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Results: 83
Number of items: 83
  • Vrugt, J. A., Gupta, H. V., Bastides, L. A., Bouten, W., & Sorooshian, S. (2003). Effective and efficient algorithm for multiobjective optimization of hydrologic models. Water Resources Research, 39(8), doc. 1214.
  • Vrugt, J. A., Gupta, H. V., Bouten, W., & Sorooshian, S. (2003). A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parametres. Water Resources Research, 39(8), no. 1201. https://doi.org/10.1029/2002WR001642
  • Vrugt, J. A., Dekker, S. C., & Bouten, W. (2003). Identification of rainfall interception model parameters from measurements of throughfall and forest canopy storage. Water Resources Research, 39(9), no. 1251.
  • Nierop, K. G. J., Jansen, B., Vrugt, J. A., & Verstraten, J. M. (2002). Copper complexation by dissolved organic matter and uncertainty assessment of their stability constants. Chemosphere, 49(10), 1191-1200. https://doi.org/10.1016/S0045-6535(02)00504-0
  • Vrugt, J. A., Bouten, W., Dekker, S. C., & Musters, P. A. D. (2002). Transpiration dynamics of an Austrian pine stand and its forest floor: identifying controlling conditions using artificial neural networks. Advances in Water Resources, 25, 293-303. https://doi.org/10.1016/S0309-1708(01)00061-6
  • Vrugt, J. A., & Bouten, W. (2002). Validity of first-order approximations to describe parameter uncertainty in soil hydrologic models. Soil Science Society of America Journal, 66(6), 1740-1752. https://doi.org/10.2136/sssaj2002.1740
  • Vrugt, J. A., Bouten, W., Gupta, H. V., & Sorooshian, S. (2002). Toward improved identifiability of hydrologic model parameters: The information content of experimental data. Water Resources Research, 38(12), 48-1-48-13.
  • Vrugt, J. A., Gupta, H. V., Bouten, W., & Sorooshian, S. (2002). A shuffled complex evolution metropolis algorithm for estimating posterior distribution of watershed model parameters. In Q. Duan, H. V. Gupta, S. Sorooshian, A. N. Rousseau, & R. Turcotte (Eds.), AGU monograph: advances in automatic calibration of watershed models (pp. 105-112). American Geophysical Union.
  • Gupta, H. V., Bastidas, L., Vrugt, J. A., & Sorooshian, S. (2002). Multiple criteria global optimization for watershed model cakibration. In Q. Duan, H. V. Gupta, S. Sorooshian, A. N. Rousseau, & R. Turcotte (Eds.), AGU monograph: advances in automatic calibration of watershed models. DOI 10.1029/006WS09 American Geophysical Union.
  • Vrugt, J. A., Bouten, W., & Weerts, A. H. (2001). Information content of data for identifying soil hydraulic parameters from outflow experiments. Soil Science Society of America Journal, 65, 19-27. https://doi.org/10.2136/sssaj2001.65119x
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