The distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We explore the use of a modified formulation of a DLM on hydrological data, with particular emphasis on how changes in the relationship between environmental covariates and flow regimes can be captured.