Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-14286
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Main Title: Parameter optimization using algorithmic differentiation in a reduced-form model of the Atlantic thermohaline circulation
Author(s): Slawig, Thomas
Zickfeld, Kirsten
Type: Research Paper
URI: https://depositonce.tu-berlin.de/handle/11303/15513
http://dx.doi.org/10.14279/depositonce-14286
License: http://rightsstatements.org/vocab/InC/1.0/
Abstract: Optimizing some model parameters a reduced-form model of the Atlantic thermohaline circulation (THC) is fitted to data provided by a comprehensive climate model. Different techniques to compute stationary states of the reduced-form model are discussed. The fitting problem is formulated as weighted least squares optimization problem with non-linear constraints that enforce a proper representation of the present climate. Possible formulations of the optimization problem are presented and compared with respect to their numerical treatment. The technique of Algorithmic or Automatic Differentiation (AD) is used to provide gradient information that can be used in the optimization. The application of the AD software is described in detail and numerical results are given.
Subject(s): parameter identification
oceanography
algorithmic differentiation
Issue Date: 1-Jan-2003
Date Available: 17-Dec-2021
Language Code: en
DDC Class: 510 Mathematik
MSC 2000: 34H05 Control problems
86A05 Hydrology, hydrography, oceanography
Series: Preprint-Reihe des Instituts für Mathematik, Technische Universität Berlin
Series Number: 2003, 02
ISSN: 2197-8085
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Mathematik
Appears in Collections:Technische Universität Berlin » Publications

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