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

Authors

  • Most Fatema Amin Akhi Department of Mathematics, Dhaka University of Engineering and Technology, Gazipur-1707, Bangladesh
  • Md Saddam Hossain Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
  • Md Shakil Hossain Department of Mathematics, Khulna University of Engineering & Technology, Khulna-9203, Bangladesh
  • Muhammad Abul Kalam Mallik Bangladesh Meteorological Department, Dhaka-1207, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v71i2.69123

Keywords:

Tropical cyclone, track, landfall, Mora, Bay of Bengal

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)

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Published

2023-10-18

How to Cite

Amin Akhi, M. F. ., Hossain, M. S., Hossain, M. S., & Kalam Mallik, M. A. (2023). Simulation of Track and Landfall Process of Severe Cyclonic Storm Mora over the Bay of Bengal using WRF-ARW Model. Dhaka University Journal of Science, 71(2), 142–152. https://doi.org/10.3329/dujs.v71i2.69123

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Articles