Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models

By K. V. Werkhoven, Thorsten Wagener, Patrick M. Reed, Yong Tang. 2009

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Citations in the corpus

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, neutral): “This finding is similar to the one by van Werkhoven et al. (2009).”
Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior (2013, background): “…of performance in addition to the typical statistical measures [e.g., Martinec and Rango, 1989; Michaud and Sorooshian, 1994; Yapo et al., 1998; Gupta et al., 1998; van Werkhoven et al., 2009], but in general it is very difficult to infer processlevel behavior from statistical metrics alone.”
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications (2015, unknown): “For example, van Werkhoven et al. (2009) investigated the use of global SA as a screening tool to reduce the parametric dimensionality of multi-objective hydrological model calibration problems, while maximizing the information extracted from hydrological response data.”
Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season (2010, background): “If an STi is negligible, then it is reasonable to fix that factor to a reasonable value within its range of uncertainty, and the dimensionality of the space of input factors or model parameters can be reduced accordingly [ van Werkhoven et al., 2009 ].”
Sensitivity analysis of environmental models: A systematic review with practical workflow (2014, background): “…to: (i) identify parameters that have no in ﬂ uence on the model ﬁ t to observations and therefore can be ignored during re ﬁ ned calibration (e.g. van Werkhoven et al., 2009); (ii) investigate the parameters ’ in ﬂ uence and interactions in the regions of the parameter space associated with…”