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A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations.Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity.Model-based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments.Sensitivity analysis of environmental models: A systematic review with practical workflowA mechanistic hydro-epidemiological model of liver fluke riskEpistemic uncertainties and natural hazard risk assessment. 1. A review of different natural hazard areasDecision Analysis for Management of Natural HazardsAdvancing catchment hydrology to deal with predictions under changeGrand Challenges for Hydrology Education in the 21st CenturySimultaneous calibration of hydrological models in geographical spaceCalibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniquesDrought in a human-modified world: reframing drought definitions, understanding, and analysis approachesThe evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?Understanding hydrologic variability across Europe through catchment classificationAccounting for dependencies in regionalized signatures for predictions in ungauged catchmentsLand surface model performance using cosmic-ray and point-scale soil moisture measurements for calibrationCharacterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understandingDealing with deep uncertainties in landslide modelling for disaster risk reduction under climate changeThe future of hydrology: An evolving science for a changing worldDrought in the AnthropoceneAccelerating advances in continental domain hydrologic modelingSimulating runoff under changing climatic conditions: a framework for model improvementHuman impact on long-term organic carbon export to riversReply to comment by Añel on “Most computational hydrology is not reproducible, so is it really science?”Reply to comment by Melsen et al. on “Most computational hydrology is not reproducible, so is it really science?”A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulationsComparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT modelQuantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation modelCorrelation and causation in tree-ring-based reconstruction of paleohydrology in cold semiarid regionsGlobal Sensitivity Analysis of environmental models: Convergence and validationMost computational hydrology is not reproducible, so is it really science?Uncertainty in hydrological signatures for gauged and ungauged catchmentsUnderstanding the time-varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysisUnraveling complex hydrogeological processes in Andean basins in south-central Chile: An integrated assessment to understand hydrological dissimilarityA Matlab toolbox for Global Sensitivity AnalysisA multi-criteria penalty function approach for evaluating a priori model parameter estimatesA simple and efficient method for global sensitivity analysis based on cumulative distribution functionsEstimating the regional climate responses over river basins to changes in tropical sea surface temperature patternsA new approach to visualizing time-varying sensitivity indices for environmental model diagnostics across evaluation time-scalesCatchment similarity concepts for understanding dynamic biogeochemical behaviour of river basins
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P50
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Thorsten Wagener
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