An automatic aerosol classification for earlinet: Application and results
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Date
2018
Volume
176
Issue
Journal
The European physical journal: EPJ Web of Conferences
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Book Title
Publisher
Les Ulis : EDP Sciences
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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.
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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 (Les Ulis : EDP Sciences; D. Nicolae, A. Makoto, A. Vassilis, D. Balis, A. Behrendt, A. Comeron, et al., eds.) [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
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License
CC BY 4.0 Unported