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

Authors:
;
Publication Date:
Grant/Contract Number:
SC0008272
Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Hydrology
Additional Journal Information:
Journal Volume: 528; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-21 11:25:41; Journal ID: ISSN 0022-1694
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
Netherlands
Language:
English
OSTI Identifier:
1246708

Dai, Heng, and Ye, Ming. Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation. Netherlands: N. p., Web. doi:10.1016/j.jhydrol.2015.06.034.
Dai, Heng, & Ye, Ming. Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation. Netherlands. doi:10.1016/j.jhydrol.2015.06.034.
Dai, Heng, and Ye, Ming. 2015. "Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation". Netherlands. doi:10.1016/j.jhydrol.2015.06.034.
@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 = {2015},
month = {9}
}