Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters

[1]  Willy Bauwens,et al.  Sobol' sensitivity analysis of a complex environmental model , 2011, Environ. Model. Softw..

[2]  Elham Mahmoudi,et al.  Optimal measurement design for parameter identification in mechanized tunneling , 2018 .

[3]  Martyn P. Clark,et al.  Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models , 2008 .

[4]  Alberto Guadagnini,et al.  Multimodel framework for characterization of transport in porous media , 2015 .

[5]  Daniel A. McAdams,et al.  A Hybrid Sensitivity Analysis for Use in Early Design , 2010 .

[6]  Thorsten Wagener,et al.  Convergence of approaches toward reducing uncertainty in predictions in ungauged basins , 2011 .

[7]  Mary C. Hill,et al.  Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models , 2014 .

[8]  M. Riva,et al.  Estimation of Single‐Metal and Competitive Sorption Isotherms through Maximum Likelihood and Model Quality Criteria , 2012 .

[9]  R. Srinivasan,et al.  A global sensitivity analysis tool for the parameters of multi-variable catchment models , 2006 .

[10]  S. P. Neuman,et al.  Sensitivity analysis and assessment of prior model probabilities in MLBMA with application to unsaturated fractured tuff , 2005 .

[11]  Guangtao Fu,et al.  Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction , 2015 .

[12]  Alberto Guadagnini,et al.  Global sensitivity analyses of multiple conceptual models with uncertain parameters driving groundwater flow in a regional-scale sedimentary aquifer , 2019, Journal of Hydrology.

[13]  Alberto Guadagnini,et al.  Moment-based metrics for global sensitivity analysis of hydrological systems , 2017 .

[14]  B. Croke,et al.  Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R , 2013 .

[15]  Ming Ye,et al.  Expert elicitation of recharge model probabilities for the Death Valley regional flow system , 2008 .

[16]  Thomas Marke,et al.  Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany) , 2014 .

[17]  H. Gupta,et al.  A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application , 2016 .

[18]  Roberto Confalonieri,et al.  Sensitivity analysis of a sensitivity analysis: We are likely overlooking the impact of distributional assumptions , 2016 .

[19]  Mario Putti,et al.  Physically based modeling in catchment hydrology at 50: Survey and outlook , 2015 .

[20]  S. P. Neuman,et al.  Bayesian analysis of data-worth considering model and parameter uncertainties , 2012 .

[21]  T. Mara,et al.  Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms. , 2016, Journal of contaminant hydrology.

[22]  S. P. Neuman,et al.  On model selection criteria in multimodel analysis , 2007 .

[23]  W. Nowak,et al.  Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence , 2014, Water resources research.

[24]  Michael Habeck,et al.  Bayesian evidence and model selection , 2014, Digit. Signal Process..

[25]  Marcello Montanino,et al.  Do We Really Need to Calibrate All the Parameters? Variance-Based Sensitivity Analysis to Simplify Microscopic Traffic Flow Models , 2015, IEEE Transactions on Intelligent Transportation Systems.

[26]  José Ferrer,et al.  An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors , 2012, Environ. Model. Softw..

[27]  Keith Beven,et al.  A manifesto for the equifinality thesis , 2006 .

[28]  O. Redlich,et al.  A USEFUL ADSORPTION ISOTHERM , 1959 .

[29]  J. Bredehoeft.  The conceptualization model problem—surprise , 2005 .

[30]  Alberto Guadagnini,et al.  Use of global sensitivity analysis and polynomial chaos expansion for interpretation of nonreactive transport experiments in laboratory‐scale porous media , 2011 .

[31]  David Draper,et al.  Assessment and Propagation of Model Uncertainty , 2011 .

[32]  Rangasami L. Kashyap,et al.  Optimal Choice of AR and MA Parts in Autoregressive Moving Average Models , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Ming Ye,et al.  A new process sensitivity index to identify important system processes under process model and parametric uncertainty , 2017 .

[34]  Saman Razavi,et al.  Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models , 2018, Water Resources Research.

