| Autor: |
Tsekeri, Alexandra, Amiridis, Vassilis, Marenco, Franco, Nenes, Athanasios, Marinou, Eleni, Solomos, Stavros, Rosenberg, Phil, Trembath, Jamie, Nott, Graeme J., Allan, James, Le Breton, Michael, Bacak, Asan, Hugh Coe, Percival, Carl, Mihalopoulos, Nikolaos |
| Předmět: |
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| Zdroj: |
Atmospheric Measurement Techniques Discussions; 2016, p1-61, 61p |
| Abstrakt: |
We present the In-situ/Remote sensing aerosol Retrieval Algorithm (IRRA) that combines airborne in-situ and lidar remote sensing data to retrieve verti-cal profiles of ambient aerosol optical, microphysical and hygroscopic proper-ties, employing the ISORROPIA II model for acquiring the hygroscopic growth. Here we apply the algorithm on data collected from the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft dur-ing the ACEMED campaign in Eastern Mediterranean: vertical profiles of aerosol microphysical properties have been derived successfully for an aged smoke plume near the city of Thessaloniki with typical lidar ratios of ~60-80 & sr at 532 & nm, along with single scattering albedos of ~ & 0.9-0.95 at 550 & nm. The aerosol layer reaches the 3.5 & km with aerosol optical depth at ~ & 0.4 at 532 & nm. Our analysis shows that the smoke particles are highly hydrated 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 appli-cations 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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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