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We propose a method for generating future hourly rainfall scenario considering climate change.The method has the following sequence: (1) rainfall statistics that are known to have hydrologic significance (mean, variance, covariance, and probability of dryness) of a given calendar month are generated based on the statistical information obtained from observed rainfall; (2) the generated rainfall statistics is corrected for the future period using the correction factor obtained by analyzing the HadGEM2-ES global circulation model output; (3) the hourly rainfall time series is generated using the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) model based on the rainfall statistics obtained in Step 2; (4) Step 1 through Step 3 are repeated for all 12 calendar months to generate the hourly rainfall scenario of a given future year.The methodology was applied for the 28 rainfall observation locations and for the future period of 2019-2093 in Korean Peninsula.