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dc.contributor.authorSaltelli, Andrea
dc.contributor.authorJakeman, Anthony
dc.contributor.authorRazavi, Saman
dc.contributor.authorWu, Qiongli
dc.date.accessioned2022-01-28T10:02:45Z
dc.date.available2022-01-28T10:02:45Z
dc.date.created2021-12-03T14:07:46Z
dc.date.issued2021
dc.identifier.issn1364-8152
dc.identifier.urihttps://hdl.handle.net/11250/2932221
dc.description.abstractSensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and policy support is relatively young. Many researchers and practitioners from a wide range of disciplines have contributed to SA over the last three decades, and the SAMO (sensitivity analysis of model output) conferences, since 1995, have been the primary driver of breeding a community culture in this heterogeneous population. Now, SA is evolving into a mature and independent field of science, indeed a discipline with emerging applications extending well into new areas such as data science and machine learning. At this growth stage, the present editorial leads a special issue consisting of one Position Paper on “The future of sensitivity analysis” and 11 research papers on “Sensitivity analysis for environmental modelling” published in Environmental Modelling & Software in 2020–21.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleSensitivity analysis: A discipline coming of ageen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 The Authorsen_US
dc.source.articlenumber105226en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1016/j.envsoft.2021.105226
dc.identifier.cristin1964415
dc.source.journalEnvironmental Modelling & Softwareen_US
dc.identifier.citationEnvironmental Modelling & Software. 2021, 146, 105226.en_US
dc.source.volume146en_US


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