:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.12(9) (2021)Special Issue on the Universiti Teknologi MARA (UiTM) R&D Showcase |
Extreme Precipitation Trend Using Regional Climate Model from Multi-Source of Observational Data in Malaysia
Saiful Anuar Baharudin (School of Chemistry and Environment, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM) 40450, Shah Alam, Selangor, MALAYSIA),
Arnis Asmat (School of Chemistry and Environment, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM) 40450, Shah Alam, Selangor, MALAYSIA and Climate Change and Carbon Footprint Research Group, Universiti Teknologi MARA (UiTM) 40450 Shah Alam, Selangor, MALAYSIA).
Disciplinary: Regional Climate, Climate Change, Atmospheric Thermodynamics, Hydrology (Extreme Rainfall).
doi: 10.14456/ITJEMAST.2021.177
Keywords: Climate change, Extreme rainfall, Regional climate models (RCM), Clausius-clapeyron relation, Global Historical Climate Network (GHCN), SA-OBS.
AbstractHaving a better understanding of how extreme rainfall events change the future climate is vital due to its large impact on society. One of the factors that need to be considered is atmospheric temperature, where according to Clausius-Clapeyron relation, extreme rainfall is expected to increase at the rate of 7% per degree of warming. This paper investigates the trend of extreme rainfall by analysing observational data in Peninsular Malaysia and comparing it against regional climate models (RCM) simulations of historical climate. The study showed that RCM is driven by EC-EARTH generally performs better in simulating the trend of extreme rainfall with surface air temperature in Peninsular Malaysia compared to the model driven by IPSL-CM5A-LR. Furthermore, the study showed that extreme rainfall is decreasing with the increase of temperature at a large area across Peninsular Malaysia.
Paper ID: 12A9I
Cite this article:
Baharudin, S. A., & Asmat, A. (2021). Extreme Precipitation Trend Using Regional Climate Model from Multi-Source of Observational Data in Malaysia. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(9), 12A9I, 1-8. http://doi.org/10.14456/ITJEMAST.2021.177
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