Open Access
EPJ Web Conf.
Volume 237, 2020
The 29th International Laser Radar Conference (ILRC 29)
Article Number 02033
Number of page(s) 4
Section Aerosols
Published online 07 July 2020
  1. T. Deshler, et al. A review of global stratospheric aerosol: Measurements, importance, life cycle, and local stratospheric aerosol. Atmos. Res. 90, 223–232 (2008) [CrossRef] [Google Scholar]
  2. S. Kremser, et al. Stratospheric aerosol – observations, processes, and impact on climate. Rev. Geophys. 54, 278–335 (2016) [CrossRef] [Google Scholar]
  3. S. Solomon, et al. The Persistently Variable “Background” Stratospheric Aerosol Layer and Global Climate Change. Sci, 333, 866–870 (2011) [CrossRef] [PubMed] [Google Scholar]
  4. Zuev, V. V, et al. 30-year lidar observations of the stratospheric aerosol layer state over Tomsk (Western Siberia, Russia). Atmos. Chem. Phys. 17, 3067-3081 (2017) [CrossRef] [Google Scholar]
  5. S. Khaykin, et al. Variability and evolution of the midlatitude stratospheric aerosol budget from 22 years of ground-based lidar and satellite observations. Atmos. Chem. Phys. 17, 1829-1845 (2017) [CrossRef] [Google Scholar]
  6. S. Khaykin, et al. Stratospheric Smoke With Unprecedentedly High Backscatter Observed by Lidars Above Southern France. Geophys. Res. Lett. 45, 1639–1646 (2018) [CrossRef] [Google Scholar]
  7. A. Ansmann, et al. Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017. Atmos. Chem. Phys. 18, 11831–11845 (2018) [CrossRef] [Google Scholar]
  8. M. Haarig, et al. Depolarization and lidar ratio at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke. Atmos. Chem. Phys. 18, 11847-11861 (2018) [CrossRef] [Google Scholar]
  9. Q. Hu, et al. Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France. Atmos. Chem. Phys. 19, 1173-1193 (2019) [CrossRef] [Google Scholar]
  10. C Jimenez, et al. Polarization lidar: an extended three-signal calibration approach. Atmos. Meas. Tech. 12, 1077-1093 (2019) [CrossRef] [Google Scholar]
  11. H. Baars, et al. The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET. Atmos. Chem. Phys. 19, 15183–15198 (2019) [CrossRef] [Google Scholar]
  12. G. Pappalardo, et al. EARLINET: Towards an advanced sustainable European aerosol lidar network. Atmos. Meas. Tech. 7, 2389-2409 (2014) [CrossRef] [Google Scholar]
  13. H. Baars, et al. An overview of the first decade of Polly NET: An emerging network of automated Raman-polarization lidars for continuous aerosol profiling. Atmos. Chem. Phys. 16, 5111-5137 (2016) [CrossRef] [Google Scholar]
  14. K. Markowicz, et al. Study of aerosol optical properties during long-range transport of biomass burning from Canada to Central Europe in July 2013. J. Aeros. Sci. 101, 156-173 (2016) [CrossRef] [Google Scholar]
  15. R. Engelmann, et al. The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: The next generation. Atmos. Meas. Tech. 9, 1767-1784 (2016) [CrossRef] [Google Scholar]
  16. I. S. Stachlewska, et al. Raman lidar water vapour profiling over Warsaw, Poland. Atmos. Res. 194, 258-267 (2017) [CrossRef] [Google Scholar]
  17. J. D. Klett. Lidar inversion with variable backscatter/extinction ratios. Appl. Opt. 24, 1638–1643 (1985) [CrossRef] [PubMed] [Google Scholar]
  18. I. S. Stachlewska, et al. Modification of local urban aerosol properties by long-range transport of biomass burning aerosol. Remote Sens. 10, 412 (2018) [CrossRef] [Google Scholar]
  19. D. Wang, et al. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland, Atmos. Chem. Phys., 19, 13097–13128 (2019) [CrossRef] [Google Scholar]
  20. I.M. Brooks. Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles. J. Atmos. Ocean. Tech. 20, 1092-1105 (2003) [CrossRef] [Google Scholar]

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