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Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box
dc.contributor.author | Borgonovo, E. | |
dc.contributor.author | Lu, X. | |
dc.contributor.author | Plischke, E. | |
dc.contributor.author | Rakovec, O. | |
dc.contributor.author | Hill, Mary C. | |
dc.date.accessioned | 2018-11-06T19:46:29Z | |
dc.date.available | 2018-11-06T19:46:29Z | |
dc.date.issued | 2017-08-21 | |
dc.identifier.citation | Borgonovo, E., X. Lu, E. Plischke, O. Rakovec, and M. C. Hill (2017), Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box, Water Resour. Res., 53, 7933–7950, doi:10.1002/2017WR020767. | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/27231 | |
dc.description.abstract | In this work, we investigate methods for gaining greater insight from hydrological model runs conducted for uncertainty quantification and model differentiation. We frame the sensitivity analysis questions in terms of the main purposes of sensitivity analysis: parameter prioritization, trend identification, and interaction quantification. For parameter prioritization, we consider variance‐based sensitivity measures, sensitivity indices based on the L1‐norm, the Kuiper metric, and the sensitivity indices of the DELSA methods. For trend identification, we investigate insights derived from graphing the one‐way ANOVA sensitivity functions, the recently introduced CUSUNORO plots, and derivative scatterplots. For interaction quantification, we consider information delivered by variance‐based sensitivity indices. We rely on the so‐called given‐data principle, in which results from a set of model runs are used to perform a defined set of analyses. One avoids using specific designs for each insight, thus controlling the computational burden. The methodology is applied to a hydrological model of a river in Belgium simulated using the well‐established Framework for Understanding Structural Errors (FUSE) on five alternative configurations. The findings show that the integration of the chosen methods provides insights unavailable in most other analyses. | en_US |
dc.publisher | American Geophysical Union | en_US |
dc.rights | © 2017. American Geophysical Union. All Rights Reserved. | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Sensitivity analysis | en_US |
dc.subject | Model parameters | en_US |
dc.subject | Hydrological model | en_US |
dc.subject | Uncertainty | en_US |
dc.title | Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Hill, Mary C. | |
kusw.kudepartment | Geology | en_US |
dc.identifier.doi | https://doi.org/10.1002/2017WR020767 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-0545-3378 | |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess | en_US |
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Geology Scholarly Works [248]