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Results: 83
Number of items: 83
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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
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Raat, K. J., Vrugt, J. A., Bouten, W., & Tietema, A. (2004). Towards reduced uncertainty in catchment nitrogen modelling: quantifying the effect of field observation uncertainty on model calibration. Hydrology and Earth System Sciences, 8, 751-763. https://doi.org/10.5194/hess-8-751-2004 -
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
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Vrugt, J. A., Bouten, W., Gupta, H. V., & Hopmans, J. W. (2003). Toward improved identifiability of soil hydraulic parameters: on the selection of a suitable parametric model. Vadose Zone Journal, 2, 1-16. https://doi.org/10.2136/vzj2003.1000
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