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Oracle-based optimization applied to climate model calibration

Beltran, Cesar; Edwards, N. R. ; Haurie, A. B.; Vial, J. P. and Zachary, D. S. (2005). Oracle-based optimization applied to climate model calibration. Environmental Modeling and Assessment, 11(1) pp. 31–43.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/s10666-005-9024-4
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Abstract

In this paper, we show how oracle-based optimization can be effectively used for the calibration of an intermediate complexity climate model. In a fully developed example, we estimate the 12 principal parameters of the C-GOLDSTEIN climate model by using an oracle- based optimization tool, Proximal-ACCPM. The oracle is a procedure that finds, for each query point, a value for the goodness-of-fit function and an evaluation of its gradient. The difficulty in the model calibration problem stems from the need to undertake costly calculations for each simulation and also from the fact that the error function used to assess the goodness-of-fit is not convex. The method converges to a Fbest fit_ estimate over 10 times faster than a comparable test using the ensemble Kalman filter. The approach is simple to implement and potentially useful in calibrating computationally demanding models based on temporal integration (simulation), for which functional derivative information is not readily available.

Item Type: Journal Article
Copyright Holders: 2005 Springer
ISSN: 1573-2967
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetSwiss NCCRClimate program
Extra Information: The original publication is available at www.springerlink.com
Keywords: oracle-based optimization, cutting plane method, model calibration, parameter estimation, C-GOLDSTEIN, Proximal- ACCPM
Academic Unit/Department: Science > Environment, Earth and Ecosystems
Interdisciplinary Research Centre: Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Item ID: 25678
Depositing User: Neil Edwards
Date Deposited: 04 Apr 2011 08:46
Last Modified: 05 Apr 2011 15:18
URI: http://oro.open.ac.uk/id/eprint/25678
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