OceanRep
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.
Text
Prieß et.al.pdf - Published Version Restricted to Registered users only Download (3MB) | Contact |
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 OceanRep > The Future Ocean - Cluster of Excellence > FO-R11 Kiel University |
Refereed: | Yes |
Open Access Journal?: | No |
Publisher: | Elsevier |
Projects: | Future Ocean |
Date Deposited: | 12 Dec 2012 10:32 |
Last Modified: | 23 Sep 2019 18:56 |
URI: | https://oceanrep.geomar.de/id/eprint/19705 |
Actions (login required)
View Item |
Copyright 2023 | GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel | All rights reserved
Questions, comments and suggestions regarding the GEOMAR repository are welcomed
at bibliotheksleitung@geomar.de !