Articles | Volume 11, issue 4
https://doi.org/10.5194/hess-11-1249-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Special issue:
https://doi.org/10.5194/hess-11-1249-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology
M. Ratto
Joint Research Centre, European Commission, Ispra, Italy
P. C. Young
Centre for Research on Environmental Systems and Statistic, Lancaster University, Lancaster, UK
Centre for Resource and Environmental Studies, Australian National University, Canberra, Australia
R. Romanowicz
Centre for Research on Environmental Systems and Statistic, Lancaster University, Lancaster, UK
F. Pappenberger
Centre for Research on Environmental Systems and Statistic, Lancaster University, Lancaster, UK
European Centre for Medium-Range Weather Forecasts, Reading, UK
A. Saltelli
Joint Research Centre, European Commission, Ispra, Italy
A. Pagano
Joint Research Centre, European Commission, Ispra, Italy
Viewed
Total article views: 3,568 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 25 Sep 2006)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,606 | 1,811 | 151 | 3,568 | 117 | 89 |
- HTML: 1,606
- PDF: 1,811
- XML: 151
- Total: 3,568
- BibTeX: 117
- EndNote: 89
Total article views: 2,852 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 03 May 2007)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,295 | 1,427 | 130 | 2,852 | 99 | 81 |
- HTML: 1,295
- PDF: 1,427
- XML: 130
- Total: 2,852
- BibTeX: 99
- EndNote: 81
Total article views: 716 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 25 Sep 2006)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
311 | 384 | 21 | 716 | 18 | 8 |
- HTML: 311
- PDF: 384
- XML: 21
- Total: 716
- BibTeX: 18
- EndNote: 8
Cited
66 citations as recorded by crossref.
- Extended State Dependent Parameter modelling with a Data-Based Mechanistic approach to nonlinear model structure identification D. Mindham et al. 10.1016/j.envsoft.2018.02.015
- Derivation of new analytical solution for pollution transport through large porous media J. Chabokpour et al. 10.1007/s13762-020-02766-1
- A staggered approach to flash flood forecasting – case study in the Cévennes region L. Alfieri et al. 10.5194/adgeo-29-13-2011
- Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China G. Fang et al. 10.1007/s12665-015-4244-7
- Morris method of sensitivity analysis applied to assess the importance of input variables on urban water supply yield – A case study D. King & B. Perera 10.1016/j.jhydrol.2012.10.017
- Evaluation of a Stepwise, Multiobjective, Multivariable Parameter Optimization Method for the APEX Model G. Senaviratne et al. 10.2134/jeq2013.12.0509
- Multi-Objective Sensitivity Analysis of a Fully Distributed Hydrologic Model WetSpa J. Yang et al. 10.1007/s11269-011-9908-9
- Quantifying the natural flood management potential of leaky dams in upland catchments, Part I: A data-based modelling approach Z. van Leeuwen et al. 10.1016/j.jhydrol.2023.130448
- An assessment of DBM flood forecasting models M. Vaughan & N. McIntyre 10.1680/wama.2012.165.2.105
- Uncertainty and sensitivity analysis: Mathematical model of coupled heat and mass transfer for a contact baking process A. Feyissa et al. 10.1016/j.jfoodeng.2011.09.012
- Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction P. Srivastava et al. 10.1002/hyp.9946
- Spatial and Temporal Analysis of Hydrological Provision Ecosystem Services for Watershed Conservation Planning of Water Resources M. Fan & H. Shibata 10.1007/s11269-014-0691-2
- Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis J. Yang 10.1016/j.envsoft.2010.10.007
- Errors in temporal disaggregation of temperature can lead to non-negligible biases in agroecosystem risk assessment S. Savalkar et al. 10.1016/j.agrformet.2024.109952
- Towards a new generation of agricultural system data, models and knowledge products: Design and improvement J. Antle et al. 10.1016/j.agsy.2016.10.002
- A two-stage sensitivity analysis for parameter identification and calibration of a physically-based distributed model in a river basin S. Sreedevi & T. Eldho 10.1080/02626667.2019.1602730
- Statistical Emulation of Large Linear Dynamic Models P. Young & M. Ratto 10.1198/TECH.2010.07151
- On the choice of calibration periods and objective functions: A practical guide to model parameter identification R. Romanowicz et al. 10.2478/s11600-013-0157-6
- Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling N. Hsieh et al. 10.3389/fphar.2018.00588
- Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China S. Ouyang et al. 10.1186/s13717-014-0014-9
- VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
- Assessment of a green roof practice using the coupled SWMM and HYDRUS models S. Baek et al. 10.1016/j.jenvman.2019.109920
- Simulating Water Resource Availability under Data Scarcity—A Case Study for the Ferghana Valley (Central Asia) I. Radchenko et al. 10.3390/w6113270
- Global sensitivity analysis for choosing the main soil parameters of a crop model to be determined H. Varella et al. 10.4236/as.2012.37116
- Stochastic modeling of expansion of starchy melts during extrusion P. Manepalli et al. 10.1016/j.jfoodeng.2018.10.005
- 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 of Groundwater Related Dike Stability under Extreme Loading Conditions T. van Woerkom et al. 10.3390/w13213041
- Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1 J. Zhu & M. Young 10.1111/j.1752-1688.2009.00312.x
- Ensemble Evaluation of Hydrologically Enhanced Noah-LSM: Partitioning of the Water Balance in High-Resolution Simulations over the Little Washita River Experimental Watershed E. Rosero et al. 10.1175/2010JHM1228.1
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
- Identification of rural land management signals in runoff response N. McIntyre & M. Marshall 10.1002/hyp.7774
- Modeling streamflow in headwater catchments: A data-based mechanistic grounded framework N. Fernandez et al. 10.1016/j.ejrh.2022.101243
- Reliability Assessment of Machine Learning Models in Hydrological Predictions Through Metamorphic Testing Y. Yang & T. Chui 10.1029/2020WR029471
- AN AUTOMATED METHOD FOR EXTENDING SENSITIVITY ANALYSIS TO MODEL FUNCTIONS J. HEARNE 10.1111/j.1939-7445.2009.00058.x
- Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments P. Garambois et al. 10.5194/hess-17-2305-2013
- Relative Importance of Input Parameters in the Modeling of Soil Moisture Dynamics of Small Urban Areas S. Nishat et al. 10.1061/(ASCE)HE.1943-5584.0000461
- A sensitivity analysis of tide-induced head fluctuations in coastal aquifers L. Slooten et al. 10.1016/j.jhydrol.2010.08.032
- Analysis of the behavior of a rainfall–runoff model using three global sensitivity analysis methods evaluated at different temporal scales C. Massmann & H. Holzmann 10.1016/j.jhydrol.2012.09.026
- Uncertainty analysis of a semi-distributed hydrologic model based on a Gaussian Process emulator J. Yang et al. 10.1016/j.envsoft.2017.11.037
- Quantitative Characterization of Population-Wide Tissue- and Metabolite-Specific Variability in Perchloroethylene Toxicokinetics in Male Mice C. Dalaijamts et al. 10.1093/toxsci/kfab057
