Jasper A. Vrugt

发表

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

Cajo J. F. ter Braak, Martyn P. Clark, Jasper A. Vrugt, 2008 .

Microscopic Simulation Replicates the Capacity Drop Phenomenon

Jasper A. Vrugt, Felipe de Souza, Marjan Mosslemi, 2018, ANT/SEIT.

The Iterative Research Cycle: Process-Based Model Evaluation

Jasper A. Vrugt, 2014 .

Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling

Henrik Madsen, Dan Rosbjerg, Bruce A. Robinson, 2008 .

Embracing equifinality with efficiency : Limits of Acceptability sampling using the DREAM(LOA) algorithm

Jasper A. Vrugt, Keith Beven, Keith Beven, 2018 .

A toolbox for the optimal design of run-of-river hydropower plants

Jasper A. Vrugt, Veysel Yildiz, J. Vrugt, 2019, Environ. Model. Softw..

Reproducible Research in Vadose Zone Sciences

Jasper A. Vrugt, T. H. Skaggs, Michael H. Young, 2015 .

SOIL VAPOR EXTRACTION PILOT TEST AT TECHNICAL AREA 54, MATERIAL DISPOSAL AREA L: NUMERICAL MODELING IN SUPPORT OF DECISION ANALYSIS

Philip H. Stauffer, John K. Hopkins, Tom Anderson, 2007 .

Inverse Modeling of Soil Hydraulic Properties

Jasper A. Vrugt, Jacob H. Dane, 2006 .

PyDREAM: high-dimensional parameter inference for biological models in python

Jasper A. Vrugt, Carlos F. Lopez, Carlos F. Lopez, 2017, Bioinform..

Multi‐objective calibration of forecast ensembles using Bayesian model averaging

Martyn P. Clark, Bruce A. Robinson, Jasper A. Vrugt, 2006 .

Vadose Zone Journal: The First Ten Years

Michael H. Young, Jasper A. Vrugt, Dani Or, 2013 .

Comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Bryan A. Tolson and Christine A. Shoemaker

Soroosh Sorooshian, Ali Behrangi, Jasper A. Vrugt, 2008 .

The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment

Davood Moghadas, Jasper A. Vrugt, J. Vrugt, 2019, Remote. Sens..

Differential Evolution Markov Chain with snooker updater and fewer chains

Cajo J. F. ter Braak, Jasper A. Vrugt, C. Braak, 2008, Stat. Comput..

Uncertainty Quantification of Complex System Models: Bayesian Analysis

Jasper A. Vrugt, Elias C. Massoud, J. Vrugt, 2018 .

Supplement 1. Data on photosynthetic, climate, and plant functional types.

Jasper A. Vrugt, Nate G. McDowell, William L. Bauerle, 2016 .

Response to comment by Keith Beven on “Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?”

Bruce A. Robinson, Hoshin V. Gupta, Jasper A. Vrugt, 2009 .

MODELAVG: A MATLAB Toolbox for Postprocessing of Model Ensembles

Jasper A. Vrugt, J. Vrugt, 2015 .

Comment on paper “Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization” by Wang and Li

Bruce A. Robinson, Jasper A. Vrugt, James M. Hyman, 2010, Memetic Comput..

Application of parallel computing to stochastic parameter estimation in environmental models

Peter M. A. Sloot, Willem Bouten, Breanndán Ó Nualláin, 2006, Comput. Geosci..

A Strategy For Flow And Transport Model Development Using A Suite Of Models With Varying Levels Of Complexity To Support Conceptual And Parameter Uncertainty Analysis

Carl W. Gable, Elizabeth H. Keating, Jasper A. Vrugt, 2007 .

Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)

Liang Wei, Jasper A. Vrugt, Daniel M. Ricciuto, 2019, Geoscientific Model Development.

Toward Improved Identifiability of Soil Hydraulic Parameters

Willem Bouten, Hoshin Vijai Gupta, Jasper A. Vrugt, 2003 .

FDCFIT: A MATLAB Toolbox of Closed-form Parametric Expressions of the Flow Duration Curve

Jasper A. Vrugt, Mojtaba Sadegh, J. Vrugt, 2015 .

A dynamic approach to the identification of conceptual hydrological models

Soroosh Sorooshian, Hoshin Vijai Gupta, Thorsten Wagener, 2002 .

