An automatic aerosol classification for earlinet: Application and results
dc.bibliographicCitation.firstPage | 09012 | |
dc.bibliographicCitation.journalTitle | The European physical journal: EPJ Web of Conferences | eng |
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.rights.license | CC BY 4.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject.ddc | 530 | |
dc.subject.gnd | Konferenzschrift | ger |
dc.title | An automatic aerosol classification for earlinet: Application and results | eng |
dc.type | BookPart | eng |
dc.type | Text | eng |
dcterms.event | 28th International Laser Radar Conference, ILRC 2017, 25-30 June 2017, Bucharest, Romania | |
tib.accessRights | openAccess | |
wgl.contributor | TROPOS | |
wgl.subject | Physik | ger |
wgl.type | Buchkapitel / Sammelwerksbeitrag | ger |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 67An-automatic-aerosol-classification.pdf
- Size:
- 277.78 KB
- Format:
- Adobe Portable Document Format
- Description: