An automatic aerosol classification for earlinet: application and results

Papagiannopoulos, N.; Mona, Lucia; Amiridis, Vassilis; Binietoglou, Ioannis; D'Amico, Giuseppe; Schwarz, A.; Alados-Arboledas, L; Amodeo, Aldo; Apituley, Arnoud; Baars, Holger; Bortoli, D.; Comerón Tejero, Adolfo; Guerrero Rascado, Juan Luis; Kokkalis, P; Nicolae, D.; Papayannis, Alexander; Pappalardo, Gelsomina; Wandinger, Ulla; Wiegner, M.

doi:10.1051/epjconf/201817609012

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Document typeConference report

Date issued2018

Rights accessOpen Access

European Commisision's project

ACTRIS-2 - Aerosols, Clouds, and Trace gases Research InfraStructure (EC-H2020-654109)

Abstract

Aerosol typing is essential for understanding the impact of the different aerosol sources on climate, weather system and air quality. An aerosol classification method for EARLINET (European Aerosol Research Lidar Network) measurements is introduced which makes use the Mahalanobis distance classifier. The performance of the automatic classification is tested against manually classified EARLINET data. Results of the application of the method to an extensive aerosol dataset will be presented. © The Authors, published by EDP Sciences, 2018.

CitationPapagiannopoulos, N., Mona, L., Amiridis, V., Binietoglou, I., D'Amico, G., Schwarz, A., Alados-Arboledas, L., Amodeo, A., Apituley, A., Baars, H., Bortoli, D., Comeron, A., Guerrero Rascado, J., Kokkalis, P., Nicolae, D., Papayannis, A., Pappalardo, G., Wandinger, U., Wiegner, M. An automatic aerosol classification for earlinet: application and results. A: International Laser Radar Conference. "EPJ Web of Conferences". 2018.

URIhttp://hdl.handle.net/2117/122469

DOI10.1051/epjconf/201817609012

ISBN21016275

Publisher versionhttps://www.epj-conferences.org/articles/epjconf/abs/2018/11/epjconf_ilrc28_09012/epjconf_ilrc28_09012.html