Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2307-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Characterization and bias correction of low-level jets at FINO1 using lidar observations and reanalysis data
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- Final revised paper (published on 01 Jul 2026)
- Preprint (discussion started on 10 Jun 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on wes-2025-91', Anonymous Referee #1, 08 Jul 2025
- AC1: 'Reply on RC1', Hai Bui, 12 May 2026
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RC2: 'Comment on wes-2025-91', Anonymous Referee #2, 16 Apr 2026
- AC2: 'Reply on RC2', Hai Bui, 12 May 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Hai Bui on behalf of the Authors (12 May 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (15 May 2026) by Julia Gottschall
ED: Publish as is (25 May 2026) by Jakob Mann (Chief editor)
AR by Hai Bui on behalf of the Authors (01 Jun 2026)
Author's response
Manuscript
The manuscript describes a novel method of characterizing low-level jets in lidar data and models, and then applies the method to a substantial dataset. The method is well designed and described, and has the several advantages described. Use of this method uncovers important differences between the observations and the models, which should be useful for model applications and improvement. The presentation is clear, complete, and concise. The only suggestion I have is that some more information about the goodness of fit might be helpful. In other words, how well do the log-jet profiles fit the data, and should criteria be applied to reject some data for insufficiently good fits, beyond the 20% falloff criterion?