Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign ...

• Main Authors: Tsekeri, Alexandra, Gialitaki, Anna, di Paolantonio, Marco, Dionisi, Davide, Liberti, Gian Luigi, Fernandes, Alnilam, Szkop, Artur, Pietruczuk, Aleksander, Pérez-Ramírez, Daniel, Granados Muñoz, Maria J., Guerrero-Rascado, Juan Luis, Alados-Arboledas, Lucas, Bermejo Pantaleón, Diego, Bravo-Aranda, Juan Antonio, Kampouri, Anna, Marinou, Eleni, Amiridis, Vassilis, Sicard, Michael, Comerón, Adolfo, Muñoz-Porcar, Constantino, Rodríguez-Gómez, Alejandro, Romano, Salvatore, Perrone, Maria Rita, Shang, Xiaoxia, Komppula, Mika, Mamouri, Rodanthi-Elisavet, Nisantz, Argyro, Hadjimitsis, Diofantos, Navas-Guzmán, Francisco, Haefele, Alexander, Szczepanik, Dominika, Tomczak, Artur, Stachlewska, Iwona S., Belegante, Livio, Nicolae, Doina, Voudouri, Kalliopi Artemis, Balis, Dimitris, Floutsi, Athena A., Baars, Holger, Milad, Linda, Pascal, Nicolas, Dubovik, Oleg, Lopatin, Anton
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Zenodo 2023
• Subjects: Aerosol Robotic Network
• Online Access: https://dx.doi.org/10.5281/zenodo.12796572; https://zenodo.org/doi/10.5281/zenodo.12796572

The European Aerosol Research Lidar Network (EARLINET), part of the Aerosols, Clouds and Trace gases Research Infrastructure (ACTRIS), organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during the COVID-19 lockdown and relaxation period. Besides the standard operational processing of the lidar data in EAR-LINET, for seven EARLINET sites having collocated sun-photometric observations in the Aerosol Robotic Network (AERONET), a network exercise was held in order to derive profiles of the concentration and effective column size distributions of the aerosols in the atmosphere, by applying the GRASP/GARRLiC (from Generalized Aerosol Retrieval from Radiometer and Lidar Combined data – GARRLiC –part of the Generalized Retrieval of Atmosphere and Surface Properties – GRASP) inversion algorithm. The objective ofthis network exercise was to explore the possibility of identifying the anthropogenic component and of monitoring its spatial and ...