An automatic aerosol classification for earlinet: application and results

Nikolaos Papagiannopoulos; Lucia Mona; Vassilis Amiridis; Ioannis Binietoglou; Giuseppe D’Amico; P. Guma-Claramunt; Anja Schwarz; Lucas Alados-Arboledas; Aldo Amodeo; Arnoud Apituley; Holger Baars; Daniele Bortoli; Adolfo Comeron; Juan Luis Guerrero-Rascado; Panos Kokkalis; Doina Nicolae; Alex Papayannis; Gelsomina Pappalardo; Ulla Wandinger; Matthias Wiegner

doi:10.1051/epjconf/201817609012

All issues

Volume 176 (2018)

EPJ Web Conf., 176 (2018) 09012

Abstract

Open Access

Issue		EPJ Web Conf. Volume 176, 2018 The 28^th International Laser Radar Conference (ILRC 28)


Article Number		09012
Number of page(s)		4
Section		Lidar networks
DOI		https://doi.org/10.1051/epjconf/201817609012
Published online		13 April 2018

EPJ Web of Conferences 176, 09012 (2018)
https://doi.org/10.1051/epjconf/201817609012

An automatic aerosol classification for earlinet: application and results

Nikolaos Papagiannopoulos¹^*, Lucia Mona¹, Vassilis Amiridis², Ioannis Binietoglou²^,3, Giuseppe D’Amico¹, P. Guma-Claramunt¹, Anja Schwarz⁴, Lucas Alados-Arboledas⁵^,6, Aldo Amodeo¹, Arnoud Apituley⁷, Holger Baars⁴, Daniele Bortoli⁸, Adolfo Comeron⁹, Juan Luis Guerrero-Rascado⁵^,6, Panos Kokkalis²^,10, Doina Nicolae³, Alex Papayannis¹⁰, Gelsomina Pappalardo¹, Ulla Wandinger⁴ and Matthias Wiegner¹¹

¹ Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l’Analisi Ambientale (CNR-IMAA), Tito Scalo (PZ), Italy
² IAASARS, National Observatory of Athens, Athens, Greece
³ National Institute of R&D for Optoelectronics (INOE), Magurele, Romania
⁴ Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
⁵ Instituto Interuniversitario de Investigación del Sistema Tierra en Andalucía (IISTA-CEAMA), Granada, España
⁶ Dpto. Física Aplicada, Universidad de Granada, Granada, España
⁷ Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
⁸ Earth Science Institute – ICT, Évora, Portugal
⁹ Dept. of Signal Theory and Communications, Remote Sensing Lab. (RSLab), Universitat Politècnica de Catalunya, Barcelona, Spain
¹⁰ Laser Remote Sensing Unit, Physics Dept., National Technical University of Athens, Greece
¹¹ Ludwig-Maximilians-Universität (LMU), Meteorologisches Institut, Munich, Germany

^* nikolaos.papagiannopoulos@imaa.cnr.it

Published online: 13 April 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.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).

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