Improving particle filters in rainfall-runoff models: Application of the resample-move step and the ensemble Gaussian particle filter

Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications

(2012) Jasper A. Vrugt et al.   ADVANCES IN WATER RESOURCES

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

(2012) Marc Leisenring et al.   JOURNAL OF HYDROLOGY

Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments

(2012) Joerg Rings et al.   WATER RESOURCES RESEARCH

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

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

(2012) Hamid Moradkhani 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

Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters*

(2011) Ibrahim Hoteit et al.   MONTHLY WEATHER REVIEW

Particle Filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions

(2010) Karthik Nagarajan et al.   ADVANCES IN WATER RESOURCES

Bridging the ensemble Kalman filter and particle filters: the adaptive Gaussian mixture filter

(2010) Andreas S. Stordal et al.   COMPUTATIONAL GEOSCIENCES

Particle Markov chain Monte Carlo methods

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

Snow water equivalent prediction using Bayesian data assimilation methods

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

Data assimilation with the weighted ensemble Kalman filter

(2010) Nicolas Papadakis et al.   TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY

A New Approximate Solution of the Optimal Nonlinear Filter for Data Assimilation in Meteorology and Oceanography

(2008) I. Hoteit et al.   MONTHLY WEATHER REVIEW