Spatio-temporal Behaviours of Tropical Cyclones over the Bay of Bengal Basin in last Five Decades

Tropical disturbances and cyclones are regularly formed at the Bay of Bengal basin. There are some common traits in them, albeit each one of them is unique. Discerning climatology for the basic features of any tropical cyclone is useful in numerous ways. This research has attempted to find a climatology for frequency, life period, energy, and speed for the tropical cyclones formed at the Bay of Bengal over a period of 31 years – from 1990 to 2020. The results elicit that there are marked changes in these aforementioned features. The total frequency, accumulated duration, and combined energy have escalated over the years. To be precise, these changes have taken effect more rigorously for the Post-monsoonal tropical cyclones. The overall translational speed has slightly diminished in recent years, except for the translational speed of cyclones formed during Pre-monsoon. These changes will have major ramifications on the lives and livelihoods of people, more so for those living in coastal areas. Hence, necessary actions are required to cut the probable losses and damages. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 10(1), 2021, P 23-31

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Segmentation of Tropical Cyclone Eye using Satellite Infrared Images

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1036.0782s519 ◽

2019 ◽

Vol 8 (2S5) ◽

pp. 181-185

Keyword(s):

Tropical Cyclone ◽

Tropical Cyclones ◽

Bay Of Bengal ◽

Bengal Basin ◽

Infrared Images ◽

Circular Area ◽

Remarkable Feature ◽

Rule Based ◽

Cyclone Tracking ◽

Rule Based Classifier

The tropical cyclones are destructive weather systems and are known for their devastating effects during landfall. Cyclone tracking is one of the important tasks for the meteorologist. The eye of the tropical cyclone is the most remarkable feature. The eye of the cyclone is the roughly circular area extending over 30 - 65 km in diameter. The deepest convection is found around the eyewall for some tens of kilometers. The eye grows deeper when the cyclone becomes heavy and the winds speed grows high. In this study, the data from the 1995 - 2016 of the CIRA imagery for the tropical cyclone of the Bay of Bengal basin is analyzed and the model is developed to determine the eye of the cyclone. The segmented eye features are fed into the Rule Based Classifier which classifies the tropical cyclone images based on the presence and absence of the eye.

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Spatio-temporal pattern of tropical cyclones: The case of cyclones of the bay of Bengal

Journal of the Geographical Institute Jovan Cvijic SASA ◽

10.2298/ijgi2103213h ◽

2021 ◽

Vol 71 (3) ◽

pp. 213-229

Author(s):

Bibi Hafsa ◽

Raju Ahmed ◽

Rocky Kumar

Keyword(s):

Tropical Cyclones ◽

Bay Of Bengal ◽

Hot Spot ◽

Climatic Variability ◽

Research Work ◽

System Transformation ◽

Statistical Tool ◽

Directional Distribution ◽

Spatio Temporal ◽

The Relationship

For the last few decades, the generalized pattern of tropical cyclones has gone through an unstable system transformation in the global changing climatic scenario. Thus, the broad aim of this research work was to explore the spatio-temporal changing pattern of tropical cyclones in the basin of the Bay of Bengal between 1985 and 2019. Cyclone track information data have been collected from Emergency Events Database (EM-DAT) server and Bangladesh Meteorological Department. The loss and damage statistics has been collected from different published sources. Geographical distributional characteristics such as mean center and standard directional distribution have been explored using the spatial statistical tool of ArcMap. The mean geographic center has been identified near the district of Bhola and Patuakhali. The cyclonic occurrences in the research area are oriented north-west to south-east according to standard directional distribution. Hot spot analysis was used to identify the most affected parts in the study area and found that there are no significant hotspots, but the distribution pattern is rather random. However, there are two minor concentration zones in the study area, one near Barguna and another one near Sandwip coast. SPSS software was also used here to analyze the relationship between cyclonic events and the loss/damage scenarios of the study area. The relationship between cyclonic velocity and damage of life and livelihood showed a strong correlation of .804 with a significance level of 99% (p < .01). Random cyclonic trends and patterns indicate a change in this region's climatic variability over the past 35 years.

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