C. M. DeChant

Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method

Hamid Moradkhani, C. M. DeChant, Soroosh Sorooshian · Water Resources Research · 2012 · 252 citations · Full text

Particle Filters, Variable Variance Multipliers, Engineering +15

Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting

C. M. DeChant, Hamid Moradkhani · Water Resources Research · 2012 · 209 citations · Full text

Hydrological Prediction, Engineering, Hydrologic Engineering +17

Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation

Mark A. Parrish, Hamid Moradkhani, C. M. DeChant · Water Resources Research · 2012 · 168 citations · Full text

Systematic Bias, Forecasting Methodology, Bayesian Decision Theory +26

Radiance data assimilation for operational snow and streamflow forecasting

C. M. DeChant, Hamid Moradkhani · Advances in Water Resources · 2010 · 164 citations

Hydrometeorology, Meteorology, Climatology +7

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

C. M. DeChant, Hamid Moradkhani · Hydrology and earth system sciences · 2011 · 138 citations · Full text

Hydrological Prediction, Engineering, Initial Condition +19