Research Interests
My research group combines deterministic, stochastic, and analytic modeling with small and large-scale measurements to improve theory, understanding and predictability of complex Earth systems. Current emphasis is on the development of advanced model-data fusion methods (optimization, Bayesian analysis, model averaging, data assimilation) to reconcile (high-order) system models with data, with specific goal to detect model structural deficiencies for the purpose of learning and scientific discovery. We regularly use high-performance computing to solve computationally demanding (inverse) problems. We are currently working on diagnostic methods for model evaluation, likelihood free estimation, Bayesian model selection and emulation of CPU-intensive models.
Our papers appear in statistics and optimization journals, and applied journals covering surface hydrology, soil physics, fluid mechanics, hydrogeophysics, geostatistics, hydrogeology, avian biology, ecohydrology, water resources, agriculture, and geophysics. Recent work includes analysis of marine plankton biogeography and composition, cloud-aerosol interactions, global and local soil moisture estimation using remote sensing and geophysical data, and scaling and estimation of soil hydraulic properties from the pore size distribution. Publications on these topics are forthcoming.
NEW: Slides of NASA Seminar (Dec. 11, 2012) (Link)
Recent Publications
E. Laloy, B. Rogiers, J.A. Vrugt, D. Mallants, and D. Jacques (2013), Efficient posterior exploration of a high-dimensional groundwater model from two-stage MCMC simulation and polynomial chaos expansion, Water Resources Research, XX, XX-XX, doi:10.1029/2012WR013299.
P. Nasta, J.A. Vrugt, and N. Romano (2013), Prediction of the saturated hydraulic conductivity from Brooks and Corey’s water retention parameters, Water Resources Research, XX, XX-XX, doi:10.1029/2012WR013310.
P. Nasta, N. Romano, S. Assouline, J.A. Vrugt, and J.W. Hopmans (2013), Prediction of spatially-variable unsaturated hydraulic conductivity using scaled particle-size distribution functions, Water Resources Research, XX, XX-XX, doi:10.1029/2012WR012951.
P. Flombaum, J.L. Gallegos, R.A. Gordillo, J. Rincón, L.L. Zabala, N. Jiao, D.M. Karl, W.K.W. Li, M.W. Lomas, D. Veneziano, C.S. Vera, J.A. Vrugt, and A.C. Martiny (2013), Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus, Proceedings of the National Academy of Sciences of the United States of America, XX, XX-XX.
A.C. Martiny, C.T.A. Pham, F.W. Primeau, J.A. Vrugt, J.K. Moore, S.A. Levin, and M.W. Lomas (2013), Strong and reproducible latitudinal patterns in marine plankton elemental ratios, Nature Geoscience, 1-5, doi:NGS-2012-07-01120B, March 17, 2013.
N. Linde, and J.A. Vrugt (2013), Distributed soil moisture from crosshole ground-penetrating radar travel times using stochastic inversion, Vadose Zone Journal, 12, doi:10.2136/vzj2012.0101.
J.A. Vrugt, C.J.F. ter Braak, C.G.H. Diks, and G. Schoups (2013), Advancing hydrologic data assimilation using particle Markov chain Monte Carlo simulation: theory, concepts and applications, Advances in Water Resources, Anniversary Issue – 35 Years, 51, 457–478, doi:10.1016/j.advwatres.2012.04.002.
J.A. Huisman, J.A. Vrugt, and T.P.A. Ferré (2012), Vadose zone model-data fusion: State of the art and future challenges, Vadose Zone Journal, 11, vzj2012.0140, doi:10.2136/vzj2012.0140.
H.V. Gupta, M.P. Clark, J.A. Vrugt, G. Abramowitz, and M. Ye (2012), Towards a comprehensive assessment of model structural adequacy, Water Resources Research, 48, W08301, doi:10.1029/2011WR011044.
E. Laloy, N. Linde, and J.A. Vrugt (2012), Mass conservative three-dimensional water tracer distribution from MCMC inversion of time-lapse GPR data, Water Resources Research, 48, W07510, doi:10.1029/2011WR011238.
J. Rings, J.A. Vrugt, G. Schoups, J.A. Huisman, and H. Vereecken (2012), Bayesian model averaging using particle filtering and Gaussian mixture modeling: theory, concepts, and simulation experiments, Water Resources Research, 48, W05520, doi:10.1029/2011WR011607.
Short CV
2011 Associate Professor (0.2 FTE), Faculty of Science (CGE), University of Amsterdam, Netherlands
2010 Assistant Professor, Civil and Environmental Engineering (CEE), University of California Irvine, USA
/Assistant Professor (Joint Appointment), Earth System Science (ESS), University of California, Irvine, USA.
2007 J. Robert Oppenheimer Distinguished Postdoctoral Fellow, LANL, USA
2005 Directors Funded Postdoctoral Fellow, LANL, USA
2004 PhD in Science, University of Amsterdam, Netherlands
1999 MS in Physical Geography, University of Amsterdam, Netherlands
Teaching
UC Irvine
2011 – present CEE-20: Problem Solving in Engineering using MATLAB: Undergraduate
2010 – present CEE-271: Unsaturated Zone Hydrology: Graduate
2007 – present CEE-290: Merging Models and Data: Graduate
International
Main Lecturer for a week long short-course on “Bayesian inverse modeling and data assimilation methods in the Earth Sciences“. Once or twice a year, at a different University worldwide. Look for more information under “Teaching / Outreach”
Editorial Boards
2008 – present Vadose Zone Journal
2008 – present Hydrology and Earth Systems Sciences
2009 – present Environmental Modeling & Software
2010 – present Water Resources Research
Other Professional Activities
2004 – present Chair and Organizer of 20+ sessions at (inter)National conferences
2004 – present About 60 invited talks and seminars at Universities, Inter(National) Meetings, and Labs.

