EPJ Web Conf.
Volume 176, 2018The 28th International Laser Radar Conference (ILRC 28)
|Number of page(s)||4|
|Published online||13 April 2018|
An automatic aerosol classification for earlinet: application and results
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
Published online: 13 April 2018
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.
© The Authors, published by EDP Sciences, 2018
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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