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Results: 83
Number of items: 83
  • Linde, N., & Vrugt, J. A. (2013). Distributed soil moisture from crosshole ground-penetrating radar travel times using stochastic inversion. Vadose Zone Journal, 12(1), 0101. https://doi.org/10.2136/vzj2012.0101
  • Open Access
    Laloy, E., Rogiers, B., Vrugt, J. A., Mallants, D., & Jacques, D. (2013). Efficient posterior exploration of a high-dimensional groundwater model from two-stage MCMC simulation and polynomial chaos expansion. Water Resources Research, 49(5), 2664-2682. https://doi.org/10.1002/wrcr.20226
  • Open Access
    Nasta, P., Vrugt, J. A., & Romano, N. (2013). Prediction of the saturated hydraulic conductivity from Brooks and Corey’s water retention parameters. Water Resources Research, 49(5), 2918-2925. https://doi.org/10.1002/wrcr.20269
  • Open Access
    Sadegh, M., & Vrugt, J. A. (2013). Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation. Hydrology and Earth System Sciences, 17(12), 4831-4850. https://doi.org/10.5194/hess-17-4831-2013
  • Open Access
    Nasta, P., Romano, N., Assouline, S., Vrugt, J. A., & Hopmans, J. W. (2013). Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions. Water Resources Research, 49(7), 4219-4229. https://doi.org/10.1002/wrcr.20255
  • Open Access
    Vrugt, J. A., & Sadegh, M. (2013). Towards diagnostic model calibration and evaluation: Approximate Bayesian computation. Water Resources Research, 49(7), 4335-4345. https://doi.org/10.1002/wrcr.20354
  • Bikowski, J., Huisman, J. A., Vrugt, J. A., Vereecken, H., & van der Kruk, J. (2012). Inversion and sensitivity analysis of ground penetrating radar data with waveguide dispersion using deterministic and Markov chain Monte Carlo methods. Near Surface Geophysics, 10(6), 641-652. https://doi.org/10.3997/1873-0604.2012041
  • Kandelous, M. M., Kamai, T., Vrugt, J. A., Šimůnek, J., Hanson, B., & Hopmans, J. W. (2012). Evaluation of subsurface drip irrigation design and management parameters for alfalfa. Agricultural Water Management, 109, 81-93. https://doi.org/10.1016/j.agwat.2012.02.009
  • Huisman, J. A., Vrugt, J. A., & Ferre, T. P. A. (2012). Vadose zone model-data fusion: State of the art and future challenges. Vadose Zone Journal, 11(4). https://doi.org/10.2136/vzj2012.0140
  • Open Access
    Partridge, D. G., Vrugt, J. A., Tunved, P., Ekman, A. M. L., Struthers, H., & Sooroshian, A. (2012). Inverse modeling of cloud-aerosol interactions -- Part 2: Sensitivity tests on liquid phase clouds using a Markov Chain Monte Carlo based simulation approach. Atmospheric Chemistry and Physics, 12(6), 2823-2847. https://doi.org/10.5194/acp-12-2823-2012
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