Prieß, Malte, Koziel, S. and Slawig, Thomas (2011) Surrogate-based optimization of climate model parameters using response correction. Journal of Computational Science, 2 (4). pp. 335-344. DOI 10.1016/j.jocs.2011.08.004.

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Abstract

We present a computationally efficient methodology for the optimization of climate model parameters applied to a (one-dimensional) representative of a class of marine ecosystem models. We use a response correction technique to create a surrogate from a temporarily coarser discretized physics-based low-fidelity model. We demonstrate that replacing the direct parameter optimization of the high-fidelity ecosystem model by iteratively updating and re-optimizing the surrogate leads to a very satisfactory solution while yielding significant cost saving – about 84% when compared to the direct high-fidelity model optimization.
Highlights:
► Computationally efficient methodology for optimization of climate model parameters. ► We use a response correction technique to create a surrogate. ► The optimization based on this surrogate leads to a very satisfactory solution. ► Our approach leads to significant cost saving.

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