Data from: Evolution of integrated kinetic energy and energy conversion efficiency in tropical cyclones during eyewall replacement cycles

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Authors: Jiahao Jiang, Yue Wang
Cited by: 1

Abstract

Integrated kinetic energy (IKE) provides a more comprehensive metric of tropical cyclone (TC) destructive potential than maximum wind speed. Previous studies have shown that the eyewall replacement cycle (ERC) is a key process promoting IKE growth, particularly in TCs with distant secondary eyewall formation. Using idealized numerical simulations and the Mean Airflow as Lagrangian Dynamics Approximation, this study quantifies the respective roles of energy input and energy conversion efficiency in governing TC energetics during ERC. Results show that the increases in surface enthalpy fluxes during ERC are insufficient to explain the substantial rise in kinetic energy (KE) generation. Instead, the dominant factor is a marked improvement in the efficiency with which thermal energy is converted into KE. Before ERC, eyewall- and rainband-associated thermodynamic cycles contribute comparably to total KE production. During ERC, however, vertical mass transport becomes increasingly concentrated within the eyewall, where thermodynamic cycles are inherently more productive and efficient. This redistribution enhances the system-wide conversion efficiency and accelerates IKE growth. Concurrent structural adjustments, including strengthened eyewall ascent, a deepened inflow layer, and a steeper normalized tangential wind profile, produce a more energetically favorable post-ERC circulation. Sensitivity experiments further indicate that TCs with more active outer rainbands are more likely to attain higher efficiency and faster IKE growth, owing to the larger reservoir of rainband-driven mass transport that can be redirected into eyewall overturning during ERC. These results provide a unified energetics-based explanation for why TCs with long-lived concentric eyewalls tend to experience rapid increases in IKE.

Publication details

Journal / source
DRYAD
Publication date
1 April 2026
Language
EN
Document type
Dataset