JOURNAL ARTICLE

A statistical–parametric model of tropical cyclones for hazard assessment

Craig Arthur

Year: 2021 Journal:   Natural hazards and earth system sciences Vol: 21 (3)Pages: 893-916   Publisher: Copernicus Publications

Abstract

Abstract. We present the formulation of an open-source, statistical–parametric model of tropical cyclones (TCs) for use in hazard and risk assessment applications. The model derives statistical relations for TC behaviour (genesis rate and location, intensity, speed and direction of translation) from best-track datasets, then uses these relations to create a synthetic catalogue based on stochastic sampling, representing many thousands of years of activity. A parametric wind field, based on radial profiles and boundary layer models, is applied to each event in the catalogue that is then used to fit extreme-value distributions for evaluation of return period wind speeds. We demonstrate the capability of the model to replicate observed behaviour of TCs, including coastal landfall rates which are of significant importance for risk assessments.

Keywords:
Parametric statistics Wind speed Meteorology Tropical cyclone Environmental science Parametric model Replicate Extreme value theory Hazard analysis Hazard Event (particle physics) Return period Computer science Statistics Mathematics Geography Engineering

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Citation History

Topics

Tropical and Extratropical Cyclones Research
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Climate variability and models
Physical Sciences →  Environmental Science →  Global and Planetary Change
Wind and Air Flow Studies
Physical Sciences →  Environmental Science →  Environmental Engineering
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