| 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 | 01028 | |
| Number of page(s) | 4 | |
| Section | Joint CLRC/ILRC Session: New Lidar Technologies and Methods | |
| DOI | https://doi.org/10.1051/epjconf/202636201028 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636201028
Aerosol climatology from lidar observations using deep learning
(a) Remote Sensing Department, National Institute of Research and Development for Optoelectronics, 409 Atomistilor Street, Magurele, RO77125, Romania
(b) Institute of Meteorology and Climatology, University of Natural Resources and Life Sciences, 33 Gregor-Mendel Street, 1180 Vienna, Austria 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
This paper presents a methodology for deriving aerosol climatology with artificial intelligence using lidar observations combined with atmospheric modeling and unsupervised deep learning. The method can be applied to lidar measurements and modeled data, or their combination, if observed and modeled data are consistent. The advantages of the method are: ability to automatically retrieve the optical properties of aerosols, repeatability and scalability.
© The Authors, published by EDP Sciences, 2026
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