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

Towards improved post-processing of hydrologic forecast ensembles

(2012) Shahrbanou Madadgar et al.   HYDROLOGICAL PROCESSES

Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation

(2012) Marc Leisenring et al.   JOURNAL OF HYDROLOGY

Ensemble Streamflow Prediction: Climate signal weighting methods vs. Climate Forecast System Reanalysis

(2012) Mohammad Reza Najafi et al.   JOURNAL OF HYDROLOGY

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

(2012) Caleb M. DeChant et al.   WATER RESOURCES RESEARCH

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

(2012) Mark A. Parrish et al.   WATER RESOURCES RESEARCH

Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter

(2011) Carsten Montzka et al.   JOURNAL OF HYDROLOGY

Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers

(2011) Erwin Jeremiah et al.   WATER RESOURCES RESEARCH

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

(2011) Benjamin Renard et al.   WATER RESOURCES RESEARCH

Radiance data assimilation for operational snow and streamflow forecasting

(2010) Caleb Dechant et al.   ADVANCES IN WATER RESOURCES

Particle Markov chain Monte Carlo methods

(2010) Christophe Andrieu et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

How Bayesian data assimilation can be used to estimate the mathematical structure of a model

(2010) Nataliya Bulygina et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Snow water equivalent prediction using Bayesian data assimilation methods

(2010) Marc Leisenring et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter

(2009) Peter Salamon et al.   JOURNAL OF HYDROLOGY

Particle Filtering in Geophysical Systems

(2009) Peter Jan van Leeuwen   MONTHLY WEATHER REVIEW

Obstacles to High-Dimensional Particle Filtering

(2008) Chris Snyder et al.   MONTHLY WEATHER REVIEW

Hydrologic Remote Sensing and Land Surface Data Assimilation

(2008) Hamid Moradkhani   SENSORS

Real-time groundwater flow modeling with the Ensemble Kalman Filter: Joint estimation of states and parameters and the filter inbreeding problem

(2008) H. J. Hendricks Franssen et al.   WATER RESOURCES RESEARCH

Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques

(2008) Tyler Jon Smith et al.   WATER RESOURCES RESEARCH