Articles | Volume 21, issue 3
Atmos. Chem. Phys., 21, 2211–2227, 2021
https://doi.org/10.5194/acp-21-2211-2021

Special issue: EARLINET aerosol profiling: contributions to atmospheric and...

Atmos. Chem. Phys., 21, 2211–2227, 2021
https://doi.org/10.5194/acp-21-2211-2021
Research article
15 Feb 2021
Research article | 15 Feb 2021

Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations

Maria Mylonaki et al.

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Cited articles

Althausen, D., Engelmann, R., Baars, H., Heese, B., Ansmann, A., Müller, D., and Komppula, M.: Portable raman lidar pollyxt for automated profiling of aerosol backscatter, extinction, and depolarization, J. Atmos. Ocean. Technol., 26, 2366–2378, https://doi.org/10.1175/2009JTECHA1304.1, 2009. 
Amiridis, V., Giannakaki, E., Balis, D. S., Gerasopoulos, E., Pytharoulis, I., Zanis, P., Kazadzis, S., Melas, D., and Zerefos, C.: Smoke injection heights from agricultural burning in Eastern Europe as seen by CALIPSO, Atmos. Chem. Phys., 10, 11567–11576, https://doi.org/10.5194/acp-10-11567-2010, 2010. 
Ansmann, A., Wagner, F., Althausen, D., Müller, D., Herber, A., and Wandinger, U.: European pollution outbreaks during ACE 2: Lofted aerosol plumes observed with Raman lidar at the Portuguese coast, J. Geophys. Res. Atmos., 106, 20725–20733, https://doi.org/10.1029/2000JD000091, 2001. 
Baars, H., Ansmann, A., Althausen, D., Engelmann, R., Heese, B., Mller, D., Artaxo, P., Paixao, M., Pauliquevis, T., and Souza, R.: Aerosol profiling with lidar in the Amazon Basin during the wet and dry season, J. Geophys. Res. Atmos., 117, 1–16, https://doi.org/10.1029/2012JD018338, 2012. 
Balis, D. S., Amiridis, V., Zerefos, C., Gerasopoulos, E., Andreae, M., Zanis, P., Kazantzidis, A., Kazadzis, S., and Papayannis, A.: Raman lidar and sunphotometric measurements of aerosol optical properties over Thessaloniki, Greece during a biomass burning episode, Atmos. Environ., 37, 4529–4538, https://doi.org/10.1016/S1352-2310(03)00581-8, 2003. 
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We introduce an automated aerosol type classification method, SCAN. The output of SCAN is compared with two aerosol classification methods: (1) the Mahalanobis distance automatic aerosol type classification and (2) a neural network aerosol typing algorithm. A total of 97 free tropospheric aerosol layers from four EARLINET stations in the period 2014–2018 were classified.
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