Open Access
EPJ Web Conf.
Volume 176, 2018
The 28th International Laser Radar Conference (ILRC 28)
Article Number 05034
Number of page(s) 4
Section Lidars applications in atmospheric structure and composition: Aerosols, clouds, trace gases
Published online 13 April 2018
  1. Intergovemmental Panel on Climate Change, 2013: Chapter 7 of the 5th assessment report of the Intergovemmental Panel on Climate Change. [Google Scholar]
  2. Shuppe, M D., et al., 2008: A focus on mixed-phase clouds: The status of ground-based observational methods, Bull. Amer. Meteor. Soc., 89. 1549-1562. [CrossRef] [Google Scholar]
  3. Pruppacher, H. R., Klett, J. D., 1997: Microphysics of clouds and precipitation (2nd ed.), Springer. [Google Scholar]
  4. Hogan, R. J., et al., 2003: Characteristics of mixed-phase clouds. I: Lidar, radar and aircraft observations from CLARE'98, O. J. R. Meteorol Soc 129 (592), 2089-2116. [CrossRef] [Google Scholar]
  5. Myagkov, A., et al., 2016: Relationship between temperature and apparent shape of pristine ice crystals derived from Polarimetric cloud radar observations during the ACCEPT campaign, Atmos. Meas. Tech., 9. 3739-3754. [CrossRef] [Google Scholar]
  6. Bühl, J., et al., 2013: Towards a quantitative eharactenzation of heterogeneous ice forniation with lidar/radar: Comparison of CALIPSO/CloudSat with ground-based observations, Geophys. Res. Lett., 40, 4404-4408, doi:10.1002/grl.50792. [CrossRef] [Google Scholar]
  7. Sassen, K., 1991: The polarization lidar technique for cloud research: a review and eurrent assessment, Bull Am. Meteor. Soc., 72, 1848-1866. [Google Scholar]
  8. Pal, S. R., and Carswell, A. I., 1973: Polarization properties of lidar backscattering from clouds, Appl. Optics, 12 (7), 1530-1535. [Google Scholar]
  9. Klett, J. D., 1985: Lidar inversion with variable backscatter/extinetion ratios, Appl. Optics, 24, 1638-1643. [Google Scholar]
  10. Freudenthaler, V. 2016: About the effects of polarising optics on lidar signals and the Δ90 ealibration, Atmos. Meas. Tech 9, 4181-4255. [Google Scholar]
  11. Groβ, S. et al., 2013: Aerosol Classification by anbome high spectral resolution lidar observations, Atmos. Chem. Phys., 13(5), 2487-2505. [CrossRef] [Google Scholar]
  12. Dee D.P., et al., 2011: The ERA-Interm reanalysis: configuration and Performance of the data assimilation system. O. J. R. Meteorol Soc. 137: 553-597. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.