Sheau Tieh NgaiLiew JunengaFredolin TangangJing Xiang ChungaEster SalimunaMou Leong TanSiti Amalia2024-05-202024-05-202020Ngai, S. T., Juneng, L., Tangang, F., Chung, J. X., Salimun, E., Tan, M. L., & Amalia, S. (2020). Future projections of Malaysia daily precipitation characteristics using bias correction technique. Atmospheric research, 240, 104926.https://repoemc.ukm.my/handle/123456789/1341The quantile mapping (QM) bias correction algorithm was applied to bias-correcting the daily rainfall over the Malaysia based on the APHRODITE gridded observed dataset. The quality of the bias correction in reducing the biases of regional climate models in frequency (FREQ), mean intensity (SDII) and 90th percentile (Q90) of the daily rainfall was assessed.enCORDEX-SEAMalaysiaBias correctionRepresentative concentration pathwayClimate changeExtreme rainfallJournal