Simulation of Track and Landfall Process of Severe Cyclonic Storm Mora over the Bay of Bengal using WRF-ARW Model

Most Fatema Amin Akhi, Md Saddam Hossain, Md Shakil Hossain, Muhammad Abul Kalam Mallik
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 Dhaka Univ. J. Sci. 71(2): 142-152, 2023 (July)","PeriodicalId":22453,"journal":{"name":"The Dhaka University Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Dhaka University Journal of Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/dujs.v71i2.69123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

The simulations of Severe Cyclonic Storm (SCS) Mora (28-31 May 2017) generated over the Bay of Bengal (BoB) are performed in this study to analyze its features, landfall, and track using the Weather Research and Forecasting (WRF) model. WRF-ARW model has been used on a 10 km Horizontal Resolution (HR) domain for 96, 72, 48, and 24-hour lead time simulations. The model's performance is assessed by examining Mean Sea Level Pressure (MSLP), vertical distribution of velocity components, wind flow pattern, relative vorticity, vertical wind shear, relative humidity, latent heat flux at the surface, and track pattern. The simulated results are compared carefully to the observations from the Bangladesh Meteorological Department (BMD) and the India Meteorological Department (IMD). The findings are reasonably consistent with the observations. The simulated track is also reasonable even up to 72 hours in advance. Finally, the study's results suggest that the WRF model can be used as an effective tool in predicting TCs over the BoB. Dhaka Univ. J. Sci. 71(2): 142-152, 2023 (July)
用WRF-ARW模式模拟孟加拉湾强气旋风暴莫拉的路径和登陆过程
本文利用天气研究与预报(WRF)模式对2017年5月28日至31日在孟加拉湾(BoB)上空产生的强气旋风暴(SCS)莫拉(Mora)进行了模拟,分析了其特征、登陆和路径。WRF-ARW模式在10 km水平分辨率(HR)域进行了96、72、48和24小时提前期模拟。通过平均海平面气压(MSLP)、速度分量的垂直分布、气流型、相对涡度、垂直风切变、相对湿度、地表潜热通量和路径型来评价模型的性能。模拟结果与孟加拉国气象部门(BMD)和印度气象部门(IMD)的观测结果进行了仔细比较。研究结果与观察结果相当一致。即使提前72小时,模拟轨道也是合理的。最后,研究结果表明,WRF模型可以作为一种有效的工具来预测BoB上的tc。 达卡大学学报(自然科学版),71(2):142-152,2023 (7)
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