An automatic aerosol classification for earlinet: application and results
oleh: 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
| Format: | Article |
|---|---|
| Diterbitkan: | EDP Sciences 2018-01-01 |
Deskripsi
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.