Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration

(2013) Guillaume Evin et al.   WATER RESOURCES RESEARCH

Post-processing hydrological ensemble predictions intercomparison experiment

(2012) Schalk Jan van Andel et al.   HYDROLOGICAL PROCESSES

Reply to comment by K. Beven et al. on “Pursuing the method of multiple working hypotheses for hydrological modeling”

(2012) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

Dynamic modeling of predictive uncertainty by regression on absolute errors

(2012) F. Pianosi et al.   WATER RESOURCES RESEARCH

Comment on “Pursuing the method of multiple working hypotheses for hydrological modeling” by P. Clark et al.

(2012) Keith Beven et al.   WATER RESOURCES RESEARCH

Linking statistical bias description to multiobjective model calibration

(2012) P. Reichert et al.   WATER RESOURCES RESEARCH

A blueprint for process-based modeling of uncertain hydrological systems

(2012) Alberto Montanari et al.   WATER RESOURCES RESEARCH

Systematic evaluation of autoregressive error models as post-processors for a probabilistic streamflow forecast system

(2011) Martin Morawietz et al.   JOURNAL OF HYDROLOGY

Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation

(2011) Benjamin Renard et al.   WATER RESOURCES RESEARCH

The open source RFortran library for accessing R from Fortran, with applications in environmental modelling

(2010) Mark Thyer et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Evaluation of statistical models for forecast errors from the HBV model

(2010) Kolbjørn Engeland et al.   JOURNAL OF HYDROLOGY

Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction

(2010) Dmitri Kavetski et al.   WATER RESOURCES RESEARCH

A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors

(2010) Gerrit Schoups et al.   WATER RESOURCES RESEARCH

Ancient numerical daemons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemes

(2010) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments

(2010) Tyler Smith et al.   WATER RESOURCES RESEARCH

Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors

(2010) Benjamin Renard et al.   WATER RESOURCES RESEARCH

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

(2009) Peter Reichert et al.   WATER RESOURCES RESEARCH

Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis

(2009) Mark Thyer et al.   WATER RESOURCES RESEARCH

So just why would a modeller choose to be incoherent?

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

Estimating the uncertainty of hydrological forecasts: A statistical approach

(2008) Alberto Montanari et al.   WATER RESOURCES RESEARCH

Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization

(2008) Zhenxing Zhang et al.   WATER RESOURCES RESEARCH

Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

(2008) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

Appraisal of the generalized likelihood uncertainty estimation (GLUE) method

(2008) Jery R. Stedinger et al.   WATER RESOURCES RESEARCH