Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9254
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dc.contributor.authorMamouri, Rodanthi-Elisavet-
dc.contributor.authorAnsmann, Albert-
dc.contributor.otherΜαμούρη, Ροδάνθη-Ελισάβετ-
dc.date.accessioned2017-01-26T09:38:56Z-
dc.date.available2017-01-26T09:38:56Z-
dc.date.issued2016-05-17-
dc.identifier.citationAtmospheric Chemistry and Physics,2016, Volume 16, Issue 9, Pages 5905-5931en_US
dc.identifier.issn16807316-
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/9254-
dc.description.abstractWe investigate the potential of polarization lidar to provide vertical profiles of aerosol parameters from which cloud condensation nucleus (CCN) and ice nucleating particle (INP) number concentrations can be estimated. We show that height profiles of particle number concentrations n50, dry considering dry aerosol particles with radius > 50 nm (reservoir of CCN in the case of marine and continental non-desert aerosols), n100, dry (particles with dry radius > 100 nm, reservoir of desert dust CCN), and of n250, dry (particles with dry radius > 250 nm, reservoir of favorable INP), as well as profiles of the particle surface area concentration sdry (used in INP parameterizations) can be retrieved from lidar-derived aerosol extinction coefficients σ with relative uncertainties of a factor of 1.5-2 in the case of n50, dry and n100, dry and of about 25-50% in the case of n250, dry and sdry. Of key importance is the potential of polarization lidar to distinguish and separate the optical properties of desert aerosols from non-desert aerosol such as continental and marine particles. We investigate the relationship between σ, measured at ambient atmospheric conditions, and n50, dry for marine and continental aerosols, n100, dry for desert dust particles, and n250, dry and sdry for three aerosol types (desert, non-desert continental, marine) and for the main lidar wavelengths of 355, 532, and 1064 nm. Our study is based on multiyear Aerosol Robotic Network (AERONET) photometer observations of aerosol optical thickness and column-integrated particle size distribution at Leipzig, Germany, and Limassol, Cyprus, which cover all realistic aerosol mixtures. We further include AERONET data from field campaigns in Morocco, Cabo Verde, and Barbados, which provide pure dust and pure marine aerosol scenarios. By means of a simple CCN parameterization (with n50, dry or n100, dry as input) and available INP parameterization schemes (with n250, dry and sdry as input) we finally compute profiles of the CCN-relevant particle number concentration nCCN and the INP number concentration nINP. We apply the method to a lidar observation of a heavy dust outbreak crossing Cyprus and a case dominated by continental aerosol pollution.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.relationACTRIS PPP - Aerosols, Clouds and Trace gases Preparatory Phase Project-
dc.rights© 2016 Author(s)en_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectAERONETen_US
dc.subjectAerosolen_US
dc.subjectClouden_US
dc.subjectCondensation nucleusen_US
dc.subjectConcentration (composition)en_US
dc.subjectExtinction coefficienten_US
dc.subjectLidaren_US
dc.subjectNucleationen_US
dc.subjectParameterizationen_US
dc.subjectSize distributionen_US
dc.subjectSurface areaen_US
dc.subjectVertical profileen_US
dc.titlePotential of polarization lidar to provide profiles of CCN-and INP-relevant aerosol parametersen_US
dc.typeArticleen_US
dc.doi10.5194/acp-16-5905-2016en_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationLeibniz Institute for Tropospheric Researchen_US
dc.subject.categoryEarth and Related Environmental Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.countryGermanyen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.project.funderEC-
crisitem.project.grantno739530-
crisitem.project.fundingProgramH2020-
crisitem.project.openAireinfo:eu-repo/grantAgreement/EC/H2020/739530-
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