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| Titel |
Aerosol classification using EARLINET measurements for an intensive observational period |
| VerfasserIn |
Nikolaos Papagiannopoulos, Lucia Mona, Gelsomina Pappalardo |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250135189
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| Publikation (Nr.) |
 EGU/EGU2016-16026.pdf |
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| Zusammenfassung |
| ACTRIS (Aerosols, Clouds and Trace gases Research Infrastructure Network) organized an
intensive observation period during summer 2012. This campaign aimed at the provision of
advanced observations of physical and chemical aerosol properties, at the delivery of
information about the 3D distribution of European atmospheric aerosols, and at
the monitoring of Saharan dust intrusions events. EARLINET (European Aerosol
Research Lidar Network) participated in the ACTRIS campaign through the addition of
measurements according to the EARLINET schedule as well as daily lidar-profiling
measurements around sunset by 11 selected lidar stations for the period from 8 June - 17
July.
EARLINET observations during this almost two-month period are used to characterize
the optical properties and vertical distribution of long-range transported aerosol over the
broader area of Mediterranean basin. The lidar measurements of aerosol intensive
parameters (lidar ratio, depolarization, Angstrom exponents) are shown to vary with
location and aerosol type. A methodology based on EARLINET observations of
frequently observed aerosol types is used to classify aerosols into seven separate
types.
The summertime Mediterranean basin is prone to African dust aerosols. Two major dust
events were studied. The first episode occurred from the 18 to 21 of the June and the second
one lasted from 28 June to 6 July. The lidar ratio within the dust layer was found to be
wavelength independent with mean values of 58±14 sr at 355 nm and 57±11 sr at 532 nm.
For the particle linear depolarization ratio, mean values of 0.27±0.04 at 532 nm have been
found.
Acknowledgements. The financial support for EARLINET in the ACTRIS Research
Infrastructure Project by the European Union’s Horizon 2020 research and innovation
programme under grant agreement no. 654169 and previously under grant agreement no.
262254 in the Seventh Framework Programme (FP7/2007-2013) is gratefully acknowledged. |
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