Bias Correction of MIROC5 Projection Results WRF Output with CDFDM method
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Abstract
Climate Projection in Indonesia for 2006 – 2040 using MIROC5 has been done by Dynamical Downscaling technic using WRF model. Then, By using Cumulative Disrtribution Function Downscaling Method (CDFDM), bias of the WRF model has been corrected. Daily rainfall for period 2006 – 2015 in 148 BMKG station has used as the training data. Accuracy of CDFDM be measured by Mean daily precipitation (MEA), Intensity of precipitation (INT), Fraction of Wet days (FRE) dan Percentile-90 (Q90). The result show that CDFDM be able to increase the accuracy around 15% for both JJA and DJF season
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