Evaluation of precipitation simulations over Thailand using a WRF regional climate model
The Weather Research and Forecasting (WRF) model is widely used as a regional climate model for dynamical downscaling in many regions world-wide. This study evaluates the WRF model for regional climate applications over Thailand, focusing on simulated precipitation using various convective parameter...
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th-cmuir.6653943832-513492018-09-04T06:13:56Z Evaluation of precipitation simulations over Thailand using a WRF regional climate model Chakrit Chotamonsak Eric P. Salathe Jiemjai Kreasuwan Somporn Chantara Biochemistry, Genetics and Molecular Biology Chemistry Materials Science Mathematics Physics and Astronomy The Weather Research and Forecasting (WRF) model is widely used as a regional climate model for dynamical downscaling in many regions world-wide. This study evaluates the WRF model for regional climate applications over Thailand, focusing on simulated precipitation using various convective parameterization schemes available in WRF. The NCEP/NCAR Reanalysis are used as forcing boundary data. The WRF simulations were performed at a 20-km grid spacing with an outer 60-km nest, to which the boundary forcing was applied. Experiments are presented for the year 2005 using four convective cumulus parameterization schemes, namely, BMJ (Betts-Miller-Janjic), GD (Grell-Devenyi), G3D (improved Grell-Denenyi) and KF (Kain-Fritsch) with and without nudging applied to the outermost nest. Results are evaluated both against station data and gridded observations. In general, the experiments with nudging perform better than un-nudged experiments and the BMJ cumulus scheme with nudging yields the smallest bias relative to observations. 2018-09-04T06:00:37Z 2018-09-04T06:00:37Z 2012-10-01 Journal 01252526 2-s2.0-84869077213 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869077213&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51349 |
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Biochemistry, Genetics and Molecular Biology Chemistry Materials Science Mathematics Physics and Astronomy Chakrit Chotamonsak Eric P. Salathe Jiemjai Kreasuwan Somporn Chantara Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
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The Weather Research and Forecasting (WRF) model is widely used as a regional climate model for dynamical downscaling in many regions world-wide. This study evaluates the WRF model for regional climate applications over Thailand, focusing on simulated precipitation using various convective parameterization schemes available in WRF. The NCEP/NCAR Reanalysis are used as forcing boundary data. The WRF simulations were performed at a 20-km grid spacing with an outer 60-km nest, to which the boundary forcing was applied. Experiments are presented for the year 2005 using four convective cumulus parameterization schemes, namely, BMJ (Betts-Miller-Janjic), GD (Grell-Devenyi), G3D (improved Grell-Denenyi) and KF (Kain-Fritsch) with and without nudging applied to the outermost nest. Results are evaluated both against station data and gridded observations. In general, the experiments with nudging perform better than un-nudged experiments and the BMJ cumulus scheme with nudging yields the smallest bias relative to observations. |
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Journal |
author |
Chakrit Chotamonsak Eric P. Salathe Jiemjai Kreasuwan Somporn Chantara |
author_facet |
Chakrit Chotamonsak Eric P. Salathe Jiemjai Kreasuwan Somporn Chantara |
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Chakrit Chotamonsak |
title |
Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
title_short |
Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
title_full |
Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
title_fullStr |
Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
title_full_unstemmed |
Evaluation of precipitation simulations over Thailand using a WRF regional climate model |
title_sort |
evaluation of precipitation simulations over thailand using a wrf regional climate model |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869077213&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51349 |
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