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dc.contributor.authorFriedrichs, Marjorie A. M.  Concept link
dc.contributor.authorDusenberry, Jeffrey A.  Concept link
dc.contributor.authorAnderson, Laurence A.  Concept link
dc.contributor.authorArmstrong, Robert A.  Concept link
dc.contributor.authorChai, Fei  Concept link
dc.contributor.authorChristian, James R.  Concept link
dc.contributor.authorDoney, Scott C.  Concept link
dc.contributor.authorDunne, John P.  Concept link
dc.contributor.authorFujii, Masahiko  Concept link
dc.contributor.authorHood, Raleigh R.  Concept link
dc.contributor.authorMcGillicuddy, Dennis J.  Concept link
dc.contributor.authorMoore, J. Keith  Concept link
dc.contributor.authorSchartau, Markus  Concept link
dc.contributor.authorSpitz, Yvette H.  Concept link
dc.contributor.authorWiggert, Jerry D.  Concept link
dc.date.accessioned2010-06-02T15:22:39Z
dc.date.available2010-06-02T15:22:39Z
dc.date.issued2007-08-02
dc.identifier.citationJournal of Geophysical Research 112 (2007): C08001en_US
dc.identifier.urihttps://hdl.handle.net/1912/3561
dc.descriptionAuthor Posting. © American Geophysical Union, 2007. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 112 (2007): C08001, doi:10.1029/2006JC003852.en_US
dc.description.abstractApplication of biogeochemical models to the study of marine ecosystems is pervasive, yet objective quantification of these models' performance is rare. Here, 12 lower trophic level models of varying complexity are objectively assessed in two distinct regions (equatorial Pacific and Arabian Sea). Each model was run within an identical one-dimensional physical framework. A consistent variational adjoint implementation assimilating chlorophyll-a, nitrate, export, and primary productivity was applied and the same metrics were used to assess model skill. Experiments were performed in which data were assimilated from each site individually and from both sites simultaneously. A cross-validation experiment was also conducted whereby data were assimilated from one site and the resulting optimal parameters were used to generate a simulation for the second site. When a single pelagic regime is considered, the simplest models fit the data as well as those with multiple phytoplankton functional groups. However, those with multiple phytoplankton functional groups produced lower misfits when the models are required to simulate both regimes using identical parameter values. The cross-validation experiments revealed that as long as only a few key biogeochemical parameters were optimized, the models with greater phytoplankton complexity were generally more portable. Furthermore, models with multiple zooplankton compartments did not necessarily outperform models with single zooplankton compartments, even when zooplankton biomass data are assimilated. Finally, even when different models produced similar least squares model-data misfits, they often did so via very different element flow pathways, highlighting the need for more comprehensive data sets that uniquely constrain these pathways.en_US
dc.description.sponsorshipThis research was supported by the U.S. National Science Foundation through the JGOFS Synthesis and Modeling Project (OCE-0097285) and the National Aeronautics and Space Agency (NAG5-11259 and NNG05GO04G), as well as numerous other grants to the various investigators who participated.en_US
dc.format.mimetypeapplication/pdf
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dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.urihttps://doi.org/10.1029/2006JC003852
dc.subjectEcosystem model comparisonen_US
dc.subjectBiogeochemical data assimilationen_US
dc.subjectPhytoplankton functional groupsen_US
dc.titleAssessment of skill and portability in regional marine biogeochemical models : role of multiple planktonic groupsen_US
dc.typeArticleen_US
dc.identifier.doi10.1029/2006JC003852


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