Nature Communications (Oct 2022)

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

  • Simona Meiler,
  • Thomas Vogt,
  • Nadia Bloemendaal,
  • Alessio Ciullo,
  • Chia-Ying Lee,
  • Suzana J. Camargo,
  • Kerry Emanuel,
  • David N. Bresch

DOI
https://doi.org/10.1038/s41467-022-33918-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

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Various synthetic tropical cyclone datasets exist for risk assessment purposes. Here, the authors conduct a global dataset comparison to assess their suitability and applicability in answering different impact-related questions.