Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Impact of Madden - Julian Oscillation on North Indian Ocean Cyclone Intensity

Version 1 : Received: 16 October 2021 / Approved: 27 October 2021 / Online: 27 October 2021 (13:49:00 CEST)

A peer-reviewed article of this Preprint also exists.

Ali, M.M.; Tanusha, U.N.; Chand, P.; Himasri, B.; Bourassa, M.A.; Zheng, Y. Impact of the Madden–Julian Oscillation on North Indian Ocean Cyclone Intensity. Atmosphere 2021, 12, 1554. Ali, M.M.; Tanusha, U.N.; Chand, P.; Himasri, B.; Bourassa, M.A.; Zheng, Y. Impact of the Madden–Julian Oscillation on North Indian Ocean Cyclone Intensity. Atmosphere 2021, 12, 1554.

Journal reference: Atmosphere 2021, 12, 1554
DOI: 10.3390/atmos12121554

Abstract

The influence of the Madden - Julian Oscillation (MJO) on the intensity of the Tropical Cyclones in the North Indian Ocean is investigated through a machine learning algorithm using cyclone data from the Joint Typhoon Warning Centre and MJO from the Bureau of Meteorology, Australia during 1974–2019. The scatter index varies from 0.45 for depressions to 0.03 for the super cyclonic storms indicating that the MJO index is another parameter that should be investigated in cyclone studies.

Keywords

Madden Julian Oscillation; depressions; cyclones; machine learning

Subject

EARTH SCIENCES, Atmospheric Science

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