Abstract
Water-related hazards account for 90 percent of all-natural hazards, and their frequency is generally rising, in association with climate change. To combat climate change, real-time and gridded precipitation data is important, especially where no ground observation is operated. Hence, this study aimed to assess the performances of different gridded precipitation datasets, APHRODITE and GSMaP in geographical and climate terms, in Lao P.D.R. For the elevation factor, precipitation at the time of conversion from over to underestimation of GSMaP was found to be dependent on elevation, as the conversions occur with lower precipitation in higher elevation classes. About the climate factor, we also found that the conversion happened at smallest precipitation in the end of rainy season, then beginning of rainy season and then middle of the rainy season.
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