Optimization of Parameters and Initial Values in a Marine NPZD-Type Ecosystem Model
Parameters and initial values of a one-dimensional marine ecosystem model are optimized using a gradient-based optimization algorithm taking into account parameter bounds. Sensitivities of the optimized parameters w.r.t. errors in observations andinitial values are studied numerically and found to yield parameter ranges narrow relative to the a priori parameter uncertainty reflected in upper and lower bounds on the permitted parameter range. This means, that optimal parameters can be determined accurately. We find, that optimizing for the initial values along with the parameters can greatly improve the model's fit to the observations.
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