Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination

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

(2010) Benjamin Renard et al.   WATER RESOURCES RESEARCH

Improving the Prediction of Winter Precipitation and Temperature over the Continental United States: Role of the ENSO State in Developing Multimodel Combinations

(2009) Naresh Devineni et al.   MONTHLY WEATHER REVIEW

Estimating the uncertain mathematical structure of a water balance model via Bayesian data assimilation

(2009) Nataliya Bulygina et al.   WATER RESOURCES RESEARCH

Multisite seasonal forecast of arid river flows using a dynamic model combination approach

(2009) Shahadat Chowdhury 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

Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework

(2009) A. Sankarasubramanian et al.   WATER RESOURCES RESEARCH

Water balance modeling over variable time scales based on the Budyko framework – Model development and testing

(2008) Lu Zhang et al.   JOURNAL OF HYDROLOGY

Can multi-model combination really enhance the prediction skill of probabilistic ensemble forecasts?

(2008) A. P. Weigel et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Calibration of hydrological model GR2M using Bayesian uncertainty analysis

(2008) David Huard et al.   WATER RESOURCES RESEARCH

Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations

(2008) Naresh Devineni et al.   WATER RESOURCES RESEARCH