Using discharge data to reduce structural deficits in a hydrological model with a Bayesian inference approach and the implications for the prediction of critical source areas

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

(2011) J. A. Vrugt et al.   INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology

(2010) P. Reichert et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters

(2009) Peter Reichert et al.   WATER RESOURCES RESEARCH

Source area effects on herbicide losses to surface waters—A case study in the Swiss Plateau

(2008) L FREITAS et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

A mechanistic model of benthos community dynamics in the River Sihl, Switzerland

(2008) NELE SCHUWIRTH et al.   FRESHWATER BIOLOGY

So just why would a modeller choose to be incoherent?

(2008) Keith J. Beven et al.   JOURNAL OF HYDROLOGY

Predicting critical source areas for diffuse herbicide losses to surface waters: Role of connectivity and boundary conditions

(2008) Martin P. Frey et al.   JOURNAL OF HYDROLOGY

A tutorial on adaptive MCMC

(2008) Christophe Andrieu et al.   STATISTICS AND COMPUTING

Calibration of hydrological model GR2M using Bayesian uncertainty analysis

(2008) David Huard et al.   WATER RESOURCES RESEARCH

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

(2008) Jasper A. Vrugt et al.   WATER RESOURCES RESEARCH

Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas

(2007) Zachary M. Easton et al.   JOURNAL OF HYDROLOGY