| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 4 | |
| Section | Lidar Measurements of Clouds and Aerosol | |
| DOI | https://doi.org/10.1051/epjconf/202636202002 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636202002
Assessment of overlap function retrievals using ALHAMBRA dual multispectral Raman lidar
(a) Andalusian Institute for Earth System Research (IISTA), University of Granada Granada, 18006, Spain
(b) Department of Applied Physics, University of Granada Granada, 18071, Spain
(c) CommSensLab-UPC, Universitat Politècnica de Catalunya Barcelona, 08034 Spain Lead Author e-mail address: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
The determination of overlap functions in lidar systems is essential for accurate aerosol profiling, particularly in the near-field range overlap between the telescope field of view and laser beam arise. Despite the various methods proposed, obtaining accurate results remains a challenge, especially under heterogeneous aerosol conditions. This study evaluates different experimental approaches, including Klett-Fernand and Raman inversion methodologies, along with a direct methodology that benefits from having near- and far-range telescope signals from the same lidar system. By analyzing data from the ALHAMBRA dual multiwavelength Raman lidar system, the effectiveness and limitations of these approaches are assessed. The results underscore the importance of accurately retrieving overlap functions for atmospheric vertical profiling and highlight the potential of new possible approaches to decrease uncertainties associated with lidar inversion algorithms and lidar ratio assumptions.
© The Authors, published by EDP Sciences, 2026
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.
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