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Results: 83
Number of items: 83
  • Vrugt, J. A., Diks, C. G. H., Gupta, H. V., Bouten, W., & Verstraten, J. M. (2005). Improved treatment of uncertainty in hydrologic modelling: combining the strengths of global optimisation and data assimilation. Water Resources Research, 41(1), Article W01017. https://doi.org/10.1029/2004WR003059
  • Heimovaara, T. J., Huisman, J. A., Vrugt, J. A., & Bouten, W. (2004). Obtaining the spatial distribution of water content along a TDR probe using the SCEM-UA Bayesian inverse modeling scheme. Vadose Zone Journal, 3, 1128-1145.
  • Vrugt, J. A., Gupta, H. V., Bouten, W., & Sorooshian, S. (2004). A shuffled Complex Evolution Metropolis algorithm for confronting parameter uncertainty in hydrologic modeling. Geophysical Research Abstracts, 5359-5359.
  • Vrugt, J. A. (2004). Merging the strengths of global optimization and data-assimilation to simultaneously estimate parameters and state variables in hydrologic models. In Proceedings of the ESF/LESC Exploratory Workshop on Hydrological risk: recent advances in peak river flow modeling, prediction and real time forecasting, Assessment of the impacts of land-use and climate change
  • Jansen, B., Nierop, K. G. J., Vrugt, J. A., & Verstraten, J. M. (2004). (Un)certainty of overall binding constants of Al with dissolved organic matter determined by the Scatchard approach. Water Research, 38, 1270-1280. https://doi.org/10.1016/j.watres.2003.11.017
  • Schoups, G., Hopmans, J. W., Young, C. A., Vrugt, J. A., & Wallender, W. W. (2004). Parameter uncertainty of a regional subsurface water flow model using single and multi-objective calibration. Paper presented at AGU Fall Meeting.
  • Vrugt, J. A., Schoups, G., Hopmans, J. W., Young, C. A., Wallender, W. W., Harter, T., & Bouten, W. (2004). Inverse modeling of large-scale spatially distributed vadose zone properties using global optimization. Geophysical Research Abstracts, 6, 5310-5310.
  • Vrugt, J. A., Diks, C. G. H., Bouten, W., & Verstraten, J. M. (2004). Improved treatment of uncertainty in hydrologic modeling. In Proceedings of the British Hydrological Society International Conference (Vol. 1, pp. 389-397). Imperial College London.
  • Gupta, H. V., Vrugt, J. A., & Wagener, T. (2004). Advances in automatic methods for identification of hydrologic models. In Geophysical Research Abstracts (Vol. 6, pp. 6707-6707). EGU.
  • Dekker, S. C., Bouten, W., & Vrugt, J. A. (2004). Identification of rainfall interception model parameters from throughfall and canopy storage measurements. Geophysical Research Abstracts, 1541-1541.
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