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Synthetic aperture radar observations and numerical simulations of wakes associated with the island Yakushima, Japan during Super Typhoon Shanshan (2024)

J. Y. He, P. W. Chan*, C. W. Choy, K. K. Lai, C. K. Ho

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

This paper for the first time documents the wakes associated with Yakushima island of Japan in a super typhoon based on synthetic aperture radar (SAR) ocean surface winds, and explores the feasibility of simulating the major features of the wakes using higher spatial resolution numerical weather prediction model for comparison with the actual SAR observation. Three images during Super Typhoon Shanshan (2024) are considered. The model simulations are found to reproduce reasonably well the main features of the wakes. They capture much finer details, such as wakes associated with individual mountains of the island, and the waves in the wakes, which are not apparent in the SAR images. On the other hand, SAR images indicate recirculation in the edges of the island, though not very apparent, while the suspected recirculation does not show up in the numerical simulation. The quantitative comparison reveals some discrepancies, particularly in the wake region, where the model predicts low wind speeds that are not seen in the SAR data. These findings emphasize the necessity for enhanced observational and modeling techniques to improve the accuracy of wind field evaluation over complex terrain during tropical cyclones. © 2026 The authors
Original languageEnglish
Pages (from-to)277-292
JournalMeteorologische Zeitschrift
Volume34
Issue number4
Online published7 Jan 2026
DOIs
Publication statusPublished - 5 Feb 2026

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).

Research Keywords

  • typhoon
  • SAR
  • wake
  • island

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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