Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-4935-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-9-4935-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Oct 2016
Research article |
| 07 Oct 2016
Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
Institute Pierre-Simon Laplace, CNRS-Ecole Polytechnique, Paris,
France
Livio Belegante
National Institute of Research & Development for Optoelectronics
– INOE 2000, Magurele, Ilfov, Romania
Volker Freudenthaler
Ludwig-Maximilians-Universität Meteorologisches Institut,
München, Germany
Lucas Alados-Arboledas
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
Doina Nicolae
National Institute of Research & Development for Optoelectronics
– INOE 2000, Magurele, Ilfov, Romania
María José Granados-Muñoz
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
Juan Luis Guerrero-Rascado
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
Aldo Amodeo
Consiglio Nazionale delle Ricerche Istituto di Metodologie per
l'Analisi Ambientale I.M.A.A. – C.N.R., Potenza, Italy
Giusseppe D'Amico
Consiglio Nazionale delle Ricerche Istituto di Metodologie per
l'Analisi Ambientale I.M.A.A. – C.N.R., Potenza, Italy
Ronny Engelmann
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstr.
15, 04318 Leipzig, Germany
Gelsomina Pappalardo
Consiglio Nazionale delle Ricerche Istituto di Metodologie per
l'Analisi Ambientale I.M.A.A. – C.N.R., Potenza, Italy
Panos Kokkalis
Laser Remote Sensing Unit, National Technical University of Athens,
Physics Dept., 15780 Zografou, Greece
Rodanthy Mamouri
Department of Civil Engineering and Geomatics, Cyprus University Of
Technology, Lemesos, Cyprus
Alex Papayannis
Laser Remote Sensing Unit, National Technical University of Athens,
Physics Dept., 15780 Zografou, Greece
Francisco Navas-Guzmán
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
now at: Institute of Applied Physics (IAP), University of Bern, Bern,
Switzerland
Francisco José Olmo
Andalusian Institute for Earth System Research (IISTA-CEAMA), Granada,
Spain
Dpt. Applied Physics, University of Granada, Granada, Spain
Ulla Wandinger
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstr.
15, 04318 Leipzig, Germany
Francesco Amato
Consiglio Nazionale delle Ricerche Istituto di Metodologie per
l'Analisi Ambientale I.M.A.A. – C.N.R., Potenza, Italy
Martial Haeffelin
Institute Pierre-Simon Laplace, CNRS-Ecole Polytechnique, Paris,
France
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- Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe S. Solomos et al. 10.1016/j.atmosenv.2019.03.009
- Effects of a nonideal half-wave plate on the gain ratio calibration measurements in polarization lidars J. Luo et al. 10.1364/AO.56.008100
- Lidar Measurements of Dust Aerosols during Three Field Campaigns in 2010, 2011 and 2012 over Northwestern China T. Zhou et al. 10.3390/atmos9050173
- ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation A. Vainiger et al. 10.1109/TGRS.2022.3201436
- 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. 10.1364/OE.518259
- Tropospheric vertical profiling of the aerosol backscatter coefficient and the particle linear depolarization ratio for different aerosol mixtures during the PANACEA campaign in July 2019 at Volos, Greece M. Mylonaki et al. 10.1016/j.atmosenv.2021.118184
- Development of an all-day portable polarization lidar system based on the division-of-focal-plane scheme for atmospheric polarization measurements Z. Kong et al. 10.1364/OE.440017
- Visible, near-infrared dual-polarization lidar based on polarization cameras: system design, evaluation and atmospheric measurements Z. Kong et al. 10.1364/OE.463763
- Polarisation effects in lidar signals: determination, correction, and uncertainty calculation V. Freudenthaler et al. 10.1051/epjconf/201817601022
- Depolarization Ratio Profiles Calibration and Observations of Aerosol and Cloud in the Tibetan Plateau Based on Polarization Raman Lidar G. Dai et al. 10.3390/rs10030378
- Calibration and Calculation of Polarization Lidar J. Xian et al. 10.1029/2019EA000609
- Experimental techniques for the calibration of lidar depolarization channels in EARLINET L. Belegante et al. 10.5194/amt-11-1119-2018
- Polarization lidar: an extended three-signal calibration approach C. Jimenez et al. 10.5194/amt-12-1077-2019
- Scanning polarization lidar LOSA-M3: opportunity for research of crystalline particle orientation in the ice clouds G. Kokhanenko et al. 10.5194/amt-13-1113-2020
- Depolarization calibration and measurements using the CANDAC Rayleigh–Mie–Raman lidar at Eureka, Canada E. McCullough et al. 10.5194/amt-10-4253-2017
- Evaluation of LIRIC Algorithm Performance Using Independent Sun-Sky Photometer Data at Two Altitude Levels M. Granados-Muñoz et al. 10.3390/rs12050842
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain L. Wang et al. 10.3390/s19143186
- Modeling and Evaluation of the Systematic Errors for the Polarization-Sensitive Imaging Lidar Technique Z. Kong et al. 10.3390/rs12203309
- 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. 10.5194/amt-16-2353-2023
- How a mesoscale cyclonic vortex over Sahara leads to a dust outbreak in South-western Iberia F. Couto et al. 10.1016/j.atmosres.2020.105302
- Using paraxial approximation to describe the optical setup of a typical EARLINET lidar system P. Kokkalis 10.5194/amt-10-3103-2017
- Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France Q. Hu et al. 10.5194/acp-19-1173-2019
- Potential of polarization/Raman lidar to separate fine dust, coarse dust, maritime, and anthropogenic aerosol profiles R. Mamouri & A. Ansmann 10.5194/amt-10-3403-2017
- A polarization-sensitive imaging lidar for atmospheric remote sensing Z. Kong et al. 10.1016/j.jqsrt.2021.107747
- Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014 M. Haarig et al. 10.5194/acp-17-10767-2017
- A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results J. Bravo-Aranda et al. 10.5194/acp-17-6839-2017
- Polarization Raman Lidar for Atmospheric Monitoring in the Vipava Valley L. Wang et al. 10.1051/epjconf/202023702029
- Effects of systematic polarization errors on the retrieval of high-spectral-resolution lidar L. Wu et al. 10.1364/AO.526028
3 citations as recorded by crossref.
- An overview of the first decade of Polly<sup>NET</sup>: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. 10.5194/acp-16-5111-2016
- EARLINET instrument intercomparison campaigns: overview on strategy and results U. Wandinger et al. 10.5194/amt-9-1001-2016
- About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler 10.5194/amt-9-4181-2016
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
This work analyses the lidar polarizing sensitivity by means of the Stokes–Müller formalism and provides a new tool to quantify the systematic error of the volume linear depolarization ration (δ) using the Monte Carlo technique. Results evidence the importance of the lidar polarizing effects which can lead to systematic errors larger than 100 %. Additionally, we demonstrate that a proper lidar characterization helps to reduce the uncertainty.
This work analyses the lidar polarizing sensitivity by means of the Stokes–Müller formalism and...
Special issue