Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling

Particle filters for high‐dimensional geoscience applications: A review

(2019) Peter Jan van Leeuwen et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

A review of threats to groundwater quality in the anthropocene

(2019) Nicole M. Burri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Data Assimilation and Online Parameter Optimization in Groundwater Modeling Using Nested Particle Filters

(2019) M. Ramgraber et al.   WATER RESOURCES RESEARCH

Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

(2018) Peyman Abbaszadeh et al.   ADVANCES IN WATER RESOURCES

A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters

(2018) Gaofeng Zhu et al.   ADVANCES IN WATER RESOURCES

The influence of riverbed heterogeneity patterns on river-aquifer exchange fluxes under different connection regimes

(2017) Q. Tang et al.   JOURNAL OF HYDROLOGY

Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter

(2017) Francesco Zovi et al.   JOURNAL OF HYDROLOGY

Understanding the Ensemble Kalman Filter

(2016) Matthias Katzfuss et al.   AMERICAN STATISTICIAN

Scripting MODFLOW Model Development Using Python and FloPy

(2016) M. Bakker et al.   Groundwater

Debates-Stochastic subsurface hydrology from theory to practice: A geologic perspective

(2016) Graham E. Fogg et al.   WATER RESOURCES RESEARCH

Debates-Stochastic subsurface hydrology from theory to practice: Does stochastic subsurface hydrology help solving practical problems of contaminant hydrogeology?

(2016) Olaf A. Cirpka et al.   WATER RESOURCES RESEARCH

Debates-Stochastic subsurface hydrology from theory to practice: Why stochastic modeling has not yet permeated into practitioners?

(2016) X. Sanchez-Vila et al.   WATER RESOURCES RESEARCH

Scripting MODFLOW Model Development Using Python and FloPy

(2016) M. Bakker et al.   Groundwater

Geological realism in hydrogeological and geophysical inverse modeling: A review

(2015) Niklas Linde et al.   ADVANCES IN WATER RESOURCES

Constraining distance-based multipoint simulations to proportions and trends

(2015) Gregoire Mariethoz et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Resampling Methods for Particle Filtering: Classification, implementation, and strategies

(2015) Tiancheng Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

Characterisation of river–aquifer exchange fluxes: The role of spatial patterns of riverbed hydraulic conductivities

(2015) Q. Tang et al.   JOURNAL OF HYDROLOGY

Performance Bounds for Particle Filters Using the Optimal Proposal

(2015) Chris Snyder et al.   MONTHLY WEATHER REVIEW

Global change and the groundwater management challenge

(2015) Steven M. Gorelick et al.   WATER RESOURCES RESEARCH

Representation errors and retrievals in linear and nonlinear data assimilation

(2014) Peter Jan van Leeuwen   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

emcee: The MCMC Hammer

(2013) Daniel Foreman-Mackey et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC

Current research in urban hydrogeology – A review

(2012) Mario Schirmer et al.   ADVANCES IN WATER RESOURCES

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

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

Seawater intrusion processes, investigation and management: Recent advances and future challenges

(2012) Adrian D. Werner et al.   ADVANCES IN WATER RESOURCES

Updating multipoint simulations using the ensemble Kalman filter

(2012) L.Y. Hu et al.   COMPUTERS & GEOSCIENCES

SMC2: an efficient algorithm for sequential analysis of state space models

(2012) N. Chopin et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

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

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

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

The Direct Sampling method to perform multiple-point geostatistical simulations

(2011) Gregoire Mariethoz et al.   WATER RESOURCES RESEARCH

Blocking Moving Window algorithm: Conditioning multiple-point simulations to hydrogeological data

(2010) Andres Alcolea et al.   WATER RESOURCES RESEARCH

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Particle Filtering in Geophysical Systems

(2009) Peter Jan van Leeuwen   MONTHLY WEATHER REVIEW

Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design

(2009) Behnam Jafarpour et al.   SPE JOURNAL

Sequential updating of multimodal hydrogeologic parameter fields using localization and clustering techniques

(2009) Alexander Y. Sun et al.   WATER RESOURCES RESEARCH

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