Marine Ecosystem Model Calibration with Real Data Using Enhanced Surrogate-Based Optimization.

Prieß, Malte, Koziel, S. and Slawig, Thomas (2013) Marine Ecosystem Model Calibration with Real Data Using Enhanced Surrogate-Based Optimization. Journal of Computational Science, 4 (5). pp. 423-437. DOI 10.1016/j.jocs.2013.04.001.

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Abstract

We have already shown in a previous methodological work that the surrogate-based optimization (SBO) approach can be successful and computationally very efficient when reconstructing parameters in a typical nonlinear, time-dependent marine ecosystem model, where a one-dimensional application has been considered to test the method's functionality in a first step. The application on real (measurement) data is covered in this paper. Essential here are a special model data treatment and further methodological enhancements which allow us to improve the robustness of the algorithm and the accuracy of the solution. By numerical experiments, we demonstrate that SBO is able to yield a solution close to the original model's optimum while time savings are again up to 85% when compared to a conventional direct optimization of the original model.

Document Type: Article
Keywords: Marine ecosystem model, Surrogate-based optimization, Model calibration, Parameter identification, Response correction, Low-fidelity model
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
OceanRep > The Future Ocean - Cluster of Excellence > FO-R07
OceanRep > The Future Ocean - Cluster of Excellence > FO-R05
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
OceanRep > The Future Ocean - Cluster of Excellence > FO-R11
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1016/j.jocs.2013.04.001
ISSN: 1877-7503
Projects: Future Ocean
Date Deposited: 12 Dec 2012 10:32
Last Modified: 04 Jul 2017 09:53
URI: http://oceanrep.geomar.de/id/eprint/19705

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