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dc.contributor.authorTsekeri, Alexandra
dc.contributor.authorLopatin, Anton
dc.contributor.authorAmiridis, Vassilis
dc.contributor.authorMarinou, Eleni
dc.contributor.authorIgloffstein, Julia
dc.contributor.authorSiomos, Nikolaos
dc.contributor.authorSolomos, Stavros
dc.contributor.authorKokkalis, Panagiotis
dc.contributor.authorEngelmann, Ronny
dc.contributor.authorBaars, Holger
dc.contributor.authorGratsea, Myrto
dc.contributor.authorRaptis, Panagiotis I.
dc.contributor.authorBinietoglou, Ioannis
dc.contributor.authorMihalopoulos, Nikolaos
dc.contributor.authorKalivitis, Nikolaos
dc.contributor.authorKouvarakis, Giorgos
dc.contributor.authorBartsotas, Nikolaos
dc.contributor.authorKallos, George
dc.contributor.authorBasart, Sara
dc.contributor.authorSchuettemeyer, Dirk
dc.contributor.authorWandinger, Ulla
dc.contributor.authorAnsmann, Albert
dc.contributor.authorChaikovsky, Anatoli P.
dc.contributor.authorDubovik, Oleg
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationTsekeri, A. [et al.]. GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures. "Atmospheric Measurement Techniques", 20 Desembre 2017, vol. 10, p. 4995-5016.
dc.description.abstractThe Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and sun-photometric measurements. Here, we utilize the capabilities of both algorithms for the characterization of Saharan dust and marine particles, along with their mixtures, in the south-eastern Mediterranean during the CHARacterization of Aerosol mixtures of Dust and Marine origin Experiment (CHARADMExp). Three case studies are presented, focusing on dust-dominated, marine-dominated and dust–marine mixing conditions. GARRLiC and LIRIC achieve a satisfactory characterization for the dust-dominated case in terms of particle microphysical properties and concentration profiles. The marine-dominated and the mixture cases are more challenging for both algorithms, although GARRLiC manages to provide more detailed microphysical retrievals compared to AERONET, while LIRIC effectively discriminates dust and marine particles in its concentration profile retrievals. The results are also compared with modelled dust and marine concentration profiles and surface in situ measurements.
dc.description.sponsorshipThe research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation Programme ACTRIS-2 (grant agreement no. 654109). The work has been developed under the auspices of the ESA-ESTEC project “Characterization of Aerosol mixtures of Dust And Marine origin” contract no. IPL-PSO/FF/lf/14.489. The work was also supported by the European Research Council under the European Community’s Horizon 2020 research and innovation framework programme/ERC grant agreement 725698 (D-TECT). The publication was supported by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no. 602014, project ECARS (East European Centre for Atmospheric Remote Sensing). The authors acknowledge support through the Stavros Niarchos Foundation. BSC-DREAM8b simulations were performed on the Mare Nostrum supercomputer hosted by the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC).
dc.format.extent22 p.
dc.publisherEuropean Geosciences Union (EGU)
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 Spain
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible
dc.subject.lcshDust--Environmental aspects
dc.subject.otherDust particles
dc.subject.otherMarine particles
dc.titleGARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/725698/EU/Does dust triboelectrification affect our climate?/D-TECT
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/692014/EU/East European Centre for Atmospheric Remote Sensing/ECARS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/654109/EU/Aerosols, Clouds, and Trace gases Research InfraStructure/ACTRIS-2
upcommons.citation.publicationNameAtmospheric Measurement Techniques

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