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Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box

  • Published:2017-09 Issue:9 Volume:53 Page:7933-7950
  • ISSN:0043-1397
  • Container-title:Water Resources Research
  • language:en
  • Short-container-title:Water Resour. Res.

Author:

Borgonovo E.1ORCID,Lu X.1ORCID,Plischke E.2ORCID,Rakovec O.3ORCID,Hill M. C.4ORCID

Affiliation:

1. Department of Decision Sciences; Bocconi University; Milan Italy

2. Clausthal University of Technology; Clausthal-Zellerfeld Germany

3. UFZ - Helmholtz Centre for Environmental Research; Leipzig Germany

4. University of Kansas; Lawrence Kansas USA

Funder

University of Kansas College of Liberal Arts and Sciences

German Federal Ministry of Research

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

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1. Visualization for better understanding global sensitivity analysis results: The case of safety assessment of radioactive waste disposal;Journal of Environmental Radioactivity;2024-09

2. Feature importance measures for flood forecasting system design;Hydrological Sciences Journal;2024-03-11

3. Sensitivity analysis in the wavelet domain: a comparison study;Stochastic Environmental Research and Risk Assessment;2024-01-12

4. Feature importance measures for hydrological applications: insights from a virtual experiment;Stochastic Environmental Research and Risk Assessment;2023-09-08

5. Effects of flood wave shape on probabilistic slope stability of dikes under transient groundwater conditions;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2023-06-15
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