Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation

Dai, Heng; Ye, Ming

doi:10.1016/j.jhydrol.2015.06.034

Title: Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation

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Authors:: Dai, Heng; Ye, Ming

Publication Date:: Tue Sep 01 00:00:00 EDT 2015

Sponsoring Org.:: USDOE

OSTI Identifier:: 1246708

Grant/Contract Number:: SC0008272

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Journal of Hydrology

Additional Journal Information:: Journal Name: Journal of Hydrology Journal Volume: 528 Journal Issue: C; Journal ID: ISSN 0022-1694

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

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                    Dai, Heng, and Ye, Ming. Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation.  Netherlands: N. p., 2015. 
Web.  doi:10.1016/j.jhydrol.2015.06.034.

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                    Dai, Heng, & Ye, Ming. Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation.  Netherlands.  https://doi.org/10.1016/j.jhydrol.2015.06.034

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                    Dai, Heng, and Ye, Ming. Tue .  
"Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation".  Netherlands.  https://doi.org/10.1016/j.jhydrol.2015.06.034.

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@article{osti_1246708,

  title        = {Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation},

  author       = {Dai, Heng and Ye, Ming},

  abstractNote = {},

  doi          = {10.1016/j.jhydrol.2015.06.034},

  journal      = {Journal of Hydrology},

  number       = C,

  volume       = 528,

  place        = {Netherlands},

  year         = {Tue Sep 01 00:00:00 EDT 2015},

  month        = {Tue Sep 01 00:00:00 EDT 2015}

}

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