loading page

How does air-sea wave interaction affect tropical cyclone intensity? An atmosphere-wave-ocean coupled model study based on super typhoon Mangkhut (2018)
  • +5
  • Zhenning Li,
  • Chi-Yung Francis Tam,
  • Yubin Li,
  • Gabriel Lau,
  • Junwen Chen,
  • S.T. Chan,
  • Dick-Shum Dickson Lau,
  • Yiyi Huang
Zhenning Li
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong
Author Profile
Chi-Yung Francis Tam
Chinese University of Hong Kong

Corresponding Author:[email protected]

Author Profile
Yubin Li
Nanjing University of Information Science and Technology
Author Profile
Gabriel Lau
Chinese University of Hong Kong
Author Profile
Junwen Chen
Shenzhen Wiselec Technology Co., Ltd.,
Author Profile
S.T. Chan
Hong Kong Observatory
Author Profile
Dick-Shum Dickson Lau
Hong Kong Observatory
Author Profile
Yiyi Huang
Department of Hydrology and Atmospheric Sciences, University of Arizona
Author Profile

Abstract

Capturing TC intensity change remains a great challenge for most state-of-the-art operational forecasting systems. Recent studies found the TC intensity forecasts are sensitive to three-dimensional ocean dynamics and air-sea interface processes beneath extreme winds. By performing a series of numerical simulations based on hierarchical Atmosphere–Wave–Ocean (AWO) coupling configurations, we showed how atmosphere-ocean and atmosphere-sea wave coupling can affect the intensity of super typhoon Mangkhut (2018). The AWO coupled model can simulate TC-related strong winds, oceanic cold wake, and wind waves with high fidelity. With atmosphere-ocean (AO) coupling implemented, the simulated maximum surface wind speed is reduced by 7 m/s compared to the atmosphere-only run, due to TC-induced oceanic cold wakes in the former experiment. In the fully coupled AWO simulations, the wind speed deficit can be completely compensated by the wave-air coupling effect. Further analyses showed that, in the AWO experiment, two mechanisms contribute to the improvement of TC intensity. First, in the high wind scenario (>28m/s), the surface drag coefficient reaches an asymptotic level, assisting extreme wind speed to be maintained within the eyewall. Second, the wind speed distribution is modulated and becomes broader; higher wind within the TC area helps to offset the negative effect due to leveling off of the heat exchange coefficient as wind speed increases. Overall, the simulated TC in the AWO run can extract 8-9% more total heat energy from the ocean to maintain its strength, compared to that from the AO experiment.
Mar 2022Published in Earth and Space Science volume 9 issue 3. 10.1029/2021EA002136