An automatic aerosol classification for earlinet: application and results

Autor: Giuseppe D'Amico, Aldo Amodeo, Doina Nicolae, P. Kokkalis, Ulla Wandinger, Gelsomina Pappalardo, Holger Baars, Daniele Bortoli, Anja Schwarz, Alex Papayannis, Vassilis Amiridis, Lucia Mona, P. Guma-Claramunt, Arnoud Apituley, Adolfo Comerón, Juan Luis Guerrero-Rascado, Matthias Wiegner, Lucas Alados-Arboledas, Nikolaos Papagiannopoulos, Ioannis Binietoglou
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Rok vydání: 2018
Předmět:
Zdroj: EPJ Web of Conferences
28th International Laser Radar Conference, ILRC 2017; "Politehnica University of Bucharest", pp. Art.09012-1–Art.09012-4, Bucharest; Romania, 25 June 2017 through 30 June 2017
info:cnr-pdr/source/autori:Papagiannopoulos N.; Mona L.; Amiridis V.; Binietoglou I.; D'Amico G.; Guma-Claramunt P.; Schwarz A.; Alados-Arboledas L.; Amodeo A.; Apituley A.; Baars H.; Bortoli D.; Comeron A.; Guerrero-Rascado J.L.; Kokkalis P.; Nicolae D.; Papayannis A.; Pappalardo G.; Wandinger U.; Wiegner M./congresso_nome:28th International Laser Radar Conference, ILRC 2017; "Politehnica University of Bucharest"/congresso_luogo:Bucharest; Romania/congresso_data:25 June 2017 through 30 June 2017;/anno:2018/pagina_da:Art.09012-1/pagina_a:Art.09012-4/intervallo_pagine:Art.09012-1–Art.09012-4
Recercat. Dipósit de la Recerca de Catalunya
instname
EPJ Web of Conferences, Vol 176, p 09012 (2018)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 2100-014X
DOI: 10.1051/epjconf/201817609012
Popis: 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.
Databáze: OpenAIRE