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- W758020105 abstract "Numerical modelling of the marine ecosystem requires the aggregation of diverse chemicaland biological species into broad categories. To avoid large bias errors it is preferableto resolve as many explicit state variables and processes as possible. The cost of thisincreased complexity is greater uncertainty in model parameters and output. Whencomparing models, the importance of quantifying both bias error and the variability ofunconstrained solutions was revealed as two marine ecosystem models were calibrated todata. Results demonstrated that all prior parameter information must include realisticerror estimates if model uncertainty is to be quantied.Five simple ecosystem models were calibrated to observations from two North Atlanticsites; the Bermuda Atlantic Time-series Study (BATS) and the North Atlantic BloomExperiment (NABE). Model-data mists were reduced by between 45 and 50%. The additionof model complexity (a parameterised microbial loop, a variable chlorophyll a tonitrogen ratio and dissolved organic nitrogen) led to larger improvements in model performanceat BATS relative to NABE. Calibrated parameter values developed at NABEperformed better than the default parameter values when applied at BATS. Solutionsdeveloped at BATS performed worse than the default values at NABE. The modelslacked sucient ecological complexity to function well at BATS. Errors in the modelwere masked by errors in the calibrated parameters and the models did not performwell with regard to independent data. The models were well suited to reproducing theNABE data, and the calibrated models performed relatively well at BATS.The models were sensitive to the underlying physical forcing. Although the ecosystemmodels were originally calibrated within a poor representation of the physical environmentat BATS, results from experiments using an improved physical model support theconclusion that the ecosystem models lacked the required complexity at that site." @default.
- W758020105 created "2016-06-24" @default.
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- W758020105 date "2009-10-01" @default.
- W758020105 modified "2023-09-27" @default.
- W758020105 title "Marine ecosystem model analysis using data assimilation" @default.
- W758020105 hasPublicationYear "2009" @default.
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