JOURNAL ARTICLE

Climate network analysis of extreme events: Tropical cyclones.

  • Published In: Chaos, 2024, v. 34, n. 7. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sonone, Rupali; Gupte, Neelima 3 of 3

Abstract

This article focuses on the analysis of tropical cyclones in the Indian Ocean using climate networks constructed from surface air temperature data. These networks, based on percolation theory and complex network measures, reveal distinct signatures of cyclonic events—such as abrupt phase transitions in the order parameter (largest cluster size) and susceptibility—during cyclones like Kyant, Nada, Vardah (2016), Ockhi (2017), and Ashoba (2015). The study finds that jumps in susceptibility serve as consistent precursors to cyclones, with node degree distributions correlating geographically with cyclone paths. Additionally, changes in teleconnection lengths and network topology before and during cyclones suggest potential for these network-based measures to aid in cyclone prediction and severity estimation.

Additional Information

  • Source:Chaos. 2024/07, Vol. 34, Issue 7, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:1054-1500
  • DOI:10.1063/5.0203082
  • Accession Number:178780927
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