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Multi‐Platform Observations of Severe Typhoon Koinu.

Authors :
He, J. Y.
Chan, P. W.
Choy, C. W.
Cheung, P.
Chan, Y. W.
Lam, C. C.
He, Y. H.
Rong, P.
Su, H.
Li, Z. M.
Source :
Earth & Space Science; Mar2024, Vol. 11 Issue 3, p1-21, 21p
Publication Year :
2024

Abstract

Severe Typhoon Koinu passed south of Hong Kong on 8 and 9 October 2023, triggering the issuance of the Increasing Gale or Storm Signal No. 9, the second highest tropical cyclone (TC) warning signal in Hong Kong. Koinu was a difficult case for TC warning service due to its compact size and rather erratic movement over the 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 dropsonde data suggested boundary layer inflow, warm core structure, eyewall updraft, and high turbulence in the eyewall of the typhoon. The weather radar observations indicated the occurrence of a waterspout in the vicinity of the typhoon. Additionally, the study highlights the forecasting performance of the AI‐based Pangu‐Weather model, which could outperform the conventional global numerical weather prediction models in forecasting TC track 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 cyclone. Key Points: Observations from meteorological aircraft, ocean radar, and synthetic aperture radar show the structure of Severe Typhoon KoinuWeather radar observations suggest the occurrence of a waterspout in the vicinity of KoinuAI‐based Pangu‐Weather model could outperform the conventional global numerical weather prediction models in forecasting Koinu's track [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23335084
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Earth & Space Science
Publication Type :
Academic Journal
Accession number :
176275329
Full Text :
https://doi.org/10.1029/2023EA003366