dc.contributor.author | Pianosi, F | |
dc.contributor.author | Beven, K | |
dc.contributor.author | Freer, J | |
dc.contributor.author | Hall, JW | |
dc.contributor.author | Rougier, J | |
dc.contributor.author | Stephenson, DB | |
dc.contributor.author | Wagener, T | |
dc.date.accessioned | 2016-04-13T12:56:02Z | |
dc.date.issued | 2016-05-01 | |
dc.description.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 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. | en_GB |
dc.identifier.citation | Vol. 79, pp. 214 - 232 | en_GB |
dc.identifier.doi | 10.1016/j.envsoft.2016.02.008 | |
dc.identifier.uri | http://hdl.handle.net/10871/21086 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_GB |
dc.subject | Sensitivity Analysis | en_GB |
dc.subject | Uncertainty Analysis | en_GB |
dc.subject | Calibration | en_GB |
dc.subject | Evaluation | en_GB |
dc.subject | Robust decision-making | en_GB |
dc.title | Sensitivity analysis of environmental models: A systematic review with practical workflow | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2016-04-13T12:56:02Z | |
dc.identifier.issn | 1364-8152 | |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Environmental Modelling and Software | en_GB |