Articles | Volume 14, issue 12
Research article
03 Dec 2021
Research article |  | 03 Dec 2021

Mitigation of bias sources for atmospheric temperature and humidity in the mobile Raman Weather and Aerosol Lidar (WALI)

Julien Totems, Patrick Chazette, and Alexandre Baron


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-132', Anonymous Referee #2, 27 Aug 2021
    • AC1: 'Reply on RC1', Julien Totems, 15 Oct 2021
    • AC2: 'Reply on RC1 (continuing)', Julien Totems, 15 Oct 2021
  • RC2: 'Comment on amt-2021-132', Anonymous Referee #1, 06 Sep 2021
    • AC3: 'Reply on RC2', Julien Totems, 15 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Julien Totems on behalf of the Authors (15 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Oct 2021) by Robert Sica
Short summary
We describe in detail the design and calibration of the new Raman channels for the WALI system, going over the important sources of bias and uncertainty on retrieved temperature profiles. For the first time, their impact is investigated using horizontal shots in a homogenous atmosphere: the magnitude of the highlighted biases can be much larger than the targeted absolute accuracy of 1° C. Actual measurement errors are quantified using radiosoundings launched close to the lidar site.