Sensitivity analysis of environmental models: A systematic review with practical workflow
Pianosi, F; Beven, K; Freer, J; et al.Hall, JW; Rougier, J; Stephenson, DB; Wagener, T
Date: 1 May 2016
Article
Journal
Environmental Modelling and Software
Publisher
Elsevier
Publisher DOI
Abstract
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis ...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis and robust decision-making. In this paper we review the SA literature with the goal of providing: (i) a comprehensive view of SA approaches also in relation to other methodologies for model identification and application; (ii) a systematic classification of the most commonly used SA methods; (iii) practical guidelines for the application of SA. The paper aims at delivering an introduction to SA for non-specialist readers, as well as practical advice with best practice examples from the literature; and at stimulating the discussion within the community of SA developers and users regarding the setting of good practices and on defining priorities for future research.
Mathematics and Statistics
Faculty of Environment, Science and Economy
Item views 0
Full item downloads 0