Catchments as simple dynamical systems: A case study on methods and data requirements for parameter identification

The importance of hydraulic groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert and Jean-Yves Parlange

(2013) Peter A. Troch et al.   WATER RESOURCES RESEARCH

Investigating storage-discharge relations in a lowland catchment using hydrograph fitting, recession analysis, and soil moisture data

(2013) C. C. Brauer et al.   WATER RESOURCES RESEARCH

Examining individual recession events instead of a data cloud: Using a modified interpretation of dQ/dt–Q streamflow recession in glaciated watersheds to better inform models of low flow

(2012) Stephen B. Shaw et al.   JOURNAL OF HYDROLOGY

Bayesian inference of uncertainties in precipitation-streamflow modeling in a snow affected catchment

(2012) J. J. Koskela et al.   WATER RESOURCES RESEARCH

Swiss prealpine Rietholzbach research catchment and lysimeter: 32 year time series and 2003 drought event

(2012) Sonia I. Seneviratne et al.   WATER RESOURCES RESEARCH

Hydrological model calibration using a short period of observations

(2011) T. Tada et al.   HYDROLOGICAL PROCESSES

On red herrings and real herrings: disinformation and information in hydrological inference

(2011) Keith Beven et al.   HYDROLOGICAL PROCESSES

Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment

(2011) Dmitri Kavetski et al.   WATER RESOURCES RESEARCH

Catchments as simple dynamical systems: Experience from a Swiss prealpine catchment

(2010) A. J. Teuling et al.   WATER RESOURCES RESEARCH

Catchments as simple dynamical systems: Catchment characterization, rainfall-runoff modeling, and doing hydrology backward

(2009) James W. Kirchner   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

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

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