Using Markov Chain Monte Carlo to quantify parameter uncertainty and its effect on predictions of a groundwater flow model
- 30 June 2009
- journal article
- Published by Elsevier BV in Environmental Modelling & Software
- Vol. 24 (6), 749-763
- https://doi.org/10.1016/j.envsoft.2008.11.002
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Correlations Between Parameters in Risk Models: Estimation and Propagation of Uncertainty by Markov Chain Monte CarloRisk Analysis, 2003
- Forward and backward uncertainty propagation: an oxidation ditch modelling exampleWater Research, 2002
- Rigorous uncertainty assessment in contaminant transport inverse modelling: a case study of fluoride diffusion through clay linersJournal of Contaminant Hydrology, 2002
- A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall‐runoff modelingWater Resources Research, 2001
- Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methodsWater Resources Research, 2000
- A Bayesian Approach to parameter estimation and pooling in nonlinear flood event modelsWater Resources Research, 1999
- Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statisticsJournal of Geophysical Research: Oceans, 1994
- Prophecy, reality and uncertainty in distributed hydrological modellingAdvances in Water Resources, 1993
- The future of distributed models: Model calibration and uncertainty predictionHydrological Processes, 1992
- Water quality modeling: A review of the analysis of uncertaintyWater Resources Research, 1987