Toward Improved Identifiability of Soil Hydraulic Parameters: On the Selection of a Suitable Parametric Model

Willem Bouten, Hoshin Vijai Gupta, Jasper A. Vrugt, 2003 .

P-MOEA/D: A parallel decomposition-based multiple objective optimization scheme integrated within the DREAM software package

Eric Laloy, Jasper A. Vrugt, 2011 .

Explicit consideration of measurement uncertainty during Bayesian inversion of dispersive GPR data

Harry Vereecken, Johan A. Huisman, Jasper A. Vrugt, 2011, 2011 6th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).

Improved inverse modeling for flow and transport in subsurface media: Combined parameter and state estimation

Velimir V. Vesselinov, Jasper A. Vrugt, Bruce A. Robinson, 2005 .

UvA-DARE ( Digital Academic Repository ) Inverse modelling of in situ soil water dynamics : investigating the effect of different prior distributions of the soil hydraulic parameters

Michael Herbst, Jasper A. Vrugt, B. Scharnagl, 2011 .

DiffeRential Evolution Adaptive Metropolis with Sampling From Past States

Eric Laloy, Jasper A. Vrugt, Cajo J. F. Ter Braak, 2010 .

Toward improved identifiability of hydrologic model parameters: The information content of experimental data

Soroosh Sorooshian, Willem Bouten, Hoshin Vijai Gupta, 2002 .

On the need to establish an international soil modelling consortium

Marnik Vanclooster, Jan Vanderborght, Mathieu Javaux, 2014 .

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Avi Ostfeld, Andrea Castelletti, Joseph R. Kasprzyk, 2014, Environ. Model. Softw..

MATLAB codes of DREAM_(ZKS)

Guang Lin, Jasper A. Vrugt, Lingzao Zeng, 2017 .

Appendix G. Standardization of Vc,max25 and Jmax25.

Jasper A. Vrugt, Nate G. McDowell, William L. Bauerle, 2016 .

Comparison of point forecast accuracy of model averaging methods in hydrologic applications

Jasper A. Vrugt, Cees Diks, C. Diks, 2010 .

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Hans-Jörg Vogel, Jan Vanderborght, Mathieu Javaux, 2016 .

Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution

Jasper A. Vrugt, Guang Lin, Lingzao Zeng, 2017, Water Resources Research.

Vadose Zone Model–Data Fusion: State of the Art and Future Challenges

Johan Alexander Huisman, Jasper A. Vrugt, Ty P. A. Ferré, 2012 .

Speed-up of posterior inference of highly-parameterized environmental models from a Kalman proposal distribution: DREAM(KZS)

Guang Lin, Jasper A. Vrugt, Lingzao Zeng, 2017 .

Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces

Bruce A. Robinson, Jasper A. Vrugt, James M. Hyman, 2009, IEEE Transactions on Evolutionary Computation.

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

Johan Alexander Huisman, Jasper A. Vrugt, Gerrit Schoups, 2012 .

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

Jasper A. Vrugt, Eric Laloy, J. Vrugt, 2012 .

UvA-DARE ( Digital Academic Repository ) DREAM ( D ) : An adaptive Markov chain Monte Carlo simulation algorithm to solve discrete , noncontinuous , and combinatorial posterior parameter estimation problems

Jasper A. Vrugt, F BraakterC.J., J. Vrugt, 2011 .

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

Jasper A. Vrugt, Cees Diks, F BraakterC.J., 2012 .

Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?

Cajo J. F. ter Braak, Hoshin Vijai Gupta, Bruce A. Robinson, 2009 .

Ensemble Bayesian model averaging using Markov Chain Monte Carlo sampling

Martyn P. Clark, Jasper A. Vrugt, Cees Diks, 2008 .

Bayesian model selection: Evidence estimation based on DREAM simulation and bridge sampling

Elena Volpi, Jasper A. Vrugt, Gerrit Schoups, 2017 .

Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

Martyn P. Clark, Hoshin Vijai Gupta, Thorsten Wagener, 2008 .

Enhancing multi-objective evolutionary algorithm performance with Markov Chain Monte Carlo

Jasper A. Vrugt, L. S. Matott, B. Allen Tolson, 2009 .

Sequential Processing of Data: The Future of Inverse Modeling and Parameter Estimation? (Outstanding Young Scientist Lecture)

Jasper A. Vrugt, 2010 .

