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AN AUTOMATIC AEROSOL CLASSIFICATION FOR EARLINET: APPLICATION AND RESULTS.

Authors :
Papagiannopoulos, Nikolaos
Mona, Lucia
Amiridis, Vassilis
Binietoglou, Ioannis
D’Amico, Giuseppe
Guma-Claramunt, P.
Schwarz, Anja
Alados-Arboledas, Lucas
Amodeo, Aldo
Apituley, Arnoud
Baars, Holger
Bortoli, Daniele
Comeron, Adolfo
Guerrero- Rascado, Juan Luis
Kokkalis, Panos
Nicolae, Doina
Papayannis, Alex
Pappalardo, Gelsomina
Wandinger, Ulla
Wiegner, Matthias
Source :
EPJ Web of Conferences; 2018, Vol. 176 Issue 1, p1-4, 4p, 3 Charts, 1 Graph
Publication Year :
2018

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21016275
Volume :
176
Issue :
1
Database :
Complementary Index
Journal :
EPJ Web of Conferences
Publication Type :
Conference
Accession number :
129584135
Full Text :
https://doi.org/10.1051/epjconf/201817609012