Investigation of Cluster-Based Cyclone Track Pattern Within the Bay of Bengal

Authors : Md Abdul AL MOHİT, Md TOWHİDUZZAMAN, Atish KUMAR JOARDAR, Mossa Samima NASRİN, Mst Rabiba KHATUN

Pages : 320-330

Doi:10.33714/masteb.1161479

View : 15 | Download : 8

Publication Date : 2022-09-30

Article Type : Research Paper

Abstract :Bangladesh is a highly disaster prone flat land country in south Asia. 80% of the disaster comes from cyclonic disaster around this area. To investigate the damage risk due to the cyclonic event around the Bay of Bengal associated with the cyclone track insert ignore into journalissuearticles values(CT); is an important issue. The present study has extensive analysis on generating a most favorable track along the Bay of Bengal from the MRI-AGCM cyclone track data. We have investigated present insert ignore into journalissuearticles values(1978-2003); and future insert ignore into journalissuearticles values(2075-2099); track data from the MRI-AGCM data set to ensure the synthetic track for the present and future climate conditions of Bangladesh. A k-mean clustering technique has been applied to investigate the synthetic track for the present and future climate condition. This work may insight the changes in cyclone track patterns in both the present and future climate conditions with the global warming scenario. This study has found that the Sundarbans and its adjacent areas are the risky coastline area of the landfall zone and for the global warming scenario it will be shifted to the Odisha area in India.
Keywords : Bangladesh, Climate, Global Warming, Storm, Tropical Cyclone