Building on earlier efforts, the authors apply a data-driven multiplicative model in which the relationship between true rainfall and radar rainfall can be described in terms of the product of a systematic and random component. For the first time, the authors present a methodology based on conditional copulas to generate ensembles of random error fields with the prescribed marginal probability distribution and spatio-temporal dependencies.

Villarini, G., B.-C. Seo, F. Serinaldi, and W.F. Krajewski, Spatial and temporal modeling of radar rainfall uncertainties, Atmospheric Research, 135-136, 91-101, 2014.