Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7525-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-7525-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 2,750 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,904 753 93 2,750 109 156
  • HTML: 1,904
  • PDF: 753
  • XML: 93
  • Total: 2,750
  • BibTeX: 109
  • EndNote: 156
Views and downloads (calculated since 29 Jul 2021)
Cumulative views and downloads (calculated since 29 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,750 (including HTML, PDF, and XML) Thereof 2,656 with geography defined and 94 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
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.
Read more
Share