Investigation of the genesis and intensification of simultaneous cyclones in the Arabian sea and Bay of Bengal in November 2020

  • Abhishek Kumar
  • , Arun Chakraborty
  • , Mansour Almazroui
  • , Muhammad Mubashar Dogar
  • , Irfan Ur Rashid
  • , Muhammad Adnan Abid
  • , Moetasim Ashfaq

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The North Indian Ocean (NIO), which includes the Bay of Bengal (BoB) and the Arabian Sea (AS), is frequently impacted by tropical cyclones (TCs). Notably, in November 2020, the simultaneous occurrence of Cyclones Gati in the AS and Nivar in the BoB presented a rare and compelling phenomenon worthy of investigation. This study delves into the underlying mechanisms driving the genesis and intensification of these two Very Severe Cyclonic Storms (VSCS). Key contributing factors include elevated sea surface temperatures (SST) and Tropical Cyclone Heat Potential (TCHP), both crucial for the development and intensification of TCs. Notably, the BoB exhibits higher TCHP values compared to the AS, which facilitated greater intensity for Nivar over Gati. Despite their concurrent formation, the genesis processes of Gati and Nivar were distinct. The early November development of Gati in the AS was modulated by the Rossby wave and the Madden–Julian Oscillation (MJO). Subsequently, the eastward propagation of the MJO triggered the formation of Cyclone Nivar in the BoB, enhancing convective activity from the AS and coinciding with the arrival of a downward-propagating Rossby wave. This study provides a comprehensive analysis of the simultaneous formation of Gati and Nivar, contributing novel insights into the complex interactions between oceanic and atmospheric phenomena. Such insights are vital for enhancing the predictive capabilities for destructive weather events in the NIO.

Original languageEnglish
Article number443
JournalTheoretical and Applied Climatology
Volume156
Issue number8
DOIs
StatePublished - Aug 2025

Funding

We thank the Indian Institute of Technology Kharagpur for facilitating the study. We acknowledge his gratitude to Chairman CORAL and Director IIT Kharagpur for their continued support and help. The first author thanks MHRD India for the research fellowship. The Graphics were generated using Python 3.9.

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