Research article
17 Dec 2013
Research article
| 17 Dec 2013
From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models
J. D. Herman et al.
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Cited
40 citations as recorded by crossref.
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- Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications X. Song et al. 10.1016/j.jhydrol.2015.02.013
- Analysing the Sub-processes of a Conceptual Rainfall-Runoff Model Using Information About the Parameter Sensitivity and Variance C. Massmann & H. Holzmann 10.1007/s10666-014-9414-6
- Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
- Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change B. Guse et al. 10.1002/2016WR018894
- A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: an application for a cellular automata-based Urban growth and land-use change model S. Şalap-Ayça et al. 10.1080/13658816.2017.1406944
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- Multivariate global sensitivity analysis for dynamic models based on wavelet analysis S. Xiao et al. 10.1016/j.ress.2017.10.007
- Moment-based metrics for global sensitivity analysis of hydrological systems A. Dell'Oca et al. 10.5194/hess-21-6219-2017
- A Parallel Computation Tool to Enable Dynamic Sensitivity and Model Performance Analysis of APEX: Evapotranspiration Modeling M. Talebizadeh et al. 10.1111/1752-1688.12758
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- On characterizing the temporal dominance patterns of model parameters and processes B. Guse et al. 10.1002/hyp.10764
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- Simultaneously determining global sensitivities of model parameters and model structure J. Mai et al. 10.5194/hess-24-5835-2020
- Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China L. Jiang et al. 10.1016/j.ecolmodel.2018.02.014
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40 citations as recorded by crossref.
- A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes Y. Medina & E. Muñoz 10.3390/w12092463
- Sensitivity analysis of environmental models: A systematic review with practical workflow F. Pianosi et al. 10.1016/j.envsoft.2016.02.008
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models H. Gupta & S. Razavi 10.1029/2018WR022668
- Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher 10.1029/2020WR028544
- Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake X. Yi et al. 10.1016/j.ecolmodel.2016.01.005
- Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications X. Song et al. 10.1016/j.jhydrol.2015.02.013
- Analysing the Sub-processes of a Conceptual Rainfall-Runoff Model Using Information About the Parameter Sensitivity and Variance C. Massmann & H. Holzmann 10.1007/s10666-014-9414-6
- Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
- Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change B. Guse et al. 10.1002/2016WR018894
- A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: an application for a cellular automata-based Urban growth and land-use change model S. Şalap-Ayça et al. 10.1080/13658816.2017.1406944
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- Multivariate global sensitivity analysis for dynamic models based on wavelet analysis S. Xiao et al. 10.1016/j.ress.2017.10.007
- Moment-based metrics for global sensitivity analysis of hydrological systems A. Dell'Oca et al. 10.5194/hess-21-6219-2017
- A Parallel Computation Tool to Enable Dynamic Sensitivity and Model Performance Analysis of APEX: Evapotranspiration Modeling M. Talebizadeh et al. 10.1111/1752-1688.12758
- Ecological vulnerability analysis of Beidagang National Park, China X. Yu et al. 10.1007/s11707-018-0726-8
- What Is Controlling Our Control Rules? Opening the Black Box of Multireservoir Operating Policies Using Time‐Varying Sensitivity Analysis J. Quinn et al. 10.1029/2018WR024177
- Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results J. Mai & B. Tolson 10.1029/2018WR023382
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- A multi-criteria trajectory-based parameter sampling strategy for the screening method of elementary effects Y. Khare et al. 10.1016/j.envsoft.2014.11.013
- How Should Robustness Be Defined for Water Systems Planning under Change? J. Herman et al. 10.1061/(ASCE)WR.1943-5452.0000509
- A new approach to evaluate spatiotemporal dynamics of controlling parameters in distributed environmental models Z. Chen et al. 10.1016/j.envsoft.2016.10.005
- Supporting M5 model trees with sensitivity information derived from conceptual hydrological models C. Massmann 10.2166/hydro.2015.111
- Flood and drought hydrologic monitoring: the role of model parameter uncertainty N. Chaney et al. 10.5194/hess-19-3239-2015
- On characterizing the temporal dominance patterns of model parameters and processes B. Guse et al. 10.1002/hyp.10764
- Rainstorm Magnitude Likely Regulates Event Water Fraction and Its Transit Time in Mesoscale Mountainous Catchments: Implication for Modelling Parameterization J. Lee et al. 10.3390/w12041169
- Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding C. Kelleher et al. 10.5194/hess-21-3325-2017
- Computationally inexpensive identification of noninformative model parameters by sequential screening M. Cuntz et al. 10.1002/2015WR016907
- A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models S. Razavi & H. Gupta 10.1016/j.envsoft.2018.12.002
- Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
- Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al. 10.1029/2019WR025575
- Simultaneously determining global sensitivities of model parameters and model structure J. Mai et al. 10.5194/hess-24-5835-2020
- Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China L. Jiang et al. 10.1016/j.ecolmodel.2018.02.014
- Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model H. Xie et al. 10.3390/w11010171
- Understanding the time‐varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis F. Pianosi & T. Wagener 10.1002/hyp.10968
- Spatiotemporal sensitivity analysis of vertical transport of pesticides in soil T. Hong & S. Purucker 10.1016/j.envsoft.2018.03.018
- Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty A. Haghnegahdar et al. 10.1002/hyp.11358
- Sensitivity analysis of hydrological models: review and way forward M. Devak & C. Dhanya 10.2166/wcc.2017.149
- Time-varying sensitivity analysis of hydrologic and sediment parameters at multiple timescales: Implications for conservation practices H. Xie et al. 10.1016/j.scitotenv.2017.04.074
- Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis S. Xiao et al. 10.1016/j.ress.2017.03.011
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