著者
Long Trinh-Tuan Jun Matsumoto Fredolin T. Tangang Liew Juneng Faye Cruz Gemma Narisma Jerasorn Santisirisomboon Tan Phan-Van Dodo Gunawan Edvin Aldrian Thanh Ngo-Duc
出版者
Meteorological Society of Japan
雑誌
SOLA (ISSN:13496476)
巻号頁・発行日
vol.15, pp.1-6, 2019 (Released:2019-01-19)
参考文献数
38
被引用文献数
7 7

The Quantile Mapping (QM) bias correction (BC) technique was applied for the first time to address biases in the simulated precipitation over Vietnam from the Regional Climate Model (RegCM) driven by five Coupled Model Intercomparison Project Phase 5 (CMIP5) Global Climate Model (GCM) products. The QM process was implemented for the period 1986-2005, and subsequently applied to the mid-future period 2046-2065 under both Representative Concentration Pathway (RCP) 4.5 and RCP 8.5. Comparison with the original model outputs during the independent validation period shows a large bias reduction from 45% to 3% over Vietnam and significant improvements in representing precipitation indices (PI) after applying the QM technique. Moreover, the ensemble average of the BC products generally performed better than an individual BC member in capturing the spatial distribution of the PIs. A drier condition with a longer rainfall break, and shorter consecutive rainfall events are anticipated over Northern and Central Vietnam during their respective wet seasons in the mid-future. Furthermore, this study showed that the QM method minimally modified the future changes in PIs over most of Vietnam; thus, these corrected projections could be used in climate impacts and adaptation studies.

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Article: Application of quantile mapping bias correction for mid-future precipitation projections over Vietnam: https://t.co/3ooNd6xeSr
SOLA New paper: Trinh-Tuan et al., Application of Quantile Mapping Bias Correction for Mid-Future Precipitation Projections over Vietnam, SOLA, 2019, VOL.15, 1-6, doi:10.2151/sola.2019-001, https://t.co/a4UmucRflp https://t.co/h1vgixUY8z

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