Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations

An adaptive Gaussian process-based iterative ensemble smoother for data assimilation

(2018) Lei Ju et al.   ADVANCES IN WATER RESOURCES

A Reduced-Order Successive Linear Estimator for Geostatistical Inversion and its Application in Hydraulic Tomography

(2018) Yuanyuan Zha et al.   WATER RESOURCES RESEARCH

Improved Nested Sampling and Surrogate-Enabled Comparison With Other Marginal Likelihood Estimators

(2018) Xiankui Zeng et al.   WATER RESOURCES RESEARCH

An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

(2018) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Parameter estimation of soil hydraulic and thermal property functions for unsaturated porous media using the HYDRUS-2D code

(2018) Mohammad Nakhaei et al.   Journal of Hydrology and Hydromechanics

An adaptive surrogate modeling-based sampling strategy for parameter optimization and distribution estimation (ASMO-PODE)

(2017) Wei Gong et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Multi-fidelity Gaussian process regression for prediction of random fields

(2017) L. Parussini et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Inferring solutions of differential equations using noisy multi-fidelity data

(2017) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data assimilation of soil water flow via ensemble Kalman filter: Infusing soil moisture data at different scales

(2017) Penghui Zhu et al.   JOURNAL OF HYDROLOGY

Simultaneous state-parameter estimation supports the evaluation of data assimilation performance and measurement design for soil-water-atmosphere-plant system

(2017) Shun Hu et al.   JOURNAL OF HYDROLOGY

Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling

(2017) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

(2017) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Efficient evaluation of small failure probability in high-dimensional groundwater contaminant transport modeling via a two-stage Monte Carlo method

(2017) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

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

Improved characterization of heterogeneous permeability in saline aquifers from transient pressure data during freshwater injection

(2017) Peter K. Kang et al.   WATER RESOURCES RESEARCH

Multi-fidelity non-intrusive polynomial chaos based on regression

(2016) Pramudita Satria Palar et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

(2016) Jasper A. Vrugt   ENVIRONMENTAL MODELLING & SOFTWARE

Evaluating two sparse grid surrogates and two adaptation criteria for groundwater Bayesian uncertainty quantification

(2016) Xiankui Zeng et al.   JOURNAL OF HYDROLOGY

An adaptive Gaussian process-based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

(2016) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

An improved multilevel Monte Carlo method for estimating probability distribution functions in stochastic oil reservoir simulations

(2016) Dan Lu et al.   WATER RESOURCES RESEARCH

Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation

(2016) Alex Gorodetsky et al.   SIAM-ASA Journal on Uncertainty Quantification

Optimal allocation of computational resources in hydrogeological models under uncertainty

(2015) Mahsa Moslehi et al.   ADVANCES IN WATER RESOURCES

Parallel Inverse Modeling and Uncertainty Quantification for Computationally Demanding Groundwater-Flow Models Using Covariance Matrix Adaptation

(2015) Ahmed S. Elshall et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A Bayesian approach to improved calibration and prediction of groundwater models with structural error

(2015) Tianfang Xu et al.   WATER RESOURCES RESEARCH

Efficient Bayesian experimental design for contaminant source identification

(2015) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

A review of surrogate models and their application to groundwater modeling

(2015) M. J. Asher et al.   WATER RESOURCES RESEARCH

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

Constructive epistemic modeling of groundwater flow with geological structure and boundary condition uncertainty under the Bayesian paradigm

(2014) Ahmed S. Elshall et al.   JOURNAL OF HYDROLOGY

A Stochastic Collocation Algorithm with Multifidelity Models

(2014) Akil Narayan et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Assessment of parametric uncertainty for groundwater reactive transport modeling

(2014) Xiaoqing Shi et al.   WATER RESOURCES RESEARCH

RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY

(2014) Loic Le Gratiet et al.   International Journal for Uncertainty Quantification

Computational Aspects of Stochastic Collocation with Multifidelity Models

(2014) Xueyu Zhu et al.   SIAM-ASA Journal on Uncertainty Quantification

Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates

(2013) Ahmed H. Elsheikh et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Parameter and predictive outcomes of model simplification

(2013) Ty A. Watson et al.   WATER RESOURCES RESEARCH

Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

(2013) Eric Laloy et al.   WATER RESOURCES RESEARCH

Ensemble smoother with multiple data assimilation

(2012) Alexandre A. Emerick et al.   COMPUTERS & GEOSCIENCES

Review of surrogate modeling in water resources

(2012) Saman Razavi 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

A sparse grid based Bayesian method for contaminant source identification

(2011) Lingzao Zeng et al.   ADVANCES IN WATER RESOURCES

Review of strategies for handling geological uncertainty in groundwater flow and transport modeling

(2011) Jens Christian Refsgaard et al.   ADVANCES IN WATER RESOURCES

Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother

(2011) Yan Chen et al.   Mathematical Geosciences

Use of paired simple and complex models to reduce predictive bias and quantify uncertainty

(2011) John Doherty et al.   WATER RESOURCES RESEARCH

Pursuing the method of multiple working hypotheses for hydrological modeling

(2011) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

High-dimensional posterior exploration of hydrologic models using multiple-try DREAM(ZS) and high-performance computing

(2011) Eric Laloy et al.   WATER RESOURCES RESEARCH

Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality

(2010) Elizabeth H. Keating et al.   WATER RESOURCES RESEARCH

Inverse problems: A Bayesian perspective

(2010) A. M. Stuart   ACTA NUMERICA

Recent advances in surrogate-based optimization

(2009) Alexander I.J. Forrester et al.   PROGRESS IN AEROSPACE SCIENCES

Development and Applications of the HYDRUS and STANMOD Software Packages and Related Codes

(2008) Jirí Šimůnek et al.   VADOSE ZONE JOURNAL

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