Open Access
| Issue |
EPJ Web Conf.
Volume 237, 2020
The 29th International Laser Radar Conference (ILRC 29)
|
|
|---|---|---|
| Article Number | 02019 | |
| Number of page(s) | 3 | |
| Section | Aerosols | |
| DOI | https://doi.org/10.1051/epjconf/202023702019 | |
| Published online | 07 July 2020 | |
- I. S. Stachlewska, et al.: Modification of local urban aerosol properties by long-range transport of biomass burning aerosol, Rem. Sens., 10, 412, doi:10.3390/rs10030412 (2018) [Google Scholar]
- L. Janicka, and I. S. Stachlewska: Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties, Atmos. Chem. Phys. Discuss. (2019) [PubMed] [Google Scholar]
- R. Engelmann, et al.: The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: The next generation, Atmos. Meas. Tech., 9, 1767-1784, doi:10.5194/amt-9-1767-2016 (2016) [CrossRef] [Google Scholar]
- G. Pappalardo, et al.: EARLINET: Towards an advanced sustainable European aerosol lidar network, Atmos. Meas. Tech., 7, 2389-2409, doi: 10.5194/amt-7-2389-2014 (2014) [CrossRef] [Google Scholar]
- 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, doi:10.5194/acp16-5111-2016 (2016) [CrossRef] [Google Scholar]
- I. S. Stachlewska, et al.: Raman lidar water vapour profiling over Warsaw, Poland, Atmos. Res., 194, 258-267, doi:10.1016/j.atmosres.2017.05.004 (2017) [CrossRef] [Google Scholar]
- C. Böckmann, et al.: Microphysical aerosol parameters from multiwavelength lidar, J. Opt. Soc. Am. A, 22(3), 518–528, doi:10.1364/JOSAA.22.000518 (2005) [CrossRef] [PubMed] [Google Scholar]
- S. Samaras, et al.: Using Raman-lidar-based regularized microphysical retrievals and Aerosol Mass Spectrometer measurements for the characterization of biomass burning aerosols, J. Comput. Phys., 299, 156-174, doi:10.1016/j.jcp.2015.06.045 (2015) [CrossRef] [Google Scholar]
- D. Müller, et al.: Microphysical particle properties derived from inversion algorithms developed in the framework of EARLINET, Atmos. Meas. Tech., 9, 5007-5035, doi:10.5194/amt-9-5007-2016 (2016) [CrossRef] [Google Scholar]
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