Articles | Volume 19, issue 19
https://doi.org/10.5194/amt-19-6415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-6415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Oct 2026
Research article |
| 13 Oct 2026
| 13 Oct 2026
New operational perspective to identify aerosols and hydrometeors in real-time with a pioneering algorithm (CONIOPOL) based on single-wavelength polarization lidar (CL61)
Quentin Laffineur
CORRESPONDING AUTHOR
Atmospheric Composition, Measurement and Modelling group, ACM, Observations Department, Royal Meteorological Institute of Belgium, Uccle, 1180, Belgium
Alexander Mangold
Atmospheric Composition, Measurement and Modelling group, ACM, Observations Department, Royal Meteorological Institute of Belgium, Uccle, 1180, Belgium
Andy W. Delcloo
Atmospheric Composition, Measurement and Modelling group, ACM, Observations Department, Royal Meteorological Institute of Belgium, Uccle, 1180, Belgium
Department of Physics and Astronomy, Ghent University, Ghent, 9000, Belgium
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Short summary
CONIOPOL (CONIOlogy + POLarization) is a new algorithm for continuous, real-time classification of aerosols and hydrometeors using a single-wavelength polarization-enabled automatic lidar. Applied to one year of CL61 observations in Belgium, it provides physically consistent aerosol typing and seasonal patterns. Comparisons with CAMS (Copernicus Atmosphere Monitoring Service) and sensitivity tests support its potential for operational monitoring and long-term aerosol climatology.
CONIOPOL (CONIOlogy + POLarization) is a new algorithm for continuous, real-time classification...
