IIT Madras Helps Develop Method To Forecast Merger of Cyclones; Check Details Here

New Delhi: In an article titled "Study of Interaction and Complete Merging of Binary Cyclones Using Complex Networks" published in Chaos, a group of researchers from the Indian Institute of Technology Madras (IIT Madras), IIT Hyderabad, and Potsdam Institute of Climate Impact Research (PIK), Germany, have addressed the issue of merging tropical cyclones using a novel, data-driven approach based on the interdisciplinary methodology of complex networks.

According to professor RI. Sujith of the IIT Madras department of aerospace engineering, "Analysing cyclone interactions using the novel framework pioneered in this study has the potential to improve the accuracy of the early warning signals provided by meteorological organisations to the government so that they can take preventative and early action to reduce the impact of such disasters."

According to Dr. Somnath De, the study's primary author, "We believe that this network-based technique may be utilised to examine binary cyclone interactions from observational or model-based relative vorticity data to acquire improved insights on the likelihood of cyclone merging. It paves the way for case-by-case analysis of highly unusual/rare events involving abrupt changes to cyclone tracks or re-strengthening, and it makes it easier to anticipate cyclone tracks and the outcome of such interactions".

According to Dr. Vishnu R. Unni from IIT Hyderabad, data-driven methods for the forecasting of extreme weather events have a special benefit since they make it possible to spot crucial trends in the development of such weather events that are difficult to detect using conventional techniques.

The Fujiwhara interaction between two cyclonic vortices can be studied using a complex network, which encodes the pattern of interaction of a complex system. 

According to a press release from IIT Madras, indicators developed using this methodology were found to clearly distinguish the various stages of mutual interaction between two cyclones and offer an early indication of cyclone merger, frequently better than traditionally used indicators like the separation distance between two cyclones.

Read More: 

• Students from IIT Madras Placed Third in Norway's Global Njord Challenge 2023; Check Details Here
• IIT Madras and Pravartak Technologies Collaborate to Provide a Cricket Analytics Program; Check Details

Subscribe to Collegedunia to get the latest educational news and updates –