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 (M t ) 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

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... 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).