A Unified Model for the Prediction of Spatial and Temporal Rainfall Rate Statistics

This paper presents MORSE (MOdel for Rainfall Statistics Estimation), a unified model for the prediction of spatial (P_S(R)) and temporal (P_T(R)) high-resolution rainfall rate statistics. Inputs to MORSE are the convective (M_c) and total (Mt) rain amounts cumulated in different time intervals, ranging from a few hours for the prediction of P_S(R) to much longer intervals for the estimation of P_T(R). Tests performed against P_T(R)s on yearly (curves included in the DBSG3 database) and monthly (distributions derived from rain rate time series) basis provide very satisfactory results, which makes MORSE a reliable global model for the prediction of P_S(R) on hourly basis and of P_T(R) at any time scale (e.g., monthly, seasonal, yearly).