Aggressive space mapping for optimisation of a marine ecosystem model.

Prieß, Malte and Slawig, Thomas (2012) Aggressive space mapping for optimisation of a marine ecosystem model. International Journal of Mathematical Modelling and Numerical Optimisation, 3 (1/2). p. 98. DOI 10.1504/IJMMNO.2012.044732.

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Abstract

We apply the aggressive space mapping (ASM) algorithm to parameter optimisation of a one-dimensional marine ecosystem model. Such models are important to calculate the global carbon cycle and specifically the oceanic CO2 uptake. The aim of the optimisation is to find model parameters that minimise the misfit between model output and observational data. ASM first solves for an optimum of a computationally cheaper low-fidelity model that in our case is based on a coarser time discretisation while still guaranteeing numerical stability. Secondly, an approximate optimum of the high-fidelity model is iteratively found by a parameter mapping applying a Quasi-Newton method and Broyden update. The applicability of the ASM technique to the problem is verified by using synthetic target data. Results are compared to those of the direct high-fidelity model optimisation. We show that a very reasonable solution can be obtained while yielding a significant reduction in the total optimisation cost.

Document Type: Article
Keywords: marine ecosystem models; surrogate-based optimisation; low-fidelity model; aggressive space mapping; ASM; globalised quasi-Newton; numerical optimisation; inverse problems; ecosystem modelling; global carbon cycle; ocean carbon uptake; CO2; carbon dioxide
Research affiliation: 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
DOI etc.: 10.1504/IJMMNO.2012.044732
ISSN: 2040-3607
Projects: Future Ocean
Date Deposited: 11 Dec 2012 13:42
Last Modified: 23 Sep 2019 17:42
URI: http://oceanrep.geomar.de/id/eprint/19659

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