Simultaneous data-based optimization of a 1D-ecosystem model at three locations in the North Atlantic: Part I—Method and parameter estimates
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2003
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Abstract
An optimization experiment is performed with a vertically resolved, nitrogen-based ecosystem model, composed of four state variables (NPZD-model): dissolved inorganic nitrogen (N), phytoplankton (P), herbivorous zooplankton (Z) and detritus (D).Parameter values of the NPZD-model are optimized while assimilating observationsat three locations in the North Atlantic simultaneously, namely at the sites of the Bermuda Atlantic Time-Series Study (BATS; 31N 64W), of the North Atlantic Bloom Experiment (NABE; 47N 20W), and of Ocean Weather Ship-India (OWS-INDIA; 59N 19W).A method is described for a simultaneous optimization which effectively merges different types of observational data at distinct sites in the ocean.A micro-genetic algorithm is applied for the minimization of a weighted least square mis t function.The optimal parameter estimates are shown to represent a compromise among local parameter estimates that would be obtained from single-site optimizations at the individual locations.The optimization yields a high estimate of the initial slope parameter of photosynthesis(a), which is shown to be necessary to match the initial phases of phytoplankton growth.The estimate of a is well constrained by chlorophyll observations at the BATS and OWS-INDIA sites and likely compensates for a de ciency in the parameterizationof light-limited growth.The optimization also points toward an enhanced recycling of organic nitrogen which is perceived from a high estimate for the phytoplankton mortality/ excretion rate.
| Reference Key |
openalex_W2029238235
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|---|---|
| Authors | Markus Schartau, Andreas Oschlies |
| Journal | journal of marine research |
| Year | 2003 |
| DOI |
10.1357/002224003322981147
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| URL | |
| Keywords | Keywords not found |
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