Application of Quantile Mapping bias correction for mid-future precipitation projections over Vietnam

Long Trinh-Tuan, Jun Matsumoto, Fredolin Tangang @ Tajudin Mahmud, Ju Neng Liew, Faye Cruz, Gemma Narisma, Jerasorn Santisirisomboon, Tan Phan-Van, Dodo Gunawan, Edvin Aldrian, Thanh Ngo-Duc

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalScientific Online Letters on the Atmosphere
Volume15
DOIs
Publication statusPublished - 1 Jan 2019

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climate modeling
rainfall
mapping method
climate effect
wet season
regional climate
global climate
spatial distribution
product
index
comparison
CMIP

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Application of Quantile Mapping bias correction for mid-future precipitation projections over Vietnam. / Trinh-Tuan, Long; Matsumoto, Jun; Tangang @ Tajudin Mahmud, Fredolin; Liew, Ju Neng; Cruz, Faye; Narisma, Gemma; Santisirisomboon, Jerasorn; Phan-Van, Tan; Gunawan, Dodo; Aldrian, Edvin; Ngo-Duc, Thanh.

In: Scientific Online Letters on the Atmosphere, Vol. 15, 01.01.2019, p. 1-6.

Research output: Contribution to journalArticle

Trinh-Tuan, L, Matsumoto, J, Tangang @ Tajudin Mahmud, F, Liew, JN, Cruz, F, Narisma, G, Santisirisomboon, J, Phan-Van, T, Gunawan, D, Aldrian, E & Ngo-Duc, T 2019, 'Application of Quantile Mapping bias correction for mid-future precipitation projections over Vietnam', Scientific Online Letters on the Atmosphere, vol. 15, pp. 1-6. https://doi.org/10.2151/SOLA.2019-001
Trinh-Tuan, Long ; Matsumoto, Jun ; Tangang @ Tajudin Mahmud, Fredolin ; Liew, Ju Neng ; Cruz, Faye ; Narisma, Gemma ; Santisirisomboon, Jerasorn ; Phan-Van, Tan ; Gunawan, Dodo ; Aldrian, Edvin ; Ngo-Duc, Thanh. / Application of Quantile Mapping bias correction for mid-future precipitation projections over Vietnam. In: Scientific Online Letters on the Atmosphere. 2019 ; Vol. 15. pp. 1-6.
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