- Emulation techniques for the reduction and sensitivity analysis of complex environmental models M. Ratto et al. 10.1016/j.envsoft.2011.11.003
- Sensitivity Analysis for Hydraulic Models J. Hall et al. 10.1061/(ASCE)HY.1943-7900.0000098
- Scaling and predicting solute transport processes in streams R. González‐Pinzón et al. 10.1002/wrcr.20280
- Biogas maximization using data-driven modelling with uncertainty analysis and genetic algorithm for municipal wastewater anaerobic digestion M. Asadi & K. McPhedran 10.1016/j.jenvman.2021.112875
- Modified Generalized Likelihood Uncertainty Estimation (GLUE) Methodology for Considering the Subjectivity of Likelihood Measure Selection Y. Zhang et al. 10.1061/(ASCE)HE.1943-5584.0000341
- Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems P. Young 10.1002/wrcr.20068
- Natural vs. artificial groundwater recharge, quantification through inverse modeling H. Hashemi et al. 10.5194/hess-17-637-2013
- An effective strategy for combining variance- and distribution-based global sensitivity analysis G. Baroni & T. Francke 10.1016/j.envsoft.2020.104851
- Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources A. Franczyk 10.1007/s11600-019-00356-5
- Screening and Optimizing the Sensitive Parameters of BTOPMC Model Based on UQ-PyL Software: Case Study of a Flood Event in the Fuji River Basin, Japan L. Liu et al. 10.1061/(ASCE)HE.1943-5584.0001970
- Testing probabilistic adaptive real‐time flood forecasting models P. Smith et al. 10.1111/jfr3.12055
- Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box E. Borgonovo et al. 10.1002/2017WR020767
- Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms K. Alghafli et al. 10.1016/j.gsd.2024.101389
- Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models A. Jacquin & A. Shamseldin 10.5194/hess-13-41-2009
- Parameter sensitivity analysis and optimization of Noah land surface model with field measurements from Huaihe River Basin, China T. Hou et al. 10.1007/s00477-015-1033-5
- Comprehensive evaluation of parameter importance and optimization based on the integrated sensitivity analysis system: A case study of the BTOP model in the upper Min River Basin, China L. Liu et al. 10.1016/j.jhydrol.2022.127819
- Sensitivity analysis of permeable pavement hydrological modelling in the Storm Water Management Model E. Madrazo-Uribeetxebarria et al. 10.1016/j.jhydrol.2021.126525
- Forests, water and food security in the northwestern highlands of Ethiopia: Knowledge synthesis S. Gebrehiwot 10.1016/j.envsci.2015.01.002
- Resolving challenges of groundwater flow modelling for improved water resources management: a narrative review S. Wali et al. 10.15406/ijh.2024.08.00390
- Structural uncertainty assessment in a discharge simulation model X. Zhang et al. 10.1080/02626667.2011.587426
- Effects of flood wave shape on probabilistic slope stability of dikes under transient groundwater conditions T. van Woerkom et al. 10.1080/17499518.2023.2222540
- Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model H. Varella et al. 10.1016/j.envsoft.2009.09.012
- A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
- Multi-method global sensitivity analysis of flood inundation models F. Pappenberger et al. 10.1016/j.advwatres.2007.04.009
- Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season E. Rosero et al. 10.1029/2009JD012035
- Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation Y. Tang et al. 10.5194/hess-11-793-2007
65 citations as recorded by crossref.
