Abstract Accurate characterization of typhoon wind profiles throughout the lower troposphere remains challenging, as current understanding depends heavily on fragmented observations from shallow layers (<500 m) and isolated case studies. To address this gap, this study analyses a unique nationwide dataset obtained from 186 wind profile radars during 45 typhoons affecting China (2020–2024), enabling a systematic characterization of wind profiles up to 2 km. Statistical analysis identifies four distinct wind profile patterns (Monotonically-increasing, Near-uniform, Jet-like, and others), which are most frequent in the rear-right quadrant and least frequent in the front-left quadrant. Radially, Monotonically-increasing profile types dominate the outer-core region, while Near-uniform and Jet-like types concentrate primarily in the inner-core region. Notably, Monotonically-increasing and Jet-like profiles are more prevalent in intense typhoons than the Near-uniform type. A structured set of fitting parameters for wind profile models is established, categorized by the identified profile patterns, typhoon-relative positions, and terrain types. The findings offer crucial observational benchmarks to support wind profile modeling and engineering applications in typhoon-prone regions.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tang et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69df2c77e4eeef8a2a6b191a — DOI: https://doi.org/10.1038/s41612-026-01404-w
Shengming Tang
Yuhui Li
Hui Yu
npj Climate and Atmospheric Science
Building similarity graph...
Analyzing shared references across papers
Loading...