Articles | Volume 9, issue 10
Atmos. Meas. Tech., 9, 4935–4953, 2016
https://doi.org/10.5194/amt-9-4935-2016

Special issue: EARLINET, the European Aerosol Research Lidar Network

Atmos. Meas. Tech., 9, 4935–4953, 2016
https://doi.org/10.5194/amt-9-4935-2016

Research article 07 Oct 2016

Research article | 07 Oct 2016

Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator

Juan Antonio Bravo-Aranda et al.

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Cited articles

Álvarez, J. M., Vaughan, M. A., Hostetler, C. A., Hunt, W. H., and Winker, D. M.: Calibration technique for Polarization-Sensitive Lidars, J. Atmos. Ocean. Tech., 23, 683–699, https://doi.org/10.1175/JTECH1872.1, 2006.
Ansmann, A., Mattis, I., Muller, D., Wandinger, U., Radlach, M., Althausen, D., and Damoah, R.: Ice formation in Saharan dust over central Europe observed with temperature/humidity/aerosol Raman lidar, J. Geophys. Res.-Atmos., 110, , D18S12, https://doi.org/10.1029/2004JD005000, 2005.
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Bravo-Aranda, J. A., Navas-Guzmán, F., Guerrero-Rascado, J. L., Pérez-Ramírez, D., Granados-Muñoz, M. J., and Alados-Arboledas, L.: Analysis of lidar depolarization calibration procedure and application to the atmospheric aerosol characterization, Int. J. Remote Sens., 34, 3543–3560, https://doi.org/10.1080/01431161.2012.716546, 2013.
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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.