Validation of Doppler Wind Lidar during Super Typhoon Lekima (2019)
Validation of Doppler Wind Lidar during Super Typhoon Lekima (2019)
复制标题
超强台风利奇马(2019)期间多普勒测风激光雷达的验证
DOI:
10.1007/s11707-020-0838-9
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发表时间:
2020-12
影响因子:
2
通讯作者:
Li Yongping
中科院分区:
文献类型:
--
作者:
Tang Shengming;Guo Yun;Wang Xu;Tang Jie;Li Tiantian;Zhao Bingke;Zhang Shuai;Li Yongping
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). 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·h−1), the DWL data below 300 m were considered valid, whereas for PI classed as a severe rainstorm (PI > 90 mm·h−1), 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·s−1), indicating that DWL wind data are more accurate than WPR data under typhoon conditions.
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DOI:
10.1007/978-1-4613-2937-4_6
发表时间:
1979
期刊:
--
影响因子:
--
作者:
C. Boisrobert
通讯作者:
C. Boisrobert
影响因子:
8
作者:
K. Lau;H. Weng
通讯作者:
K. Lau;H. Weng
影响因子:
9.3
作者:
J. Roadcap;P. Mcnicholl;E. Teets;Mitchell H. Laird
通讯作者:
J. Roadcap;P. Mcnicholl;E. Teets;Mitchell H. Laird
DOI:
10.3390/rs10060825
发表时间:
2018-05
期刊:
Remote. Sens.
影响因子:
--
作者:
Jun A. Zhang;R. Atlas;G. Emmitt;L. Bucci;K. Ryan
通讯作者:
Jun A. Zhang;R. Atlas;G. Emmitt;L. Bucci;K. Ryan
影响因子:
4.1
作者:
David Arthur Smith;M. Harris;A. Coffey;T. Mikkelsen;H. Jørgensen;J. Mann;Régis Danielian
通讯作者:
David Arthur Smith;M. Harris;A. Coffey;T. Mikkelsen;H. Jørgensen;J. Mann;Régis Danielian