Evaluating uncertainty in integrated environmental models: A review of concepts and tools
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L. Shawn Matott | S. Thomas Purucker | Justin Babendreier | L. Matott | S. Purucker | J. Babendreier
[1] Brian E. Skahill,et al. More efficient PEST compatible model independent model calibration , 2009, Environ. Model. Softw..
[2] Johnny Wei-Bing Lin. qtcm 0.1.2: a Python implementation of the Neelin-Zeng Quasi-Equilibrium Tropical Circulation Model , 2008 .
[3] David P Ahlfeld,et al. Impact of Simulation Model Solver Performance on Ground Water Management Problems , 2008, Ground water.
[4] Courtney A. Schultz. Responding to scientific uncertainty in U.S. forest policy , 2008 .
[5] Gemma Manache,et al. Identification of reliable regression- and correlation-based sensitivity measures for importance ranking of water-quality model parameters , 2008, Environ. Model. Softw..
[6] L. Matott,et al. Calibration of subsurface batch and reactive-transport models involving complex biogeochemical processes , 2008 .
[7] Stefano Tarantola,et al. Variance‐Based Methods , 2008 .
[8] Helena Mitasova,et al. Chapter Ten Free and Open Source Geospatial Tools for Environmental Modelling and Management , 2008 .
[9] Robert N. Stewart,et al. Chapter Twelve Building a Community Modelling and Information Sharing Culture , 2008 .
[10] S. P. Neuman,et al. On model selection criteria in multimodel analysis , 2007 .
[11] Peter A. Vanrolleghem,et al. Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..
[12] Andrea Saltelli,et al. An effective screening design for sensitivity analysis of large models , 2007, Environ. Model. Softw..
[13] J. B. Gregersen,et al. OpenMI: Open modelling interface , 2007 .
[14] John Doherty,et al. Parameter estimation and uncertainty analysis for a watershed model , 2007, Environ. Model. Softw..
[15] K. Lindenschmidt,et al. Structural uncertainty in a river water quality modelling system , 2007 .
[16] Jeroen P. van der Sluijs,et al. Uncertainty and precaution in environmental management: Insights from the UPEM conference , 2007, Environ. Model. Softw..
[17] Zhengdong Lu,et al. Fast neural network surrogates for very high dimensional physics-based models in computational oceanography , 2007, Neural Networks.
[18] Craig A. Aumann,et al. A methodology for developing simulation models of complex systems , 2007 .
[19] Alberto Montanari,et al. What do we mean by ‘uncertainty’? The need for a consistent wording about uncertainty assessment in hydrology , 2007 .
[20] Carlo Giupponi,et al. Environmental decision support systems: Current issues, methods and tools , 2007, Environ. Model. Softw..
[21] Keith Beven,et al. Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process , 2007 .
[22] Jasper A Vrugt,et al. Improved evolutionary optimization from genetically adaptive multimethod search , 2007, Proceedings of the National Academy of Sciences.
[23] Bryan A. Tolson,et al. Dynamically dimensioned search algorithm for computationally efficient watershed model calibration , 2007 .
[24] Jianguo Wu,et al. UNCERTAINTY ANALYSIS IN ECOLOGICAL STUDIES:AN OVERVIEW , 2006 .
[25] D. Kavetski,et al. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters , 2006 .
[26] Laura Painton Swiler,et al. Calibration, validation, and sensitivity analysis: What's what , 2006, Reliab. Eng. Syst. Saf..
[27] Jon C. Helton,et al. Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..
[28] C. Shoemaker,et al. Assessing the impacts of parameter uncertainty for computationally expensive groundwater models , 2006 .
[29] Max D. Morris,et al. Input screening: Finding the important model inputs on a budget , 2006, Reliab. Eng. Syst. Saf..
[30] A. OHagan,et al. Bayesian analysis of computer code outputs: A tutorial , 2006, Reliab. Eng. Syst. Saf..
[31] K. C. Abbaspour,et al. Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa , 2006 .
[32] Arnold W. Heemink,et al. Model inversion of transient nonlinear groundwater flow models using model reduction , 2006 .
[33] John Doherty,et al. An advanced regularization methodology for use in watershed model calibration , 2006 .
[34] Katri Rankinen,et al. An application of the GLUE methodology for estimating the parameters of the INCA-N model. , 2006, The Science of the total environment.
[35] James S. Clark,et al. A future for models and data in environmental science. , 2006, Trends in ecology & evolution.
[36] Anthony J. Jakeman,et al. Ten iterative steps in development and evaluation of environmental models , 2006, Environ. Model. Softw..
[37] J. Burnham. Scopus database: a review , 2006, Biomedical digital libraries.
[38] George Kuczera,et al. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory , 2006 .
