Identification of uncertain parameters in a tidal model of the north sea by SPSA

M. U. Altaf, A. W. Heemink, M. Verlaan

Research output: Contribution to journalArticlepeer-review

Abstract

The adjoint method is usually used to identify uncertain parameters in large-scale shallow water flow models. This requires the implementation of the adjoint model, which is huge programming effort. The work presented in this paper is based on stochastic simultaneous perturbation of all model parameters to generate a search direction and avoids the implementation of the adjoint of the original nonlinear model. The SPSA based calibration approach has been implemented for the estimation of the depth values in a shallow sea model of the entire European continental shelf. The results demonstrate that the SPSA method give comparable results to steepest descent method with little computational cost.

Original languageEnglish (US)
Pages (from-to)1084-1087
Number of pages4
JournalAIP Conference Proceedings
Volume1281
DOIs
StatePublished - 2010
Externally publishedYes

Keywords

  • Parameter estimation
  • simultaneous perturbation
  • stochastic approximation
  • tidal modeling

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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