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dc.contributor.authorTsekeri, A.
dc.contributor.authorAmiridis, Vassilis
dc.contributor.authorKokkalis, P
dc.contributor.authorBasart Alpuente, Sara
dc.contributor.authorChaikovsky, Anatoli
dc.contributor.authorDubovik, O
dc.contributor.authorMamouri, R.E.
dc.contributor.authorPapayannis, Alexander
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.date.accessioned2014-03-21T16:40:52Z
dc.date.available2014-03-21T16:40:52Z
dc.date.created2013-11-18
dc.date.issued2013-11-18
dc.identifier.citationTsekeri, A. [et al.]. Application of a synergetic lidar and sunphotometer algorithm for the characterization of a dust event over Athens, Greece. "British journal of environment and climate change", 18 Novembre 2013, vol. 3, núm. 4, p. 531-546.
dc.identifier.issn2231–4784
dc.identifier.urihttp://hdl.handle.net/2117/22339
dc.description.abstractWe present first retrievals of the Lidar-Radiometer Inversion Code (LIRIC), applied on combined lidar and sunphotometer data during a Saharan dust episode over Athens, Greece, on July 20, 2011. A full lidar dataset in terms of backscatter signals at 355, 532 and 1064 nm, as well as depolarization at 532 nm was acquired from the European Aerosol Research Network (EARLINET) station of Athens and combined with Aerosol Robotic Network (AERONET) data, in order to retrieve the concentration and extinction coefficient profiles of dust. The lidar measurements showed a free tropospheric layer between 1-5 km above Athens, with low Ångström exponent of ~0.5 and high particle depolarization ratio, ~25-30%, both values characteristic of dust particles. The application of LIRIC revealed high concentration profiles of non-spherical coarse particles in the layer, in the range of 0.04-0.07 ppb and a smaller fine particle component with concentrations of ~0.01 ppb. The extinction coefficients at 532 nm ranged between 50 and 90 Mm-1 for coarse non-spherical particles and between 25 and 50Mm-1 for fine particles. The retrievals were compared with modeled dust concentration and extinction coefficient profiles from the Dust Regional Atmospheric Modeling (BSC-DREAM8b), showing good agreement, especially for the coarse mode
dc.format.extent16 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Química del medi ambient::Química atmosfèrica
dc.subject.lcshAir quality -- Measurement
dc.subject.lcshMineral dust
dc.subject.lcshAtmospheric aerosols
dc.subject.lcshPhotomeetry
dc.subject.lcshSolar radiation
dc.subject.otherAerosol concentration
dc.subject.otherSaharan dust
dc.subject.otherLIRIC
dc.subject.otherlidar
dc.subject.othersunphotometer
dc.subject.otherEARLINET
dc.subject.otherAERONET
dc.titleApplication of a synergetic lidar and sunphotometer algorithm for the characterization of a dust event over Athens, Greece
dc.typeArticle
dc.subject.lemacAire -- Qualitat -- Mesurament
dc.subject.lemacPols mineral
dc.subject.lemacAerosols atmosfèrics
dc.subject.lemacFotometria
dc.subject.lemacRadiació solar
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.identifier.doi10.9734/BJECC/2013/2615#sthash.YeD42fFe.dpuf
dc.rights.accessOpen Access
local.identifier.drac13411133
dc.description.versionPostprint (published version)
local.citation.authorTsekeri, A.; Amiridis, V.; Kokkalis, P.; Basart, S.; Chaikovsky, A.; Dubovik, O.; Mamouri, R.E.; Papayannis, A.; Baldasano, J.
local.citation.publicationNameBritish journal of environment and climate change
local.citation.volume3
local.citation.number4
local.citation.startingPage531
local.citation.endingPage546


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain