The Open UniversitySkip to content

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.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (262kB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


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 Item
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
Keywords: oracle-based optimization, cutting plane method, model calibration, parameter estimation, C-GOLDSTEIN, Proximal- ACCPM
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 25678
Depositing User: Neil Edwards
Date Deposited: 04 Apr 2011 08:46
Last Modified: 15 Jan 2019 08:50
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU