Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 18
Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5323-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5323-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 18
Research article
 | 
20 Sep 2022
Research article |  | 20 Sep 2022

Quantification of motion-induced measurement error on floating lidar systems

Felix Kelberlau and Jakob Mann

Viewed

Total article views: 2,554 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,707 782 65 2,554 46 40
  • HTML: 1,707
  • PDF: 782
  • XML: 65
  • Total: 2,554
  • BibTeX: 46
  • EndNote: 40
Views and downloads (calculated since 02 May 2022)
Cumulative views and downloads (calculated since 02 May 2022)

Viewed (geographical distribution)

Total article views: 2,554 (including HTML, PDF, and XML) Thereof 2,573 with geography defined and -19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
Floating lidar systems are used for measuring wind speeds offshore, and their motion influences the measurements. This study describes the motion-induced bias on mean wind speed estimates by simulating the lidar sampling pattern of a moving lidar. An analytic model is used to validate the simulations. The bias is low and depends on amplitude and frequency of motion as well as on wind shear. It has been estimated for the example of the Fugro SEAWATCH wind lidar buoy carrying a ZX 300M lidar.
Read more