Environmental Modeling & Assessment

, Volume 11, Issue 1, pp 31–43 | Cite as

Oracle-based optimization applied to climate model calibration

  • Cesar Beltran
  • N. R. Edwards
  • A. B. Haurie
  • J.-P. Vial
  • D. S. Zachary
Article

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 ‘best 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.

Keywords

oracle-based optimization cutting plane method model calibration parameter estimation C-GOLDSTEIN Proximal-ACCPM 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Cesar Beltran
    • 1
  • N. R. Edwards
    • 2
  • A. B. Haurie
    • 1
  • J.-P. Vial
    • 1
  • D. S. Zachary
    • 3
  1. 1.Logilab-HECUniversity of GenevaGenevaSwitzerland
  2. 2.Climate and Environmental PhysicsUniversity of BernBernSwitzerland
  3. 3.Physics DepartmentAmerican University of SharjahSharjahUnited Arab Emirates

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