Increased rainfall variability hampers hydrological models, calls for distributed models.
Rainfall spatial variability was studied to see how it affects runoff modeling. Different methods were used to measure this variability. The combination of Cv and Moran's I was found to be a reliable way to describe rainfall spatial variability. The more complex the rainfall spatial variability, the worse the hydrological model performs. Models that consider spatial information are better at handling complex rainfall events than models that don't.