Abstract
Precipitation is the key factor of energy and water cycle of the earth. The aim of the research is to evaluate the accuracy of GSMaP (Global Satellite Mapping of Precipitation) by using the rain-gauged precipitation measurement across Indonesian Maritime Continent at daily scale. We compare the daily rainfall precipitation of GSMaP with 152 rain-gauge observation stations during 2016. The results show that GSMaP products generally over-estimated precipitation amount with the average accuracy is 82.6%. The performance of precipitation estimation based on satellite data is poorer in mountainous area than in flatlands. According to location, Moluccas and Papua Island have the highest mean correlation (0.40 – 0.61). Meanwhile, the lowest is in small islands such as Bali and Nusa Tenggara (0.20 – 0.47). The highest monthly average correlation is in January while the lowest is in June.The results also show that the daily mean errors (ME) is 0.16 and the root mean square errors (RMSE) is 17.44. However, from the results indicate that GSMaP algorithm is a good performance to estimate rainfall in the area.
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