[39] George Kuczera,et al. Bayesian analysis of input uncertainty in hydrological modeling: 2. Application , 2006 .
[40] John P. Norton,et al. To what extent, and how, might uncertainty be defined? Comments engendered by "Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support": Walker et al., Integrated Assessment 4: 1, 2003 , 2006 .
[41] Panos G Georgopoulos,et al. From a Theoretical Framework of Human Exposure and Dose Assessment to Computational System Implementation: The Modeling ENvironment for TOtal Risk Studies (MENTOR) , 2006, Journal of toxicology and environmental health. Part B, Critical reviews.
[42] Shengtai Li,et al. Sensitivity analysis of differential-algebraic equations and partial differential equations , 2005, Comput. Chem. Eng..
[43] M. Bakker. Analytic Element Modeling of Embedded Multiaquifer Domains , 2006, Ground water.
[44] J Alex,et al. Efficient modelling necessitates standards for model documentation and exchange. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[45] A van Griensven,et al. Methods to quantify and identify the sources of uncertainty for river basin water quality models. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[46] P Reichert. A standard interface between simulation programs and systems analysis software. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[47] Markus Neteler,et al. Free and Open Source Geospatial Tools for Environmental Modeling and Management , 2006 .
[48] E. G. Bekele,et al. Automatic Calibration of a Semi-Distributed Hydrologic Model Using Particle Swarm Optimization , 2005 .
[49] Nws. NOAA's Advanced Hydrologic Prediction Service , 2005 .
[50] Ayalew Kassahun,et al. Quality assurance in model based water management - review of existing practice and outline of new approaches , 2005, Environ. Model. Softw..
[51] J. Doherty,et al. A hybrid regularized inversion methodology for highly parameterized environmental models , 2005 .
[52] Dongbin Xiu,et al. High-Order Collocation Methods for Differential Equations with Random Inputs , 2005, SIAM J. Sci. Comput..
[53] Olaf David,et al. Developing natural resource models using the object modeling system: feasibility and challenges , 2005 .
[54] Karl J. Castleton,et al. Investigating uncertainty and sensitivity in integrated, multimedia environmental models: tools for FRAMES-3MRA , 2005, Environ. Model. Softw..
[55] G. Finzi,et al. Sensitivity analysis of ozone long term simulations to grid resolution , 2005 .
[56] Anthony J. Jakeman,et al. A Bayesian decision network approach for assessing the ecological impacts of salinity management , 2005, Math. Comput. Simul..
[57] Marianthi G. Ierapetritou,et al. A comparative assessment of efficient uncertainty analysis techniques for environmental fate and transport models: application to the FACT model , 2005 .
[58] Arnold W. Heemink,et al. Inverse modeling of groundwater flow using model reduction , 2005 .
[59] Yuguo Chen. Another look at rejection sampling through importance sampling , 2005 .
[60] Misgana K. Muleta,et al. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model , 2005 .
[61] Suhrid Balakrishnan,et al. Fast equivalent operational model of tropospheric alkane photochemistry , 2005 .
[62] Adrian Sandu,et al. Adjoint sensitivity analysis of regional air quality models , 2005 .
[63] Christina W. Tsai,et al. Evaluation of Probabilistic Point Estimate Methods in Uncertainty Analysis for Environmental Engineering Applications , 2005 .
[64] Qingyun Duan,et al. NOAA'S Advanced Hydrologic Prediction Service: Building Pathways for Better Science in Water Forecasting , 2005 .
[65] Wresting Environmental Decisions From an Uncertain World , 2005 .
[66] Holger R. Maier,et al. A parameter-bounding approach to sensitivity assessment of large simulation models , 2005 .
[67] James S. Clark,et al. Why environmental scientists are becoming Bayesians , 2004 .
[68] Ibrahim M. Khadam,et al. Use of soft information to describe the relative uncertainty of calibration data in hydrologic models , 2004 .
[69] John Marshall,et al. Evaluating carbon sequestration efficiency in an ocean circulation model by adjoint sensitivity analysis , 2004 .
[70] Fu‐Chun Wu,et al. Second-order Monte Carlo uncertainty/variability analysis using correlated model parameters: application to salmonid embryo survival risk assessment , 2004 .
[71] Anthony W. King,et al. Spatial Uncertainty and Ecological Models , 2004, Ecosystems.
[72] Henrik Madsen,et al. Including prior information in the estimation of effective soil parameters in unsaturated zone modelling , 2004 .
[73] J. Elsner,et al. A Hierarchical Bayesian Approach to Seasonal Hurricane Modeling , 2004 .
[74] Jon C. Helton,et al. Alternative representations of epistemic uncertainty , 2004, Reliab. Eng. Syst. Saf..
[75] R. M. Yager,et al. Effects of Model Sensitivity and Nonlinearity on Nonlinear Regression of Ground Water Flow , 2004, Ground water.
