Browsing by Author "Towhiduzzaman, M."

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    A study on the future cyclone characteristics and its associated storm surge along the Bangladesh coast
    (2023-12-13) Al Mohit, M.A.; Yamashiro, M.; Towhiduzzaman, M.; Joardar, A.K.
    This study has investigated the surge height along the Bangladesh coast due to the changes in future cyclone characteristics. Cyclone characteristics mainly translation speed, landfall angle, maximum sustained wind radius, genesis behavior etc., were investigated with the present and future cyclone data calibration. We have used the d4PDF, AGCM data, and BMD data for calibration. An equation for a vertical shallow water model was developed and used to determine the water level elevation resulting from the modified cyclone information. The cyclone modification information was made by the calibration of present and past cyclone data. It is found from the study that the west part of Bangladesh will face intense cyclones but the East part may face the dangerous cyclone in the future. We have also seen that changes in the characteristics of storms result in a major change of storm surge.
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    Tropical cyclone data calibration for the estimation of a path of a cyclone along the coast of Bangladesh
    (Elsevier B.V., 2022-12-04) Mohit, M.A.A.; Towhiduzzaman, M.; Khatun, M.R.; Nasrin, M.S.
    A small regionally based probabilistic cyclone track estimation method has been developed in this study. The study domain was split into twelve equally spaced areas with the random number of cyclone eye points. The random number of cyclone eye point data was taken from the output of the dynamic climate simulations model MRI-AGCM (Atmospheric General Circulation Model) and d4PDF (Database for Policy Decision-Making for Future Climate Change) cyclone track data, that used to improve the influence measurement analysis and adaptation planning for global warming. The probability theory, especially the Probability Density Function (pdf) under the normal distribution was then applied to the individual small area to find the most probable cyclone track. This virtual cyclone path shows the direction of the present and the future cyclone path that gives more information for the cyclone disaster prevention