Future projections of Malaysia daily precipitation characteristics using bias correction technique

Simple item page
dc.contributor.authorSheau Tieh Ngai
dc.contributor.authorLiew Junenga
dc.contributor.authorFredolin Tangang
dc.contributor.authorJing Xiang Chunga
dc.contributor.authorEster Salimuna
dc.contributor.authorMou Leong Tan
dc.contributor.authorSiti Amalia
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T03:08:23Z
dc.date.available2024-05-20T03:08:23Z
dc.date.issued2020
dc.description.abstractThe 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.
dc.identifier.citationNgai, 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.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1341
dc.language.isoen
dc.publisherElsevier
dc.publisher.alternativeAtmospheric Research
dc.subjectCORDEX-SEA
dc.subjectMalaysia
dc.subjectBias correction
dc.subjectRepresentative concentration pathway
dc.subjectClimate change
dc.subjectExtreme rainfall
dc.titleFuture projections of Malaysia daily precipitation characteristics using bias correction technique
dc.typeJournal

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
21_Future_projections_of_Malaysia_daily_precipitation_characteristics_using_bias_correction_technique.pdf
Size:
1.83 MB
Format:
Adobe Portable Document Format
Download

Collections

Hydrology