Preprints
https://doi.org/10.5194/amt-2021-42
https://doi.org/10.5194/amt-2021-42
04 Mar 2021
 | 04 Mar 2021
Status: this preprint has been withdrawn by the authors.

Evaluation and Impact Factors of Doppler Wind Lidar during Super Typhoon Lekima (2019)

Xu Wang, Shengming Tang, Yun Guo, Jie Tang, and Shuai Zhang

Abstract. Doppler wind lidar (DWL) has been shown to obtain fairly accurate wind speeds in normal wind conditions. However, the evaluation of DWL winds under typhoon conditions is less common. This study evaluated the accuracy of wind data measured by two types of DWLs (WindPrint S4000 and WindCube V2), and investigated the impact of factors (e.g., precipitation and humidity) on the DWL-observed wind speed and direction. Data were collected from joint observations in Baoshan, Zhoushan and Taizhou (China) by the Shanghai Typhoon Institute during the passage of Super Typhoon Lekima in 2019. The DWL observations were compared with measured data from balloon-borne radiosonde released at the same location. The results showed that the 1-min average wind speed and direction of WindPrint S4000 were more consistent with the instantaneous observation data of the sounding balloon than those of WindCube V2. The applicability of DWL was poor when the precipitation intensity was larger than 50 mm · h−1. The DWL wind speed bias significantly increased when the relative humidity exceeded 85 %. When the drift distance of the sounding balloon (ldrift) was less than 1 km, the DWL wind speed bias decreased with an increase of ldrift, whereas it increased with an increase of ldrift when the drift exceeded 1.5 km. Within a radius of 700 km, the root mean square of wind speeds between DWL and sounding balloon measurements showed a trend of increasing as the distance from the typhoon center decreased.

This preprint has been withdrawn.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Xu Wang, Shengming Tang, Yun Guo, Jie Tang, and Shuai Zhang

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-42', Anonymous Referee #1, 18 Apr 2021
  • RC2: 'Comment on amt-2021-42', Anonymous Referee #2, 09 Aug 2021

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-42', Anonymous Referee #1, 18 Apr 2021
  • RC2: 'Comment on amt-2021-42', Anonymous Referee #2, 09 Aug 2021
Xu Wang, Shengming Tang, Yun Guo, Jie Tang, and Shuai Zhang
Xu Wang, Shengming Tang, Yun Guo, Jie Tang, and Shuai Zhang

Viewed

Total article views: 1,205 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
829 330 46 1,205 46 70
  • HTML: 829
  • PDF: 330
  • XML: 46
  • Total: 1,205
  • BibTeX: 46
  • EndNote: 70
Views and downloads (calculated since 04 Mar 2021)
Cumulative views and downloads (calculated since 04 Mar 2021)

Viewed (geographical distribution)

Total article views: 1,156 (including HTML, PDF, and XML) Thereof 1,156 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Jun 2024
Download

This preprint has been withdrawn.

Short summary
Doppler wind lidar (DWL) has been shown to obtain fairly accurate wind speeds in normal wind conditions. However, the evaluation of DWL winds under typhoon conditions is less common. This study evaluated the accuracy of wind data and investigated the impact of factors (e.g., precipitation and humidity) on the DWL-observed winds at three locations in China during Super Typhoon Lekima (2019). This study is expected to provide support for the use of DWL in tropical cyclone observations.