“…For example, simple modeling approaches from stochastic hydrology [Botter et al, 2007;Müller et al, 2014;Basso et al, 2015Basso et al, , 2016 10.1002/2017GL074139 can often skillfully predict daily discharge variability in natural catchments using a constrained set of predictors derived from rainfall climatology, storage capacity of the unsaturated zone, vegetation water use, and the drainage characteristics of the catchment groundwater system. Subsequent extensions of this framework have been used to study run-of-river hydropower generation [Müller et al, 2016;Lazzaro and Botter, 2015], flood risk assessment [Basso et al, 2016], river macroinvertebrate habitat extent [Ceola et al, 2014], and riparian vegetation extent [Doulatyari et al, 2014], among other applications across the geological and ecological sciences. With such a model for daily flows, climatic and catchment-scale properties could be linked to annual measures of flow variability by computing seasonal or annual sums of the (predicted) daily flow variable.…”