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        EARLINET: the European Aerosol Research Lidar Network for the Aerosol Climatology on Continental Scale

        Author
        Pappalardo, Gelsomina
        Boesenberg, Jens
        Amodeo, Aldo
        Ansmann, Albert
        Apituley, Arnoud
        Alados Arboledas, Lucas
        Balis, Dimitris
        Boeckmann, Christine
        Chaikovsky, Anatoly
        Comeron, Adolfo
        D'Amico, Giuseppe
        Freudenthaler, Volker
        Grigorov, Ivan
        Hansen, Georg
        Linne, Holger
        Kinne, Stefan
        Mattis, Ina
        Mona, Lucia
        Mueller, D.
        Mitev, Valentin
        Nicolae, Doina
        Papayannis, Alexandros
        Perrone, Maria Rita
        Pietruczuk, Aleksander
        Pujadas, Manuel
        Putaud, Jean-Philippe
        Ravetta, Francois
        Rizi, Vincenzo
        Simeonov, Valentin
        Spinelli, Nicola
        Trickl, Thomas
        Wandinger, U.
        Wiegner, Matthias
        Attention
        2299/13824
        Abstract
        Lidar techniques represent the most suitable tool to obtain information on the aerosol vertical distribution and therefore to close this kind of observational gap. Lidar networks are fundamental to study aerosol on large spatial scale and to investigate transport and modification phenomena. These are the motivations why EARLINET, the European Aerosol Research Lidar Network, was established in 2000, as a research program funded by the European Commission in the frame of the 5(th) framework program. After the end of the project, the network activity continued on the base of a voluntary association. At present, EARLINET consists of 25 lidar stations distributed over Europe. On March 2006, the EC Project EARLINET-ASOS (Advanced Sustainable Observation System) started on the base of the EARLINET infrastructure. This infrastructure project will enhance the operation of the network. EARLINET data can contribute significantly to the quantification of aerosol concentrations, radiative properties, long-range transport and budget, and prediction of future trends on European and global scale. It can also contribute to improve model treatment on a wide range of scales and to a better exploitation of present and future satellite data.
        Publication date
        2009
        Published in
        Current Problems in Atmospheric Radiation (IRS 2008)
        Other links
        http://hdl.handle.net/2299/13824
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