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Method of Wind Shear Identification Based on Three-dimensional Wind Lidar
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Bing-jie XIE1, 2, Gai-li WANG2, *, Xin-xin LU3, Hong-fei CHEN2, Ke-yi CHEN1, Jia-feng ZHENG1, Qi-chao WANG4
Science Technology and Engineering | 2025, 25(22) : 9249 - 9259
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Science Technology and Engineering | 2025, 25(22): 9249-9259
Papers·General Natural Science
Method of Wind Shear Identification Based on Three-dimensional Wind Lidar
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Bing-jie XIE1, 2, Gai-li WANG2, *, Xin-xin LU3, Hong-fei CHEN2, Ke-yi CHEN1, Jia-feng ZHENG1, Qi-chao WANG4
Affiliations
  • 1 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
  • 2 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 3 Meteorological Center of Central South Air Traffic Management Bureau of CAAC, Guangzhou 510000, China
  • 4 Qingdao Leice Technology Co., Ltd., Qingdao 266000, China
Published: 2025-08-08 doi: 10.12404/j.issn.1671-1815.2406415
Outline
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Low level wind shear is an important factor affecting aircraft flight safety. Based on the observations from a three-dimensional scanning wind lidar at Baiyun Airport, Guangzhou during March 2023, the measurements from the wind lidar were preprocessed firstly. Then, TSSI (two-step identification method for wind shear) was proposed, which combined TDSI (two-dimensional synthetic wind shear identification) method with an adaptive window and the temporal wind shear identification method. The wind shear results recognized by the TSSI and TDSI methods were compared, and the evolutions of wind shear were analyzed. The main conclusions are as follows. Data preprocessing effectively removes isolated points and radial fluctuations observed by wind lidar, and fills in the missing data. The TSSI method is conducive to early warning of wind shear. During the observation period at Baiyun Airport, Guangzhou in March 2023, a total of 25 wind shear processes are identified by the TSSI. Among them, 21 cases are warned ahead of the TDSI, with an average warning time of 3~5 minutes, and TSSI also has a good alarm recognition function for both time and space dimension wind shear. Most of the identified wind shear processes occur around noon (e.g. 11:00-15:00) and last for about 15 minutes. The wind shear position is greatly influenced by the background wind field. The TSSI method proposed in this study can identify low-level wind shear earlier and more comprehensively, which is helpful to improve the accuracy of wind shear warning and provide guarantees for aircraft flight safety.

three-dimensional wind lidar  /  low level wind shear  /  two-dimensional synthetic wind shear  /  temporal wind shear  /  two-step identification of wind shear
Bing-jie XIE, Gai-li WANG, Xin-xin LU, Hong-fei CHEN, Ke-yi CHEN, Jia-feng ZHENG, Qi-chao WANG. Method of Wind Shear Identification Based on Three-dimensional Wind Lidar[J]. Science Technology and Engineering, 2025 , 25 (22) : 9249 -9259 . DOI: 10.12404/j.issn.1671-1815.2406415
Year 2025 volume 25 Issue 22
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Article Info
doi: 10.12404/j.issn.1671-1815.2406415
  • Receive Date:2024-08-26
  • Online Date:2026-02-11
  • Published:2025-08-08
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History
  • Received:2024-08-26
  • Revised:2025-05-12
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Affiliations
    1 School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
    2 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
    3 Meteorological Center of Central South Air Traffic Management Bureau of CAAC, Guangzhou 510000, China
    4 Qingdao Leice Technology Co., Ltd., Qingdao 266000, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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