Huiyu Ding

Ms. Huiyu Ding


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 December 2025 in Atmosphere
Verified
Journal Article
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HDHuiyu Ding
Huiyu Ding
DZDandan Zhao
Dandan Zhao
LDLian Duan
Lian Duan
JWJunjie Wu
Junjie Wu
WSWenjun Sang
Wenjun Sang
YLYaohui Li
Yaohui Li
The complex terrain of the Qinghai–Tibetan Plateau (QTP) makes low-level wind shear (LLWS) detection challenging. Using May–September 2023 high-resolution Doppler Wind Lidar (DWL) observations, this study analyzed the spatiotemporal characteristics of LLWS and proposed an optimized detection algorithm. A key novelty of this work lies in the development of a hybrid physical–statistical detection scheme that combines horizontal divergence with logistic regression to dynamically modulate the shear field. This approach effectively reduces noise-induced false alarms in complex plateau terrain. The results show that LLWS occurred mainly near the surface at night in June, while in September it appeared more frequently during daytime throughout the boundary layer. Horizontally, the dominant directions of LLWS shifted seasonally from northwest and west in June to south and east in September. The proposed optimization method effectively suppressed false alarms, reducing moderate and strong LLWS frequencies by 30–40%. In June, optimization significantly reduced spurious detections of LLWS in the northeast and southwest. The frequency of LLWS in the northeast direction was reduced by up to 0.03. In September, scattered shear was removed and strong shear became more organized in the southeast, while southwest shear frequency decreased by up to 0.04, confirming LLWS patterns and method effectiveness.

30 October 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HDHuiyu Ding
Huiyu Ding
DZDandan Zhao
Dandan Zhao
LDLian Duan
Lian Duan
XPXiaole Pan
Xiaole Pan
TWTianyi Wang
Tianyi Wang
Low-level wind shear (LLWS) poses a critical threat to aviation safety, especially at high-altitude airports located in valley environments. However, the formation mechanisms of LLWS with low-level jets (LLJs) remain poorly understood under high-altitude valley conditions. In this study, high-resolution Doppler lidar observations collected during March–April 2024 were used to investigate the characteristics of low-level wind fields, LLJs, and LLWS, as well as their relationship in an airport environment. The results reveal pronounced diurnal variations in the low-level circulation, with easterly winds dominating from early morning to late morning, westerly winds prevailing in the afternoon, and southerly winds occurring at night. LLJ events exhibit a strong diurnal cycle, with the highest frequency occurring during 02:00–10:00 LT, and jet cores are mainly distributed between 200 and 300 m. The observed LLJs are predominantly easterly, with typical maximum wind speeds of 8–10 m s−1. The development of LLJs is related to enhanced LLWS, although the temporal correspondence between LLJ intensity and LLWS evolution varies among individual events. The vertical shear structure is closely related to LLJ characteristics, including jet core height and wind speed distribution. Case analyses further demonstrate that the spatial evolution of LLWS follows the directional migration of LLJs, with the high wind-speed region shifting from easterly sectors in the morning to westerly sectors in the afternoon and southerly sectors at night. These findings provide new observational insights into LLJ-related LLWS processes under high-altitude valley environments and contribute to improved understanding of low-level wind hazards in complex airport environments.