en
Report
Open access
English

Oracle-Based optimization applied to climate model calibration

Collection
  • Cahiers de recherche; 2004.16
Publication date2004
Abstract

In this paper, we show how oracle-based optimization can be used effectively for the calibration of an intermediate complexity climate model. In a fully developed example, we estimate the 12 principal transport and mixing parameters of the C-GOLDSTEIN climate model by using an oracle-based optimization tool, Proximal-ACCPM. The oracle is a procedure which finds, for each query point, a value for the goodness-of-fit function and an evaluation of its gradient with respect to the parameters to be estimated. 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 w.r.t. the calibration parameters. However, Proximal-ACCPM is able to find good candidates for parameter calibration approximations in spite of this non-convexity. The method converges to a 'best fit' estimate over ten 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
Citation (ISO format)
BELTRAN, C. et al. Oracle-Based optimization applied to climate model calibration. 2004
Main files (1)
Report
accessLevelPublic
Identifiers
  • PID : unige:5766
615views
594downloads

Technical informations

Creation04/15/2010 12:19:54 PM
First validation04/15/2010 12:19:54 PM
Update time03/14/2023 3:26:30 PM
Status update03/14/2023 3:26:29 PM
Last indexation01/15/2024 7:43:09 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack