Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-1077-2019
© Author(s) 2019. 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-12-1077-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2019
Research article |
| 18 Feb 2019
| 18 Feb 2019
Polarization lidar: an extended three-signal calibration approach
Cristofer Jimenez
CORRESPONDING AUTHOR
Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
Ronny Engelmann
Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
Moritz Haarig
Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
Jörg Schmidt
University of Leipzig, Institute for Meteorology, Leipzig, 04103, Germany
Ulla Wandinger
Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
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Cited
14 citations as recorded by crossref.
- Stratospheric Smoke Properties Based on Lidar Observations in Autumn 2017 Over Warsaw D. Wang et al. https://doi.org/10.1051/epjconf/202023702033
- Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
- Preliminary results of water cloud and aerosol properties in the Yinchuan area using a Multi-wavelength lidar based on dual field of view J. Mao et al. https://doi.org/10.1016/j.optlastec.2021.107784
- TRAILS – a novel framework for time-height-resolved attribution of long-range transported wildfire smoke J. Roschke et al. https://doi.org/10.5194/gmd-19-9905-2026
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. https://doi.org/10.5194/amt-16-2353-2023
- Retrieval of the polarization gain ratio for polarization lidar using a hybrid data method H. Liu et al. https://doi.org/10.1364/AO.611733
- Development and evaluation of an online monitoring single-particle optical particle counter with polarization detection W. Yao et al. https://doi.org/10.1016/j.jes.2023.04.010
- Retrieval of Atmospheric Microphysical Parameters Using Triple-Wavelength Lidar: Influencing Factors and Case Studies Under Clean and Lightly Polluted Urban Conditions H. Hua et al. https://doi.org/10.3390/rs18121981
- Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
- The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET H. Baars et al. https://doi.org/10.5194/acp-19-15183-2019
- Experimental assessment of a micro-pulse lidar system in comparison with reference lidar measurements for aerosol optical properties retrieval C. Córdoba-Jabonero et al. https://doi.org/10.5194/amt-14-5225-2021
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. https://doi.org/10.5194/acp-25-3995-2025
- Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data B. Oladipo et al. https://doi.org/10.3390/rs16132344
14 citations as recorded by crossref.
- Stratospheric Smoke Properties Based on Lidar Observations in Autumn 2017 Over Warsaw D. Wang et al. https://doi.org/10.1051/epjconf/202023702033
- Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
- Preliminary results of water cloud and aerosol properties in the Yinchuan area using a Multi-wavelength lidar based on dual field of view J. Mao et al. https://doi.org/10.1016/j.optlastec.2021.107784
- TRAILS – a novel framework for time-height-resolved attribution of long-range transported wildfire smoke J. Roschke et al. https://doi.org/10.5194/gmd-19-9905-2026
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. https://doi.org/10.5194/amt-16-2353-2023
- Retrieval of the polarization gain ratio for polarization lidar using a hybrid data method H. Liu et al. https://doi.org/10.1364/AO.611733
- Development and evaluation of an online monitoring single-particle optical particle counter with polarization detection W. Yao et al. https://doi.org/10.1016/j.jes.2023.04.010
- Retrieval of Atmospheric Microphysical Parameters Using Triple-Wavelength Lidar: Influencing Factors and Case Studies Under Clean and Lightly Polluted Urban Conditions H. Hua et al. https://doi.org/10.3390/rs18121981
- Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
- The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET H. Baars et al. https://doi.org/10.5194/acp-19-15183-2019
- Experimental assessment of a micro-pulse lidar system in comparison with reference lidar measurements for aerosol optical properties retrieval C. Córdoba-Jabonero et al. https://doi.org/10.5194/amt-14-5225-2021
- Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence B. Gast et al. https://doi.org/10.5194/acp-25-3995-2025
- Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data B. Oladipo et al. https://doi.org/10.3390/rs16132344
Saved (final revised paper)
Latest update: 02 Nov 2026
Short summary
We propose an extended formalism for a full instrumental characterization of a three-channel lidar system, allowing the retrieval of highly accurate linear depolarization profiles. The results obtained at several depolarizing scenarios, the good agreement with the retrievals of a second collocated calibrated lidar system, and the long-term stability of the calibration parameters corroborate the potential and robustness of the new technique.
We propose an extended formalism for a full instrumental characterization of a three-channel...
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