Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30745
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dc.contributor.authorSiomos, Nikolaos-
dc.contributor.authorBalis, Dimitris S.-
dc.contributor.authorVoudouri, Kalliopi A.-
dc.contributor.authorGiannakaki, Eleni-
dc.contributor.authorFilioglou, Maria-
dc.contributor.authorAmiridis, Vassilis-
dc.contributor.authorPapayannis, Alexandros D.-
dc.contributor.authorFragkos, Konstantinos-
dc.date.accessioned2023-11-06T10:43:07Z-
dc.date.available2023-11-06T10:43:07Z-
dc.date.issued2018-08-21-
dc.identifier.citationAtmospheric Chemistry and Physics, 2018, vol. 18, iss. 16, pp. 11885 - 11903en_US
dc.identifier.issn16807316-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30745-
dc.description.abstractIn this study we investigate the climatological behavior of the aerosol optical properties over Thessaloniki during the years 2003–2017. For this purpose, measurements of two independent instruments, a lidar and a sunphotometer, were used. These two instruments represent two individual networks, the European Lidar Aerosol Network (EARLINET) and the Aerosol Robotic Network (AERONET). They include different measurement schedules. Fourteen years of lidar and sunphotometer measurements were analyzed, independently of each other, in order to obtain the annual cycles and trends of various optical and geometrical aerosol properties in the boundary layer, in the free troposphere, and for the whole atmospheric column. The analysis resulted in consistent statistically significant and decreasing trends of aerosol optical depth (AOD) at 355 nm of ĝ'23.2 and ĝ'22.3 % per decade in the study period over Thessaloniki for the EARLINET and the AERONET datasets, respectively. Therefore, the analysis indicates that the EARLINET sampling schedule can be quite effective in producing data that can be applied to long-term climatological studies. It is also shown that the observed decreasing trend is mainly attributed to changes in the aerosol load inside the boundary layer. Seasonal profiles of the most dominant aerosol mixture types observed over Thessaloniki have been generated from the lidar data. The higher values of the vertically resolved extinction coefficient at 355 nm appear in summer, while the lower ones appear in winter. The dust component is more dominant in the free troposphere than in the boundary layer during summer. The biomass burning layers tend to arrive in the free troposphere during spring and summer. This kind of information can be quite useful for applications that require a priori aerosol profiles. For instance, they can be utilized in models that require aerosol climatological data as input, in the development of algorithms for satellite products, and also in passive remote-sensing techniques that require knowledge of the aerosol vertical distribution.en_US
dc.language.isoenen_US
dc.relation.ispartofAtmospheric Chemistry and Physicsen_US
dc.rights© by the authorsen_US
dc.subjectCentral Macedoniaen_US
dc.subjectGreeceen_US
dc.subjectThessalonikien_US
dc.subjectAERONETen_US
dc.subjectaerosol propertyen_US
dc.subjectalgorithmen_US
dc.subjectbiomass burningen_US
dc.subjectboundary layeren_US
dc.subjectlidaren_US
dc.subjectoptical depthen_US
dc.subjectphotometeren_US
dc.subjecttroposphereen_US
dc.subjectvertical distributionen_US
dc.titleAre EARLINET and AERONET climatologies consistent? the case of Thessaloniki, Greeceen_US
dc.typeArticleen_US
dc.collaborationAristotle University of Thessalonikien_US
dc.collaborationFinnish Meteorological Instituteen_US
dc.collaborationNational Observatory of Athensen_US
dc.collaborationUniversity of Athensen_US
dc.collaborationNational Technical University Of Athensen_US
dc.collaborationNational Institute of RandD for Optoelectronics INOE 2000en_US
dc.subject.categoryNATURAL SCIENCESen_US
dc.subject.categoryENGINEERING AND TECHNOLOGYen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.countryFinlanden_US
dc.countryRomaniaen_US
dc.subject.fieldNatural Sciencesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.5194/acp-18-11885-2018en_US
dc.identifier.scopus2-s2.0-85052005267en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85052005267en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
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dc.contributor.orcid#NODATA#en
dc.relation.issue16en_US
dc.relation.volume18en_US
cut.common.academicyear2022-2023en_US
dc.identifier.spage11885en_US
dc.identifier.epage11903en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1680-7324-
crisitem.journal.publisherEuropean Geosciences Union-
crisitem.author.orcid0000-0002-3009-2407-
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