Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar

Hongwei Zhang; Xiaoying Liu; Qichao Wang; Jianjun Zhang; Zhiqiang He; Xi Zhang; Rongzhong Li; Kailin Zhang; Junwu Tang; Songhua Wu

doi:10.3390/atmos12010050

Atmosphere (Dec 2020)

Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar

Hongwei Zhang,
Xiaoying Liu,
Qichao Wang,
Jianjun Zhang,
Zhiqiang He,
Xi Zhang,
Rongzhong Li,
Kailin Zhang,
Junwu Tang,
Songhua Wu

Affiliations

Hongwei Zhang: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
Xiaoying Liu: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
Qichao Wang: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
Jianjun Zhang: North China Regional Air Traffic Management Bureau of CAAC, Beijing 100621, China
Zhiqiang He: North China Regional Air Traffic Management Bureau of CAAC, Beijing 100621, China
Xi Zhang: North China Regional Air Traffic Management Bureau of CAAC, Beijing 100621, China
Rongzhong Li: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
Kailin Zhang: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
Junwu Tang: Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China
Songhua Wu: Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China

DOI: https://doi.org/10.3390/atmos12010050
Journal volume & issue: Vol. 12, no. 1
p. 50

Abstract

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Low-level wind shear is usually to be a rapidly changing meteorological phenomenon that cannot be ignored in aviation security service by affecting the air speed of landing and take-off aircrafts. The lidar team in Ocean University of China (OUC) carried out the long term particular researches on the low-level wind shear identification and regional wind shear inducement search at Beijing Capital International Airport (BCIA) from 2015 to 2020 by operating several pulsed coherent Doppler lidar (PCDL) systems. On account of the improved glide path scanning strategy and virtual multiple wind anemometers based on the rang height indicator (RHI) modes, the small-scale meteorological phenomenon along the glide path and/or runway center line direction can be captured. In this paper, the device configuration, scanning strategies, and results of the observation data are proposed. The algorithms to identify the low-level wind shear based on the reconstructed headwind profiles data have been tested and proved based on the lidar data obtained from December 2018 to January 2019. High spatial resolution observation data at vertical direction are utilized to study the regional wind shear inducement at the 36L end of BCIA under strong northwest wind conditions.

Published in Atmosphere

ISSN: 2073-4433 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science: Physics: Meteorology. Climatology
Website: http://www.mdpi.com/journal/atmosphere/

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