Sensitivity analysis of environmental models: A systematic review with practical workflow

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 eva...

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Main Authors: Pianosi, F, Beven, K, Freer, J, Hall, J, Rougier, J, Stephenson, D, Wagener, T
Format: Journal article
Published: Elsevier 2016
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author Pianosi, F
Beven, K
Freer, J
Hall, J
Rougier, J
Stephenson, D
Wagener, T
author_facet Pianosi, F
Beven, K
Freer, J
Hall, J
Rougier, J
Stephenson, D
Wagener, T
author_sort Pianosi, F
collection OXFORD
description 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.
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spelling oxford-uuid:5f349fe8-c79e-40a7-91c5-bc2a2cf83aa62022-03-26T17:45:26ZSensitivity analysis of environmental models: A systematic review with practical workflowJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5f349fe8-c79e-40a7-91c5-bc2a2cf83aa6Symplectic Elements at OxfordElsevier2016Pianosi, FBeven, KFreer, JHall, JRougier, JStephenson, DWagener, TSensitivity 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.
spellingShingle Pianosi, F
Beven, K
Freer, J
Hall, J
Rougier, J
Stephenson, D
Wagener, T
Sensitivity analysis of environmental models: A systematic review with practical workflow
title Sensitivity analysis of environmental models: A systematic review with practical workflow
title_full Sensitivity analysis of environmental models: A systematic review with practical workflow
title_fullStr Sensitivity analysis of environmental models: A systematic review with practical workflow
title_full_unstemmed Sensitivity analysis of environmental models: A systematic review with practical workflow
title_short Sensitivity analysis of environmental models: A systematic review with practical workflow
title_sort sensitivity analysis of environmental models a systematic review with practical workflow
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