Sensitivity Analysis of Environmental Models: A Systematic Review with Practical Workflow

F. Pianosi, T. Wagener, J. Rougier, J. Hall, Jim Freer

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)

Abstract

Predictions of environmental models are affected by potentially large uncertainty due to a range of factors ranging from observation errors in the model forcing to uncertainty in model parameters and structure. Depending on the model application, such uncertainties can undermine the robustness and credibility of the modelling results up to the point that the usefulness of environmental models for supporting decision-making is called into question. Sensitivity Analysis (SA) is a valuable tool for both model developers and users to quantify the uncertainty in model outputs, estimate the relative contribution of the different input factors to such uncertainty, and thus prioritize efforts for its reduction. In the last few years, the development, application and comparison of SA techniques have been the subject of an increasing number of contributions in the literature. In this paper, we provide an overview of this literature and develop practical guidelines to help support researchers and practitioners in the application of SA in environmental modeling. By discussing the most critical and controversial steps in the application of SA methods, we also identify priorities for further research in the field.

Original languageEnglish
Title of host publicationVulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
PublisherASCE
Pages290-299
Number of pages10
ISBN (Print)9780784413609
DOIs
Publication statusPublished - 2014
Event2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom
Duration: 13 Jul 201416 Jul 2014

Conference

Conference2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Country/TerritoryUnited Kingdom
CityLiverpool
Period13/07/1416/07/14

Research Groups and Themes

  • Water and Environmental Engineering

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  • CREDIBLE (Revision of FEC id 120483)

    Wagener, T. (Principal Investigator)

    1/09/1230/09/17

    Project: Research

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