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Accurate estimation of cumulative distribution of rain rate with 1-minute integration time is required to predict the attenuation of electromagnetic wave in rain medium. The model which is provided by the International Telecommunication Union-Radiocommunication Sector (ITU-R) is the most commonly used model to estimate 1-min integrated rain rate statistics. This model needs mean yearly rainfall accumulation (Mt) and the probability of rain (P0 ) as input which are originally derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-40 Re-Analysis (ERA-40) data. In the current work, the use of Global Satellite Mapping of Precipitation (GSMaP) data as input of ITU-R P.837-6 model was examined. The GSMaP data have better spatial and temporal resolutions than ERA-40. It was found that Mt and P0 values from GSMaP data are closer to Mt and P0 obtained from rain gauge than that of ITU-R model. One-min rain rate estimated by modified ITU-R model was compared with the rain gauge data at Kototabang, and DBSG3 data for Bandung and with the value reported by previous studies. The use of Mt and P0 derived from GSMaP data for the ITU-R model input provides similar distribution of 1-min rain rate with the rain gauge data at Kototabang especially for percentage times of less than 0.01%, while for percentage times more than 0.01%, ITU-R with default input provides closer distribution to rain gauge data.     Keywords: rain rate cumulative distribution, GSMaP, ITU-R P.837-6, Indonesia

Estimation of Rainfall Rate Cumulative Distribution in Indonesia Using Global Satellite Mapping of Precipitation Data