EPJ Web of Conferences
Volume 119, 2016The 27th International Laser Radar Conference (ILRC 27)
|Number of page(s)||4|
|Section||Poster Session (Combining Lidar and Other Observations)|
|Published online||07 June 2016|
- Müller, D. et al., 2007: Multi-wavelength Raman lidar observations of particle growth during long-range transport of forest-fire smoke in the free troposphere, Geophys. Res. Lett., 34, L05803. [Google Scholar]
- Nemuc, A. et al., 2013: Assessment of aerosol’s mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations, Atmos. Meas. Tech., 6, 3243-3255. [CrossRef] [Google Scholar]
- Amiridis, V. et al., 2009: Optical characteristics of biomass burning aerosols over Southeastern Europe determined from UVRaman lidar measurements, Atmos. Chem. Phys., 9, 2431–2440. [CrossRef] [Google Scholar]
- Cubison, M J et al., 2011: Effects of aging on organic aerosol from open biomass burning smoke in aircraft and laboratory studies, Atmos. Chem. Phys. 11, 12049–12064 [CrossRef] [Google Scholar]
- Alados-Arboledas L. et al., 2011: Optical and microphysical properties of fresh biomass burning aerosol retrieved by Raman lidar, and star-and sunphotometry, Geophys. Res. Lett., 38(1), L01807. [CrossRef] [Google Scholar]
- Nicolae, D. et al., 2013: Characterization of fresh and aged biomass burning events using multiwavelength Raman lidar and mass spectrometry, J. Geophys. Res. Atmos., 118, 2956–2965. [CrossRef] [Google Scholar]
- Adler G. et al., 2011: Chemical, physical, and optical evolution of biomass burning aerosols: a case study, Atmos. Chem. Phys., 11, 1491-1503. [CrossRef] [Google Scholar]
- Wang, Y. et al., 2014: Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin, Atmos. Chem. Phys., 14, 12031-12053. [CrossRef] [Google Scholar]
- DeCarlo, P. F. et al., 2006: Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer, Anal. Chem., 78, 8281–8289. [CrossRef] [PubMed] [Google Scholar]
- Draxler, R.R. and Rolph, G.D., 2012: HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY Website [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.