An automatic aerosol classification for earlinet: Application and results
dc.bibliographicCitation.firstPage | 09012 | |
dc.bibliographicCitation.volume | 176 | |
dc.contributor.author | Papagiannopoulos, Nikolaos | |
dc.contributor.author | Mona, Lucia | |
dc.contributor.author | Amiridis, Vassilis | |
dc.contributor.author | Binietoglou, Ioannis | |
dc.contributor.author | D’Amico, Giuseppe | |
dc.contributor.author | Guma-Claramunt, P. | |
dc.contributor.author | Schwarz, Anja | |
dc.contributor.author | Alados-Arboledas, Lucas | |
dc.contributor.author | Amodeo, Aldo | |
dc.contributor.author | Apituley, Arnoud | |
dc.contributor.author | Baars, Holger | |
dc.contributor.author | Bortoli, Daniele | |
dc.contributor.author | Comeron, Adolfo | |
dc.contributor.author | Guerrero-Rascado, Juan Luis | |
dc.contributor.author | Kokkalis, Panos | |
dc.contributor.author | Nicolae, Doina | |
dc.contributor.author | Papayannis, Alex | |
dc.contributor.author | Pappalardo, Gelsomina | |
dc.contributor.author | Wandinger, Ulla | |
dc.contributor.author | Wiegner, Matthias | |
dc.contributor.editor | Nicolae, D. | |
dc.contributor.editor | Makoto, A. | |
dc.contributor.editor | Vassilis, A. | |
dc.contributor.editor | Balis, D. | |
dc.contributor.editor | Behrendt, A. | |
dc.contributor.editor | Comeron, A. | |
dc.contributor.editor | Gibert, F. | |
dc.contributor.editor | Landulfo, E. | |
dc.contributor.editor | McCormick, M.P. | |
dc.contributor.editor | Senff, C. | |
dc.contributor.editor | Veselovskii, I. | |
dc.contributor.editor | Wandinger, U. | |
dc.date.accessioned | 2023-06-02T15:03:44Z | |
dc.date.available | 2023-06-02T15:03:44Z | |
dc.date.issued | 2018 | |
dc.description.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. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/12345 | |
dc.identifier.uri | http://dx.doi.org/10.34657/11377 | |
dc.language.iso | eng | |
dc.publisher | Les Ulis : EDP Sciences | |
dc.relation.doi | https://doi.org/10.1051/epjconf/201817609012 | |
dc.relation.essn | 2100-014X | |
dc.relation.ispartofseries | The European physical journal: EPJ Web of Conferences 176 (2018) | eng |
dc.rights.license | CC BY 4.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Konferenzschrift | ger |
dc.subject.ddc | 530 | |
dc.title | An automatic aerosol classification for earlinet: Application and results | eng |
dc.type | bookPart | |
dc.type | Text | |
dcterms.bibliographicCitation.journalTitle | The European physical journal: EPJ Web of Conferences | |
tib.accessRights | openAccess | |
tib.relation.conference | 28th International Laser Radar Conference, ILRC 2017, 25-30 June 2017, Bucharest, Romania | eng |
wgl.contributor | TROPOS | |
wgl.subject | Physik | ger |
wgl.type | Buchkapitel / Sammelwerksbeitrag | ger |
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