[76] Stefano Tarantola,et al. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models , 2004 .
[77] Mark E. Borsuk,et al. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis , 2004 .
[78] Robert M. Argent,et al. Concepts, methods and applications in environmental model integration , 2004, Environ. Model. Softw..
[79] L. M. Berliner,et al. Hierarchical Bayesian space-time models , 1998, Environmental and Ecological Statistics.
[80] Jens Christian Refsgaard,et al. Modelling guidelinesterminology and guiding principles , 2004 .
[81] C. M. Marin,et al. The 3MRA Risk Assessment Framework—A Flexible Approach for Performing Multimedia, Multipathway, and Multireceptor Risk Assessments Under Uncertainty , 2003 .
[82] Igor Linkov,et al. Model Uncertainty and Choices Made by Modelers: Lessons Learned from the International Atomic Energy Agency Model Intercomparisons † , 2003, Risk analysis : an official publication of the Society for Risk Analysis.
[83] S. Sorooshian,et al. Effective and efficient algorithm for multiobjective optimization of hydrologic models , 2003 .
[84] C. Wikle. Hierarchical Models in Environmental Science , 2003 .
[85] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[86] Anthony J. Jakeman,et al. Integrated assessment and modelling: features, principles and examples for catchment management , 2003, Environ. Model. Softw..
[87] Helen M. Regan,et al. Treatments of Uncertainty and Variability in Ecological Risk Assessment of Single-Species Populations , 2003 .
[88] John Doherty,et al. Ground Water Model Calibration Using Pilot Points and Regularization , 2003, Ground water.
[89] Neil McIntyre,et al. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis , 2003 .
[90] Ajay K. Gupta,et al. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems , 2002, Reliab. Eng. Syst. Saf..
[91] R. Eganhouse,et al. Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site. , 2001, Journal of contaminant hydrology.
[92] W. Walker,et al. Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .
[93] T. McGarity,et al. Legal Aspects of the Regulatory Use of Environmental Modeling , 2003 .
[94] Ângela Guimarães Pereira,et al. RIVM/MNP Guidance for Uncertainty Assessment and Communication: Detailed Guidance , 2003 .
[95] Jeffrey J. McDonnell,et al. On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration , 2002 .
[96] K. Beven. Towards a coherent philosophy for modelling the environment , 2002, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[97] D. Xiu,et al. Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos , 2002 .
[98] Jan Rotmans,et al. Uncertainty in Integrated Assessment Modelling , 2002 .
[99] G Kuczera,et al. Rigorous uncertainty assessment in contaminant transport inverse modelling: a case study of fluoride diffusion through clay liners. , 2002, Journal of contaminant hydrology.
[100] Enrico Zio,et al. Solving the inverse problem of parameter estimation by genetic algorithms: the case of a groundwater contaminant transport model , 2002 .
[101] Stephen C. Newbold. INTEGRATED MODELING FOR WATERSHED MANAGEMENT: MULTIPLE OBJECTIVES AND SPATIAL EFFECTS1 , 2002 .
[102] David Elizondo,et al. Automatic versus manual model differentiation to compute sensitivities and solve non-linear inverse problems , 2002 .
[103] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[104] D. Xiu,et al. Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos , 2002 .
[105] M. Di Luzio,et al. BETTER ASSESSMENT SCIENCE INTEGRATING POINT AND NONPOINT SOURCES (BASINS 3.0) , 2002 .
[106] M. B. Beck. Environmental Foresight and Models: A Manifesto , 2002 .
[107] Ilona Bärlund,et al. Ranking of parameters on the basis of their contribution to model uncertainty , 2001 .
[108] Jan Rotmans,et al. Uncertainty in Integrated Assessment Modelling: A Labyrinthic Path , 2001 .
[109] J Rotmans,et al. Uncertainty Management in Integrated Assessment Modeling: Towards a Pluralistic Approach , 2001, Environmental monitoring and assessment.
[110] Pao Shan Yu,et al. Comparison of uncertainty analysis methods for a distributed rainfall–runoff model , 2001 .
[111] I. Sobola,et al. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[112] Cynthia Sonich-Mullin,et al. Harmonizing the Incorporation of Uncertainty and Variability Into Risk Assessment: An International Approach , 2001 .
[113] B. Babbitt,et al. METHODS AND GUIDELINES FOR EFFECTIVE MODEL CALIBRATION , 2001 .
[114] I. Sobol. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[115] Miquel Sànchez-Marrè,et al. Environmental Decision Support Systems , 2001 .
[116] D. Vose. Risk Analysis: A Quantitative Guide , 2000 .
[117] S. Sorooshian,et al. A multistep automatic calibration scheme for river forecasting models , 2000 .
