Early Cyclone Detection Technique Developed by IIT Kharagpur
GK Milkyway Blogs 25-Jun-2021 Comments (5) 56

Early Cyclone Detection Technique Developed by IIT Kharagpur

Indian Institute of Technology (IIT) Kharagpur researched and developed an advanced technique that can be used in the early detection of strengthening and development of tropical cyclones in the region near the North Indian Ocean.

Know More About  Technique of Cyclone Detection

This amazing technology is developed by using Eddy detection technique. IIT College in Kharagpur investigated formative stages and advanced detection time related to tropical cyclogenesis. With the support from the Department of Science and Technology, students studied and researched about this technique under the Climate Change Program. It is developed with the aim to identify the initial traces of pre-cyclonic eddy vortices in the atmospheric column. It is also helpful in seeking to track spatio-temporal evolution. By using a coarser grid resolution of near about 27 kilometres, researchers used it to identify characteristics and measures on eddy vortices.

How Is It Different from Other Techniques?

In the early age, researchers were using the remote sensing technique to detect cyclones. But it only works after the development of a low-pressure system over a warm surface of the ocean. New technique for cyclonic detection is only based on cyclonic eddies that are one of the prominent features of the vertical atmospheric column that can be  induced and developed over the warm ocean surface into cyclonic depression. This technique can be used to detect predictions of cyclones at an early stage. Thus, the larger time or gap between the cyclonic detection and impact of the cyclone could be helpful for the preparation activities.

How Was This Study Carried Out?

Researchers and students at IIT-Kharagpur conducted the cases of four researches on the post-monsoon severe cyclones. It includes Vardah in 2013, Phailin in 2013, Madi in 2013, and Gaja in 2018. Two pre-monsoon cyclones were also detected named Aila in 2009, and Mora in 2017. After thorough research, they observed that this technique was able and proved right in the prediction within a minimum four days before the cyclones.

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