International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 9  (September 2017), Pages:  26-34

Title: Simulation of high-resolution WRF model for an extreme rainfall event over the southern part of Thailand

Author(s):  Pramet Kaewmesri 1, Usa Humphries 1, *, Sirapong Sooktawee 2


1Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang mod, Thung khru, Bangkok 10140, Thailand
2Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Bangkok 10400, Thailand

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The aim of research was to examine sensitivity to different microphysics parameterization schemes (Kessler, Lin, WSM3, WSM5 and WSM6) available in the Weather Research and Forecasting (WRF) model in the high-resolution heavy rainfall prediction. The Ensemble means technique was used to improve the results from the model in this case. The period was focused in November 2011. The different microphysics showed good agreements with observation from Tropical Rainfall Measure Mission (TRMM) and Thai Meteorological Department (TMD) station data. However, the Lin scheme performed that the good values of the Mean Absolute Error (MAE) and the Correlation Coefficient (CORR) were 1.16(0.39) and 0.88(0.61) to compare with TMD(TRMM) data. The Ensemble mean was an improved performance of heavy rainfall results that the good values of the (MAE) and the (CORR) were 1.03(0.16) and 0.92(0.67) to compare with TMD (TRMM) data. In summary, the WRF model demonstrated a good and reasonable rainfall simulation capability when to simulate were compared with the observations data over study areas. Detailed comparison indicates that Lin scheme and the Ensemble mean are highly recommended to simulate heavy rainfall. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Microphysics parameterization schemes, Thai meteorological department, Tropical rainfall measure mission, Weather research and forecasting

Article History: Received 26 April 2017, Received in revised form 21 July 2017, Accepted 25 July 2017

Digital Object Identifier:


Kaewmesri P, Humphries U, and Sooktawee S (2017). Simulation of high-resolution WRF model for an extreme rainfall event over the southern part of Thailand. International Journal of Advanced and Applied Sciences, 4(9): 26-34


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