| Issue |
EPJ Web Conf.
Volume 176, 2018
The 28th International Laser Radar Conference (ILRC 28)
|
|
|---|---|---|
| Article Number | 08015 | |
| Number of page(s) | 4 | |
| Section | Synergy of lidars and other sensors | |
| DOI | https://doi.org/10.1051/epjconf/201817608015 | |
| Published online | 13 April 2018 | |
https://doi.org/10.1051/epjconf/201817608015
A Calibration of the MeteoSwiss RAman Lidar for Meteorological Observations (RALMO)Water Vapour Mixing Ratio Measurements using a Radiosonde Trajectory Method
1
Department of Physics and Astronomy, The University of Western Ontario, London, Canada,
2
Federal Office of Meteorology and Climatology, MeteoSwiss, Switzerland
Published online: 13 April 2018
With only 50% downtime from 2007-2016, the RALMO lidar in Payerne, Switzerland, has one of the largest continuous lidar data sets available. These measurements will be used to produce an extensive lidar water vapour climatology using the Optimal Estimation Method introduced by Sica and Haefele (2016). We will compare our improved technique for external calibration using radiosonde trajectories with the standard external methods, and present the evolution of the lidar constant from 2007 to 2016.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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