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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2022, Vol. 16 Issue (1) : 75-89    https://doi.org/10.1007/s11707-020-0838-9
RESEARCH ARTICLE
Validation of Doppler Wind Lidar during Super Typhoon Lekima (2019)
Shengming TANG1,2, Yun GUO3, Xu WANG3(), Jie TANG1, Tiantian LI1, Bingke ZHAO1, Shuai ZHANG1, Yongping LI1
1. Shanghai Typhoon Institute of China Meteorological Administration, Shanghai 200030, China
2. Key Laboratory of Numerical Modeling for Tropical Cyclones, China Meteorological Administration, Shanghai 200030, China
3. State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
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Abstract

This study undertook verification of the applicability and accuracy of wind data measured using a WindCube V2 Doppler Wind Lidar (DWL). The data were collected as part of a field experiment in Zhoushan, Zhejiang Province (China), which was conducted by Shanghai Typhoon Institute of China Meteorological Administration during the passage of Super Typhoon Lekima (2019). The DWL measurements were compared with balloon-borne GPS radiosonde (GPS sonde) data, which were acquired using balloons launched from the DWL location. Results showed that wind speed measured by GPS sonde at heights of<100 m is unreliable owing to the drift effect. Optimal agreement (at heights of>100 m) was found for DWL-measured wind speed time-averaged during the ascent of the GPS sonde from the ground surface to the height of 270 m (correlation coefficient: 0.82; root mean square (RMS): 2.19 m·s1). Analysis revealed that precipitation intensity (PI) exerts considerable influence on both the carrier-to-noise ratio and the rate of missing DWL data; however, PI has minimal effect on the wind speed bias of DWL measurements. Specifically, the rate of missing DWL data increased with increasing measurement height and PI. For PI classed as heavy rain or less (PI<12 mm·h1), the DWL data below 300 m were considered valid, whereas for PI classed as a severe rainstorm (PI>90 mm·h1), only data below 100 m were valid. Up to the height of 300 m, the RMS of the DWL measurements was nearly half that of wind profile radar (WPR) estimates (4.32 m·s1), indicating that DWL wind data are more accurate than WPR data under typhoon conditions.

Keywords Lidar      WindCube      GPS sonde      Super Typhoon Lekima      precipitation     
Corresponding Author(s): Xu WANG   
Online First Date: 15 December 2020    Issue Date: 04 March 2022
 Cite this article:   
Shengming TANG,Yun GUO,Xu WANG, et al. Validation of Doppler Wind Lidar during Super Typhoon Lekima (2019)[J]. Front. Earth Sci., 2022, 16(1): 75-89.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-020-0838-9
https://academic.hep.com.cn/fesci/EN/Y2022/V16/I1/75
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