Introduction Part I: Foundations - Basic Conceptions in Simulation Model Validation What Is Validation of Computer Simulations? Towards a Clarification of the Concept of Validation and Related Notions Claus Beisbart Simulation Accuracy, Uncertainty, and Predictive Capability: A Physical Sciences Perspective William Oberkampf Verification and Validation Principles from a Systems Perspective David J. Murray-Smith Errors and Uncertainties: Their Sources and Treatment Christopher J. Roy Part II: Foundations - Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation Invalidation of Models and Fitness-for-purpose: A Rejectionist Approach Keith Beven & Stuart Lane Simulation Validation from a Bayesian Perspective Claus Beisbart Validation of Computer Simulations from a Kuhnian Perspective Eckhart Arnold Understanding Simulation Validation - The Hermeneutic Perspective Nicole J. Saam Part III: Methodology - Preparatory Steps Assessing the Credibility of Conceptual Models Axel Gelfert The Foundations of Verification in Modeling and Simulation William J. Rider The Method of Manufactured Solutions for Code Verification Patrick J. Roache Validation Metrics: A Case for Pattern-based Methods Robert E. Marks Analyzing Output from Stochastic Computer Simulations: An Overview Christine Currie Part IV: Methodology - Points of Reference and Related Techniques The Use of Experimental Data in Simulation Model Validation David J. Murray-Smith How to Use and Derive Stylized Facts for Validating Simulation Models Matthias Meyer The Users'' Judgements - The Stakeholder Approach to Simulation Validation Nicole J.
Saam Validation Benchmarks and Related Metrics Nicole J. Saam Part V: Methodology - Mathematical Frameworks and Related Techniques Testing Simulation Models Using Frequentist Statistics Andrew P. Robinson Validation Using Bayesian Methods Xiaomo Jiang, Xueyu Cheng & Yong Yuan Imprecise Probabilities Seamus Bradley Objective Uncertainty Quantification Ed Dougherty, Lori Dalton & Roozbeh Dehghannasiri Part VI: Methodology - The Organization and Management of Simulation Validation Standards for Evaluation of Atmospheric Models in Environmental Meteorology K. Heinke Schluenzen The Management of Simulation Validation Fei Liu &Ming Yang Valid and Reproducible Simulation Studies - Making It Explicit Oliver Reinhardt, Tom Warnke, Andreas Ruscheinski & Adelinde M. Uhrmacher Part VII: Validation at Work - Best Practice-Examples Validation of Particle Physics Simulation Peter Mättig Validation in Fluid Dynamics and Related Fields Patrick J. Roache Astrophysical Validation Alan C. Calder & Dean M. Townsley Validation in Weather Forecasting Susanne Theis & Michael Baldauf Validation of Climate Models: An Essential Practice Richard B.
Rood Validation of Agent-based Models in Economics and Finance Giorgio Fagiolo, Mattia Guerini, Francesco Lamperti, Alessio Moneta & Andrea Roventini Part VIII: Challenges in Simulation Model Validation Validation and Equifinality Keith Beven Validation and Overparameterization - Experiences from Hydrological Modeling Jan Seibert, Maria Staudinger & Ilja van Meerveld Uncertainty Quantification Using Multiple Models - Prospects and Challenges Reto Knutti, Christoph Baumberger & Gertrude Hirsch Hadorn Challenges to Simulation Validation in the Social Sciences - A critical-rationalist perspective Michael Mäs Validation and the Uniqueness of Historical Events Josef Köstlbauer Part IX: Reflecting on Simulation Validation: Philosophical Perspectives and Discussion Points What Is a Computer Simulation and What Does This Mean for Simulation Validation? Claus Beisbart How Do the Validations of Simulations and Experiments Compare? Anouk Barberousse & Julie Jebeile How Does Holism Challenge the Validation of Computer Simulation? Johannes Lenhard What Types of Values Enter Simulation Validation and What are Their Roles? Gertrude Hirsch Hadorn & Christoph Baumberger Calibration, Validation, and Confirmation Mathias Frisch Should Validation and Verification Be Separated Strictly? Claus Beisbart The Multi-Dimensional Epistemology of Computer Simulations: Novel Issues and the Need to Avoid the Drunkard''s Search Fallacy Cyrille Imbert.