Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand

In seasonal northeast monsoon, heavy rainfalls caused many natural disasters in the southern east-coast of Thailand. A thorough study of simulations of heavy precipitation phenomena could provide a better understanding of their nature, inducing the better forecasting of similar cases. The cumulus pa...

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Main Authors: Kirtsaeng S., Kreasuwun J., Chantara S., Sukthawee P., Masthawee F.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84865170737&partnerID=40&md5=b4f27ff7c1baea2839fb57668425fb0b
http://cmuir.cmu.ac.th/handle/6653943832/6768
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-67682014-08-30T03:51:13Z Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand Kirtsaeng S. Kreasuwun J. Chantara S. Sukthawee P. Masthawee F. In seasonal northeast monsoon, heavy rainfalls caused many natural disasters in the southern east-coast of Thailand. A thorough study of simulations of heavy precipitation phenomena could provide a better understanding of their nature, inducing the better forecasting of similar cases. The cumulus parameterization technique was used to determine the appropriate cumulus physics for a model. Three cumulus parameterization schemes, such as, the Kain-Frisch (KF), the Grill-Devenyi (GD), and the Betts-Miller-Janjic (BMJ) schemes were applied for the Weather Research and Forecasting (WRF-ARW version) modeling system. Their performances were evaluated by validation of the simulated rainfall by mean of calculating the categorical skill scores, such as, frequency bias (BIAS), critical success index (CSI), and equitable threat scores (ETS). The rainfall data observed from the Tropical Rainfall Measuring Mission (TRMM), and the Thai Metrological Department (TMD) were used to verify the rainfall simulation results. During the heavy rainfall events in this study, the maximum rainfalls simulated by KF, GD and BMJ schemes were recorded 146, 120, and 38 mm, respectively, while TRMM showed 187 mm of the maximum rainfall. The specific location of the intense rainfalls and their magnitude were excellently simulated in KF scheme. The positions of the maximum rainfall simulated by KF and GD schemes were also more accurate than the positions simulated by BMJ scheme. The categorical skill scores evaluation revealed that the KF scheme outperforms the GD and BMJ schemes if heavy precipitation is used as the threshold. 2014-08-30T03:51:13Z 2014-08-30T03:51:13Z 2012 Article 1252526 http://www.scopus.com/inward/record.url?eid=2-s2.0-84865170737&partnerID=40&md5=b4f27ff7c1baea2839fb57668425fb0b http://cmuir.cmu.ac.th/handle/6653943832/6768 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description In seasonal northeast monsoon, heavy rainfalls caused many natural disasters in the southern east-coast of Thailand. A thorough study of simulations of heavy precipitation phenomena could provide a better understanding of their nature, inducing the better forecasting of similar cases. The cumulus parameterization technique was used to determine the appropriate cumulus physics for a model. Three cumulus parameterization schemes, such as, the Kain-Frisch (KF), the Grill-Devenyi (GD), and the Betts-Miller-Janjic (BMJ) schemes were applied for the Weather Research and Forecasting (WRF-ARW version) modeling system. Their performances were evaluated by validation of the simulated rainfall by mean of calculating the categorical skill scores, such as, frequency bias (BIAS), critical success index (CSI), and equitable threat scores (ETS). The rainfall data observed from the Tropical Rainfall Measuring Mission (TRMM), and the Thai Metrological Department (TMD) were used to verify the rainfall simulation results. During the heavy rainfall events in this study, the maximum rainfalls simulated by KF, GD and BMJ schemes were recorded 146, 120, and 38 mm, respectively, while TRMM showed 187 mm of the maximum rainfall. The specific location of the intense rainfalls and their magnitude were excellently simulated in KF scheme. The positions of the maximum rainfall simulated by KF and GD schemes were also more accurate than the positions simulated by BMJ scheme. The categorical skill scores evaluation revealed that the KF scheme outperforms the GD and BMJ schemes if heavy precipitation is used as the threshold.
format Article
author Kirtsaeng S.
Kreasuwun J.
Chantara S.
Sukthawee P.
Masthawee F.
spellingShingle Kirtsaeng S.
Kreasuwun J.
Chantara S.
Sukthawee P.
Masthawee F.
Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
author_facet Kirtsaeng S.
Kreasuwun J.
Chantara S.
Sukthawee P.
Masthawee F.
author_sort Kirtsaeng S.
title Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
title_short Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
title_full Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
title_fullStr Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
title_full_unstemmed Weather research and forecasting (WRF) model performance for a simulation of the 5 November 2009 heavy rainfall over southeast of Thailand
title_sort weather research and forecasting (wrf) model performance for a simulation of the 5 november 2009 heavy rainfall over southeast of thailand
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84865170737&partnerID=40&md5=b4f27ff7c1baea2839fb57668425fb0b
http://cmuir.cmu.ac.th/handle/6653943832/6768
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