Model Calibration and Diagnostic EvaluationTitleAuthor / YearThemeCommentWhat do we mean by sensitivity analysis? The need for comprehensive characterization of ‘‘global’’ sensitivity in Earth and Environmental systems modelsRazavi et al. (2015)Sensitivity AnalysisLiterature reviewSensitivity analysis of environmental models: A systematic review with practical workflowPianosi et al. 2016Sensitivity AnalysisLiterature reviewThe Future of Sensitivity Analysis: An essential discipline for systems modeling and policy supportRazavi et al. (2021)Sensitivity AnalysisLiterature reviewIntroductory overview: Optimization using evolutionary algorithms and other metaheuristicsMaier et al. 2019CalibrationIntroductory overviewEvolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directionsMaier et al. 2014CalibrationLiterature reviewEvolutionary multiobjective optimization in water resources: The past, present, and futureReed et al. 2013CalibrationLiterature reviewGetting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrologyKirchner (2006)Model Calibration and ValidationCommentaryThe Abuse of Popular Performance Metrics in Hydrologic ModelingClark et al. (2021)Model Calibration and ValidationCommentaryTime to Update the Split-Sample Approach in Hydrological Model CalibrationShen et al. (2022)Model validationCommentaryParameter estimation and uncertainty analysis in hydrological modelingHerrera et al. (2022)Uncertainty AnalysisLiterature reviewOn the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessmentsDang et al. (2020)Water Management ModelingTechnical paperTowards parameter estimation in global hydrological modelsKupzig et al. (2023)Model calibrationTechnical paper
