An automatic aerosol classification for earlinet: application and results
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hdl:2117/122469
Document typeConference report
Defense date2018
Rights accessOpen Access
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Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectACTRIS-2 - Aerosols, Clouds, and Trace gases Research InfraStructure (EC-H2020-654109)
EUNADICS-AV - European Natural Airborne Disaster Information and Coordination System for Aviation (EC-H2020-723986)
EUNADICS-AV - European Natural Airborne Disaster Information and Coordination System for Aviation (EC-H2020-723986)
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.
ISBN21016275
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