Kratzenstein, Claudia and Slawig, Thomas (2013) Simultaneous Model Spin-up and Parameter Identification with the One-Shot Method in a Climate Model Example. International Journal of Optimization and Control: Theory and Applications, 3 . DOI 10.11121/ijocta.01.2013.00144.

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Abstract

We investigate the Oneshot Optimization strategy introduced by Hamdi and Griewank for the applicability and efficiency to identify parameters in models of the earth's climate system. Parameters of a box model of the North Atlantic Thermohaline Circulation are optimized with respect to the fit of model output to data given by another model of intermediate complexity. Since the model is run into a steady state by a pseudo time-stepping, efficient techniques are necessary to avoid extensive recomputations or storing when using gradient-based local optimization algorithms. The Oneshot approach simultaneously updates state, adjoint and parameter values. For the required partial derivatives, the algorithmic/automatic differentiation tool TAF was used. Numerical results are compared to results obtained by the BFGS-quasi-Newton method.

Document Type:	Article
Keywords:	Algorithmic differentiation; bounded retardation; climate model; �xed point iteration; parameter identi�cation
Research affiliation:	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:	John Wiley & Sons: Blackwell Publishing
Projects:	Future Ocean
Date Deposited:	30 Jan 2017 10:06
Last Modified:	23 Sep 2019 18:17
URI:	https://oceanrep.geomar.de/id/eprint/35027

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