Search Results
Lidar Ice nuclei estimates and how they relate with airborne in-situ measurements
2018, Marinou, Eleni, Amiridis, Vassilis, Ansmann, Albert, Nenes, Athanasios, Balis, Dimitris, Schrod, Jann, Binietoglou, Ioannis, Solomos, Stavros, Mamali, Dimitra, Engelmann, Ronny, Baars, Holger, Kottas, Michael, Tsekeri, Alexandra, Proestakis, Emmanouil, Kokkalis, Panagiotis, Goloub, Philippe, Cvetkovic, Bojan, Nichovic, Slobodan, Mamouri, Rodanthi, Pikridas, Michael, Stavroulas, Iasonas, Keleshis, Christos, Sciare, Jean
By means of available ice nucleating particle (INP) parameterization schemes we compute profiles of dust INP number concentration utilizing Polly-XT and CALIPSO lidar observations during the INUIT-BACCHUS-ACTRIS 2016 campaign. The polarization-lidar photometer networking (POLIPHON) method is used to separate dust and non-dust aerosol backscatter, extinction, mass concentration, particle number concentration (for particles with radius > 250 nm) and surface area concentration. The INP final products are compared with aerosol samples collected from unmanned aircraft systems (UAS) and analyzed using the ice nucleus counter FRIDGE.
Application of the Garrlic algorithm for the characterization of dust and marine particles utilizing the lidar-sunphotometer synergy
2016, Tsekeri, Alexandra, Amiridis, Vassilis, Lopatin, Anton, Marinou, Eleni, Kokkalis, Panos, Solomos, Stavros, Engelmann, Ronny, Baars, Holger, Wandinger, Ulla, Ansmann, Albert, Schüttemeyer, Dirk, Dubovik, Oleg
The importance of studying the vertical distribution of aerosol plumes is prominent in regional and climate studies. The new Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) provides this opportunity combining active and passive ground-based remote sensing from lidar and sunphotometer measurements. Here, we utilize GARRLiC capabilities for the characterization of Saharan dust and marine particles at the Eastern Mediterranean region during the Characterization of Aerosol mixtures of Dust And Marine origin Experiment (CHARADMExp). Two different case studies are presented, a dust-dominated case which we managed to characterize successfully in terms of the particle microphysical properties and their vertical distribution and a case of two separate layers of marine and dust particles for which the characterization proved to be more challenging.
Aerosol absorption profiling from the synergy of lidar and sun-photometry: The ACTRIS-2 campaigns in Germany, Greece and Cyprus
2018, Tsekeri, Alexandra, Amiridis, Vassilis, Lopatin, Anton, Marinou, Eleni, Giannakaki, Eleni, Pikridas, Michael, Sciare, Jean, Liakakou, Eleni, Gerasopoulos, Evangelos, Duesing, Sebastian, Corbin, Joel C., Gysel, Martin, Bukowiecki, Nicolas, Baars, Holger, Engelmann, Ronny, Wehner, Birgit, Kottas, Michael, Mamali, Dimitra, Kokkalis, Panagiotis, Raptis, Panagiotis I., Stavroulas, Iasonas, Keleshis, Christos, Müller, Detlef, Solomos, Stavros, Binietoglou, Ioannis, Mihalopoulos, Nikolaos, Papayannis, Alexandros, Stachlewska, Iwona S., Igloffstein, Julia, Wandinger, Ulla, Ansmann, Albert, Dubovik, Oleg, Goloub, Philippe, Nicolae, D., Makoto, A., Vassilis, A., Balis, D., Behrendt, A., Comeron, A., Gibert, F., Landulfo, E., McCormick, M.P., Senff, C., Veselovskii, I., Wandinger, U.
Aerosol absorption profiling is crucial for radiative transfer calculations and climate modelling. Here, we utilize the synergy of lidar with sun-photometer measurements to derive the absorption coefficient and single scattering albedo profiles during the ACTRIS-2 campaigns held in Germany, Greece and Cyprus. The remote sensing techniques are compared with in situ measurements in order to harmonize and validate the different methodologies and reduce the absorption profiling uncertainties.