Beltran, Cesar; Edwards, N. R. ; Haurie, A. B.; Vial, J. P. and Zachary, D. S.
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/s10666-005-9024-4|
|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 Article|
|Copyright Holders:||2005 Springer|
|Project Funding Details:||
|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/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
International Development & Inclusive Innovation
|Depositing User:||Neil Edwards|
|Date Deposited:||04 Apr 2011 08:46|
|Last Modified:||10 Feb 2017 13:11|
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