Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1333-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-1333-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
22 Feb 2021
Research article |  | 22 Feb 2021

Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne

Giovanni Martucci, Francisco Navas-Guzmán, Ludovic Renaud, Gonzague Romanens, S. Mahagammulla Gamage, Maxime Hervo, Pierre Jeannet, and Alexander Haefele

Viewed

Total article views: 2,191 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,331 790 70 2,191 67 96
  • HTML: 1,331
  • PDF: 790
  • XML: 70
  • Total: 2,191
  • BibTeX: 67
  • EndNote: 96
Views and downloads (calculated since 10 Sep 2020)
Cumulative views and downloads (calculated since 10 Sep 2020)

Viewed (geographical distribution)

Total article views: 2,191 (including HTML, PDF, and XML) Thereof 2,105 with geography defined and 86 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
This article presents a validation of 1.5 years of pure rotational temperature data measured by the Raman lidar RALMO installed at the MeteoSwiss station of Payerne. The statistical results are in terms of bias and standard deviation with respect to two well-established radiosounding systems. The statistics are divided into daytime (bias = 0.28 K, SD = 0.62±0.03 K) and nighttime (bias = 0.29 K, SD = 0.66±0.06 K). The lidar temperature profiles are applied to cloud supersaturation studies.
Read more