VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes-Reference-Cited by-同舟云学术

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VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes

Published:2021-07 Issue:7 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Sheikholeslami Razi¹²^ORCID,Gharari Shervan³⁴^ORCID,Papalexiou Simon Michael²⁵^ORCID,Clark Martyn P³⁴^ORCID

Affiliation:

1. School of Geography and the Environment University of Oxford Oxford UK

2. Global Institute for Water Security University of Saskatchewan Saskatoon SK Canada

3. Centre for Hydrology University of Saskatchewan Canmore AB Canada

4. Department of Geography and Planning University of Saskatchewan Saskatoon SK Canada

5. Department of Civil, Geological, and Environmental Engineering University of Saskatchewan Saskatoon SK Canada

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028435

Reference108 articles.

1. Sampling methods and sensitivity analysis for large parameter sets

2. Sensitivity analysis approaches to high-dimensional screening problems at low sample size

3. Monte Carlo Estimation Under Different Distributions Using the Same Simulation

4. GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models

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