An automatic aerosol classification for earlinet: application and results
An automatic aerosol classification for earlinet: application and results
About this item
Full title
Author / Creator
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 and Wiegner, Matthias
Publisher
Les Ulis: EDP Sciences
Journal title
Language
English
Formats
Publication information
Publisher
Les Ulis: EDP Sciences
Subjects
More information
Scope and Contents
Contents
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...
Alternative Titles
Full title
An automatic aerosol classification for earlinet: application and results
Authors, Artists and Contributors
Author / Creator
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a9efbbc85e804b65b1e3874916f83335
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a9efbbc85e804b65b1e3874916f83335
Other Identifiers
ISSN
2100-014X,2101-6275
E-ISSN
2100-014X
DOI
10.1051/epjconf/201817609012
