authorKarl, David M.
dc.contributor.authorLima, Ivan D.
dc.contributor.authorLomas, Michael W.
dc.contributor.authorMarra, John F.
dc.contributor.authorMcKinley, Galen A.
dc.contributor.authorMelin, Frederic
dc.contributor.authorMoore, J. Keith
dc.contributor.authorMorel, Andre
dc.contributor.authorO'Reilly, John
dc.contributor.authorSalihoglu, Baris
dc.contributor.authorScardi, Michele
dc.contributor.authorSmyth, Tim J.
dc.contributor.authorTang, Shilin
dc.contributor.authorTjiputra, Jerry
dc.contributor.authorUitz, Julia
dc.contributor.authorVichi, Marcello
dc.contributor.authorWaters, Kirk
dc.contributor.authorWestberry, Toby K.
dc.contributor.authorYool, Andrew
dc.date.accessioned2010-10-13T14:57:40Z
dc.date.available2011-03-15T08:23:32Z
dc.date.issued2010-09-15
dc.identifier.citationGlobal Biogeochemical Cycles 24 (2010): GB3020en_US
dc.identifier.urihttp://hdl.handle.net/1912/3941
dc.descriptionAuthor 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.abstractThe 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.sponsorshipThis research was supported by a grant from the National Aeronautics and Space Agency Ocean Biology and Biogeochemistry program (NNG06GA03G).en_US
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.urihttp://dx.doi.org/10.1029/2009GB003655
dc.subjectMarine primary productivity modelsen_US
dc.subjectBATS HOT trendsen_US
dc.subjectMultidecadal climate forcingen_US
dc.titleChallenges of modeling depth-integrated marine primary productivity over multiple decades : a case study at BATS and HOTen_US
dc.typeArticleen_US
dc.identifier.doi10.1029/2009GB003655


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