A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models

Saman Razavi, Hoshin Vijai Gupta

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Many applications of global sensitivity analysis (GSA) do not adequately account for the dynamical nature of earth and environmental systems models. Gupta and Razavi (2018) highlight this fact and develop a sensitivity analysis framework from first principles, based on the sensitivity information contained in trajectories of partial derivatives of the dynamical model responses with respect to controlling factors. Here, we extend and generalize that framework to accommodate any GSA philosophy, including derivative-based approaches (such as Morris and DELSA), direct-response-based approaches (such as the variance-based Sobol’ distribution-based PAWN, and higher-moment-based methods), and unifying variogram-based approaches (such as VARS). The framework is implemented within the VARS-TOOL software toolbox and demonstrated using the HBV-SASK model applied to the Oldman Watershed, Canada. This enables a comprehensive multi-variate investigation of the influence of parameters and forcings on different modeled state variables and responses, without the need for observational data regarding those responses.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalEnvironmental Modelling and Software
Volume114
DOIs
StatePublished - Apr 1 2019

Fingerprint

Sensitivity analysis
sensitivity analysis
Earth (planet)
matrix
Derivatives
variogram
Watersheds
trajectory
Trajectories
watershed
software
method
distribution
need
parameter

Keywords

  • Dynamical systems models
  • Global sensitivity analysis
  • Morris
  • Parameter importance
  • Performance metrics
  • Progressive Latin hypercube sampling (PLHS)
  • Sensitivity indices
  • Sobol’
  • Time-varying sensitivity analysis
  • Uncertainty
  • Variogram analysis of response surfaces (VARS)

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modeling

Cite this

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