Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre- and Post-Processing in Sequential Data Assimilation

Towards robust quantification and reduction of uncertainty in hydrologic predictions: Integration of particle Markov chain Monte Carlo and factorial polynomial chaos expansion

(2017) S. Wang et al.   JOURNAL OF HYDROLOGY

Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model

(2017) Tianfang Xu et al.   WATER RESOURCES RESEARCH

Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation

(2016) S. Pathiraja et al.   ADVANCES IN WATER RESOURCES

Understanding the time-varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis

(2016) Francesca Pianosi et al.   HYDROLOGICAL PROCESSES

Evaluating uncertainties in multi-layer soil moisture estimation with support vector machines and ensemble Kalman filtering

(2016) Di Liu et al.   JOURNAL OF HYDROLOGY

Data-worth analysis through probabilistic collocation-based Ensemble Kalman Filter

(2016) Cheng Dai et al.   JOURNAL OF HYDROLOGY

Hydrologic modeling in dynamic catchments: A data assimilation approach

(2016) S. Pathiraja et al.   WATER RESOURCES RESEARCH

Optimal ensemble size of ensemble Kalman filter in sequential soil moisture data assimilation

(2015) Jifu Yin et al.   GEOPHYSICAL RESEARCH LETTERS

On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments

(2015) A. Thiboult et al.   JOURNAL OF HYDROLOGY

Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations

(2015) Mohammad Mahdi Rajabi et al.   JOURNAL OF HYDROLOGY

A fractional factorial probabilistic collocation method for uncertainty propagation of hydrologic model parameters in a reduced dimensional space

(2015) S. Wang et al.   JOURNAL OF HYDROLOGY

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

(2015) Xiaomeng Song et al.   JOURNAL OF HYDROLOGY

Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation

(2015) Heng Dai et al.   JOURNAL OF HYDROLOGY

A polynomial chaos ensemble hydrologic prediction system for efficient parameter inference and robust uncertainty assessment

(2015) S. Wang et al.   JOURNAL OF HYDROLOGY

An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models

(2015) M.E. Gharamti et al.   JOURNAL OF HYDROLOGY

Comparison of Ensemble Kalman Filter groundwater-data assimilation methods based on stochastic moment equations and Monte Carlo simulation

(2014) M. Panzeri et al.   ADVANCES IN WATER RESOURCES

Impact of streamflow data assimilation and length of the verification period on the quality of short-term ensemble hydrologic forecasts

(2014) A. Randrianasolo et al.   JOURNAL OF HYDROLOGY

Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models

(2014) Arezoo Rafieeinasab et al.   JOURNAL OF HYDROLOGY

Assessing model state and forecasts variation in hydrologic data assimilation

(2014) Jos Samuel et al.   JOURNAL OF HYDROLOGY

Polynomial Chaos expansion for subsurface flows with uncertain soil parameters

(2013) P. Sochala et al.   ADVANCES IN WATER RESOURCES

Dual states estimation of a subsurface flow-transport coupled model using ensemble Kalman filtering

(2013) Mohamad El Gharamti et al.   ADVANCES IN WATER RESOURCES

Hypothetico-inductive data-based mechanistic modeling of hydrological systems

(2013) Peter C. Young   WATER RESOURCES RESEARCH

Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer

(2012) Valentina Ciriello et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography

(2012) A. Schöniger et al.   WATER RESOURCES RESEARCH

An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

(2011) Haiyan Zhou et al.   ADVANCES IN WATER RESOURCES

Probabilistic collocation and lagrangian sampling for advective tracer transport in randomly heterogeneous porous media

(2011) Florian Müller et al.   ADVANCES IN WATER RESOURCES

State and parameter update in a coupled energy/hydrologic balance model using ensemble Kalman filtering

(2011) C. Cammalleri et al.   JOURNAL OF HYDROLOGY

Use of global sensitivity analysis and polynomial chaos expansion for interpretation of nonreactive transport experiments in laboratory-scale porous media

(2011) Noura Fajraoui et al.   WATER RESOURCES RESEARCH

Correcting the mathematical structure of a hydrological model via Bayesian data assimilation

(2011) Nataliya Bulygina et al.   WATER RESOURCES RESEARCH

Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter

(2010) Xianhong Xie et al.   ADVANCES IN WATER RESOURCES

Hydrologic Modeling of an Extreme Flood in the Guadalupe River in Texas1

(2010) Hatim O. Sharif et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

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

(2010) Benjamin Renard et al.   WATER RESOURCES RESEARCH

Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation

(2009) Dongryeol Ryu et al.   JOURNAL OF HYDROMETEOROLOGY

State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter

(2009) Dingbao Wang et al.   WATER RESOURCES RESEARCH

Ensemble-based assimilation of discharge into rainfall-runoff models: A comparison of approaches to mapping observational information to state space

(2009) Valentijn R. N. Pauwels et al.   WATER RESOURCES RESEARCH

Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model

(2008) Martyn P. Clark et al.   ADVANCES IN WATER RESOURCES

Comparison of deterministic ensemble Kalman filters for assimilating hydrogeological data

(2008) Alexander Y. Sun et al.   ADVANCES IN WATER RESOURCES

Adaptive Soil Moisture Profile Filtering for Horizontal Information Propagation in the Independent Column-Based CLM2.0

(2008) Gabriëlle J. M. De Lannoy et al.   JOURNAL OF HYDROMETEOROLOGY