Combining multiobjective optimization and Bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

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Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation (2015, methodology): “…and can be estimated using various methods (Foglia et al., 2013; Lu et al., 2013; Tsai and Elshall, 2013; Ye et al. (2010b); Tsai and Li, 2008; Ye et al. (2008a); Meyer et al., 2007; Ajami et al., 2007; Poeter and Anderson, 2005; Ye et al., 2004; Winter and Nychka, 2010; Wohling and Vrugt, 2008).”
Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data (2011, methodology): “the larger scale flow and transport processes in the investigated vadose zone [Wöhling et al., 2008].”
Performance and reliability of multimodel hydrological ensemble simulations based on seventeen lumped models and a thousand catchments (2010, unknown): “, 2007), groundwater hydrology (Neuman, 2003), soil hydraulic (Wöhling and Vrugt, 2008) and surface temperature, and sea level pressure (Vrugt et al.”