[118] Mary C. Hill,et al. Methods and Guidelines for Effective Model Calibration , 2000 .
[119] Stephen R. Kraemer,et al. Multimedia Integrated Modeling for Environmental Protection: Introduction to a Collaborative Framework , 2000 .
[120] Fabio Gagliardi Cozman,et al. Credal networks , 2000, Artif. Intell..
[121] Maarten Nauta,et al. Separation of uncertainty and variability in quantitative microbial risk assessment models. , 2000 .
[122] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[123] Thorkild Hvitved-Jacobsen,et al. Risk analysis using stochastic reliability methods applied to two cases of deterministic water quality models , 2000 .
[124] D. Solomatine,et al. Automatic calibration of groundwater models using global optimization techniques , 1999 .
[125] H. Rabitz,et al. General foundations of high‐dimensional model representations , 1999 .
[126] H. Christopher Frey,et al. Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs , 1999 .
[127] L. Shoemaker,et al. Better assessment science integrating point and nonpoint sources (BASINS), version 2.0. User`s manual , 1998 .
[128] S. Isukapalli,et al. Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems , 1998, Risk analysis : an official publication of the Society for Risk Analysis.
[129] Soroosh Sorooshian,et al. Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information , 1998 .
[130] Soroosh Sorooshian,et al. Multi-objective global optimization for hydrologic models , 1998 .
[131] David N. Lerner,et al. How Uncertain Is Our Estimate of a Wellhead Protection Zone? , 1998 .
[132] E. Poeter,et al. Documentation of UCODE; a computer code for universal inverse modeling , 1998 .
[133] A. Saltelli,et al. Sensitivity analysis of an environmental model: an application of different analysis methods , 1997 .
[134] M. B. Beck,et al. On the problem of model validation for predictive exposure assessments , 1997 .
[135] Enoch M. Dlamini,et al. Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling , 1997 .
[136] Olli Varis,et al. Bayesian decision analysis for environmental and resource management , 1997 .
[137] Richard A. Davis,et al. Introduction to time series and forecasting , 1998 .
[138] T. Gan,et al. Automatic Calibration of Conceptual Rainfall-Runoff Models: Optimization Algorithms, Catchment Conditions, and Model Structure , 1996 .
[139] Clinton N Dawson,et al. Probabilistic modeling of aquifer heterogeneity using reliability methods , 1996 .
[140] Christian Bischof,et al. Adifor 2.0: automatic differentiation of Fortran 77 programs , 1996 .
[141] S. L. Markstrom,et al. The modular modeling system (MMS) — The physical process modeling component of a database-centered decision support system for water and power management , 1996 .
[142] P. Young,et al. Simplicity out of complexity in environmental modelling: Occam's razor revisited. , 1996 .
[143] Andreas Griewank,et al. Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++ , 1996, TOMS.
[144] J. Norton. Roles for deterministic bounding in environmental modelling , 1996 .
[145] David Andrew Barry,et al. Assessing uncertainty in subsurface solute transport: efficient first-order reliability methods , 1995 .
[146] F. O. Hoffman,et al. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.
[147] D. Hamby. A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.
[148] A. Jakeman,et al. How much complexity is warranted in a rainfall‐runoff model? , 1993 .
[149] Serafín Moral,et al. An axiomatic framework for propagating uncertainty in directed acyclic networks , 1993, Int. J. Approx. Reason..
[150] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .
[151] S. Sorooshian,et al. Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .
[152] John D. Bredehoeft,et al. Ground-water models cannot be validated , 1992 .
[153] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .
[154] Jerome R. Ravetz,et al. Uncertainty and Quality in Science for Policy , 1990 .
[155] Max Henrion,et al. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .
[156] Hannes Werthner,et al. Environmental decision support systems , 1989 .
[157] Petre Stoica,et al. Decentralized Control , 2018, The Control Systems Handbook.
[158] M. B. Beck,et al. Water quality modeling: A review of the analysis of uncertainty , 1987 .
[159] George Z. Gertner,et al. Approximating Precision in Simulation Projections: An Efficient Alternative to Monte Carlo Methods , 1987, Forest Science.
[160] J. P. Norton,et al. Identification and application of bounded-parameter models , 1985, Autom..
[161] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[162] R. Iman,et al. A distribution-free approach to inducing rank correlation among input variables , 1982 .
[163] D. C. Cox,et al. Methods for Uncertainty Analysis: A Comparative Survey , 1981 .
[164] G. Hornberger,et al. Approach to the preliminary analysis of environmental systems , 1981 .
[165] R. Spear. Eutrophication in peel inlet—II. Identification of critical uncertainties via generalized sensitivity analysis , 1980 .
[166] K.,et al. Nonlinear sensitivity analysis of multiparameter model systems , 1977 .
[167] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[168] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[169] Kenneth Levenberg. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .