| A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters JA Vrugt, HV Gupta, W Bouten, S Sorooshian Water resources research 39 (8), 2003 | 1495 | 2003 |
| Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus P Flombaum, JL Gallegos, RA Gordillo, J Rincón, LL Zabala, N Jiao, ... Proceedings of the National Academy of Sciences 110 (24), 9824-9829, 2013 | 1297 | 2013 |
| Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling JA Vrugt, CJF ter Braak, CGH Diks, BA Robinson, JM Hyman, D Higdon International journal of nonlinear sciences and numerical simulation 10 (3 …, 2009 | 1204 | 2009 |
| Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation JA Vrugt, CJF Ter Braak, MP Clark, JM Hyman, BA Robinson Water Resources Research 44 (12), 2008 | 971 | 2008 |
| On the value of soil moisture measurements in vadose zone hydrology: A review H Vereecken, JA Huisman, H Bogena, J Vanderborght, JA Vrugt, ... Water resources research 44 (4), 2008 | 800 | 2008 |
| Effective and efficient algorithm for multiobjective optimization of hydrologic models JA Vrugt, HV Gupta, LA Bastidas, W Bouten, S Sorooshian Water resources research 39 (8), 2003 | 791 | 2003 |
| Improved evolutionary optimization from genetically adaptive multimethod search JA Vrugt, BA Robinson Proceedings of the National Academy of Sciences 104 (3), 708-711, 2007 | 689 | 2007 |
| Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation JA Vrugt Environmental Modelling & Software 75, 273-316, 2016 | 679 | 2016 |
| Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation JA Vrugt, CGH Diks, HV Gupta, W Bouten, JM Verstraten Water resources research 41 (1), 2005 | 676 | 2005 |
| Modeling soil processes: Review, key challenges, and new perspectives H Vereecken, A Schnepf, JW Hopmans, M Javaux, D Or, T Roose, ... Vadose zone journal 15 (5), vzj2015. 09.0131, 2016 | 630 | 2016 |
| Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ... Environmental Modelling & Software 62, 271-299, 2014 | 626 | 2014 |
| Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models MP Clark, AG Slater, DE Rupp, RA Woods, JA Vrugt, HV Gupta, ... Water Resources Research 44 (12), 2008 | 616 | 2008 |
| A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors G Schoups, JA Vrugt Water Resources Research 46 (10), 2010 | 599 | 2010 |
| Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? JA Vrugt, CJF Ter Braak, HV Gupta, BA Robinson Stochastic environmental research and risk assessment 23, 1011-1026, 2009 | 558 | 2009 |
| High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM(ZS) and high‐performance computing E Laloy, JA Vrugt Water Resources Research 48 (1), 2012 | 548 | 2012 |
| Differential evolution Markov chain with snooker updater and fewer chains CJF Ter Braak, JA Vrugt Statistics and Computing 18, 435-446, 2008 | 543 | 2008 |
| Strong latitudinal patterns in the elemental ratios of marine plankton and organic matter AC Martiny, CTA Pham, FW Primeau, JA Vrugt, JK Moore, SA Levin, ... Nature Geoscience 6 (4), 279-283, 2013 | 510 | 2013 |
| Towards a comprehensive assessment of model structural adequacy HV Gupta, MP Clark, JA Vrugt, G Abramowitz, M Ye Water Resources Research 48 (8), 2012 | 436 | 2012 |
| Calibration of a two‐dimensional root water uptake model JA Vrugt, JW Hopmans, J Šimunek Soil Science Society of America Journal 65 (4), 1027-1037, 2001 | 424 | 2001 |
| Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling RS Blasone, JA Vrugt, H Madsen, D Rosbjerg, BA Robinson, ... Advances in Water Resources 31 (4), 630-648, 2008 | 413 | 2008 |
willem boutenVerified email at uva.nl
