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Global Sensitivity Analysis of environmental models: Convergence and validation., , and . Environ. Model. Softw., (2016)Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management., , , and . Environ. Model. Softw., 23 (7): 846-858 (2008)Numerical and visual evaluation of hydrological and environmental models using the Monte Carlo analysis toolbox., and . Environ. Model. Softw., 22 (7): 1021-1033 (2007)A Matlab toolbox for Global Sensitivity Analysis., , and . Environ. Model. Softw., (2015)Sensitivity analysis of environmental models: A systematic review with practical workflow., , , , , , and . Environ. Model. Softw., (2016)A new approach to visualizing time-varying sensitivity indices for environmental model diagnostics across evaluation time-scales., , and . Environ. Model. Softw., (2014)A formal framework for scenario development in support of environmental decision-making., , , , , , , , , and 10 other author(s). Environ. Model. Softw., 24 (7): 798-808 (2009)Integrating scientific knowledge into machine learning using interactive decision trees., , and . Comput. Geosci., (2023)Ten guidelines for effective data visualization in scientific publications., and . Environ. Model. Softw., 26 (6): 822-827 (2011)Epistemic uncertainties and natural hazard risk assessment – Part~2: What should constitute good practice?, , , , , , , , , and 2 other author(s). Natural Hazards and Earth System Sciences, 18 (10): 2769--2783 (October 2018)