Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 18
Articles | Volume 18, issue 18
https://doi.org/10.5194/amt-18-4755-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-4755-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 18
Research article
 | 
25 Sep 2025
Research article |  | 25 Sep 2025

Comparison of the performance between three Doppler wind lidars and a novel wind speed correction algorithm

Yidan Zhang, Hancheng Hu, Yuan Li, Mengqi Liu, Fugui Zhang, Huilian She, and Hao Wu

Viewed

Total article views: 5,391 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,705 1,439 247 5,391 192 252
  • HTML: 3,705
  • PDF: 1,439
  • XML: 247
  • Total: 5,391
  • BibTeX: 192
  • EndNote: 252
Views and downloads (calculated since 19 May 2025)
Cumulative views and downloads (calculated since 19 May 2025)

Viewed (geographical distribution)

Total article views: 5,391 (including HTML, PDF, and XML) Thereof 5,243 with geography defined and 148 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 Nov 2026
Download
Short summary
This study advances the field of low altitude wind field detection by systematically evaluating Doppler wind lidar performance against in situ balloon radiosonde under complex atmospheric conditions. We propose a novel machine learning framework for wind profile correction and the Aeolus satellite is used to verify the reliability of the algorithm further to enhance data reliability in meteorological remote sensing.
Read more
Share
Altmetrics
Final-revised paper
Preprint