- Extended State Dependent Parameter modelling with a Data-Based Mechanistic approach to nonlinear model structure identification D. Mindham et al. 10.1016/j.envsoft.2018.02.015
- Derivation of new analytical solution for pollution transport through large porous media J. Chabokpour et al. 10.1007/s13762-020-02766-1
- A staggered approach to flash flood forecasting – case study in the Cévennes region L. Alfieri et al. 10.5194/adgeo-29-13-2011
- Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China G. Fang et al. 10.1007/s12665-015-4244-7
- Morris method of sensitivity analysis applied to assess the importance of input variables on urban water supply yield – A case study D. King & B. Perera 10.1016/j.jhydrol.2012.10.017
- Evaluation of a Stepwise, Multiobjective, Multivariable Parameter Optimization Method for the APEX Model G. Senaviratne et al. 10.2134/jeq2013.12.0509
- Multi-Objective Sensitivity Analysis of a Fully Distributed Hydrologic Model WetSpa J. Yang et al. 10.1007/s11269-011-9908-9
- Quantifying the natural flood management potential of leaky dams in upland catchments, Part I: A data-based modelling approach Z. van Leeuwen et al. 10.1016/j.jhydrol.2023.130448
- An assessment of DBM flood forecasting models M. Vaughan & N. McIntyre 10.1680/wama.2012.165.2.105
- Uncertainty and sensitivity analysis: Mathematical model of coupled heat and mass transfer for a contact baking process A. Feyissa et al. 10.1016/j.jfoodeng.2011.09.012
- Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction P. Srivastava et al. 10.1002/hyp.9946
- Spatial and Temporal Analysis of Hydrological Provision Ecosystem Services for Watershed Conservation Planning of Water Resources M. Fan & H. Shibata 10.1007/s11269-014-0691-2
- Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis J. Yang 10.1016/j.envsoft.2010.10.007
- Errors in temporal disaggregation of temperature can lead to non-negligible biases in agroecosystem risk assessment S. Savalkar et al. 10.1016/j.agrformet.2024.109952
- Towards a new generation of agricultural system data, models and knowledge products: Design and improvement J. Antle et al. 10.1016/j.agsy.2016.10.002
- A two-stage sensitivity analysis for parameter identification and calibration of a physically-based distributed model in a river basin S. Sreedevi & T. Eldho 10.1080/02626667.2019.1602730
- Statistical Emulation of Large Linear Dynamic Models P. Young & M. Ratto 10.1198/TECH.2010.07151
- On the choice of calibration periods and objective functions: A practical guide to model parameter identification R. Romanowicz et al. 10.2478/s11600-013-0157-6
- Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling N. Hsieh et al. 10.3389/fphar.2018.00588
- Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China S. Ouyang et al. 10.1186/s13717-014-0014-9
- VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
- Assessment of a green roof practice using the coupled SWMM and HYDRUS models S. Baek et al. 10.1016/j.jenvman.2019.109920
- Simulating Water Resource Availability under Data Scarcity—A Case Study for the Ferghana Valley (Central Asia) I. Radchenko et al. 10.3390/w6113270
- Global sensitivity analysis for choosing the main soil parameters of a crop model to be determined H. Varella et al. 10.4236/as.2012.37116
- Stochastic modeling of expansion of starchy melts during extrusion P. Manepalli et al. 10.1016/j.jfoodeng.2018.10.005
- 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 of Groundwater Related Dike Stability under Extreme Loading Conditions T. van Woerkom et al. 10.3390/w13213041
- Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1 J. Zhu & M. Young 10.1111/j.1752-1688.2009.00312.x
- Ensemble Evaluation of Hydrologically Enhanced Noah-LSM: Partitioning of the Water Balance in High-Resolution Simulations over the Little Washita River Experimental Watershed E. Rosero et al. 10.1175/2010JHM1228.1
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
- Identification of rural land management signals in runoff response N. McIntyre & M. Marshall 10.1002/hyp.7774
- Modeling streamflow in headwater catchments: A data-based mechanistic grounded framework N. Fernandez et al. 10.1016/j.ejrh.2022.101243
- Reliability Assessment of Machine Learning Models in Hydrological Predictions Through Metamorphic Testing Y. Yang & T. Chui 10.1029/2020WR029471
- AN AUTOMATED METHOD FOR EXTENDING SENSITIVITY ANALYSIS TO MODEL FUNCTIONS J. HEARNE 10.1111/j.1939-7445.2009.00058.x
- Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments P. Garambois et al. 10.5194/hess-17-2305-2013
- Relative Importance of Input Parameters in the Modeling of Soil Moisture Dynamics of Small Urban Areas S. Nishat et al. 10.1061/(ASCE)HE.1943-5584.0000461
- A sensitivity analysis of tide-induced head fluctuations in coastal aquifers L. Slooten et al. 10.1016/j.jhydrol.2010.08.032
- Analysis of the behavior of a rainfall–runoff model using three global sensitivity analysis methods evaluated at different temporal scales C. Massmann & H. Holzmann 10.1016/j.jhydrol.2012.09.026
- Uncertainty analysis of a semi-distributed hydrologic model based on a Gaussian Process emulator J. Yang et al. 10.1016/j.envsoft.2017.11.037
- Quantitative Characterization of Population-Wide Tissue- and Metabolite-Specific Variability in Perchloroethylene Toxicokinetics in Male Mice C. Dalaijamts et al. 10.1093/toxsci/kfab057
- Emulation techniques for the reduction and sensitivity analysis of complex environmental models M. Ratto et al. 10.1016/j.envsoft.2011.11.003
- Sensitivity Analysis for Hydraulic Models J. Hall et al. 10.1061/(ASCE)HY.1943-7900.0000098
- Scaling and predicting solute transport processes in streams R. González‐Pinzón et al. 10.1002/wrcr.20280
- Biogas maximization using data-driven modelling with uncertainty analysis and genetic algorithm for municipal wastewater anaerobic digestion M. Asadi & K. McPhedran 10.1016/j.jenvman.2021.112875
- Modified Generalized Likelihood Uncertainty Estimation (GLUE) Methodology for Considering the Subjectivity of Likelihood Measure Selection Y. Zhang et al. 10.1061/(ASCE)HE.1943-5584.0000341
- Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems P. Young 10.1002/wrcr.20068
- Natural vs. artificial groundwater recharge, quantification through inverse modeling H. Hashemi et al. 10.5194/hess-17-637-2013
- An effective strategy for combining variance- and distribution-based global sensitivity analysis G. Baroni & T. Francke 10.1016/j.envsoft.2020.104851
- Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources A. Franczyk 10.1007/s11600-019-00356-5
- Screening and Optimizing the Sensitive Parameters of BTOPMC Model Based on UQ-PyL Software: Case Study of a Flood Event in the Fuji River Basin, Japan L. Liu et al. 10.1061/(ASCE)HE.1943-5584.0001970
- Testing probabilistic adaptive real‐time flood forecasting models P. Smith et al. 10.1111/jfr3.12055
- Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box E. Borgonovo et al. 10.1002/2017WR020767
- Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms K. Alghafli et al. 10.1016/j.gsd.2024.101389
- Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models A. Jacquin & A. Shamseldin 10.5194/hess-13-41-2009
- Parameter sensitivity analysis and optimization of Noah land surface model with field measurements from Huaihe River Basin, China T. Hou et al. 10.1007/s00477-015-1033-5
- Comprehensive evaluation of parameter importance and optimization based on the integrated sensitivity analysis system: A case study of the BTOP model in the upper Min River Basin, China L. Liu et al. 10.1016/j.jhydrol.2022.127819
- Sensitivity analysis of permeable pavement hydrological modelling in the Storm Water Management Model E. Madrazo-Uribeetxebarria et al. 10.1016/j.jhydrol.2021.126525
- Forests, water and food security in the northwestern highlands of Ethiopia: Knowledge synthesis S. Gebrehiwot 10.1016/j.envsci.2015.01.002
- Resolving challenges of groundwater flow modelling for improved water resources management: a narrative review S. Wali et al. 10.15406/ijh.2024.08.00390
- Structural uncertainty assessment in a discharge simulation model X. Zhang et al. 10.1080/02626667.2011.587426
- Effects of flood wave shape on probabilistic slope stability of dikes under transient groundwater conditions T. van Woerkom et al. 10.1080/17499518.2023.2222540
- Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model H. Varella et al. 10.1016/j.envsoft.2009.09.012
- A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
- Multi-method global sensitivity analysis of flood inundation models F. Pappenberger et al. 10.1016/j.advwatres.2007.04.009
- Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season E. Rosero et al. 10.1029/2009JD012035
1 citations as recorded by crossref.
Saved (final revised paper)
Saved (preprint)
Latest update: 26 Dec 2024
Special issue