Bayesian analysis of input uncertainty in hydrological modeling: 2. Application

Keywords

Hydrograph, Computer science, Hydrological modelling, Uncertainty analysis, Bayesian probability

References

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Cited by

• Essays on the Quantification and Propagation of Uncertainty in Climate Change Impact Assessments for Water Resource SystemsScott Steinschneider — 2014
• Hydrologic Data Assimilation for Operational Streamflow ForecastingFeyera A. Hirpa — 2013
• Improving Alpine Flood Prediction through Hydrological Process Characterization and Uncertainty AnalysisC. Tobin — 2012
• Catchment scale hydrological modelling: a review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applicationsIlias Pechlivanidis, B. M. Jackson, Neil McIntyre — 2011
• Decomposing groundwater head variations into meteorological and pumping components: a synthetic studyV. Shapoori, Tim Peterson, Andrew W. Western — 2015
• Bayesian total error analysis for hydrologic models: Markov chain Monte Carlo methods to evaluate the posterior distributionG. Kuczera, Dmitri Kavetski, Benjamin Renard — 2007
• Climate Change and Atlantic salmon (Salmo salar): Changes in Flow and Freshwater Habitat in the Burrishoole CatchmentC. Broderick — 2012
• Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocationHeng Dai, Ming Ye — 2015
• Analyse de sensibilité et estimation de paramètres pour la modélisation hydrologique : potentiel et limitations des méthodes variationnellesWilliam Castaings — 2007
• Uncertainty based modeling of rainfall-runoff: Combined differential evolution adaptive Metropolis (DREAM) and K-means clusteringZahra Zahmatkesh, ‪Mohammad Karamouz, Sara Nazif — 2015
• Bayesian calibration of fluvial flood models for risk analysisL. Manning — 2011
• Resolving the integral connection between pedogenesis and landscape evolutionBudiman Minasny, Peter Finke, Uta Stockmann — 2015
• Uncertainty analysis in distributed hydrological modelling using a Bayesian frameworkJing Yang — 2007
• Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques: UNESCO-IHE PhD ThesisDurga Lal Shrestha — 2009
• Calibration of hydrological model GR2M using Bayesian uncertainty analysisDavid Huard, Alain Mailhot — 2008
• A conceptual precipitation-runoff modeling suite: Model selection, calibration and predictive uncertainty assessmentT. J. Smith — 2008
• Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approachWei Gong, Hoshin V. Gupta, Dawen Yang — 2013
• Linking statistical bias description to multiobjective model calibrationPeter Reichert, Nele Schuwirth — 2012
• Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water qualityHilary McMillan, Tobias Krueger, Jim Freer — 2012
• Product‐error‐driven generator of probable rainfall conditioned on WSR‐88D precipitation estimatesGabriele Villarini, Witold F. Krajewski, Grzegorz J. Ciach — 2009

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