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Pianosi, Francesca, Wagener, Thorsten (2015) A simple and efficient method for global sensitivity analysis based on cumulative distribution functions. Environmental Modelling & Software, 67. 1-11 doi:10.1016/j.envsoft.2015.01.004

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Reference TypeJournal (article/letter/editorial)
TitleA simple and efficient method for global sensitivity analysis based on cumulative distribution functions
JournalEnvironmental Modelling & Software
AuthorsPianosi, FrancescaAuthor
Wagener, ThorstenAuthor
Year2015 (May)Volume67
PublisherElsevier BV
DOIdoi:10.1016/j.envsoft.2015.01.004Search in ResearchGate
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Mindat Ref. ID9714219Long-form Identifiermindat:1:5:9714219:7
GUID0
Full ReferencePianosi, Francesca, Wagener, Thorsten (2015) A simple and efficient method for global sensitivity analysis based on cumulative distribution functions. Environmental Modelling & Software, 67. 1-11 doi:10.1016/j.envsoft.2015.01.004
Plain TextPianosi, Francesca, Wagener, Thorsten (2015) A simple and efficient method for global sensitivity analysis based on cumulative distribution functions. Environmental Modelling & Software, 67. 1-11 doi:10.1016/j.envsoft.2015.01.004
In(n.d.) Environmental Modelling & Software Vol. 67. Elsevier BV

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Pianosi, Francesca, Sarrazin, Fanny, Wagener, Thorsten (2015) A Matlab toolbox for Global Sensitivity Analysis. Environmental Modelling & Software, 70. 80-85 doi:10.1016/j.envsoft.2015.04.009
Pianosi, Francesca, Wagener, Thorsten (2018) Distribution-based sensitivity analysis from a generic input-output sample. Environmental Modelling & Software, 108. 197-207 doi:10.1016/j.envsoft.2018.07.019
Sarrazin, Fanny, Pianosi, Francesca, Wagener, Thorsten (2016) Global Sensitivity Analysis of environmental models: Convergence and validation. Environmental Modelling & Software, 79. 135-152 doi:10.1016/j.envsoft.2016.02.005
Pianosi, Francesca, Sarrazin, Fanny, Wagener, Thorsten (2020) How successfully is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox. Environmental Modelling & Software, 124. 104579pp. doi:10.1016/j.envsoft.2019.104579
Khorashadi Zadeh, Farkhondeh, Nossent, Jiri, Sarrazin, Fanny, Pianosi, Francesca, van Griensven, Ann, Wagener, Thorsten, Bauwens, Willy (2017) Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model. Environmental Modelling & Software, 91. 210-222 doi:10.1016/j.envsoft.2017.02.001
Pianosi, Francesca, Beven, Keith, Freer, Jim, Hall, Jim W., Rougier, Jonathan, Stephenson, David B., Wagener, Thorsten (2016) Sensitivity analysis of environmental models: A systematic review with practical workflow. Environmental Modelling & Software, 79. 214-232 doi:10.1016/j.envsoft.2016.02.008
Wagener, Thorsten, Pianosi, Francesca (2019) What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling. Earth-Science Reviews, 194. 1-18 doi:10.1016/j.earscirev.2019.04.006
Pianosi, Francesca, Wagener, Thorsten (2016) Understanding the time-varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis. Hydrological Processes, 30 (22). 3991-4003 doi:10.1002/hyp.10968
Butler, Martha P., Reed, Patrick M., Fisher-Vanden, Karen, Keller, Klaus, Wagener, Thorsten (2014) Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis. Environmental Modelling & Software, 59. 10-29 doi:10.1016/j.envsoft.2014.05.001
Baroni, Gabriele, Francke, Till (2020) An effective strategy for combining variance- and distribution-based global sensitivity analysis. Environmental Modelling & Software, 134. 104851pp. doi:10.1016/j.envsoft.2020.104851
Stanfill, Bryan, Mielenz, Henrike, Clifford, David, Thorburn, Peter (2015) Simple approach to emulating complex computer models for global sensitivity analysis. Environmental Modelling & Software, 74. 140-155 doi:10.1016/j.envsoft.2015.09.011
 
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