[35]  Saman Razavi,et al.  A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models , 2019, Environ. Model. Softw..

[36]  X. Zeng,et al.  Evaluating marginal likelihood with thermodynamic integration method and comparison with several other numerical methods , 2016 .

[37]  Jing Wang,et al.  Parameter sensitivity analysis of crop growth models based on the extended Fourier Amplitude Sensitivity Test method , 2013, Environ. Model. Softw..

[38]  H. Gupta,et al.  A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory , 2016 .

[39]  Yuqiong Liu,et al.  Reconciling theory with observations: elements of a diagnostic approach to model evaluation , 2008 .

[40]  W. Nowak,et al.  A Primer for Model Selection: The Decisive Role of Model Complexity , 2018 .

[41]  Ming Ye,et al.  Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation , 2015 .

[42]  Florian Pappenberger,et al.  Multi-method global sensitivity analysis of flood inundation models. , 2008 .

[43]  Guohe Huang,et al.  Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation , 2018 .

[44]  Ralf Takors,et al.  Sensitivity analysis for the reduction of complex metabolism models , 2004 .

[45]  A. Guadagnini,et al.  Interpretation of two-phase relative permeability curves through multiple formulations and Model Quality criteria , 2015 .

[46]  Emanuele Borgonovo,et al.  A new uncertainty importance measure , 2007, Reliab. Eng. Syst. Saf..

[47]  S. P. Neuman,et al.  Maximum likelihood Bayesian averaging of uncertain model predictions , 2003 .

[48]  Jasper A. Vrugt,et al.  Combining multiobjective optimization and Bayesian model averaging to calibrate forecast ensembles of soil hydraulic models , 2008 .

[49]  Misgana K. Muleta,et al.  Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model , 2005 .

[50]  X. Sanchez‐Vila,et al.  A risk assessment methodology to evaluate the risk failure of managed aquifer recharge in the Mediterranean Basin , 2018, Hydrology and Earth System Sciences.

[51]  Ming Ye,et al.  Maximum likelihood Bayesian averaging of spatial variability models in unsaturated fractured tuff , 2003 .

[52]  Agus Sudjianto,et al.  Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design , 2006 .

[53]  S. P. Neuman,et al.  Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 1. Maximum Likelihood Method Incorporating Prior Information , 1986 .

[54]  G. Schoups,et al.  Evaluation of Model Complexity and Input Uncertainty of Field‐Scale Water Flow and Salt Transport , 2006 .

[55]  Thorsten Wagener,et al.  Investigating controls on the thermal sensitivity of Pennsylvania streams , 2012 .

[56]  David Anderson,et al.  Multimodel Ranking and Inference in Ground Water Modeling , 2004, Ground water.

[57]  Wolfgang Nowak,et al.  The hydrologist’s guide to Bayesian model selection, averaging and combination , 2019, Journal of Hydrology.

[58]  Patrick M. Reed,et al.  From maps to movies: High-resolution time-varying sensitivity analysis for spatially distributed watershed models , 2013 .

[59]  M. Riva,et al.  Comparative assessment of three‐phase oil relative permeability models , 2016 .

[60]  Francesca Pianosi,et al.  A simple and efficient method for global sensitivity analysis based on cumulative distribution functions , 2015, Environ. Model. Softw..

[61]  Jim W. Hall,et al.  Sensitivity analysis of environmental models: A systematic review with practical workflow , 2014, Environ. Model. Softw..

[62]  Patrick M. Reed,et al.  Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling , 2009 .

[63]  Demetris Koutsoyiannis,et al.  HESS Opinions "A random walk on water" , 2009 .

[64]  Emanuele Borgonovo,et al.  Sensitivity analysis: A review of recent advances , 2016, Eur. J. Oper. Res..

[65]  Stefano Tarantola,et al.  A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study , 2014, Environ. Model. Softw..

[66]  Fei He,et al.  Sensitivity analysis and robust experimental design of a signal transduction pathway system , 2008 .