An automatic aerosol classification for earlinet: Application and results

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.

Description
Keywords
Konferenzschrift
Citation
Papagiannopoulos, N., Mona, L., Amiridis, V., Binietoglou, I., D’Amico, G., Guma-Claramunt, P., et al. (2018). An automatic aerosol classification for earlinet: Application and results (D. Nicolae, A. Makoto, A. Vassilis, D. Balis, A. Behrendt, A. Comeron, et al., eds.). Les Ulis : EDP Sciences. https://doi.org//10.1051/epjconf/201817609012
Collections
License
CC BY 4.0 Unported