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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 10, 83-107, 2017
http://www.atmos-meas-tech.net/10/83/2017/
doi:10.5194/amt-10-83-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
06 Jan 2017
Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing
Alexandra Tsekeri1, Vassilis Amiridis1, Franco Marenco2, Athanasios Nenes3,4,5, Eleni Marinou1,6, Stavros Solomos1, Phil Rosenberg7, Jamie Trembath8, Graeme J. Nott8, James Allan9,10, Michael Le Breton9, Asan Bacak9, Hugh Coe9, Carl Percival9, and Nikolaos Mihalopoulos4 1IAASARS, National Observatory of Athens, Athens, Greece
2Satellite Applications, Met Office, Exeter, UK
3Schools of Earth and Atmospheric Sciences and Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
4IERSD, National Observatory of Athens, Athens, Greece
5ICE-HT, Foundation for Research and Technology Hellas, Patras, Greece
6Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
7School of Earth and Environment, University of Leeds, Leeds, UK
8Facility for Airborne Atmospheric Measurements (FAAM), Cranfield, UK
9School of Earth, Atmospheric and Environmental Sciences, University of Manchester, Manchester, UK
10National Centre for Atmospheric Science, University of Manchester, Manchester, UK
Abstract. We present the In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) that combines airborne in situ and lidar remote sensing data to retrieve vertical profiles of ambient aerosol optical, microphysical and hygroscopic properties, employing the ISORROPIA II model for acquiring the particle hygroscopic growth. Here we apply the algorithm on data collected from the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft during the ACEMED campaign in the Eastern Mediterranean. Vertical profiles of aerosol microphysical properties have been derived successfully for an aged smoke plume near the city of Thessaloniki with aerosol optical depth of  ∼  0.4 at 532 nm, single scattering albedos of  ∼  0.9–0.95 at 550 nm and typical lidar ratios for smoke of  ∼  60–80 sr at 532 nm. IRRA retrieves highly hydrated particles above land, with 55 and 80 % water volume content for ambient relative humidity of 80 and 90 %, respectively. The proposed methodology is highly advantageous for aerosol characterization in humid conditions and can find valuable applications in aerosol–cloud interaction schemes. Moreover, it can be used for the validation of active space-borne sensors, as is demonstrated here for the case of CALIPSO.

Citation: Tsekeri, A., Amiridis, V., Marenco, F., Nenes, A., Marinou, E., Solomos, S., Rosenberg, P., Trembath, J., Nott, G. J., Allan, J., Le Breton, M., Bacak, A., Coe, H., Percival, C., and Mihalopoulos, N.: Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing, Atmos. Meas. Tech., 10, 83-107, doi:10.5194/amt-10-83-2017, 2017.
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The In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) provides vertical profiles of aerosol optical, microphysical and hygroscopic properties from airborne in situ and remote sensing measurements. The algorithm is highly advantageous for aerosol characterization in humid conditions, employing the ISORROPIA II model for acquiring the particle hygroscopic growth. IRRA can find valuable applications in aerosol–cloud interaction schemes and in validation of active space-borne sensors.
The In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) provides vertical profiles of...
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