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Multi-platform Observations of Severe Typhoon Koinu
  • +7
  • Junyi HE,
  • Pak Wai Chan,
  • Chun-Wing Choy,
  • Ping Cheung,
  • Y.W. Chan,
  • C.C. Lam,
  • Y.H. He,
  • Pingping Rong,
  • Hui Su,
  • Zhaoming Li
Junyi HE
City University of Hong Kong
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Pak Wai Chan
Hong Kong Observatory

Corresponding Author:[email protected]

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Chun-Wing Choy
Hong Kong Observatory
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Ping Cheung
Hong Kong Observatory
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Y.W. Chan
Hong Kong Observatory
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C.C. Lam
Hong Kong Observatory
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Y.H. He
Hong Kong Observatory
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Pingping Rong
Hong Kong University of Science and Technology
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Hui Su
Hong Kong University of Science and Technology
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Zhaoming Li
Foshan Tornado Research Center
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Abstract

Severe Typhoon Koinu passed south of Hong Kong on 8 and 9 October 2023, triggering the issurance of the Increasing Gale or Storm Signal No. 9, the second highest tropical cyclone warning signal in Hong Kong. Koinu was a difficult case for TC warning service due to its compact size and rather erratic movement over coastal waters of Guangdong. To monitor Koinu's movement and wind structure, the Hong Kong Observatory utilized various observational platforms, including meteorological aircraft, ocean radar, and synthetic aperture radar on polar orbiting satellites. The paper presents major observations derived from these measurements. The aircraft probe and drosonde data suggested boundary layer inflow, warm core structure, eyewall updraft and downdraft, and high turbulence in the eyewall of the typhoon. The weather radar observations indicated occurrence of a waterspout in the vicinity of the typhoon. Additionally, the study evaluates the forecasting performance of the AI-based Pangu-Weather model, and the results highlight its better performance than the global numerical weather prediction models in forecasting tropical cyclones in the region. The documentation of these observations aims to provide valuable references for weather forecasters and stimulate further research on forecasting this type of tropical cyclones.
27 Oct 2023Submitted to ESS Open Archive
08 Nov 2023Published in ESS Open Archive