Towards a comprehensive assessment of model structural adequacy

Ming Ye, Martyn P. Clark, Hoshin V. Gupta, 2012 .

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

Jasper A. Vrugt, J. Vrugt, 2016, Environ. Model. Softw..

Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging

Bruce A. Robinson, Jasper A. Vrugt, J. Vrugt, 2007 .

A Computer Program for Integrating Probabilistic 3D Unsaturated Flow Simulations and Numerical Limit Analysis

Eurípedes do Amaral Vargas, Jasper A. Vrugt, Raquel Quadros Velloso, 2016 .

Multi-criteria Optimization Using the AMALGAM Software Package: Theory, Concepts, and MATLAB Implementation

Jasper A. Vrugt, J. Vrugt, 2016 .

A MATLAB Toolbox of Parametric Expressions of the Flow Duration Curve

Jasper A. Vrugt, Mojtaba Sadegh, J. Vrugt, 2016 .

Evaluation of subsurface drip irrigation design and management parameters for alfalfa

Jasper A. Vrugt, Jan W. Hopmans, Tamir Kamai, 2012 .

Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion

Hui Qin, Kun Zeng, Jasper A. Vrugt, 2016 .

Significant variation in vegetation characteristics and dynamics from ecohydrological optimality of net carbon profit

Jasper A. Vrugt, Stefan C. Dekker, S. Dekker, 2009 .

A global scale mechanistic model of the photosynthetic capacity

Joshua B. Fisher, Jasper A. Vrugt, Nate G. McDowell, 2015 .

The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC)

Elena Volpi, Jasper A. Vrugt, Chonggang Xu, 2015 .

Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data

Jasper A. Vrugt, Xiongyao Xie, Hui Qin, 2018, Automation in Construction.

Pareto front analysis of flight time and energy use in long-distance bird migration

Willem Bouten, Jasper A. Vrugt, W. Bouten, 2007 .

Introduction to the Special Section in Vadose Zone Journal: Parameter Identification and Uncertainty Assessment in the Unsaturated Zone

S. P. Neuman, Jasper A. Vrugt, Shlomo P. Neuman, 2006 .

Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States

Jasper A. Vrugt, Adam Luke, Amir AghaKouchak, 2017 .

Predicting Bird migration: data-driven versus concept-driven models

Willem Bouten, Jasper A. Vrugt, Judy Shamoun-Baranes, 2005 .

Combining multiobjective optimization and Bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

Jasper A. Vrugt, Thomas Wöhling, J. Vrugt, 2008 .

Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data

Jasper A. Vrugt, Thomas Wöhling, J. Vrugt, 2011 .

Model Calibration in Watershed Hydrology

Soroosh Sorooshian, Hoshin V. Gupta, Jasper A. Vrugt, 2009 .

Bayesian inverse modelling of in situ soil water dynamics: using prior information about the soil hydraulic properties

Harry Vereecken, Jasper A. Vrugt, Michael Herbst, 2011 .

Probabilistic inference of multi‐Gaussian fields from indirect hydrological data using circulant embedding and dimensionality reduction

Eric Laloy, Diederik Jacques, Niklas Linde, 2015 .

Multi-criteria optimization of a regional spatially-distributed subsurface water flow model

Wesley W. Wallender, Jasper A. Vrugt, Gerrit Schoups, 2005 .

Mass conservative three‐dimensional water tracer distribution from Markov chain Monte Carlo inversion of time‐lapse ground‐penetrating radar data

Eric Laloy, Niklas Linde, Jasper A. Vrugt, 2012 .

Obtaining the Spatial Distribution of Water Content along a TDR Probe Using the SCEM‐UA Bayesian Inverse Modeling Scheme

Willem Bouten, Johan Alexander Huisman, Jasper A. Vrugt, 2004 .

One‐, two‐, and three‐dimensional root water uptake functions for transient modeling

Jasper A. Vrugt, Jirka Simunek, Jan W. Hopmans, 2001 .

Aquifer structure identification using stochastic inversion

Velimir V. Vesselinov, Dylan R. Harp, Jasper A. Vrugt, 2008 .

Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus

Jasper A. Vrugt, David M. Karl, Michael W. Lomas, 2013, Proceedings of the National Academy of Sciences.

Semi-distributed parameter optimization and uncertainty assessment for large-scale streamflow simulation using global optimization / Optimisation de paramètres semi-distribués et évaluation de l'incertitude pour la simulation de débits à grande échelle par l'utilisation d'une optimisation globale

Jasper A. Vrugt, Luc Feyen, Milan Kalas, 2008 .

Characterizing parameter sensitivity and uncertainty for a snow model across hydroclimatic regimes

Steven A. Margulis, Terri S. Hogue, Jasper A. Vrugt, 2011 .

Inverse modeling of large-scale spatially distributed vadose zone properties using global optimization / W06503, doi:10.1029/2003WR002706

Wesley W. Wallender, Willem Bouten, Thomas Harter, 2004 .

Mass conservative three-dimensional water tracer 1 distribution from MCMC inversion of time-lapse 2 GPR data

Eric Laloy, Niklas Linde, Jasper A. Vrugt, 2012 .

Information content of data for identifying soil hydraulic parameters from outflow experiments

Willem Bouten, Jasper A. Vrugt, Albrecht H. Weerts, 2001 .

Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling

Elena Volpi, Jasper A. Vrugt, Gerrit Schoups, 2017 .

A Shuffled Complex Evolution Metropolis algorithm for estimating posterior distribution of watershed model parameters.

Soroosh Sorooshian, Willem Bouten, Hoshin Vijai Gupta, 2013 .

Comment on "How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?" by Y. Tang et al., Hydrol. Earth Syst. Sci., 10, 289–307, 2006

Jasper A. Vrugt, J. Vrugt, 2007 .

Inversion and sensitivity analysis of Ground Penetrating Radar data with waveguide dispersion using deterministic and Markov Chain Monte Carlo methods

Johan A. Huisman, Jasper A. Vrugt, Jutta Bikowski, 2011 .

Transpiration dynamics of an Austrian Pine stand and its forest floor: identifying controlling conditions using artificial neural networks

Willem Bouten, Jasper A. Vrugt, Stefan C. Dekker, 2002 .

Calibration of a two-dimensional root water uptake model

Jasper A. Vrugt, Jan W. Hopmans, J. Vrugt, 2001 .

Parameter optimisation and uncertainty assessment for large-scale streamflow simulation with the LISFLOOD model

Breanndán Ó Nualláin, Jasper A. Vrugt, Ad de Roo, 2007 .

Strong latitudinal patterns in the elemental ratios of marine plankton and organic matter

Jasper A. Vrugt, Michael W. Lomas, Simon A. Levin, 2013 .

Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation

Jasper A. Vrugt, Mojtaba Sadegh, J. Vrugt, 2013 .

State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter

Harrie-Jan Hendricks Franssen, Harry Vereecken, Jasper A. Vrugt, 2016 .

The soil water characteristic as new class of closed-form parametric expressions for the flow duration curve

Hoshin Vijai Gupta, Jasper A. Vrugt, Chonggang Xu, 2016 .

Inverse modeling of cloud-aerosol interactions - Part 2: Sensitivity tests on liquid phase clouds using a Markov Chain Monte Carlo based simulation approach

Jasper A. Vrugt, Armin Sorooshian, Annica M. L. Ekman, 2011 .

Confronting uncertainty in model-based geostatistics using Markov Chain Monte Carlo simulation

Budiman Minasny, Jasper A. Vrugt, Alex B. McBratney, 2011 .

Accuracy of frequency domain analysis scenarios for the determination of complex dielectric permittivity

Willem Bouten, Jasper A. Vrugt, Jef Huisman, 2004 .

Correction to “Toward improved identifiability of hydrologic model parameters: The information content of experimental data”

Soroosh Sorooshian, Willem Bouten, Hoshin Vijai Gupta, 2003 .

Hydraulic properties of a model dike from coupled Bayesian and multi-criteria hydrogeophysical inversion

Johan Alexander Huisman, Jasper A. Vrugt, H. Vereecken, 2010 .

Integrated analysis of waveguide dispersed GPR pulses using deterministic and Bayesian inversion methods

Johan Alexander Huisman, Harry Vereecken, Jasper A. Vrugt, 2012 .

Uncertainty quantification of GEOS-5 L-band radiative transfer model parameters using Bayesian inference and SMOS observations

Jasper A. Vrugt, Gabrielle De Lannoy, Rolf H. Reichle, 2014 .

Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach

Jasper A. Vrugt, Armin Sorooshian, Annica M. L. Ekman, 2011 .