A fully multiple-criteria implementation of the Sobol' method for parameter sensitivity analysis

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Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications (2015, unknown): “…and whether it is likely to affect model predictions (e.g., Saltelli et al., 1999; van Werkhoven et al., 2008a; Doherty and Welter, 2010; Rosolem et al., 2012; Gupta et al., 2012; Foglia et al., 2013); (b) reduce the time required for model calibration by focusing estimation efforts on…”
Implementation and Application of a Root Growth Module in HYDRUS (2018, methodology): “Its ability to account for interactions between model parameters is an important advantage of the Sobol¢ method (Rosolem et al., 2012).”
Sensitivity analysis of environmental models: A systematic review with practical workflow (2014, background): “Their sensitivity can then be analysed separately (e.g. Baroni and Tarantola, 2014) or jointly (e.g. Minunno et al., 2013), or reframed as a multi-criteria analysis using for example Pareto ranking (e.g. Rosolem et al., 2012).”
Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation (2015, methodology): “The quantitative measures have been used recently for model structure diagnosis with respect to model complexity and model structure inadequacy (Rosolem et al., 2012; Gupta et al., 2012).”