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Assessments of the WRF model in simulating 2021 extreme rainfall episode in Malaysia.

Chen, Yixiao; Chan, Andy; Gee Ooi, Chei; Li, Li; Yenn Teo, Fang

Authors

Yixiao Chen

Chei Gee Ooi

Li Li

Fang Yenn Teo



Abstract

An episode of extreme monsoonal flood event has severely affected the East and West coast of Peninsular Malaysia from 16th to 18th December 2021. The extreme rainfall was documented to be associated to Tropical Depression 29 and Typhoon Rai. In addition, biomass burning aerosols were suspected to be capable of intensifying the precipitation. Thus, the main causes of this extreme event are studied with model evaluation being carried out with biomass burning as one of the possible reasons and variables. From the sensitivity analysis on the PBL scheme for the model physics, QNSE scheme is tested to be the best scheme to simulate the episode compared with MYJ and ACM2 and used in the model assessment. The performances of ARW (WRF-ARW), BB (WRF-Chem with biomass burning), and NOBB (WRF-Chem without biomass burning) have been assessed in the reproduction of the precipitation pattern and tropical depression. Simulation results indicate that ARW shows an overall better performance for most meteorological variables with better performance in reproducing the surface-level pressure and wind speed. Model scenarios of ARW and BB produced similar tropical depression spatial distributions but differ in magnitude, where the tropical depression in ARW is stronger during the study period over East coastline. All models overestimate the precipitation intensity, but ARW is much better correlated with observation data followed by NOBB and BB. The findings show that biomass burning aerosols have only a minor impact on intensifying or delaying the rainfall event. Therefore, tropical depression over Peninsular Malaysia is shown to be the main causation to this extreme event in 2021. The model could be applied for the future flood risk management in Malaysia to provide information on decision making.

Citation

CHEN, Y., CHAN, A., GEE OOI, C., LI, L. and YENN TEO, F. 2024. Assessments of the WRF model in simulating 2021 extreme rainfall episode in Malaysia. Air quality, atmosphere and health [online], 17(2), pages 257-281. Available from: https://doi.org/10.1007/s11869-023-01442-w

Journal Article Type Article
Acceptance Date Sep 24, 2023
Online Publication Date Oct 14, 2023
Publication Date Feb 29, 2024
Deposit Date Oct 17, 2023
Publicly Available Date Oct 15, 2024
Journal Air quality, atmosphere and health
Print ISSN 1873-9318
Electronic ISSN 1873-9326
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 17
Issue 2
Pages 257-281
DOI https://doi.org/10.1007/s11869-023-01442-w
Keywords WRF model; Extreme rainfall; Flooding; Biomass burning; Tropical depression; Peninsular Malaysia
Public URL https://rgu-repository.worktribe.com/output/2113522