Articles | Volume 18, issue 21
Atmos. Chem. Phys., 18, 15879–15901, 2018
https://doi.org/10.5194/acp-18-15879-2018

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

Atmos. Chem. Phys., 18, 15879–15901, 2018
https://doi.org/10.5194/acp-18-15879-2018

Research article 06 Nov 2018

Research article | 06 Nov 2018

An automatic observation-based aerosol typing method for EARLINET

Nikolaos Papagiannopoulos et al.

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Latest update: 08 May 2021
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Short summary
A stand-alone automatic method for typing observations of the European Aerosol Research Lidar Network (EARLINET) is presented. The method compares the observations to model distributions that were constructed using EARLINET pre-classified data. The algorithm’s versatility and adaptability makes it suitable for network-wide typing studies.
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